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High-temporal-resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004–2020) Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-24 Emilio I. Mateo, Bryan G. Mark, Robert Å. Hellström, Michel Baraer, Jeffrey M. McKenzie, Thomas Condom, Alejo Cochachín Rapre, Gilber Gonzales, Joe Quijano Gómez, Rolando Cesai Crúz Encarnación
This article presents a comprehensive hydrometeorological dataset collected over the past two decades throughout the Cordillera Blanca, Peru. The data-recording sites, located in the upper portion of the Rio Santa valley, also known as the Callejon de Huaylas, span an elevation range of 3738–4750 m a.s.l. As many historical hydrological stations measuring daily discharge across the region became defunct
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Escherichia coli concentration, multiscale monitoring over the decade 2011–2021 in the Mekong River basin, Lao PDR Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-24 Laurie Boithias, Olivier Ribolzi, Emma Rochelle-Newall, Chanthanousone Thammahacksa, Paty Nakhle, Bounsamay Soulileuth, Anne Pando-Bahuon, Keooudone Latsachack, Norbert Silvera, Phabvilay Sounyafong, Khampaseuth Xayyathip, Rosalie Zimmermann, Sayaphet Rattanavong, Priscia Oliva, Thomas Pommier, Olivier Evrard, Sylvain Huon, Jean Causse, Thierry Henry-des-Tureaux, Oloth Sengtaheuanghoung, Nivong Sipaseuth
Bacterial pathogens in surface waters may threaten human health, especially in developing countries, where untreated surface water is often used for domestic needs. The objective of the long-term multiscale monitoring of Escherichia coli ([E. coli]) concentration in stream water, and that of associated variables (temperature (T), electrical conductance (EC), dissolved oxygen concentration ([DO]) and
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A 30 m annual maize phenology dataset from 1985 to 2020 in China Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-23 Quandi Niu, Xuecao Li, Jianxi Huang, Hai Huang, Xianda Huang, Wei Su, Wenping Yuan
Crop phenology indicators provide essential information on crop growth phases, which are highly required for agroecosystem management and yield estimation. Previous crop phenology studies were mainly conducted using coarse-resolution (e.g., 500 m) satellite data, such as the moderate resolution imaging spectroradiometer (MODIS) data. However, precision agriculture requires higher resolution phenology
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Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-23 Jeremy Baynes, Anne Neale, Torrin Hultgren
Population change impacts almost every aspect of global change from land use, to greenhouse gas emissions, to biodiversity conservation, to the spread of disease. Data on spatial patterns of population density help us understand patterns and drivers of human settlement and can help us quantify the exposure we face to natural disasters, pollution, and infectious disease. Human populations are typically
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SDUST2020 MSS: A global 1′×1′ mean sea surface model determined from multi-satellite altimetry data Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-23 Jiajia Yuan, Jinyun Guo, Chengcheng Zhu, Zhen Li, Xin Liu, Jinyao Gao
Abstract. This article focuses on the determination and the validation of a new global mean sea surface (MSS) model which is named as SDUST2020 (Shandong University of Science and Technology 2020) with a grid of 1′×1′. This new model is established with 19-year moving average method and merges multi-satellite altimetry data over 27-year (from January 1993 to December 2019). The data of HY-2A, Jason-3
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Impacts of the proposal of the CNG2020 strategy on aircraft emissions of China-Foreign routes Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-23 Qiang Cui, Yilin Lei, Bin Chen
Abstract. Aviation emission accounting is the key to establishing market measures to control aviation pollutant emissions. Based on the Fuel Percentage Method (FPM), this paper applies the Improved BFFM2-FOA-FPM method to calculate the emissions of six pollutants (CO2, CO, HC, NOx, SO2, and PM2.5) between Chinese and foreign cities from 2014 to 2019, including Landing and Take-off (LTO) emissions and
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The polar mesospheric cloud dataset of the Balloon Lidar Experiment BOLIDE Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-22 Natalie Kaifler, Bernd Kaifler, Markus Rapp, David C. Fritts
Abstract. The Balloon Lidar Experiment (BOLIDE) observed polar mesospheric clouds (PMC) along the Arctic circle between Sweden and Canada during the balloon flight of PMC Turbo in July 2018. The purpose of the mission was to study small-scale dynamical processes induced by the breaking of atmospheric gravity waves by high-resolution imaging and profiling of the PMC layer. The primary measured variable
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UGS-1m: Fine-grained urban green space mapping of 34 major cities in China based on the deep learning framework Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-22 Qian Shi, Mengxi Liu, Andrea Marinoni, Xiaoping Liu
Abstract. Urban green space (UGS) is an important component in the urban ecosystem and has great significance to the urban ecological environment. Although the development of remote sensing platforms and deep learning technologies have provided opportunities for UGS mapping from high-resolution images (HRIs), challenges still exist in its large-scale and fine-grained application, due to insufficient
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The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016) Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-21 Enza Di Tomaso, Jerónimo Escribano, Sara Basart, Paul Ginoux, Francesca Macchia, Francesca Barnaba, Francesco Benincasa, Pierre-Antoine Bretonnière, Arnau Buñuel, Miguel Castrillo, Emilio Cuevas, Paola Formenti, María Gonçalves, Oriol Jorba, Martina Klose, Lucia Mona, Gilbert Montané Pinto, Michail Mytilinaios, Vincenzo Obiso, Miriam Olid, Nick Schutgens, Athanasios Votsis, Ernest Werner, Carlos Pérez
One of the challenges in studying desert dust aerosol along with its numerous interactions and impacts is the paucity of direct in situ measurements, particularly in the areas most affected by dust storms. Satellites typically provide column-integrated aerosol measurements, but observationally constrained continuous 3D dust fields are needed to assess dust variability, climate effects and impacts upon
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HOTRUNZ: an open-access 1 km resolution monthly 1910–2019 time series of interpolated temperature and rainfall grids with associated uncertainty for New Zealand Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-21 Thomas R. Etherington, George L. W. Perry, Janet M. Wilmshurst
Long time series of temperature and rainfall grids are fundamental to understanding how these environmental variables affect environmental or ecological patterns and processes such as plant distributions, plant and animal phenology, wildfires, and hydrology. Ideally such temperature and rainfall grids are openly available and associated with uncertainties so that data-quality issues are transparent
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Near real-time CO2 fluxes from CarbonTracker Europe for high resolution atmospheric modeling Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-21 Auke Marijn van der Woude, Remco de Kok, Naomi Smith, Ingrid T. Luijkx, Santiago Botia, Ute Karstens, Linda Maria Johanna Kooijmans, Gerbrand Koren, Harro Meijer, Gert-Jan Steeneveld, Ida Storm, Ingrid Super, Bert Augustinus Scheeren, Alex Vermeulen, Wouter Peters
Abstract. We present the CarbonTracker Europe High-Resolution system that estimates carbon dioxide (CO2) exchange over Europe at high-resolution (0.1 x 0.2°) and in near real-time (about 2 months latency). It includes a dynamic fossil fuel emission model, which uses easily available statistics on economic activity, energy-use, and weather to generate fossil fuel emissions with dynamic time profiles
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The WGLC global gridded lightning climatology and time series, 2022 update Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-21 Jed O. Kaplan, Katie Hong-Kiu Lau
Abstract. Here we describe the 2022 update to the WGLC global gridded lightning climatology and timeseries (Kaplan and Lau, 2021), which extends the dataset with global lightning observations from 2021. This addition of new data means that the WGLC now contains 12 complete years of global lightning stroke observations covering 2010–2021. Slightly more lightning strokes (3 %) were recorded in 2021 compared
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The World Atlas of Last Interglacial Shorelines (Version 1.0) Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-21 Alessio Rovere, Deirdre D. Ryan, Matteo Vacchi, Andrea Dutton, Alexander R. Simms, Colin V. Murray-Wallace
Abstract. In this manuscript, we present Version 1.0 of the World Atlas of Last Interglacial Shorelines (WALIS), a global database of sea-level proxies and samples dated to Marine Isotope Stage 5 (~80 to 130 ka). The database includes a series of datasets compiled in the framework of a Special Issue published in this journal (https://essd.copernicus.org/articles/special_issue1055.html). This manuscript
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In situ stress database of the greater Ruhr region (Germany) derived from hydrofracturing tests and borehole logs Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-21 Michal Kruszewski, Gerd Klee, Thomas Niederhuber, Oliver Heidbach
Abstract. Between 1986 and 1995 429 hydrofracturing tests have been carried out in six, now abandoned, coal mines and two coal bed methane boreholes at depths between 600 and 1950 m within the greater Ruhr region in western Germany. From these tests, stress magnitudes and orientations of the stress tensor are derived. The majority of hydrofracturing tests were carried out from mine galleries away from
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A dataset of microphysical cloud parameters, retrieved from Fourier-transform infrared (FTIR) emission spectra measured in Arctic summer 2017 Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-20 Philipp Richter, Mathias Palm, Christine Weinzierl, Hannes Griesche, Penny M. Rowe, Justus Notholt
A dataset of microphysical cloud parameters from optically thin clouds, retrieved from infrared spectral radiances measured in summer 2017 in the Arctic, is presented. Measurements were performed using a mobile Fourier-transform infrared (FTIR) spectrometer which was carried by RV Polarstern. The dataset contains retrieved optical depths and effective radii of ice and liquid water, from which the liquid
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The HYPERMAQ dataset Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-17 Héloïse Lavigne, Ana Dogliotti, David Doxaran, Fang Shen, Alexandre Castagna, Matthew Beck, Quinten Vanhellemont, Xuerong Sun, Juan Ignacio Gossn, Renosh Pannimpullath, Koen Sabbe, Dieter Vansteenwegen, Kevin Ruddick
Abstract. Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180
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Primary productivity measurements in the Ross Sea, Antarctica: a regional synthesis Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-15 Walker O. Smith Jr.
Polar systems are undersampled due to the difficulty of sampling remote and challenging environments; however, these systems are critical components of global biogeochemical cycles. Measurements on primary productivity in specific areas can quantify the input of organic matter to food webs and so are of critical ecological importance as well. However, long-term measurements using the same methodology
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Hourly historical and near-future weather and climate variables for energy system modelling Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-15 Hannah C. Bloomfield, David J. Brayshaw, Matthew Deakin, David Greenwood
Energy systems are becoming increasingly exposed to the impacts of weather and climate due to the uptake of renewable generation and the electrification of the heat and transport sectors. The need for high-quality meteorological data to manage present and near-future risks is urgent. This paper provides a comprehensive set of multi-decadal, time series of hourly meteorological variables and weather-dependent
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LUCAS Cover photos 2006–2018 over the EU: 874,646 spatially distributed geo-tagged close-up photos with land cover and plant species label Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-15 Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez, Peter Haub, Oliver Buck, Carsten Haub, Beatrice Eiselt, Marijn van der Velde
Abstract. In the European Union, a tri-annual surveyed sample collects land cover and land use information under the Land Use/Cover Area frame Survey since 2006. A total of 1,351,293 observations at 651,780 unique locations for 106 variables along with 5.4 million landscape and point photos were collected during five LUCAS surveys. In addition to these photos, a set of previously unpublished LUCAS
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GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020 for change analysis of inland water bodies Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-15 Yang Liu, Ronggao Liu, Rong Shang
Abstract. The extent of surface water has been changing significantly due to climatic change and human activities. However, it is challenging to capture the interannual changes of inland water bodies due to their high seasonal variation and abrupt change. In this paper, a global annual surface water cover frequency dataset (GLOBMAP SWF) was generated from the MODIS land surface reflectance products
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Multi-year emission of carbonaceous aerosols from cooking, fireworks burning, sacrificial incenses, joss paper burning, and barbecue and the key driving forces in China Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-13 Yi Cheng, Shaofei Kong, Liquan Yao, Huang Zheng, Jian Wu, Qin Yan, Shurui Zheng, Yao Hu, Zhenzhen Niu, Yingying Yan, Zhenxing Shen, Guofeng Shen, Dantong Liu, Shuxiao Wang, Shihua Qi
Abstract. There has been controversy about the air pollutants emitted from sources closely related to people's daily life (such as cooking, fireworks burning, sacrificial incenses and joss paper burning, and barbecue, named as five missing sources, FMS) impacting the outdoor air quality to what extent. Till now, there is no emission estimation of air pollutants from FMS, as the missing of both activity
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The CISE-LOCEAN seawater isotopic database (1998–2021) Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-10 Gilles Reverdin, Claire Waelbroeck, Catherine Pierre, Camille Akhoudas, Giovanni Aloisi, Marion Benetti, Bernard Bourlès, Magnus Danielsen, Jérôme Demange, Denis Diverrès, Jean-Claude Gascard, Marie-Noëlle Houssais, Hervé Le Goff, Pascale Lherminier, Claire Lo Monaco, Herlé Mercier, Nicolas Metzl, Simon Morisset, Aïcha Naamar, Thierry Reynaud, Jean-Baptiste Sallée, Virginie Thierry, Susan E. Hartman
The characteristics of the CISE-LOCEAN seawater isotope dataset (δ18O, δ2H, referred to as δD) are presented (https://doi.org/10.17882/71186; Waterisotopes-CISE-LOCEAN, 2021). This dataset covers the time period from 1998 to 2021 and currently includes close to 8000 data entries, all with δ18O, three-quarters of them also with δD, associated with a date stamp, space stamp, and usually a salinity measurement
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Optical and biogeochemical properties of diverse Belgian inland and coastal waters Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-10 Alexandre Castagna, Luz Amadei Martínez, Margarita Bogorad, Ilse Daveloose, Renaat Dasseville, Heidi Melita Dierssen, Matthew Beck, Jonas Mortelmans, Héloïse Lavigne, Ana Dogliotti, David Doxaran, Kevin Ruddick, Wim Vyverman, Koen Sabbe
From 2017 to 2019, an extensive sampling campaign was conducted in Belgian inland and coastal waters, aimed at providing paired data of optical and biogeochemical properties to support research into optical monitoring of aquatic systems. The campaign was focused on inland waters, with sampling of four lakes and a coastal lagoon during the growth season, in addition to samples of opportunity from other
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Enhanced automated meteorological observations at the Canadian Arctic weather science (CAWS) supersites Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-10 Zen Mariani, Laura Huang, Robert Crawford, Jean-Pierre Blanchet, Shannon Hicks-Jalali, Eva Mekis, Ludovick Pelletier, Peter Rodriguez, Kevin Strawbridge
Abstract. The changing Arctic climate is creating increased economic, transportation, and recreational activities requiring reliable and relevant weather information. However, the Canadian Arctic is sparsely observed and processes governing weather systems in the Arctic are not well understood. There is a recognized lack of meteorological data to characterize the Arctic atmosphere for operational forecasting
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Revisiting five decades of 234Th data: a comprehensive global oceanic compilation Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-09 Elena Ceballos-Romero, Ken O. Buesseler, María Villa-Alfageme
We present here a global oceanic compilation of 234Th measurements that collects results from researchers and laboratories over a period exceeding 50 years. The origin of the 234Th sampling in the ocean goes back to 1967, when Bhat et al. (1969) initially studied 234Th distribution relative to its parent 238U in the Indian Ocean. However, it was the seminal work of Buesseler et al. (1992) – which proposed
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New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-09 Yueli Chen, Xingwu Duan, Minghu Ding, Wei Qi, Ting Wei, Jianduo Li, Yun Xie
The risk of water erosion on the Tibetan Plateau (TP), a typical fragile ecological area, is increasing with climate change. A rainfall erosivity map is useful for understanding the spatiotemporal pattern of rainfall erosivity and identifying hot spots of soil erosion. This study generates an annual gridded rainfall erosivity dataset on a 0.25∘ grid for the TP in 1950–2020. The 1 min precipitation
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World Atlas of late Quaternary Foraminiferal Oxygen and Carbon Isotope Ratios Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-08 Stefan Mulitza, Torsten Bickert, Helen C. Bostock, Cristiano M. Chiessi, Barbara Donner, Aline Govin, Naomi Harada, Enqing Huang, Heather Johnstone, Henning Kuhnert, Michael Langner, Frank Lamy, Lester Lembke-Jene, Lorraine Lisiecki, Jean Lynch-Stieglitz, Lars Max, Mahyar Mohtadi, Gesine Mollenhauer, Juan Muglia, Dirk Nürnberg, André Paul, Carsten Rühlemann, Janne Repschläger, Rajeev Saraswat, Andreas
We present a global atlas of downcore foraminiferal oxygen and carbon isotope ratios available at https://doi.org/10.1594/PANGAEA.936747 (Mulitza et al., 2021a). The database contains 2106 published and previously unpublished stable isotope downcore records with 361 949 stable isotope values of various planktic and benthic species of Foraminifera from 1265 sediment cores. Age constraints are provided
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A 1 km daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003–2019 Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-08 Peilin Song, Yongqiang Zhang, Jianping Guo, Jiancheng Shi, Tianjie Zhao, Bing Tong
Surface soil moisture (SSM) is crucial for understanding the hydrological process of our earth surface. The passive microwave (PM) technique has long been the primary tool for estimating global SSM from the view of satellites, while the coarse resolution (usually >∼10 km) of PM observations hampers its applications at finer scales. Although quantitative studies have been proposed for downscaling satellite
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A benchmark dataset of diurnal- and seasonal-scale radiation, heat and CO2 fluxes in a typical East Asian monsoon region Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-08 Zexia Duan, Zhiqiu Gao, Qing Xu, Shaohui Zhou, Kai Qin, Yuanjian Yang
Abstract. A benchmark dataset of radiation, heat and CO2 fluxes is crucial to land–atmosphere interaction research. Due to the rapid urbanization and the development of agriculture, land–atmosphere interaction process over the Yangtze River Delta (YRD) of China, which is the typical East Asian monsoon region, is becoming various and complex. To understand the effects of various land cover changes on
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Holocene spatiotemporal millet agricultural patterns in northern China: A dataset of archaeobotanical macroremains Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-08 Keyang He, Houyuan Lu, Jianping Zhang, Can Wang
Abstract. Millet agriculture, i.e., broomcorn millet (Panicum miliaceum) and foxtail millet (Setaria italica), were initially originated in northern China and provided the basis for the emergence of the first state in the Central Plains. However, owing to the lack of a comprehensive archaeobotanical dataset, when, where, and how these two millet types evolved across different regions and periods remains
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A 1-km daily soil moisture dataset of China based on in-situ measurement using machine learning Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-08 Qingliang Li, Gaosong Shi, Wei Shangguan, Jianduo Li, Lu Li, Feini Huang, Ye Zhang, Chunyan Wang, Dagang Wang, Jianxiu Qiu, Xingjie Lu, Yongjiu Dai
Abstract. High quality gridded soil moisture products are essential for many Earth system science applications, and they are usually available from remote sensing or model simulations with coarse resolution. Here we present a 1 km resolution long-term dataset of soil moisture derived through machine learning trained with in-situ measurements of 1,789 stations, named as SMCI1.0. Random Forest is used
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An 8-day composited 36 km SMAP soil moisture dataset from 1979 to 2015 produced using a random forest and historical CCI data Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-08 Haoxuan Yang, Qunming Wang, Wei Zhao, Peter M. Atkinson
Abstract. Soil moisture (SM) plays a significant role in many natural and anthropogenic systems which are essential to supporting life on Earth. Thus, accurate measurement and assessment of changes in soil moisture globally is of great value, including long-term historical assessment. Since the on-board cycle and detailed parameters of disparate sensors are different, the European Space Agency established
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Hydrodynamic and hydrological processes within a variety of coral reef lagoons: Field observations during 6 cyclonic seasons in New Caledonia Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-07 Oriane Bruyère, Benoit Soulard, Hugues Lemonnier, Thierry Laugier, Morgane Hubert, Sébastien Petton, Térence Desclaux, Simon Van Wynsberge, Eric Le Tesson, Jérôme Lefèvre, Franck Dumas, Jean-François Kayara, Emmanuel Bourassin, Noémie Lalau, Florence Antypas, Romain Le Gendre
Abstract. From 2014 to 2021, extensive monitoring of hydrodynamics was deployed within a variety of lagoons of New Caledonia during 6 tropical cyclone seasons. Globally, those coastal physical observations encompassed five different lagoons (four of which were never monitored before) and at least eight major atmospheric events ranging from tropical depression to category 4 cyclone. The main objectives
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Tropospheric water vapor: A comprehensive high resolution data collection for the transnational Upper Rhine Graben region Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-07 Benjamin Fersch, Andreas Wagner, Bettina Kamm, Endrit Shehaj, Andreas Schenk, Peng Yuan, Alain Geiger, Gregor Moeller, Bernhard Heck, Stefan Hinz, Hansjörg Kutterer, Harald Kunstmann
Abstract. Tropospheric water vapor is among the most important trace gases of the Earth’s climate system and its temporal and spatial distribution is critical for the genesis of clouds and precipitation. Due to the pronounced dynamics of the atmosphere and the non-linear relation of air temperature and saturated vapor pressure, it is highly variable which hampers the development of high resolution
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Reconstructed daily ground-level O3 in China over 2005–2021 for climatological, ecological, and health research Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-07 Chenhong Zhou, Fan Wang, Yike Guo, Cheng Liu, Dongsheng Ji, Yuesi Wang, Xiaobin Xu, Xiao Lu, Yan Wang, Gregory Carmichael, Meng Gao
Abstract. Accompanied by the continuous declines of PM2.5, O3 pollution has become increasingly prominent and has been targeted by the Government of China to protect climate, ecosystem, and human health. Although satellite retrievals of column O3 have been operated for decades and nationwide monitoring of ground-level O3 has been offered since 2013 in China, climatological variability of ground-level
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Long-Term Ash Dispersal Dataset of the Sakurajima Taisho Eruption for Ashfall Disaster Countermeasure Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-07 Haris Rahadianto, Hirokazu Tatano, Masato Iguchi, Hiroshi L. Tanaka, Tetsuya Takemi, Sudip Roy
Abstract. We present the ashfall deposit and airborne ash concentration dataset from ash dispersal simulation of a large-scale explosive volcanic eruption as a reference for ashfall disaster countermeasure. We select the Taisho (1914) eruption in Sakurajima volcano, regarded as the strongest eruption in Japan in the last century, as our case study to provide a baseline for the worst-case scenario.
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Harmonized gap-filled datasets from 20 urban flux tower sites Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-03 Mathew Lipson, Sue Grimmond, Martin Best, Winston Chow, Andreas Christen, Nektarios Chrysoulakis, Andrew Coutts, Ben Crawford, Stevan Earl, Jonathan Evans, Krzysztof Fortuniak, Bert G. Heusinkveld, Je-Woo Hong, Jinkyu Hong, Leena Järvi, Sungsoo Jo, Yeon-Hee Kim, Simone Kotthaus, Keunmin Lee, Valéry Masson, Joseph P. McFadden, Oliver Michels, Wlodzimierz Pawlak, Matthias Roth, Hirofumi Sugawara, Nigel
Abstract. Twenty urban neighbourhood-scale eddy covariance flux tower datasets have been harmonized and quality controlled, producing a 50 site-year collection with broad diversity in climate and urban surface characteristics. Observations are gap-filled and prepended with 10 years of reanalysis-derived local data to enable use as spin up and forcing for land surface model evaluation. For both gap
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European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-02 Marc Guevara, Hervé Petetin, Oriol Jorba, Hugo Denier van der Gon, Jeroen Kuenen, Ingrid Super, Jukka-Pekka Jalkanen, Elisa Majamäki, Lasse Johansson, Vincent-Henri Peuch, Carlos Pérez García-Pando
We present a European dataset of daily sector-, pollutant- and country-dependent emission adjustment factors associated with the COVID-19 mobility restrictions for the year 2020. We considered metrics traditionally used to estimate emissions, such as energy statistics or traffic counts, as well as information derived from new mobility indicators and machine learning techniques. The resulting dataset
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Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-01 Maik Heistermann, Heye Bogena, Till Francke, Andreas Güntner, Jannis Jakobi, Daniel Rasche, Martin Schrön, Veronika Döpper, Benjamin Fersch, Jannis Groh, Amol Patil, Thomas Pütz, Marvin Reich, Steffen Zacharias, Carmen Zengerle, Sascha Oswald
Cosmic-ray neutron sensing (CRNS) has become an effective method to measure soil moisture at a horizontal scale of hundreds of metres and a depth of decimetres. Recent studies proposed operating CRNS in a network with overlapping footprints in order to cover root-zone water dynamics at the small catchment scale and, at the same time, to represent spatial heterogeneity. In a joint field campaign from
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A decade of glaciological and meteorological observations in the Arctic (Werenskioldbreen, Svalbard) Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-01 Dariusz Ignatiuk, Małgorzata Błaszczyk, Tomasz Budzik, Mariusz Grabiec, Jacek A. Jania, Marta Kondracka, Michał Laska, Łukasz Małarzewski, Łukasz Stachnik
The warming of the Arctic climate is well documented, but the mechanisms of Arctic amplification are still not fully understood. Thus, monitoring of glaciological and meteorological variables and the environmental response to accelerated climate warming must be continued and developed in Svalbard. Long-term meteorological observations carried out in situ on glaciers in conjunction with glaciological
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Nunataryuk field campaigns: Understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-01 Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie
Abstract. Climate warming and related drivers of soil thermal change in the Arctic are expected to modify the distribution and dynamics of carbon contained in perennially frozen grounds. Thawing of permafrost in the Mackenzie Delta region of northwestern Canada, coupled with increases in river discharge and coastal erosion, trigger the release of terrestrial organic matter (OMt) from the largest Arctic
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A comprehensive geospatial database of nearly 100,000 reservoirs in China Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-01 Chunqiao Song, Chenyu Fan, Jingying Zhu, Jida Wang, Yongwei Sheng, Kai Liu, Tan Chen, Pengfei Zhan, Shuangxiao Luo, Linghong Ke
Abstract. With rapid population growth and socioeconomic development over the last century, a great number of dams/reservoirs have been constructed globally to meet various needs. China has strong economical and societal demands for constructing dams and reservoirs. The official statistics reported more than 98,000 dams/reservoirs in China, including nearly 40 % of the world’s large dams. Despite the
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History of anthropogenic Nitrogen inputs (HaNi) to the terrestrial biosphere: A 5-arcmin resolution annual dataset from 1860 to 2019 Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-06-01 Hanqin Tian, Zihao Bian, Hao Shi, Xiaoyu Qin, Naiqing Pan, Chaoqun Lu, Shufen Pan, Francesco N. Tubiello, Jinfeng Chang, Giulia Conchedda, Junguo Liu, Nathaniel Mueller, Kazuya Nishina, Rongting Xu, Jia Yang, Liangzhi You, Bowen Zhang
Abstract. Excessive anthropogenic nitrogen (N) inputs to the biosphere have disrupted the global nitrogen cycle. To better quantify the spatial and temporal patterns of anthropogenic N enrichments, assess their impacts on the biogeochemical cycles of the planet and other living organisms, and improve nitrogen use efficiency (NUE) for sustainable development, we have developed a comprehensive and synthetic
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A newly integrated ground temperature dataset of permafrost along the China-Russia crude oil pipeline route in Northeast China Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-31 Guoyu Li, Wei Ma, Fei Wang, Huijun Jin, Fedorov Alexander, Dun Chen, Gang Wu, Yapeng Cao, Yu Zhou, Yanhu Mu, Yuncheng Mao, Jun Zhang, Kai Gao, Xiaoying Jin, Ruixia He, Xinyu Li, Yan Li
Abstract. The thermal state of permafrost in the present and future is fundamental to the ecosystem evolution, hydrological process, carbon release, and infrastructure integrity in cold regions. From 2011, we began to establish a permafrost monitoring network along the China-Russia crude oil pipelines (CRCOPs) route at the eastern flank of the northern Da Xing'anling Mountains in Northeast China. Based
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Twenty-one years of hydrological data acquisition in the Mediterranean Sea: quality, availability, and research Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-31 Alberto Ribotti, Roberto Sorgente, Federica Pessini, Andrea Cucco, Giovanni Quattrocchi, Mireno Borghini
Abstract. Since 2000 and for the following 20 years hydrological data of the Mediterranean Sea, with a particular focus on the western and central Mediterranean sub-basins, have been acquired to study the hydrodynamics at both coastal and open sea scales. Totally 1468 hydrological casts were realized in 29 oceanographic cruises planned due to scientific purposes linked with funding research projects
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HydroSat: geometric quantities of the global water cycle from geodetic satellites Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-25 Mohammad J. Tourian, Omid Elmi, Yasin Shafaghi, Sajedeh Behnia, Peyman Saemian, Ron Schlesinger, Nico Sneeuw
Against the backdrop of global change, in terms of both climate and demography, there is a pressing need for monitoring of the global water cycle. The publicly available global database is very limited in its spatial and temporal coverage worldwide. Moreover, the acquisition of in situ data and their delivery to the database have been in decline since the late 1970s, be it for economical or political
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Historical reconstruction of background air pollution over France for 2000–2015 Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-24 Elsa Real, Florian Couvidat, Anthony Ung, Laure Malherbe, Blandine Raux, Alicia Gressent, Augustin Colette
This paper describes a 16-year dataset of air pollution concentrations and air quality indicators over France. Using a kriging method that combines background air quality measurements and modeling with the CHIMERE chemistry transport model, hourly concentrations of NO2, O3, PM10 and PM2.5 are produced with a spatial resolution of about 4 km. Regulatory indicators (annual average, SOMO35 (sum of ozone
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Wave attenuation potential, sediment properties and mangrove growth dynamics data over Guyana's intertidal mudflats: assessing the potential of mangrove restoration works Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-24 Üwe S. N. Best, Mick van der Wegen, Jasper Dijkstra, Johan Reyns, Bram C. van Prooijen, Dano Roelvink
Coastal mangroves, thriving at the interface between land and sea, provide robust flood risk reduction. Projected increases in the frequency and magnitude of climate impact drivers such as sea level rise and wind and wave climatology reinforce the need to optimize the design and functionality of coastal protection works to increase resilience. Doing so effectively requires a sound understanding of
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A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-24 Leiyu Yu, Guo Yu Qiu, Chunhua Yan, Wenli Zhao, Zhendong Zou, Jinshan Ding, Longjun Qin, Yujiu Xiong
Abstract. Accurate global terrestrial evapotranspiration (ET) estimation is essential to better understand Earth’s energy and water cycles. Although several global ET products exist, recent studies indicate that ET estimates exhibit high uncertainty. With the increasing trend of extreme climate hazards (e.g., droughts and heat waves), accurate ET estimation under extreme conditions remains challenging
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Forest structure and individual tree inventories of north-eastern Siberia along climatic gradients Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-24 Timon Miesner, Ulrike Herzschuh, Luidmila A. Pestryakova, Mareike Wieczorek, Evgenii S. Zakharov, Alexei I. Kolmogorov, Paraskovya V. Davydova, Stefan Kruse
Abstract. We compile a data set of forest surveys from expeditions to the north-east of the Russian Federation, in Krasnoyarsk Krai, the Republic of Sakha (Yakutia) and the Chukotka Autonomous Okrug (59-73° N, 97-169° E). The region is characterized by permafrost soils, and forests dominated by larch (Larix gmelinii RUPR., Larix cajanderi MAYR). Our dataset consists of a plot data base describing 226
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Hyperspectral reflectance dataset of pristine, weathered and biofouled plastics Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-23 Giulia Leone, Ana I. Catarino, Liesbeth De Keukelaere, Mattias Bossaer, Els Knaeps, Gert Everaert
Abstract. This work presents a hyperspectral reflectance dataset of macroplastic samples acquired using Analytical Spectral Devices (ASD) FieldSpec 4. Samples analysed consisted of pristine, artificially weathered and biofouled plastic items and plastic debris samples collected in the docks of the Port of Antwerp and in the river Scheldt near Temse Bridge (Belgium). The hyperspectral signal of each
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Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-23 Akash Biswal, Vikas Singh, Leeza Malik, Geetam Tiwari, Khaiwal Ravindra, Suman Mor
Abstract. This paper presents a bottom-up methodology to estimate multi-pollutant hourly gridded on-road traffic emission using advanced traffic flow and speed data for Delhi. We have used the globally adopted COPERT (Computer Programme to Calculate Emissions from Road Transport) emission functions to calculate the emission as a function of speed for 127 vehicle categories. At first the traffic volume
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A compilation of global bio-optical in situ data for ocean-colour satellite applications – version three Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-20 André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé
Abstract. A global in-situ data set for validation of ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI) is presented. This version of the compilation, starting in 1997, now extends to 2021, which is important for the validation of the most recent satellite optical sensors such as Sentinel 3B OLCI and NOAA-20 VIIRS. The data set comprises in-situ observations of the
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Methane, carbon dioxide, hydrogen sulfide, and isotopic ratios of methane observations from the Permian Basin tower network Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-20 Vanessa C. Monteiro, Natasha L. Miles, Scott J. Richardson, Zachary Barkley, Bernd J. Haupt, David Lyon, Benjamin Hmiel, Kenneth J. Davis
We describe the instrumentation, calibration, and uncertainty of the network of ground-based, in situ, cavity ring down spectroscopy (CRDS) greenhouse gas (GHG) measurements deployed in the Permian Basin. The primary goal of the network is to be used in conjunction with atmospheric transport modeling to determine methane emissions of the Delaware sub-basin of the Permian Basin oil and natural gas extraction
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Compilation of Last Interglacial (Marine Isotope Stage 5e) sea-level indicators in the Bahamas, Turks and Caicos, and the east coast of Florida, USA Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-19 Andrea Dutton, Alexandra Villa, Peter M. Chutcharavan
This paper provides a summary of published sea-level archives representing the past position of sea level during the Last Interglacial sea-level highstand in the Bahamas, Turks and Caicos, and the eastern (Atlantic) coast of Florida, USA. These data were assembled as part of a community effort to build the World Atlas of Last Interglacial Shorelines (WALIS) database. Shallow marine deposits from this
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Concentrations and fluxes of suspended particulate matter and associated contaminants in the Rhône River from Lake Geneva to the Mediterranean Sea Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-18 Hugo Lepage, Alexandra Gruat, Fabien Thollet, Jérôme Le Coz, Marina Coquery, Matthieu Masson, Aymeric Dabrin, Olivier Radakovitch, Jérôme Labille, Jean-Paul Ambrosi, Doriane Delanghe, Patrick Raimbault
The Rhône River is among the main rivers of western Europe and the biggest by freshwater discharge and sediment delivery to the Mediterranean Sea. Its catchment is characterized by distinct hydrological regimes that may produce annual sediment deliveries ranging from 1.4 to 18.0 Mt yr−1. Its course meets numerous dams, hydro and nuclear power plants as well as agricultural, urban and industrial areas
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Four-century history of land transformation by humans in the United States: 1630–2020 Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-18 Xiaoyong Li, Hanqin Tian, Shufen Pan, Chaoqun Lu
Abstract. The land of the conterminous United States (CONUS) has been transformed dramatically by humans over the last four centuries through land clearing, agricultural land expansion and intensification, and urban sprawl. Spatial-temporal data on long-term historical changes in land use and land cover (LULC) across the CONUS is essential for understanding and predicting the dynamics of coupled natural-human
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High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2020 Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-16 Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, Peter Bauer-Gottwein
Abstract. Reservoirs and dams are essential infrastructures in water management, thus information of their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC), is crucial for understanding their properties and interactions on hydrological and biogeochemical cycles. However, knowledge of these reservoir characteristics is scarce or inconsistent at national
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High-resolution bathymetry models for the Lena Delta and Kolyma Gulf coastal zones Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-13 Matthias Fuchs, Juri Palmtag, Bennet Juhls, Pier Paul Overduin, Guido Grosse, Ahmed Abdelwahab, Michael Bedington, Tina Sanders, Olga Ogneva, Irina V. Fedorova, Nikita S. Zimov, Paul J. Mann, Jens Strauss
Arctic river deltas and deltaic near-shore zones represent important land–ocean transition zones influencing sediment dynamics and nutrient fluxes from permafrost-affected terrestrial ecosystems into the coastal Arctic Ocean. To accurately model fluvial carbon and freshwater export from rapidly changing river catchments as well as assess impacts of future change on the Arctic shelf and coastal ecosystems
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A global long-term (1981–2019) daily land surface radiation budget product from AVHRR satellite data using a residual convolutional neural network Earth Syst. Sci. Data (IF 11.333) Pub Date : 2022-05-13 Jianglei Xu, Shunlin Liang, Bo Jiang
The surface radiation budget, also known as all-wave net radiation (Rn), is a key parameter for various land surface processes including hydrological, ecological, agricultural, and biogeochemical processes. Satellite data can be effectively used to estimate Rn, but existing satellite products have coarse spatial resolutions and limited temporal coverage. In this study, a point-surface matching estimation