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The following lists the discussion papers and final revised papers published within the last 90 days. All papers Final revised papers only Discussion papers only 27 Mar 2020 Meteorological drought lacunarity around the world andits classification
Robert Monjo, Dominic Royé, and Javier Martin-Vide Earth Syst. Sci. Data, 12, 741–752, https://doi.org/10.5194/essd-12-741-2020,https://doi.org/10.5194/essd-12-741-2020,2020
26 Mar 2020 Laboratory, field, mast-borne and airborne spectral reflectance measurements of boreal landscape during spring Henna-Reetta Hannula, Kirsikka Heinilä, Kristin Böttcher, Olli-Pekka Mattila, Miia Salminen, and Jouni Pulliainen Earth Syst. Sci. Data, 12, 719–740, https://doi.org/10.5194/essd-12-719-2020,https://doi.org/10.5194/essd-12-719-2020,2020 Short summary
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We publish and describe a surface spectral reflectance data record of seasonal snow (dry, wet, shadowed), forest ground (lichen, moss) and forest canopy (spruce and pine, branches) constituting the main elements of the boreal landscape and collected at four scales. The data record describes the characteristics and variability of the satellite scene reflectance contributors in boreal landscape, thus enabling the development of improved optical satellite snow mapping methods for forested areas.Hide
25 Mar 2020 Greenhouse gas observations from the Northeast Corridortower network
Anna Karion, William Callahan, Michael Stock, Steve Prinzivalli, Kristal R. Verhulst, Jooil Kim, Peter K. Salameh, Israel Lopez-Coto,and James Whetstone
Earth Syst. Sci. Data, 12, 699–717, https://doi.org/10.5194/essd-12-699-2020,https://doi.org/10.5194/essd-12-699-2020,2020 Short summary
Short summary
Our paper presents atmospheric concentrations of carbon dioxide and methane in the northeastern United States. We also describe the collection, quality control, and uncertainty estimation methods associated with the observations. The network is composed of 23 tower-based stations, including a dense sub-network in the Washington, DC, and Baltimore, Maryland, urban areas. Observations can be used to assess greenhouse gas emissions from these cities and regions.Hide
23 Mar 2020 Soil moisture and matric potential – an open field comparison of sensor systems Conrad Jackisch, Kai Germer, Thomas Graeff, Ines Andrä, Katrin Schulz, Marcus Schiedung, Jaqueline Haller-Jans, Jonas Schneider, Julia Jaquemotte, Philipp Helmer, Leander Lotz, Andreas Bauer, Irene Hahn, Martin Šanda, Monika Kumpan, Johann Dorner, Gerrit de Rooij, Stefan Wessel-Bothe, Lorenz Kottmann, Siegfried Schittenhelm, andWolfgang Durner
Earth Syst. Sci. Data, 12, 683–697, https://doi.org/10.5194/essd-12-683-2020,https://doi.org/10.5194/essd-12-683-2020,2020 Short summary
Short summary
Soil water content and matric potential are central hydrological state variables. A large variety of automated probes and sensor systems for field monitoring exist. In a field experiment under idealised conditions we compared 15 systems for soil moisture and 14 systems for matric potential. The individual records of one system agree well with the others. Most records are also plausible. However, the absolute values of the different measuring systems span a very large range of possible truths.Hide
23 Mar 2020 An integration of gauge, satellite and reanalysis precipitation datasets for the largest river basin of the TibetanPlateau
Yuanwei Wang, Lei Wang, Xiuping Li, Jing Zhou, and Zhidan Hu Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-16,https://doi.org/10.5194/essd-2020-16,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
Short summary
This article is to provide a better precipitation product for the largest river basin of Tibetan Plateau, the Upper Brahmaputra River Basin, suitable for use in hydrological simulations and other climate change studies. We integrate gauge, satellite and reanalysis precipitation datasets to generate a new dataset. The new product has been rigorously validated at various temporal and spatial scales with gauge precipitation observations as well as in cryosphere hydrologicalsimulations.
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20 Mar 2020 A Fundamental Climate Data Record of SMMR, SSM/I, and SSMIS brightness temperatures Karsten Fennig, Marc Schröder, Axel Andersson, and Rainer Hollmann Earth Syst. Sci. Data, 12, 647–681, https://doi.org/10.5194/essd-12-647-2020,https://doi.org/10.5194/essd-12-647-2020,2020 Short summary
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A Fundamental Climate Data Record (FCDR) from satellite-borne microwave radiometers has been created, covering the time period from October 1978 to December 2015. This article describes how the observations are processed, calibrated, corrected, inter-calibrated, and evaluated in order to provide a homogeneous data record of brightness temperatures across 10 different instruments aboard three different satellite platforms.Hide
20 Mar 2020 A cultivated planet in 2010: 2. the global gridded agricultural production maps Qiangyi Yu, Liangzhi You, Ulrike Wood-Sichra, Yating Ru, Alison K. B. Joglekar, Steffen Fritz, Wei Xiong, Miao Lu, Wenbin Wu, and Peng Yang Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-11,https://doi.org/10.5194/essd-2020-11,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
Short summary
SPAM makes plausible estimates of crop distribution within disaggregated units, which moves the data from coarser units such as countries and provinces, to finer units such as grid cells, and creats a global gridscape at the confluence between earth and agricultural production systems. It improves spatial understanding of crop production systems and allows policymakers to better target agricultural and rural development policies for increasing food security with minimal environmental impacts.Hide
20 Mar 2020 Heat stored in the Earth system: Where does the energy go? The GCOS Earth heat inventory team Karina von Schuckmann, Lijing Cheng, Matthew D. Palmer, Caterina Tassone, Valentin Aich, Susheel Adusumilli, Hugo Beltrami, Tim Boyer, Francisco José Cuesta-Valero, Damien Desbruyères, Catia Domingues, Almudena García-García, Pierre Gentine, John Gilson, Maximilian Gorfer, Leopold Haimberger, Masayoshi Ishii, Gregory C. Johnson, Rachel Killik, Brian A. King, Gottfried Kirchengast, Nicolas Kolodziejczyk, John Lyman, Ben Marzeion, Michael Mayer, Maeva Monier, Didier Paolo Monselesan, Sarah Purkey, Dean Roemmich, Axel Schweiger, Sonia I. Seneviratne, Andrew Shepherd, Donald A. Slater, Andrea K. Steiner, Fiammetta Straneo, Mary-Louise Timmermans, and Susan E.Wijffels
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-255,https://doi.org/10.5194/essd-2019-255,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
Short summary
Understanding how much and where the heat is distributed in the Earth system is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This study is a Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory over the period 1960–2018.Hide
20 Mar 2020 A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015 Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, and Clovis Galiez Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-35,https://doi.org/10.5194/essd-2020-35,2020
Preprint under review for ESSD (discussion: open, 1 comment) Shortsummary
Short summary
We present a dataset of annual glacier mass changes for all the 661 glaciers in the French Alps for the 1967–2015 period, reconstructed using deep learning (i.e. artificial intelligence). We estimate an average annual mass loss of −0.72 ± 0.20 m w.e, being the highest in the Chablais, Ubaye and Champsaur massifs, and the lowest in the Mont-Blanc, Oisans and Haute-Tarentaise ranges. This dataset could be of interest to hydrology and ecology studies on glacierized catchments in the French Alps.Hide
19 Mar 2020 Replacing missing values in the standard Multi-angle Imaging SpectroRadiometer (MISR) radiometric camera-by-camera cloud mask (RCCM) data product Michel M. Verstraete, Linda A. Hunt, Hugo De Lemos, and Larry DiGirolamo
Earth Syst. Sci. Data, 12, 611–628, https://doi.org/10.5194/essd-12-611-2020,https://doi.org/10.5194/essd-12-611-2020,2020 Short summary
Short summary
The radiometric camera-by-camera cloud mask product, available for each of the nine cameras of the MISR instrument, contains a variable number of missing values, especially wherever and whenever the instrument is switched from the Global to Local Mode of operation. This paper proposes a simple method for effectively replacing those missing values and demonstrates the performance of the process. MISR data and software tools are obtainable from public domain websites to explore this issue further.Hide
19 Mar 2020 High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin Zilefac Elvis Asong, Mohamed Ezzat Elshamy, Daniel Princz, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, and Alex Cannon Earth Syst. Sci. Data, 12, 629–645, https://doi.org/10.5194/essd-12-629-2020,https://doi.org/10.5194/essd-12-629-2020,2020 Short summary
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This dataset provides an improved set of forcing data for large-scale hydrological models for climate change impact assessment in the Mackenzie River Basin (MRB). Here, the strengths of two historical datasets were blended to produce a less-biased long-record product for hydrological modelling and climate change impact assessment over the MRB. This product is then used to bias-correct climate projections from the Canadian Regional Climate Model under RCP8.5.Hide
18 Mar 2020 Simplified SAGE II ozone data usage rules Stefanie Kremser, Larry W. Thomason, and Leroy J. Bird Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-51,https://doi.org/10.5194/essd-2020-51,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
Short summary
Since space-based measurements of stratospheric composition started, a plethora of "generally accepted" screening methods have been developed, tailored to each measurement system and to each anticipated use of the data. These methods are often inconsistent, ad-hoc, and untraceable and seldom revised even after significant revisions to the data themselves. Here we developed new and simplified SAGE II ozone data usage rules which are based on how the measurements were made.Hide
17 Mar 2020 Marine carbonyl sulfide (OCS) and carbon disulfide (CS2): a compilation of measurements in seawater and the marine boundarylayer
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020,https://doi.org/10.5194/essd-12-591-2020,2020 Short summary
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Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipbornemeasurements.
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13 Mar 2020 SISALv2: A comprehensive speleothem isotope database with multiple age-depth models Laia Comas-Bru, Kira Rehfeld, Carla Roesch, Sahar Amirnezhad-Mozhdehi, Sandy P. Harrison, Kamolphat Atsawawaranunt, Syed Masood Ahmad, Yassine Ait Brahim, Andy Baker, Matthew Bosomworth, Sebastian F. M. Breitenbach, Yuval Burstyn, Andrea Columbu, Michael Deininger, Attila Demény, Bronwyn Dixon, Jens Fohlmeister, István Gábor Hatvani, Jun Hu, Nikita Kaushal, Zoltán Kern, Inga Labuhn, Franziska A. Lechleitner, Andrew Lorrey, Belen Martrat, Valdir Felipe Novello, Jessica Oster, Carlos Pérez-Mejías, Denis Scholz, Nick Scroxton, Nitesh Sinha, Brittany Marie Ward, Sophie Warken, Haiwei Zhang, andthe SISAL members
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-39,https://doi.org/10.5194/essd-2020-39,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
Short summary
This paper presents an updated version of the SISAL (Speleothem Isotope Synthesis and Analysis) database. This new version contains isotopic data from 691 speleothem records from 294 cave sites and new age-depth models, including their uncertainties, for 512 speleothems.Hide
12 Mar 2020 The dead line for oil and gas and implication for fossilresource prediction
Xiongqi Pang, Chengzao Jia, Kun Zhang, Maowen Li, Youwei Wang, Junwen Peng, Boyuan Li, and Junqing Chen Earth Syst. Sci. Data, 12, 577–590, https://doi.org/10.5194/essd-12-577-2020,https://doi.org/10.5194/essd-12-577-2020,2020 Short summary
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Based on geochemical data of 13 634 source rock samples from 1286 wells and 116 489 drilling results for oil and gas from 4978 wells in six major basins of China, we proposed the concept of the active source rock depth limit. It can be used to clarify and predict the maximum depth of fossil fuel distribution in sedimentary basins. The study provides fundamental information for deep hydrocarbon exploration and also advances understanding of the vertical distribution of fossil fuels on our planet.Hide
11 Mar 2020 A global gridded (0.1° × 0.1°) inventory of methane emissions from oil, gas, and coal exploitation based on national reports to the United Nations Framework Convention on ClimateChange
Tia R. Scarpelli, Daniel J. Jacob, Joannes D. Maasakkers, Melissa P. Sulprizio, Jian-Xiong Sheng, Kelly Rose, Lucy Romeo, John R. Worden, and Greet Janssens-Maenhout Earth Syst. Sci. Data, 12, 563–575, https://doi.org/10.5194/essd-12-563-2020,https://doi.org/10.5194/essd-12-563-2020,2020 Short summary
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Methane, a potent greenhouse gas, is emitted through the exploitation of oil, gas, and coal resources, and many efforts to reduce emissions have targeted these sources. We have created a global inventory of oil, gas, and coal methane emissions based on country reporting to the United Nations. The inventory can be used along with satellite observations of methane to better understand the contribution of these sources to global emissions and to identify potential biases in emissions reporting.Hide
11 Mar 2020 A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach Daniel Broullón, Fiz F. Pérez, Antón Velo Lanchas, Mario Hoppema, Are Olsen, Taro Takahashi, Robert M. Key, Toste Tanhua, J. Magdalena Santana-Casiano, and Alex Kozyr Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-37,https://doi.org/10.5194/essd-2020-37,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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This work offers a vision of the global ocean regarding the carbon cycle and the implications of ocean acidification through a climatology of a changing variable in the context of climate change: total dissolved inorganic carbon. The climatology was designed through artificial intelligence techniques to represent the mean state of the present ocean. It is very useful to introduce in models to evaluate the state of the ocean from different perspectives.Hide
11 Mar 2020 Year-long, broad-band, microwave backscatter observations of an Alpine Meadow over the Tibetan Plateau with a ground-basedscatterometer
Jan G. Hofste, Rogier van der Velde, Jun Wen, Xin Wang, Zuoliang Wang, Donghai Zheng, Christiaan van der Tol, and Zhongbo Su Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-44,https://doi.org/10.5194/essd-2020-44,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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The dataset reported in this paper concerns the measurement of microwave reflections from an alpine meadow over the Tibetan Plateau. These microwave reflections where measured continuously over one year. With it, variations in soil water content due to evaporation, precipitation, drainage and soil freezing/thawing can be seen. A better understanding of the effects aforementioned processes have on microwave reflections may improve methods for estimating soil water content used by satellites.Hide
10 Mar 2020 P3 – PetroPhysical Property Database – a global compilation of lab measured rock properties Kristian Bär, Thomas Reinsch, and Judith Bott Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-15,https://doi.org/10.5194/essd-2020-15,2020
Preprint under review for ESSD (discussion: open, 2 comments) Shortsummary
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Petrophysical properties are key to populate numerical models of subsurface process simulations and for the interpretation of many geophysical exploration methods. The P3 database presented here aims at providing easily accessible, peer-reviewed information on physical rock properties in one single compilation. The uniqueness of P3 emerges from its coverage & metadata structure. Each measured value is complemented by the corresponding location, petrography, stratigraphy and original reference.Hide
06 Mar 2020 Early Soviet satellite magnetic field measurements in theyears 1964 and 1970
Roman Krasnoperov, Dmitry Peregoudov, Renata Lukianova, Anatoly Soloviev, and Boris Dzeboev Earth Syst. Sci. Data, 12, 555–561, https://doi.org/10.5194/essd-12-555-2020,https://doi.org/10.5194/essd-12-555-2020,2020 Short summary
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The paper presents a collection of magnetic field measurements performed by early Soviet magnetic satellite missions Kosmos-49 (1964) and Kosmos-321 (1970). These data were used as initial data for analysis of the structure of the Earth’s magnetic field sources and for compilation of a series of its analytical models. The most notable model that employed Kosmos-49 data was the first generation of the International Geomagnetic Reference Field for epoch 1965.0.Hide
05 Mar 2020 Geometric accuracy assessment of coarse-resolution satellite datasets: a study based on AVHRR GAC data at the sub-pixellevel
Xiaodan Wu, Kathrin Naegeli, and Stefan Wunderle Earth Syst. Sci. Data, 12, 539–553, https://doi.org/10.5194/essd-12-539-2020,https://doi.org/10.5194/essd-12-539-2020,2020 Short summary
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Based on the idea of the co-registration method, this study proposes a method named correlation-based patch matching method (CPMM), which is capable of quantifying the geometric accuracy of coarse-resolution satellite data. The assessment is conducted at the sub-pixel level and not affected by the mixed-pixel problem. It is not limited to a certain landmark such as a lake or sea shoreline and thus enables a more comprehensive assessment.Hide
05 Mar 2020 First automatic pH measurements in the bottom layer of the Ria de Vigo (NW Spain) Juan L. Herrera, Jose González, Fiz F. Pérez, Gabriel Rosón, andRamiro A. Varela
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-45,https://doi.org/10.5194/essd-2020-45,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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Oceanic Acidification (OA) is a big concern linked to climate change. Project A.RIOS is creating a network to monitor OA at the Galician coast (NW Spain). Between 2017 and May 2019, we moored a pH recording device four times at the Ría de Vigo. We present the pH data collected along with other seawater variables. All the data is available at PANGEA (https://doi.pangaea.de/10.1594/PANGAEA.909933). We think that this data improves the Ría pH database by much.Hide
04 Mar 2020 The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southernItaly)
Tony Alfredo Stabile, Vincenzo Serlenga, Claudio Satriano, Marco Romanelli, Erwan Gueguen, Maria Rosaria Gallipoli, Ermann Ripepi, Jean-Marie Saurel, Serena Panebianco, Jessica Bellanova, and EnricoPriolo
Earth Syst. Sci. Data, 12, 519–538, https://doi.org/10.5194/essd-12-519-2020,https://doi.org/10.5194/essd-12-519-2020,2020 Short summary
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This paper presents data collected by a seismic network developed in the framework of the INSIEME project aimed to study induced seismicity processes. The network is composed of eight stations deployed around two clusters of induced microearthquakes in the High Agri Valley (southern Italy). The solutions for reducing the background noise level are presented and the quality of acquired data is discussed. Such open-access data can be used by the scientific community for different applications.Hide
03 Mar 2020 A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces Axel Schaffitel, Tobias Schuetz, and Markus Weiler Earth Syst. Sci. Data, 12, 501–517, https://doi.org/10.5194/essd-12-501-2020,https://doi.org/10.5194/essd-12-501-2020,2020 Short summary
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This paper contains detailed information about the instrumentation of permeable pavements with soil moisture sensors and the performance of infiltration experiments on these surfaces. The collected data are beneficial for studying urban water and energy cycles. They contain valuable information about the hydrological behavior of permeable pavements and urban subsurface heat anomalies. Due to the lack of similar data, we are convinced that the dataset is of great scientificvalue.
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03 Mar 2020 Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines),1884–1963
Vincenzo Capozzi, Yuri Cotroneo, Pasquale Castagno, Carmela De Vivo, and Giorgio Budillon Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-38,https://doi.org/10.5194/essd-2020-38,2020
Preprint under review for ESSD (discussion: open, 1 comment) 03 Mar 2020 The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere Christopher J. Smith, Ryan J. Kramer, and Adriana Sima Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-254,https://doi.org/10.5194/essd-2019-254,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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Radiative kernels allow efficient diagnosis of climate feedbacks and radiative adjustments to an external forcing using standard climate model output. We present a radiative kernel derived from the UK Met Office's HadGEM3-GA7.1 climate model. We show that a highly resolved stratosphere is important for correctly diagnosing the stratospheric temperature adjustment to greenhouse gas forcings, and by extension, the instantaneous radiative forcing.Hide
03 Mar 2020 A comparison of estimates of global carbon dioxide emissions from fossil carbon sourcesRobbie M. Andrew
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-34,https://doi.org/10.5194/essd-2020-34,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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There are now several global datasets with estimates of global CO2 emissions from fossil sources, but the totals from these differ. Sometimes the range of these estimates has been used to indicate uncertainty in global emissions. In this paper I discuss the reasons why these datasets differ, particularly their different system boundaries: which emissions sources are included and which are omitted. Analysis is both qualitative and quantitative.Hide
02 Mar 2020 Retrospect and prospect of a section-based stratigraphic and palaeontological database – Geobiodiversity Database Hong-He Xu, Zhi-Bin Niu, and Yan-Sen Chen Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-40,https://doi.org/10.5194/essd-2020-40,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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We present the Geobiodiversity database (GBDB), a comprehensive stratigraphic and palaeontological database. It includes abundant geological records and contributes research on early Palaeozoic palaeogeography, tectonic and biodiversity evolution of China. Besides data collecting, processing and visualization, the team pays more attention to data analyzing with Artificial Intelligence. GBDB is to push forward the quantitative research of palaeontology and stratigraphy in the era of big data.Hide
28 Feb 2020 Global certified-reference-material- or reference-material-scaled nutrient gridded dataset GND13Michio Aoyama
Earth Syst. Sci. Data, 12, 487–499, https://doi.org/10.5194/essd-12-487-2020,https://doi.org/10.5194/essd-12-487-2020,2020 Short summary
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A global nutrient gridded dataset that might be the basis for studies of more accurate spatial distributions of nutrients and their changes in the global ocean was created. This is an SI-traceable dataset of nitrate, phosphate, and silicate concentrations based on certified reference materials or reference materials (CRMs/RMs) of seawater nutrient concentration measurements used during many cruises by theauthor.
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28 Feb 2020 Compilation of pollen productivity estimates and a taxonomically harmonised PPE dataset from Northern Hemisphereextratropics
Mareike Wieczorek and Ulrike Herzschuh Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-242,https://doi.org/10.5194/essd-2019-242,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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Pollen Productivity Estimates (PPE) are used to calculate vegetation cover from pollen records. This study provides (i) a compilation of northern hemispheric PPE-studies, allowing researchers to identify the best set for their study region and to identify data-gaps for future research, and (ii) a taxonomically harmonized, unified PPE-set, generated from the available studies, to be applied to broad scalepollen records.
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27 Feb 2020 TephraKam: geochemical database of glass compositions in tephra and welded tuffs from the Kamchatka volcanic arc (northwesternPacific)
Maxim V. Portnyagin, Vera V. Ponomareva, Egor A. Zelenin, Lilia I. Bazanova, Maria M. Pevzner, Anastasia A. Plechova, Aleksei N. Rogozin, and Dieter Garbe-Schönberg Earth Syst. Sci. Data, 12, 469–486, https://doi.org/10.5194/essd-12-469-2020,https://doi.org/10.5194/essd-12-469-2020,2020 Short summary
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Tephra is fragmented material produced by explosive volcanic eruptions. Geochemically characterized tephra layers are excellent time marker horizons and samples of magma composition. TephraKam is database of the ages and chemical composition of volcanic glass in tephra from the Kamchatka volcanic arc (northwestern Pacific). TephraKam enables the identification of tephra sources, correlation and dating of natural archives, and reconstruction of spatiotemporal evolution of volcanism in Kamchatka.Hide
26 Feb 2020 PROTEVS-MED field experiments: very high resolution hydrographic surveys in the Western Mediterranean Sea Pierre Garreau, Franck Dumas, Stéphanie Louazel, Stéphanie Correard, Solenn Fercocq, Marc Le Menn, Alain Serpette, Valérie Garnier, Alexandre Stegner, Briac Le Vu, Andrea Doglioli, and Gerald Gregori Earth Syst. Sci. Data, 12, 441–456, https://doi.org/10.5194/essd-12-441-2020,https://doi.org/10.5194/essd-12-441-2020,2020 Short summary
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The oceanic circulation is composed of the main currents, of large eddies and meanders, and of fine motions at a scale of about a few hundreds of metres, rarely observed in situ. PROTEVS-MED experiments were devoted to very high resolution observations of water properties (temperature and salinity) and currents, thanks to an undulating trawled vehicle revealing a patchy, stirred and energetic ocean in the first 400 m depth. These fine-scale dynamics drive the plankton and air–sea exchanges.Hide
26 Feb 2020 CHLSOC: the Chilean Soil Organic Carbon database, a multi-institutional collaborative effort Marco Pfeiffer, José Padarian, Rodrigo Osorio, Nelson Bustamante, Guillermo Federico Olmedo, Mario Guevara, Felipe Aburto, Francisco Albornoz, Monica Antilén, Elías Araya, Eduardo Arellano, Maialen Barret, Juan Barrera, Pascal Boeckx, Margarita Briceño, Sally Bunning, Lea Cabrol, Manuel Casanova, Pablo Cornejo, Fabio Corradini, Gustavo Curaqueo, Sebastian Doetterl, Paola Duran, Mauricio Escudey, Angelina Espinoza, Samuel Francke, Juan Pablo Fuentes, Marcel Fuentes, Gonzalo Gajardo, Rafael García, Audrey Gallaud, Mauricio Galleguillos, Andrés Gomez, Marcela Hidalgo, Jorge Ivelic-Sáez, Lwando Mashalaba, Francisco Matus, Francisco Meza, Maria de la Luz Mora, Jorge Mora, Cristina Muñoz, Pablo Norambuena, Carolina Olivera, Carlos Ovalle, Marcelo Panichini, Aníbal Pauchard, Jorge F. Pérez-Quezada, Sergio Radic, José Ramirez, Nicolás Riveras, Germán Ruiz, Osvaldo Salazar, Iván Salgado, Oscar Seguel, Maria Sepúlveda, Carlos Sierra, Yasna Tapia, Francisco Tapia, Balfredo Toledo, José Miguel Torrico, Susana Valle, Ronald Vargas, Michael Wolff, and ErickZagal
Earth Syst. Sci. Data, 12, 457–468, https://doi.org/10.5194/essd-12-457-2020,https://doi.org/10.5194/essd-12-457-2020,2020 Short summary
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The CHLSOC database is the biggest soil organic carbon (SOC) database that has been compiled for Chile yet, comprising 13 612 data points. This database is the product of the compilation of numerous sources including unpublished and difficult-to-access data, allowing us to fill numerous spatial gaps where no SOC estimates were publicly available before. The values of SOC compiled in CHLSOC have a wide range, reflecting the variety of ecosystems that exists in Chile.Hide
26 Feb 2020 A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada Sebastien Donnet, Pascal Lazure, Andry Ratsimandresy, and Guoqi Han Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-43,https://doi.org/10.5194/essd-2020-43,2020
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Fortune Bay (Canada) is a large fjord-like embayment which host important aquaculture (salmon) industries, lobster fisheries and wild salmon run. To better understand the ecological pressure of human-related activities an important oceanographic program was undertaken to provide basic knowledge of the physical environment. The program run for two consecutive years and successfully obtained data on water temperature, salinity, oxygen, ocean currents, tides and meterological forcing (e.g. wind).Hide
24 Feb 2020 A high-resolution reanalysis of global fire weather from 1979 to 2018 – Overwintering the Drought Code Megan McElhinny, Justin F. Beckers, Chelene Hanes, Mike Flannigan, andPiyush Jain
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-248,https://doi.org/10.5194/essd-2019-248,2020
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The Canadian Fire Weather Index uses temperature, relative humidity, wind speed and rainfall to provide a fire danger rating that is crucial for fire managers and communities for risk assessment. We provide a global calculation of this index and other relevant indices using high-resolution modelled weather data for 1979–2018. This data will be useful for research studies aiming to quantify the relationships between fire occurrence, growth or severity with weather or for trend analysis studies.Hide
24 Feb 2020 Global distribution of photosynthetically available radiation on the seafloor Jean-Pierre Gattuso, Bernard Gentili, David Antoine, and David Doxaran Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-33,https://doi.org/10.5194/essd-2020-33,2020
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Light is a key ocean variable shaping the composition of benthic and pelagic communities by controlling the three-dimensional distribution of primary producers. It also plays a major role in the global carbon cycle. We provide a continuous monthly data set of the global distribution of light reaching the seabed. It is 4 times longer (21 vs. 5 years) than the previous data set, the spatial resolution is better (4.6 vs. 9.3 km) and the bathymetric resolution is also better (0.46 vs. 3.7 km).Hide
24 Feb 2020 The Eurasian Modern Pollen Database (EMPD), Version 2 Basil A. S. Davis, Manuel Chevalier, Philipp Sommer, Vachel A. Carter, Walter Finsinger, Achille Mauri, Leanne N. Phelps, Marco Zanon, Roman Abegglen, Christine M. Åkesson, Francisca Alba-Sánchez, R. Scott Anderson, Tatiana G. Antipina, Juliana R. Atanassova, Ruth Beer, Nina I. Belyanina, Tatiana A. Blyakharchuk, Olga K. Borisova, Elissaveta Bozilova, Galina Bukreeva, M. Jane Bunting, Eleonora Clò, Daniele Colombaroli, Nathalie Combourieu-Nebout, Stéphanie Desprat, Federico Di Rita, Morteza Djamali, Kevin J. Edwards, Patricia L. Fall, Angelica Feurdean, William Fletcher, Assunta Florenzano, Giulia Furlanetto, Emna Gaceur, Arsenii T. Galimov, Mariusz Gałka, Iria García-Moreiras, Thomas Giesecke, Roxana Grindean, Maria A. Guido, Irina G. Gvozdeva, Ulrike Herzschuh, Kari L. Hjelle, Sergey Ivanov, Susanne Jahns, Vlasta Jankovska, Gonzalo Jiménez-Moreno, Monika Karpińska-Kołaczek, Ikuko Kitaba, Piotr Kołaczek, Elena G. Lapteva, Małgorzata Latałowa, Vincent Lebreton, Suzanne Leroy, Michelle Leydet, Darya A. Lopatina, José Antonio López-Sáez, André F. Lotter, Donatella Magri, Elena Marinova, Isabelle Matthias, Anastasia Mavridou, Anna Maria Mercuri, Jose Manuel Mesa-Fernández, Yuri A. Mikishin, Krystyna Milecka, Carlo Montanari, César Morales-Molino, Almut Mrotzek, Castor Muñoz Sobrino, Olga D. Naidina, Takeshi Nakagawa, Anne Birgitte Nielsen, Elena Y. Novenko, Sampson Panajiotidis, Nata K. Panova, Maria Papadopoulou, Heather S. Pardoe, Anna Pędziszewska, Tatiana I. Petrenko, María J. Ramos-Román, Cesare Ravazzi, Manfred Rösch, Natalia Ryabogina, Silvia Sabariego Ruiz, J. Sakari Salonen, Tatyana V. Sapelko, James E. Schofield, Heikki Seppä, Lyudmila Shumilovskikh, Normunds Stivrins, Philipp Stojakowits, Helena Svobodova Svitavska, Joanna Święta-Musznicka, Ioan Tantau, Willy Tinner, Kazimierz Tobolski, Spassimir Tonkov, Margarita Tsakiridou, Verushka Valsecchi, Oksana G. Zanina, andMarcelina Zimny
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-14,https://doi.org/10.5194/essd-2020-14,2020
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The Eurasian Modern Pollen Database (EMPD) contains pollen counts and associated metadata for 8134 modern pollen samples from across the Eurasian region. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives. The purpose of the EMPD is to provide calibration datasets and other data to support palaeoecological research on past climates and vegetation cover over the Quaternary period.Hide
21 Feb 2020 A Multiscale Spatial Dataset for Policy-Driven Land Developability across the United States, 2001–2011 Hung Chak Ho and Guangqing Chi Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-3,https://doi.org/10.5194/essd-2020-3,2020
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We presented a land developability index that captures the spatiotemporal changes of land vulnerability and development, which is restricted by land policy and geophysical limits. The land developability mapping is implemented to estimate land information across the contiguous United States in 2001, 2006, and 2011. Multiscale data products for state-, county- and census-tract-levels are provided. This approach can be extended to other countries with modifications for their specific scenarios.Hide
20 Feb 2020 Earth transformed: detailed mapping of global human modification from 1990 to 2017 David M. Theobald, Christina Kennedy, Bin Chen, James Oakleaf, Sharon Baruch-Mordo, and Joe Kiesecker Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-252,https://doi.org/10.5194/essd-2019-252,2020
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We developed a global, high-resolution dataset and quantified recent rates of land transformation and current patterns of human modification for 2017, globally. Briefly, we found that increased human activities and land use modification have caused 1.6 million km2 of natural land to be lost between 1990 and 2015 and found the rate of loss has increased over that time. While troubling, we believe these findings invaluable to underpin global and national discussions of priorities for conservation.Hide
19 Feb 2020 Isoscape of precipitation amount-weighted annual mean tritium (3H) activity from 1976 to 2017 for the Adriatic-Pannonianregion
Zoltán Kern, István Gábor Hatvani, Dániel Erdélyi, Polona Vreča, Ines Krajcar Bronić, Tjaša Kanduč, Marko Štrok, István Fórizs, László Palcsu, György Czuppon, and Balázs Kohán Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-244,https://doi.org/10.5194/essd-2019-244,2020
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Here we present the spatially continuous gridded database for amount-weighted annual mean tritium activity in precipitation for the period 1976 to 2017 for the Adriatic-Pannonian Region, with a special focus on the years after 2010 which are not represented by existing global models. This Regional model is capable of providing reliable spatiotemporal input data for hydrogeological applications at any place within Slovenia, Hungary and its surroundings.Hide
18 Feb 2020 Glaciers and climate of the Upper Susitna basin, Alaska Andrew Bliss, Regine Hock, Gabriel Wolken, Erin Whorton, Caroline Aubry-Wake, Juliana Braun, Alessio Gusmeroli, Will Harrison, Andrew Hoffman, Anna Liljedahl, and Jing Zhang Earth Syst. Sci. Data, 12, 403–427, https://doi.org/10.5194/essd-12-403-2020,https://doi.org/10.5194/essd-12-403-2020,2020 Short summary
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Extensive field observations were conducted in the Upper Susitna basin in central Alaska in 2012–2014. This paper describes the weather, glacier mass balance, snow cover, and soils of the basin. We found that temperatures over the glacier are cooler than over land at the same elevation. The glaciers have been losing mass faster in recent years than in the 1980s. Measurements of glacier mass change with traditional methods closely matched radar measurements.Hide
18 Feb 2020 The Tall Tower Dataset: a unique initiative to boost windenergy research
Jaume Ramon, Llorenç Lledó, Núria Pérez-Zanón, Albert Soret, and Francisco J. Doblas-Reyes Earth Syst. Sci. Data, 12, 429–439, https://doi.org/10.5194/essd-12-429-2020,https://doi.org/10.5194/essd-12-429-2020,2020 Short summary
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A dataset containing quality-controlled wind observations from 222 tall towers has been created. Wind speed and wind direction records have been collected from existing tall towers in an effort to boost the utilization of these non-standard atmospheric datasets. Observations are compiled in a unique collection with a common format, access, documentation and quality control (QC). For the latter, a total of 18 QC checks have been considered to ensure the high qualityof the wind data.
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18 Feb 2020 Measurements of Hydrodynamics, Sediment, Morphology and Benthos on Ameland Ebb-Tidal Delta and Lower Shoreface Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Ad J. H. M. Reniers, Zeng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-13,https://doi.org/10.5194/essd-2020-13,2020
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To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bedwere measured.
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17 Feb 2020 A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States Xuecao Li, Yuyu Zhou, Zhengyuan Zhu, and Wenting Cao Earth Syst. Sci. Data, 12, 357–371, https://doi.org/10.5194/essd-12-357-2020,https://doi.org/10.5194/essd-12-357-2020,2020 Short summary
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The information of urban dynamics with fine spatial and temporal resolutions is highly needed in urban studies. In this study, we generated a long-term (1985–2015), fine-resolution (30 m) product of annual urban extent dynamics in the conterminous United States using all available Landsat images on the Google Earth Engine (GEE) platform. The data product is of great use for relevant studies such as urban growth projection, urban sprawl modeling, and urbanization impacts on environments.Hide
17 Feb 2020 A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China Chao Gao, Buda Su, Valentina Krysanova, Qianyu Zha, Cai Chen, Gang Luo, Xiaofan Zeng, Jinlong Huang, Ming Xiong, Liping Zhang, and TongJiang
Earth Syst. Sci. Data, 12, 387–402, https://doi.org/10.5194/essd-12-387-2020,https://doi.org/10.5194/essd-12-387-2020,2020 Short summary
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The study produced the daily discharge time series for the upper Yangtze River basin (Cuntan hydrological station) in the period 1861–2299 under scenarios with and without anthropogenic climate change. The daily discharge was simulated by using four hydrological models (HBV, SWAT, SWIM and VIC) driven by multiple GCM outputs. This dataset could be compared to assess changes in river discharge in the upper Yangtze River basin attributable to anthropogenic climatechange.
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17 Feb 2020 Reconstructing three decades of total international trawling effort in the North Sea Elena Couce, Michaela Schratzberger, and Georg H. Engelhard Earth Syst. Sci. Data, 12, 373–386, https://doi.org/10.5194/essd-12-373-2020,https://doi.org/10.5194/essd-12-373-2020,2020 Short summary
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Fishing – especially trawling – is one of the most ubiquitous anthropogenic pressures on marine ecosystems, yet very few long-term, spatially explicit datasets on trawling effort exist, greatly hampering our understanding of its medium- to long-term impacts. Here we provide a dataset on the spatial distribution of total international otter and beam trawling effort in the North Sea, for the period 1985–2015, reconstructed using compiled effort datasets with data gaps filled by estimations.Hide
13 Feb 2020 An improved Terra–Aqua MODIS snow cover and Randolph Glacier Inventory 6.0 combined product (MOYDGL06*) for high-mountain Asia between 2002 and 2018 Sher Muhammad and Amrit Thapa Earth Syst. Sci. Data, 12, 345–356, https://doi.org/10.5194/essd-12-345-2020,https://doi.org/10.5194/essd-12-345-2020,2020 Short summary
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Snow is the major water resource in high-mountain Asia; therefore, it is crucial to continuously monitor it. Currently, remote sensing, mainly MODIS, is used for snow monitoring. However, the available MODIS snow product is not useful for various applications without postprocessing and improvement. This study reduces uncertainty in the MODIS snow data. We found approximately 50% underestimation and overestimation of snow cover by MODIS Terra–Aqua products, which were improved in this study.Hide
13 Feb 2020 Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy) Fabio Matano, Mauro Caccavale, Giuseppe Esposito, Alberto Fortelli, Germana Scepi, Maria Spano, and Marco Sacchi Earth Syst. Sci. Data, 12, 321–344, https://doi.org/10.5194/essd-12-321-2020,https://doi.org/10.5194/essd-12-321-2020,2020 Short summary
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Along the coastline of the Phlegraean Fields, Naples, Italy, severe retreat processes affect the tuff coastal cliffs, causing hazardous slope failures. An integrated monitoring system coupled with a weather station has been active since 2014. The measurements allowed us to assess the magnitude and temporal pattern of rock block deformations before failure and their correlation with meteorological parameters. A close correlation between temperature and deformation trends has beenrecognized.
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11 Feb 2020 A cultivated planet in 2010: 1. the global synergycropland map
Miao Lu, Wenbin Wu, Liangzhi You, Linda See, Steffen Fritz, Qiangyi Yu, Yanbing Wei, Di Chen, Peng Yang, and Bing Xue Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-12,https://doi.org/10.5194/essd-2020-12,2020
Preprint under review for ESSD (discussion: open, 2 comments) 10 Feb 2020 A dataset of tracer concentrations and meteorological observations from the Bolzano Tracer EXperiment (BTEX) to characterize pollutant dispersion processes in an Alpine valley Marco Falocchi, Werner Tirler, Lorenzo Giovannini, Elena Tomasi, Gianluca Antonacci, and Dino Zardi Earth Syst. Sci. Data, 12, 277–291, https://doi.org/10.5194/essd-12-277-2020,https://doi.org/10.5194/essd-12-277-2020,2020 Short summary
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This paper describes a dataset of tracer concentrations and meteorological measurements collected during the Bolzano Tracer EXperiment (BTEX) to evaluate the pollutant dispersion from a waste incinerator close to Bolzano (Italian Alps). BTEX represents one of the few experiments available in the literature performed over complex mountainous terrain to evaluate dispersion processes by means of controlled tracer releases. This dataset represents a useful benchmark for testing dispersion models.Hide
10 Feb 2020 A spatially explicit database of wind disturbances in European forests over the period 2000–2018 Giovanni Forzieri, Matteo Pecchi, Marco Girardello, Achille Mauri, Marcus Klaus, Christo Nikolov, Marius Rüetschi, Barry Gardiner, Julián Tomaštík, David Small, Constantin Nistor, Donatas Jonikavicius, Jonathan Spinoni, Luc Feyen, Francesca Giannetti, Rinaldo Comino, Alessandro Wolynski, Francesco Pirotti, Fabio Maistrelli, Ionut Savulescu, Stéphanie Wurpillot-Lucas, Stefan Karlsson, Karolina Zieba-Kulawik, Paulina Strejczek-Jazwinska, Martin Mokroš, Stefan Franz, Lukas Krejci, Ionel Haidu, Mats Nilsson, Piotr Wezyk, Filippo Catani, Yi-Ying Chen, Sebastiaan Luyssaert, Gherardo Chirici, Alessandro Cescatti, and Pieter S. A. Beck Earth Syst. Sci. Data, 12, 257–276, https://doi.org/10.5194/essd-12-257-2020,https://doi.org/10.5194/essd-12-257-2020,2020 Short summary
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Strong winds may uproot and break trees and represent a risk for forests. Despite the importance of this natural disturbance and possible intensification in view of climate change, spatial information about wind-related impacts is currently missing on a pan-European scale. We present a new database of wind disturbances in European forests comprised of more than 80 000 records over the period 2000–2018. Our database is a unique spatial source for the study of forest disturbances at large scales.Hide
10 Feb 2020 Multi-scale data on intertidal macrobenthic biodiversity and environmental features in three New Zealand harbours Casper Kraan, Barry L. Greenfield, and Simon F. Thrush Earth Syst. Sci. Data, 12, 293–297, https://doi.org/10.5194/essd-12-293-2020,https://doi.org/10.5194/essd-12-293-2020,2020 Short summary
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Understanding how the plants and animals that live in the sea floor vary in their spatial patterns of diversity and abundance is fundamental to gaining insight into the role of biodiversity in maintaining ecosystem functioning in coastal ecosystems. Yet data are lacking. Therefore, we collected multi-scale high-resolution data on macrobenthic biodiversity in New Zealand marine sandflats. For 1200 sampling locations we provide data on benthic biodiversity and associated environmental variables.Hide
10 Feb 2020 Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019) Niels H. Batjes, Eloi Ribeiro, and Ad van Oostrum Earth Syst. Sci. Data, 12, 299–320, https://doi.org/10.5194/essd-12-299-2020,https://doi.org/10.5194/essd-12-299-2020,2020 Short summary
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This dataset provides quality-assessed and standardised soil data to support digital soil mapping and environmental applications at broadscale levels. The underpinning soil profiles were shared by a wide range of data providers. Special attention was paid to the standardisation of soil property definitions, analytical method descriptions and property values. We present measures for geographic accuracy and a first approximation for the uncertainty associated with the various analytical methods.Hide
10 Feb 2020 A new dataset of soil Carbon and Nitrogen stocks and profiles from an instrumented Greenlandic fen designed to evaluateland-surface models
Xavier Morel, Birger Ulf Hansen, Christine Delire, Per Lennart Ambus, Mikhail Mastepanov, and Bertrand Decharme Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-225,https://doi.org/10.5194/essd-2019-225,2020
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Nuuk-fen site is a well-instrumented greenlandic site where soil physical variables and greenhouse gas fluxes are monitored. But knowledge of soil carbon stocks and profiles is missing. This is a crucial shortcoming for a complete evaluation of models. We measured for the first time soil carbon and nitrogen density, profiles and stocks in the Nuuk peatland. This new dataset can contribute to further develop joint modelisation of greenhouse gas emissions and soil carbon in land-surface models.Hide
10 Feb 2020 AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating GPM IMERG at daily scale using APHRODITE Ziqiang Ma, Jintao Xu, Siyu Zhu, Guoqiang Tang, Yuanjian Yang, ZhouShi, and Yang Hong
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-250,https://doi.org/10.5194/essd-2019-250,2020
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Focusing on the potential drawbacks in generating the state-of-the-art IMERG data in both TRMM and GPM era, a new daily calibration algorithm on IMERG was proposed, as well as a new AIMERG precipitation dataset (0.1°/ half-hourly, 2000–2015, Asia) with better quality than IMERG for the Asian scientific research and applications. The proposed daily calibration algorithm for GPM is promising and applicable in generating the future IMERG in either operational scheme or retrospective manner.Hide
10 Feb 2020 Remote sensing of lake water volumes on the Arctic Coastal Plain of Northern Alaska Claire E. Simpson, Christopher D. Arp, Yongwei Sheng, Mark L. Carroll, Benjamin M. Jones, and Laurence C. Smith Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-226,https://doi.org/10.5194/essd-2019-226,2020
Preprint under review for ESSD (discussion: open, 1 comment) Shortsummary
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Sonar depth point measurements collected at 17 lakes on the Arctic Coastal Plain of Alaska are used to train and validate models to map lake bathymetry. These models predict depth from remotely sensed lake color and are able to explain 58.5–97.6 % of depth variability. To calculate water volumes, we integrate this modeled bathymetry with lake surface area. Knowledge of Alaskan lake bathymetries and volumes is crucial to better understanding water storage, energy balance andecological habitat.
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07 Feb 2020 A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain) Beatriz P. Cazorla, Javier Cabello, Andrés Reyes, Emilio Guirado, Julio Peñas, Antonio J. Pérez-Luque, and Domingo Alcaraz-Segura Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-198,https://doi.org/10.5194/essd-2019-198,2020
Preprint under review for ESSD (discussion: open, 2 comments) Shortsummary
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Our dataset characterizes the spatial patterns and temporal dynamics of ecosystem functioning and functional diversity in Sierra Nevada (Spain) from time-series of satellite images of vegetation greenness from 2001 to 2018. The dataset brings to scientists, managers and citizens the first characterization of the functional diversity at ecosystem level developed in a Mediterranean biodiversity hotspot, useful to improve the understanding, monitoring and management of ecosystem processes.Hide
06 Feb 2020 Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany Fabian Ries, Lara Kirn, and Markus Weiler Earth Syst. Sci. Data, 12, 245–255, https://doi.org/10.5194/essd-12-245-2020,https://doi.org/10.5194/essd-12-245-2020,2020 Short summary
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Pluvial or flash floods generated by heavy precipitation events cause large economic damage and loss of life worldwide. As discharge observations from such extreme occurrences are rare, data from artificial sprinkling experiments offer valuable information on runoff generation processes, overland and subsurface flow rates, and response times. A extensive data set from 132 large-scale sprinkling experiments in Germany is described and presented in this paper.Hide
06 Feb 2020 The Sea State CCI dataset v1: towards a Sea State Climate Data Record based on satellite observations Guillaume Dodet, Jean-François Piolle, Yves Quilfen, Saleh Abdalla, Mickaël Accensi, Fabrice Ardhuin, Ellis Ash, Jean-Raymond Bidlot, Christine Gommenginger, Gwendal Marechal, Marcello Passaro, Graham Quartly, Justin Stopa, Ben Timmermans, Ian Young, Paolo Cipollini, andCraig Donlon
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-253,https://doi.org/10.5194/essd-2019-253,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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Sea state data are of major importance for climate studies, marine engineering, safety at sea, and coastal management. However, long-term sea state datasets are sparse and not always consistent. The CCI is a program of the European Space Agency, whose objective is to realize the full potential of global Earth Observation archives in order to contribute to the ECV database. This paper presents the implementation of the first release of the Sea State CCI dataset.Hide
06 Feb 2020 Global database of oceanic particulate organic carbon to 234Th ratios: Improving estimates of the biological carbon pump Viena Puigcorbé, Pere Masqué, and Fréderic A. C. Le Moigne Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-10,https://doi.org/10.5194/essd-2020-10,2020
Preprint under review for ESSD (discussion: open, 2 comments) Shortsummary
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The biological carbon pump is a mechanism by which the oceans capture atmospheric carbon dioxide thanks to microscopic marine algae. Quantifying its strength and efficiency is crucial to understand the global carbon budget and be able to forecast its trends. The radioactive pair 234Th:238U has been extensively used for that purpose. This is a global compilation of carbon to 234Th ratios (needed to convert the 234Th fluxes to carbon fluxes) that will contribute to improve our modelling efforts.Hide
05 Feb 2020 Paleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western Canada Andrew R. Slaughter and Saman Razavi Earth Syst. Sci. Data, 12, 231–243, https://doi.org/10.5194/essd-12-231-2020,https://doi.org/10.5194/essd-12-231-2020,2020 Short summary
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Water management faces the challenge of non-stationarity in future flows. To extend flow datasets beyond the gauging data, this study presents a method of generating an ensemble of weekly flows from tree-ring reconstructed flows to represent uncertainty that can overcome certain long-standing data challenges with paleo-reconstruction. An ensemble of 500 flow time series were generated for the four sub-basins of the Saskatchewan River basin, Canada, for the period 1600–2001.Hide
05 Feb 2020 The Iso2k Database: A global compilation of paleo-δ18O and δ2H records to aid understanding of Common Era climate Bronwen L. Konecky, Nicholas P. McKay, Olga V. Churakova (Sidorova), Laia Comas-Bru, Emilie P. Dassié, Kristine L. DeLong, Georgina M. Falster, Matt J. Fischer, Matthew D. Jones, Lukas Jonkers, Darrell S. Kaufman, Guillaume Leduc, Shreyas R. Managave, Belen Martrat, Thomas Opel, Anais J. Orsi, Judson W. Partin, Hussein R. Sayani, Elizabeth K. Thomas, Diane M. Thompson, Jonathan J. Tyler, Nerilie J. Abram, Alyssa R. Atwood, Jessica L. Conroy, Zoltán Kern, Trevor J. Porter, Samantha L. Stevenson, Lucien von Gunten, and the Iso2k Project Members Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-5,https://doi.org/10.5194/essd-2020-5,2020
Preprint under review for ESSD (discussion: open, 2 comments) 04 Feb 2020 A long-term (1965–2015) ecological marine database from the LTER-Italy Northern Adriatic Sea site: plankton and oceanographicobservations
Francesco Acri, Mauro Bastianini, Fabrizio Bernardi Aubry, Elisa Camatti, Alfredo Boldrin, Caterina Bergami, Daniele Cassin, Amelia De Lazzari, Stefania Finotto, Annalisa Minelli, Alessandro Oggioni, Marco Pansera, Alessandro Sarretta, Giorgio Socal, and Alessandra Pugnetti Earth Syst. Sci. Data, 12, 215–230, https://doi.org/10.5194/essd-12-215-2020,https://doi.org/10.5194/essd-12-215-2020,2020 Short summary
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The present paper describes a database containing observations for 21 parameters of abiotic, phytoplankton, and zooplankton data collected in the northern Adriatic Sea region (Italy) from 1965 to 2015. Due to the long temporal coverage, the majority of parameters changed collection and analysis method over time. These variations are reported in the database and detailed in the paper.Hide
04 Feb 2020 Quality assurance and control on hydrological data off western Sardinia (2000–2004), western Mediterranean Alberto Ribotti, Roberto Sorgente, and Mireno Borghini Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-17,https://doi.org/10.5194/essd-2020-17,2020
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From May 2000 to January 2004 seven cruises in the Sardinia Sea collected physical, chemical and biological data. They contributed to the knowledge of the local circulation and its interaction with the general Mediterranean one. Accurate and sustained quality assurances on physical sensors was acted and here described, through prior/post-cruise calibration and verified during cruises by redundant sensors and instruments. Hydrological data are in two open access datasets in the SEANOE repository.Hide
31 Jan 2020 ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products Yuchuan Luo, Zhao Zhang, Yi Chen, Ziyue Li, and Fulu Tao Earth Syst. Sci. Data, 12, 197–214, https://doi.org/10.5194/essd-12-197-2020,https://doi.org/10.5194/essd-12-197-2020,2020 Short summary
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For the first time, we generated a 1 km gridded-phenology product for three staple crops in China during 2000–2015, called ChinaCropPhen1km. Compared with the phenological observations from the agricultural meteorological stations, the dataset had high accuracy, with errors of retrieved phenological date of less than 10 d. The well-validated dataset is sufficiently reliable for many applications, including improving the agricultural-system or earth-system modelingover a large area.
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30 Jan 2020 The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA) Leander Moesinger, Wouter Dorigo, Richard de Jeu, Robin van der Schalie, Tracy Scanlon, Irene Teubner, and Matthias Forkel Earth Syst. Sci. Data, 12, 177–196, https://doi.org/10.5194/essd-12-177-2020,https://doi.org/10.5194/essd-12-177-2020,2020 Short summary
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Vegetation optical depth (VOD) is measured by satellites and is related to the density of vegetation and its water content. VOD has a wide range of uses, including drought, wildfire danger, biomass, and carbon stock monitoring. For the past 30 years there have been various VOD data sets derived from space-borne microwave sensors, but biases between them prohibit a combined use. We removed these biases and merged the data to create the global long-term VOD Climate Archive(VODCA).
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29 Jan 2020 A global mean sea-surface temperature dataset for the Last Interglacial (129–116 kyr) and contribution of thermal expansion to sea-level change Chris S. M. Turney, Richard Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J.Fogwill
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-249,https://doi.org/10.5194/essd-2019-249,2020
Preprint under review for ESSD (discussion: open, 2 comments) Shortsummary
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Here we report the first iteration of a new comprehensive global sea surface temperature database for the Last Interglacial (129–116 kyr). From the new dataset we have been able to determine zonal and global temperature averages with a maximum global warming of 0.9 ± 0.2 °C in the early interglacial. Our database suggests an upper limit of 0.13 ± 0.1 m for the role of thermal expansion in global sea level rise, implying a a greater contribution from polar ice sheets than hitherto supposed.Hide
27 Jan 2020 Green Edge ice camp campaigns: understanding the processes controlling the under-ice Arctic phytoplankton spring bloom Philippe Massicotte, Rémi Amiraux, Marie-Pier Amyot, Philippe Archambault, Mathieu Ardyna, Laurent Arnaud, Lise Artigue, Cyril Aubry, Pierre Ayotte, Guislain Bécu, Simon Bélanger, Ronald Benner, Henry C. Bittig, Annick Bricaud, Éric Brossier, Flavienne Bruyant, Laurent Chauvaud, Debra Christiansen-Stowe, Hervé Claustre, Véronique Cornet-Barthaux, Pierre Coupel, Christine Cox, Aurelie Delaforge, Thibaud Dezutter, Céline Dimier, Florent Domine, Francis Dufour, Christiane Dufresne, Dany Dumont, Jens Ehn, Brent Else, Joannie Ferland, Marie-Hélène Forget, Louis Fortier, Martí Galí, Virginie Galindo, Morgane Gallinari, Nicole Garcia, Catherine Gérikas Ribeiro, Margaux Gourdal, Priscilla Gourvil, Clemence Goyens, Pierre-Luc Grondin, Pascal Guillot, Caroline Guilmette, Marie-Noëlle Houssais, Fabien Joux, Léo Lacour, Thomas Lacour, Augustin Lafond, José Lagunas, Catherine Lalande, Julien Laliberté, Simon Lambert-Girard, Jade Larivière, Johann Lavaud, Anita LeBaron, Karine Leblanc, Florence Le Gall, Justine Legras, Mélanie Lemire, Maurice Levasseur, Edouard Leymarie, Aude Leynaert, Adriana Lopes dos Santos, Antonio Lourenço, David Mah, Claudie Marec, Dominique Marie, Nicolas Martin, Constance Marty, Sabine Marty, Guillaume Massé, Atsushi Matsuoka, Lisa Matthes, Brivaela Moriceau, Pierre-Emmanuel Muller, Christopher-John Mundy, Griet Neukermans, Laurent Oziel, Christos Panagiotopoulos, Jean-Jacques Pangrazi, Ghislain Picard, Marc Picheral, France Pinczon du Sel, Nicole Pogorzelec, Ian Probert, Bernard Quéguiner, Patrick Raimbault, Joséphine Ras, Eric Rehm, Erin Reimer, Jean-François Rontani, Søren Rysgaard, Blanche Saint-Béat, Makoto Sampei, Julie Sansoulet, Catherine Schmechtig, Sabine Schmidt, Richard Sempéré, Caroline Sévigny, Yuan Shen, Margot Tragin, Jean-Éric Tremblay, Daniel Vaulot, Gauthier Verin, Frédéric Vivier, Anda Vladoiu, Jeremy Whitehead, and Marcel Babin Earth Syst. Sci. Data, 12, 151–176, https://doi.org/10.5194/essd-12-151-2020,https://doi.org/10.5194/essd-12-151-2020,2020 Short summary
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The Green Edge initiative was developed to understand the processes controlling the primary productivity and the fate of organic matter produced during the Arctic spring bloom (PSB). In this article, we present an overview of an extensive and comprehensive dataset acquired during two expeditions conducted in 2015 and 2016 on landfast ice southeast of Qikiqtarjuaq Island in Baffin Bay.Hide
27 Jan 2020 A17-year dataset of surface water fugacity of CO2, along with calculated pH, Aragonite saturation state, and air-sea CO2 fluxes in the Northern Caribbean Sea Rik Wanninkhof, Denis Pierrot, Kevin Sullivan, Leticia Barbero, andjoaquin Trinanes
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-245,https://doi.org/10.5194/essd-2019-245,2020
Preprint under review for ESSD (discussion: final response, 3 comments) Short summaryShort summary
This paper describes a 18-year dataset of over a million data points of automated partial pressure of CO2 (pCO2) measurements on large luxury cruise ships of the Royal Caribbean Cruise Lines (RCCL). These data are used to provide trends of ocean acidification, and air-sea CO2 fluxes. The effort was possible through a unique continuing industry (RCCL), academic (University of Miami) and governmental(NOAA) partnership.
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27 Jan 2020 The fate of land evaporation – A global dataset Andreas Link, Ruud van der Ent, Markus Berger, Stephanie Eisner, andMatthias Finkbeiner
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-246,https://doi.org/10.5194/essd-2019-246,2020
Preprint under review for ESSD (discussion: open, 1 comment) Shortsummary
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This work provides a global dataset on the fate of land evaporation for a fine-meshed grid of source and receptor cells. The dataset was created through a global run of the numerical moisture tracking model WAM-2layers.The dataset could be used for investigations into average annual, seasonal and inter-annual sink and source regions of atmospheric moisture from land masses for most of the regions in the world and comes along with example scripts for the readout and plotting of the data.Hide
25 Jan 2020 Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition Nicolas Bellouin, Will Davies, Keith P. Shine, Johannes Quaas, Johannes Mülmenstädt, Piers M. Forster, Chris Smith, Lindsay Lee, Leighton Regayre, Guy Brasseur, Natalia Sudarchikova, Idir Bouarar, Olivier Boucher, and Gunnar Myhre Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-251,https://doi.org/10.5194/essd-2019-251,2020
Preprint under review for ESSD (discussion: open, 2 comments) Shortsummary
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Quantifying the imbalance in the Earth's energy budget caused by human activities is important to understand and predict climate changes. This study presents new estimates of the imbalance caused by changes in atmospheric concentrations of carbon dioxide, methane, ozone, and particles of pollution. Over the period 2003-2016, the overall imbalance has been positive, indicating that the climate system has gained energy and will warm further.Hide
23 Jan 2020 A digital archive of human activity in the McMurdo DryValleys, Antarctica
Adrian Howkins, Stephen M. Chignell, Poppie Gullett, Andrew G. Fountain, Melissa Brett, and Evelin Preciado Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-2,https://doi.org/10.5194/essd-2020-2,2020
Revised manuscript under review for ESSD (discussion: final response,4 comments)
23 Jan 2020 Spatial radionuclide deposition data from the 60 km area around the Chernobyl nuclear power plant: results from a samplingsurvey in 1987
Valery Kashparov, Sviatoslav Levchuk, Marina Zhurba, Valentyn Protsak, Nicholas A. Beresford, and Jacqueline S. Chaplow Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-174,https://doi.org/10.5194/essd-2019-174,2020
Preprint under review for ESSD (discussion: open, 3 comments) Shortsummary
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Sampling methodology and spatial radionuclide deposition data from the 60 km area around the Chernobyl nuclear power plant sampled in 1987 by the Ukrainian Institute of Agricultural Radiology. Useful in the reconstruction of doses to human and wildlife populations, answering the current lack of scientific consensus on the effects of radiation on wildlife in the Chernobyl Exclusion zone and in evaluating future management options for Chernobyl impacted area of Ukraine and Belarus.Hide
22 Jan 2020 A taxonomically harmonized and temporally standardized fossil pollen dataset from Siberia covering the last 40 kyr Xianyong Cao, Fang Tian, Andrei Andreev, Patricia M. Anderson, Anatoly V. Lozhkin, Elena Bezrukova, Jian Ni, Natalia Rudaya, Astrid Stobbe, Mareike Wieczorek, and Ulrike Herzschuh Earth Syst. Sci. Data, 12, 119–135, https://doi.org/10.5194/essd-12-119-2020,https://doi.org/10.5194/essd-12-119-2020,2020 Short summary
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Pollen percentages in spectra cannot be utilized to indicate past plant abundance directly because of the different pollen productivities among plants. In this paper, we applied relative pollen productivity estimates (PPEs) to calibrate plant abundances during the last 40 kyr using pollen counts from 203 pollen spectra in northern Asia. Results indicate the vegetation are generally stable during the Holocene and that climate change is the primary factor.Hide
22 Jan 2020 Global River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologiccommunity
Stephen Coss, Michael Durand, Yuchan Yi, Yuanyuan Jia, Qi Guo, Stephen Tuozzolo, C. K. Shum, George H. Allen, Stéphane Calmant, and TamlinPavelsky
Earth Syst. Sci. Data, 12, 137–150, https://doi.org/10.5194/essd-12-137-2020,https://doi.org/10.5194/essd-12-137-2020,2020 Short summary
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We present a new radar-altimeter-satellite-measured river surface height dataset. Our novel approach is broadly applicable rather than location specific. We were able to measure rivers that account for > 34 % of global drainage area with an accuracy comparable to much of the established literature. 389 of our 932 measurement locations include river gage validation. We have focused our efforts on creating a consistent, well-documented data product to encourage use by the broader science community.Hide
22 Jan 2020 A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany Tim G. Reichenau, Wolfgang Korres, Marius Schmidt, Alexander Graf, Gerhard Welp, Nele Meyer, Anja Stadler, Cosimo Brogi, and KarlSchneider
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-193,https://doi.org/10.5194/essd-2019-193,2020
Preprint under review for ESSD (discussion: open, 0 comments) 22 Jan 2020 Apparent ecosystem carbon turnover time: uncertaintiesand robust features
Naixin Fan, Sujan Koirala, Markus Reichstein, Martin Thurner, Valerio Avitabile, Maurizio Santoro, Bernhard Ahrens, Ulrich Weber, and NunoCarvalhais
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-235,https://doi.org/10.5194/essd-2019-235,2020
Preprint under review for ESSD (discussion: open, 2 comments) Shortsummary
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The turnover time of terrestrial carbon (τ) controls the global carbon cycle – climate feedback. In this study, we provide a new, updated ensemble of diagnostic terrestrial carbon turnover times and associated uncertainties on a global scale. Despite the large variation in both magnitude and spatial patterns of τ, we identified robust features in the spatial patterns of τ which could contribute to uncertainty reductions in future projections of the carbon cycle – climate feedback.Hide
21 Jan 2020 The European Radiological Data Exchange Platform (EURDEP): 25 years of monitoring data exchange Marco Sangiorgi, Miguel Angel Hernández-Ceballos, Kevin Jackson, Giorgia Cinelli, Konstantins Bogucarskis, Luca De Felice, Andrei Patrascu, and Marc De Cort Earth Syst. Sci. Data, 12, 109–118, https://doi.org/10.5194/essd-12-109-2020,https://doi.org/10.5194/essd-12-109-2020,2020 Short summary
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After the Chernobyl accident in 1986 the European Commission has invested resources for developing and improving a complete system called the European Radiological Data Exchange Platform (EURDEP) to exchange real-time monitoring data to competent authorities and the public. We provide two complete datasets (air-concentration samples and gamma dose rates) for the recent radiological release of 106Ru in Europe, which occurred between the end of September and early October2017.
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21 Jan 2020 Development of a global 30-m impervious surface map using multi-source and multi-temporal remote sensing datasets with the Google Earth Engine platform Xiao Zhang, Liangyun Liu, Changshan Wu, Xidong Chen, Yuan Gao, ShuaiXie, and Bing Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-200,https://doi.org/10.5194/essd-2019-200,2020
Preprint under review for ESSD (discussion: open, 3 comments) 20 Jan 2020 Greenland Ice Sheet solid ice discharge from 1986 through2019
Kenneth D. Mankoff, Anne Solgaard, William Colgan, Andreas P. Ahlstrøm, Shfaqat Abbas Khan, and Robert S. Fausto Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-240,https://doi.org/10.5194/essd-2019-240,2020
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We have produced an open and reproducible estimate of Greenland Ice Sheet solid ice discharge from 1986 through 2019. Our results show three modes at the total ice-sheet scale: steady discharge from 1986 through 2000, increasing discharge from 2000 through 2005, and steady discharge from 2005 through 2019. The behavior of individual sectors and glaciers is more complicated. This work was done to provide a 100 % reproducible estimate to help constrain mass balance and sea-level rise estimates.Hide
17 Jan 2020 Database for the kinetics of the gas-phase atmospheric reactions of organic compounds Max R. McGillen, William P.L. Carter, Abdelwahid Mellouki, John J. Orlando, Bénédicte Picquet-Varrault, and Timothy J. Wallington Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-236,https://doi.org/10.5194/essd-2019-236,2020
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The gas-phase reactions of organic compounds in the atmosphere are a crucial step in the degradation of anthropogenic and biogenic emissions and the formation of secondary pollutants. This work is an attempt to produce a dataset that is as comprehensive as possible regarding the multitude of chemicals that react in the atmosphere. We find that we are able to make substantial improvements upon previous compendia, and that this progress will help improve our understanding of atmospheric chemistry.Hide
16 Jan 2020 Historical porosity data in polar firn Kévin Fourteau, Laurent Arnaud, Xavier Faïn, Patricia Martinerie, David M. Etheridge, Vladimir Lipenkov, and Jean-Marc Barnola Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-231,https://doi.org/10.5194/essd-2019-231,2020
Preprint under review for ESSD (discussion: final response, 2 comments) Short summaryShort summary
Measurements of the porosity of three polar firns have been conducted in the 1990's by Jean-Marc Barnola using the method of gas pycnometry. From these data, a parametrization of firn pore closure has been produced and used in different published articles. However, the data have not been published in their own right yet. We have made the data publicly accessible on the PANGAEA database and propose here to describe how they were obtained and used to produce the pore closureparametrization.
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14 Jan 2020 The UK Environmental Change Network datasets – integrated and co-located data for long-term environmental research(1993–2015)
Susannah Rennie, Chris Andrews, Sarah Atkinson, Deborah Beaumont, Sue Benham, Vic Bowmaker, Jan Dick, Bev Dodd, Colm McKenna, Denise Pallett, Rob Rose, Stefanie M. Schäfer, Tony Scott, Carol Taylor, andHelen Watson
Earth Syst. Sci. Data, 12, 87–107, https://doi.org/10.5194/essd-12-87-2020,https://doi.org/10.5194/essd-12-87-2020,2020 Short summary
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This paper describes the meteorological, biological and biogeochemical datasets of the UK Environmental Change Network, a nationally unique long-term record environmental variability across UK habitats. The co-location of these measurements provides a rare opportunity to directly investigate relationships between environmental variables over significant time scales (1992–2015). This data record also provides the UK contribution to a global system of long-term environmental research networks.Hide
14 Jan 2020 Glacial lake inventory of High Mountain Asia (1990–2018) derived from Landsat images Xin Wang, Xiaoyu Guo, Chengde Yang, Qionghuan Liu, Junfeng Wei, Yong Zhang, Shiyin Liu, Yanlin Zhang, Zongli Jiang, and Zhiguang Tang Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-212,https://doi.org/10.5194/essd-2019-212,2020
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The theoretical and methodological bases for all processing steps including glacial lake definition and classification, lake boundary delineation were discussed based on satellite remote sensing data and GIS techniques. The relative area errors of each lake in 2018 varied from 2–85 % with average relative area errors of ±13.3 %. In the HMA, 28,953 glacial lakes with a total area of 1955.93 ± 259.68 km2 were catalogued in 2018 with an average rate of increase in area of 15.5 % in 1990-2018.Hide
13 Jan 2020 Hyperspectral ultraviolet to shortwave infrared characteristics of marine-harvested, washed-ashore and virgin plastics Shungudzemwoyo P. Garaba and Heidi M. Dierssen Earth Syst. Sci. Data, 12, 77–86, https://doi.org/10.5194/essd-12-77-2020,https://doi.org/10.5194/essd-12-77-2020,2020 Short summary
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As remote sensing is becoming more integral in future plastic litter monitoring strategies, there is need to improve our understanding of the optical properties of plastics. We present spectral reflectance data (350–2500 nm) of wet and dry marine-harvested (Atlantic and Pacific oceans), washed-ashore, and virgin plastics. Absorption features were identified at ~ 931, 1215, 1417 and 1732 nm in both the marine-harvested and washed-ashore plastics.Hide
07 Jan 2020 GloFAS-ERA5 operational global river discharge reanalysis1979–present
Shaun Harrigan, Ervin Zsoter, Lorenzo Alfieri, Christel Prudhomme, Peter Salamon, Fredrik Wetterhall, Christopher Barnard, Hannah Cloke, and Florian Pappenberger Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-232,https://doi.org/10.5194/essd-2019-232,2020
Preprint under review for ESSD (discussion: open, 0 comments) Shortsummary
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A new river discharge reanalysis dataset is produced operationally by coupling ECMWF’s latest global atmospheric reanalysis, ERA5, with the hydrological modelling component of the Global Flood Awareness System (GloFAS). The GloFAS-ERA5 reanalysis is a global gridded dataset with a horizontal resolution of 0.1° at a daily time step and is freely available from 1979 until near real time. The evaluation against observations shows that the GloFAS-ERA5 reanalysis was skilful in 86 % of catchments.Hide
06 Jan 2020 An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD)version 1.0
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai Earth Syst. Sci. Data, 12, 61–76, https://doi.org/10.5194/essd-12-61-2020,https://doi.org/10.5194/essd-12-61-2020,2020 Short summary
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The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.Hide
06 Jan 2020 Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties Martin Stengel, Stefan Stapelberg, Oliver Sus, Stephan Finkensieper, Benjamin Würzler, Daniel Philipp, Rainer Hollmann, Caroline Poulsen, Matthew Christensen, and Gregory McGarragh Earth Syst. Sci. Data, 12, 41–60, https://doi.org/10.5194/essd-12-41-2020,https://doi.org/10.5194/essd-12-41-2020,2020 Short summary
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The Cloud_cci AVHRR-PMv3 dataset contains global, cloud and radiative flux properties covering the period of 1982 to 2016. The properties were retrieved from AVHRR measurements recorded by afternoon satellites of the NOAA POES missions. Validation against CALIOP, BSRN and CERES demonstrates the high quality of the data. The Cloud_cci AVHRR-PMv3 dataset allows for a large variety of climate applications that build on cloud properties, radiative flux properties and/or thelink between them.
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03 Jan 2020 Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds Giulia Carella, Mathieu Vrac, Hélène Brogniez, Pascal Yiou, andHélène Chepfer
Earth Syst. Sci. Data, 12, 1–20, https://doi.org/10.5194/essd-12-1-2020,https://doi.org/10.5194/essd-12-1-2020,2020 Short summary
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Observations of relative humidity for ice clouds over the tropical oceans from a passive microwave sounder are downscaled by incorporating the high-resolution variability derived from simultaneous co-located cloud profiles from a lidar. By providing a method to generate pseudo-observations of relative humidity at high spatial resolution, this work will help revisit some of the current key barriers in atmospheric science.Hide
03 Jan 2020 A review of biomass equations for China's tree species Yunjian Luo, Xiaoke Wang, Zhiyun Ouyang, Fei Lu, Liguo Feng, and JunTao
Earth Syst. Sci. Data, 12, 21–40, https://doi.org/10.5194/essd-12-21-2020,https://doi.org/10.5194/essd-12-21-2020,2020 Short summary
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How to accurately estimate tree and forest biomass a concern worldwide. Biomass equations are the most commonly used method. China is one of the most important ecoregions of the world. Here, we develop a tree biomass equation dataset for China via literature retrieval. This dataset consists of 5924 equations for nearly 200 tree species, showing sound geographical, climatic and forest coverage across China. Furthermore, multiple potential avenues for future research areidentified.
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02 Jan 2020 Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018 Riccardo Tortini, Nina Noujdina, Samantha Yeo, Martina Ricko, Charon M Birkett, Ankush Khandelwal, Vipin Kumar, Miriam E Marlier, and DennisP Lettenmaier
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-219,https://doi.org/10.5194/essd-2019-219,2020
Revised manuscript under review for ESSD (discussion: final response, 4 comments) Short summaryShort summary
We present a global collection of satellite-derived time series of surface water volume changes for 347 lakes and reservoirs for 1992–2018. These changes were estimated using a statistical relationship between water surface elevation and area measured from satellite, even during periods when either elevation or area was not available. These records represent the most complete global surface water time series, and they are of fundamental importance to baseline future satellite missions.Hide
02 Jan 2020 Integrating palaeoclimate time series with rich metadata for uncertainty modelling: strategy and documentation of the PALMOD 130k marine palaeoclimate data synthesis Lukas Jonkers, Olivier Cartapanis, Michael Langner, Nick McKay, Stefan Mulitza, Anne Strack, and Michal Kucera Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-223,https://doi.org/10.5194/essd-2019-223,2020
Preprint under review for ESSD (discussion: final response, 4comments)
02 Jan 2020 A dataset of distributed global water withdrawal from1960 to 2017
Denghua Yan, Baisha Weng, Tianling Qin, Hao Wang, Xiangnan Li, Yuheng Yang, Kun Wang, Zhenyu Lv, Jianwei Wang, Meng Li, Shan He, Fang Liu, Shanshan Liu, Wuxia Bi, Ting Xu, Xiaoqing Shi, Zihao Man, Congwu Sun, Meiyu Liu, Mengke Wang, Yinghou Huang, Haoyu Long, Yongzhen Niu, Batsuren Dorjsuren, Mohammed Gedefaw, Abel Girma, and Asaminew Abiyu Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-224,https://doi.org/10.5194/essd-2019-224,2020
Preprint under review for ESSD (discussion: open, 5 comments) Shortsummary
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This paper provides a complete data set of global water withdrawal. There is almost no continuous long series of water withdrawal data globally. Moreover, most of the data released by international organizations is based on national scale and lacks finer regional data. Therefore, appropriate methods are needed to modify the data. This dataset has important practical significance in promoting the harmonious and sustainable development of economy and resources of theworld.
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Earth System Science Data The data publishing journalDetails
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