Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-447-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-15-447-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
31 Jan 2023
Data description paper |
| 31 Jan 2023
| 31 Jan 2023
Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago
High North Department, Norwegian Institute for Cultural Heritage
Research (NIKU), Fram Centre, N-9296, Tromsø, Norway
College of Humanities, Arts and Social Sciences, Flinders University,
Adelaide, SA 5042, Australia
Department of Physics and Astronomy, University of Bologna, Viale
Berti Pichat 6/2, 40127 Bologna, Italy
Lena Rubensdotter
Geohazard and Earth Observation, Geological Survey of Norway (NGU), P.O. Box 6315 Torgarden, 7491,
Trondheim, Norway
Arctic Geology Department, The University Centre in Svalbard (UNIS),
P.O. Box 156, 9171, Longyearbyen, Norway
Hakan Tanyaş
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, PO Box 217, Enschede, AE 7500, the Netherlands
Luigi Lombardo
Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, PO Box 217, Enschede, AE 7500, the Netherlands
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Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024, https://doi.org/10.5194/nhess-24-823-2024, 2024
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We propose a modeling approach capable of recognizing slopes that may generate landslides, as well as how large these mass movements may be. This protocol is implemented, tested, and validated with data that change in both space and time via an Ensemble Neural Network architecture.
Anatoly O. Sinitsyn, Sara Bazin, Rasmus Benestad, Bernd Etzelmüller, Ketil Isaksen, Hanne Kvitsand, Julia Lutz, Andrea L. Popp, Lena Rubensdotter, and Sebastian Westermann
EGUsphere, https://doi.org/10.5194/egusphere-2023-2950, https://doi.org/10.5194/egusphere-2023-2950, 2023
Preprint archived
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This study looked at under the ground on Svalbard, an archipelago close to the North Pole. We found something very surprising – there is water under the all year around frozen soil. This was not known before. This water could be used for drinking if we manage it carefully. This is important because getting clean drinking water is very difficult in Svalbard, and other Arctic places. Also, because the climate is getting warmer, there might be even more water underground in the future.
Robert Emberson, Dalia B. Kirschbaum, Pukar Amatya, Hakan Tanyas, and Odin Marc
Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022, https://doi.org/10.5194/nhess-22-1129-2022, 2022
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Understanding where landslides occur in mountainous areas is critical to support hazard analysis as well as understand landscape evolution. In this study, we present a large compilation of inventories of landslides triggered by rainfall, including several that are described here for the first time. We analyze the topographic characteristics of the landslides, finding consistent relationships for landslide source and deposition areas, despite differences in the inventories' locations.
Nan Wang, Luigi Lombardo, Marj Tonini, Weiming Cheng, Liang Guo, and Junnan Xiong
Nat. Hazards Earth Syst. Sci., 21, 2109–2124, https://doi.org/10.5194/nhess-21-2109-2021, https://doi.org/10.5194/nhess-21-2109-2021, 2021
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This study exploits 66 years of flash flood disasters across China.
The conclusions are as follows. The clustering procedure highlights distinct spatial and temporal patterns of flash flood disasters at different scales. There are distinguished seasonal, yearly and even long-term persistent flash flood behaviors of flash flood disasters. Finally, the decreased duration of clusters in the recent period indicates a possible activation induced by short-duration extreme rainfall events.
Jianqiang Zhang, Cees J. van Westen, Hakan Tanyas, Olga Mavrouli, Yonggang Ge, Samjwal Bajrachary, Deo Raj Gurung, Megh Raj Dhital, and Narendral Raj Khanal
Nat. Hazards Earth Syst. Sci., 19, 1789–1805, https://doi.org/10.5194/nhess-19-1789-2019, https://doi.org/10.5194/nhess-19-1789-2019, 2019
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The aim of this study is to investigate the differences in the mappable characteristics of earthquake-triggered and rainfall triggered landslides in terms of their frequency–area relationships, spatial distributions and relation with causal factors, as well as to evaluate whether separate susceptibility maps generated for specific landslide size and triggering mechanism are better than a generic landslide susceptibility assessment including all landslide sizes and triggers.
Chenxiao Tang, Cees J. Van Westen, Hakan Tanyas, and Victor G. Jetten
Nat. Hazards Earth Syst. Sci., 16, 2641–2655, https://doi.org/10.5194/nhess-16-2641-2016, https://doi.org/10.5194/nhess-16-2641-2016, 2016
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Post-seismic landslides highlighted the need for more research to provide critical information for reconstruction. By mapping detailed landslide inventories, our work shows that most of the landslide activities were concentrated within the first 3 years after the earthquake, and they are majorly determined by vegetation regrowth, available volumes of loose materials, and extreme rainfall events. The landslide activity will continue to decay, but it may be halted if extreme rainfall occurs.
M. Eckerstorfer, H. H. Christiansen, L. Rubensdotter, and S. Vogel
The Cryosphere, 7, 1361–1374, https://doi.org/10.5194/tc-7-1361-2013, https://doi.org/10.5194/tc-7-1361-2013, 2013
Related subject area
Domain: ESSD – Land | Subject: Hydrology
LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland
High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020
Evapotranspiration evaluation using three different protocols on a large green roof in the greater Paris area
Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
A hydrogeomorphic dataset for characterizing catchment hydrological behavior across the Tibetan Plateau
A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies
First comprehensive stable isotope dataset of diverse water units in a permafrost-dominated catchment on the Qinghai–Xizang Plateau
FOCA: a new quality-controlled database of floods and catchment descriptors in Italy
Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials
A global dataset of the shape of drainage systems
An extensive spatiotemporal water quality dataset covering four decades (1980–2022) in China
Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event
SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains
GloLakes: water storage dynamics for 27 000 lakes globally from 1984 to present derived from satellite altimetry and optical imaging
Satellite-based Near-Real-Time Global Daily Terrestrial Evapotranspiration Estimates
AltiMaP: altimetry mapping procedure for hydrography data
Multivariate characterisation of a blackberry-alder agroforestry system in South Africa: Hydrological, pedological, dendrological and meteorological measurements
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
The use of GRDC gauging stations for calibrating large-scale hydrological models
A long-term dataset of simulated epilimnion and hypolimnion temperatures in 401 French lakes (1959–2020)
GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present
A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model
A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018
Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom
A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022)
Soil water retention and hydraulic conductivity measured in a wide saturation range
A high-frequency, long-term data set of hydrology and sediment yield: the alpine badland catchments of Draix-Bléone Observatory
Geospatial dataset for hydrologic analyses in India (GHI): a quality-controlled dataset on river gauges, catchment boundaries and hydrometeorological time series
A globally sampled high-resolution hand-labeled validation dataset for evaluating surface water extent maps
Lake-TopoCat: a global lake drainage topology and catchment database
Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany
A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015
A global database of historic glacier lake outburst floods
Past and future discharge and stream temperature at high spatial resolution in a large European basin (Loire basin, France)
Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs
An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015
The UKSCAPE-G2G river flow and soil moisture datasets: Grid-to-Grid model estimates for the UK for historical and potential future climates
The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18
RC4USCoast: a river chemistry dataset for regional ocean model applications in the US East Coast, Gulf of Mexico, and US West Coast
Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning
Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts
Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands
Shallow-groundwater-level time series and a groundwater chemistry survey from a boreal headwater catchment, Krycklan, Sweden
Weekly high-resolution multi-spectral and thermal uncrewed-aerial-system mapping of an alpine catchment during summer snowmelt, Niwot Ridge, Colorado
Nunataryuk field campaigns: understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region
Integrated ecohydrological hydrometric and stable water isotope data of a drought-sensitive mixed land use lowland catchment
Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Lake surface temperature retrieved from Landsat satellite series (1984 to 2021) for the North Slave Region
Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data, 16, 2741–2771, https://doi.org/10.5194/essd-16-2741-2024, https://doi.org/10.5194/essd-16-2741-2024, 2024
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LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological time series, including observed streamflow and basin characteristics, for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets and additional information relevant to cold-region hydrology such as annual time series of glacier extent and mass balance. A large majority of the basins in LamaH-Ice are unaffected by human activities.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data, 16, 2449–2464, https://doi.org/10.5194/essd-16-2449-2024, https://doi.org/10.5194/essd-16-2449-2024, 2024
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To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 16, 2351–2366, https://doi.org/10.5194/essd-16-2351-2024, https://doi.org/10.5194/essd-16-2351-2024, 2024
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Nature-based solutions (NBSs), such as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration (ET) process allows NBSs to cool the air. To improve our knowledge about ET assessment, this paper presents some experimental measurement campaigns carried out during three consecutive summers. Data are available for three different (large, small, and point-based) spatial scales.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data, 16, 2073–2098, https://doi.org/10.5194/essd-16-2073-2024, https://doi.org/10.5194/essd-16-2073-2024, 2024
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The aim of this work is to provide the first hydroclimatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named Simbi, provides hydroclimatic time series for around 150 stations and 24 catchment areas.
Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang
Earth Syst. Sci. Data, 16, 1811–1846, https://doi.org/10.5194/essd-16-1811-2024, https://doi.org/10.5194/essd-16-1811-2024, 2024
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Using a collocation-based approach, we developed a reliable global land evapotranspiration product (CAMELE) by merging multi-source datasets. The CAMELE product outperformed individual input datasets and showed satisfactory performance compared to reference data. It also demonstrated superiority for different plant functional types. Our study provides a promising solution for data fusion. The CAMELE dataset allows for detailed research and a better understanding of land–atmosphere interactions.
Yuhan Guo, Hongxing Zheng, Yuting Yang, Yanfang Sang, and Congcong Wen
Earth Syst. Sci. Data, 16, 1651–1665, https://doi.org/10.5194/essd-16-1651-2024, https://doi.org/10.5194/essd-16-1651-2024, 2024
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We have provided an inaugural version of the hydrogeomorphic dataset for catchments over the Tibetan Plateau. We first provide the width-function-based instantaneous unit hydrograph (WFIUH) for each HydroBASINS catchment, which can be used to investigate the spatial heterogeneity of hydrological behavior across the Tibetan Plateau. It is expected to facilitate hydrological modeling across the Tibetan Plateau.
Ziyun Yin, Peirong Lin, Ryan Riggs, George H. Allen, Xiangyong Lei, Ziyan Zheng, and Siyu Cai
Earth Syst. Sci. Data, 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024, https://doi.org/10.5194/essd-16-1559-2024, 2024
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Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter estimation and data-driven machine learning models for hydrological processes. This study complements existing LSH studies by creating a dataset with improved sample coverage, uncertainty estimates, and dynamic descriptions of human activities, which are all crucial to hydrological understanding and modeling.
Yuzhong Yang, Qingbai Wu, Xiaoyan Guo, Lu Zhou, Helin Yao, Dandan Zhang, Zhongqiong Zhang, Ji Chen, and Guojun Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-54, https://doi.org/10.5194/essd-2024-54, 2024
Revised manuscript accepted for ESSD
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Beiluhe Basin is located in the hinterland of QXP, which contains lots of thermokarst lakes, streams, and natural springs. These water components are critical to permafrost hydrological processes. From 2017 to 2022, we have sampled massive liquid water and ground ice samples and analyzed the stable isotopes. Then, we built the first stable isotope dataset on central QXP, which provides a new basis for understanding the hydrological effects of permafrost degradation on the QXP.
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte
Earth Syst. Sci. Data, 16, 1503–1522, https://doi.org/10.5194/essd-16-1503-2024, https://doi.org/10.5194/essd-16-1503-2024, 2024
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FOCA (Italian FlOod and Catchment Atlas) is the first systematic collection of data on Italian river catchments. It comprises geomorphological, soil, land cover, NDVI, climatological and extreme rainfall catchment attributes. FOCA also contains 631 peak and daily discharge time series covering the 1911–2016 period. Using this first nationwide data collection, a wide range of applications, in particular flood studies, can be undertaken within the Italian territory.
Wei Jing Ang, Edward Park, Yadu Pokhrel, Dung Duc Tran, and Ho Huu Loc
Earth Syst. Sci. Data, 16, 1209–1228, https://doi.org/10.5194/essd-16-1209-2024, https://doi.org/10.5194/essd-16-1209-2024, 2024
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Dams have burgeoned in the Mekong, but information on dams is scattered and inconsistent. Up-to-date evaluation of dams is unavailable, and basin-wide hydropower potential has yet to be systematically assessed. We present a comprehensive database of 1055 dams, a spatiotemporal analysis of the dams, and a total hydropower potential of 1 334 683 MW. Considering projected dam development and hydropower potential, the vulnerability and the need for better dam management may be highest in Laos.
Chuanqi He, Ci-Jian Yang, Jens M. Turowski, Richard F. Ott, Jean Braun, Hui Tang, Shadi Ghantous, Xiaoping Yuan, and Gaia Stucky de Quay
Earth Syst. Sci. Data, 16, 1151–1166, https://doi.org/10.5194/essd-16-1151-2024, https://doi.org/10.5194/essd-16-1151-2024, 2024
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The shape of drainage basins and rivers holds significant implications for landscape evolution processes and dynamics. We used a global 90 m resolution topography to obtain ~0.7 million drainage basins with sizes over 50 km2. Our dataset contains the spatial distribution of drainage systems and their morphological parameters, supporting fields such as geomorphology, climatology, biology, ecology, hydrology, and natural hazards.
Jingyu Lin, Peng Wang, Jinzhu Wang, Youping Zhou, Xudong Zhou, Pan Yang, Hao Zhang, Yanpeng Cai, and Zhifeng Yang
Earth Syst. Sci. Data, 16, 1137–1149, https://doi.org/10.5194/essd-16-1137-2024, https://doi.org/10.5194/essd-16-1137-2024, 2024
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Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly, and monthly records of surface water quality spanning the period 1980–2022. It included 18 distinct indicators, meticulously gathered at 2384 monitoring sites, ranging from inland locations to coastal and oceanic areas. This dataset will be very useful for researchers and decision-makers in the fields of hydrology, ecological studies, climate change, policy development, and oceanography.
Ana M. Ricardo, Rui M. L. Ferreira, Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, and Alexandre Serra
Earth Syst. Sci. Data, 16, 375–385, https://doi.org/10.5194/essd-16-375-2024, https://doi.org/10.5194/essd-16-375-2024, 2024
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Floods are among the most common natural disasters responsible for severe damages and human losses. Agueda.2016Flood, a synthesis of locally sensed data and numerically produced data, allows complete characterization of the flood event that occurred in February 2016 in the Portuguese Águeda River. The dataset was managed through the RiverCure Portal, a collaborative web platform connected to a validated shallow-water model.
Kaihao Zheng, Peirong Lin, and Ziyun Yin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-540, https://doi.org/10.5194/essd-2023-540, 2024
Revised manuscript accepted for ESSD
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We develop a globally applicable thresholding scheme for DEM-based floodplain delineation, which involves a stepwise approach to estimate the Floodplain Hydraulic Geometry scaling parameters for 269 river basins that best respect the scaling law while approximating the global flood maps from hydrodynamic modeling. A ~90-m resolution global floodplain map named Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT) is delineated with demonstrated superiority.
Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo, and Pablo R. Larraondo
Earth Syst. Sci. Data, 16, 201–218, https://doi.org/10.5194/essd-16-201-2024, https://doi.org/10.5194/essd-16-201-2024, 2024
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The GloLakes dataset provides historical and near-real-time time series of relative (i.e. storage change) and absolute (i.e. total stored volume) storage for more than 27 000 lakes worldwide using multiple sources of satellite data, including laser and radar altimetry and optical remote sensing. These data can help us understand the influence of climate variability and anthropogenic activities on water availability and system ecology over the last 4 decades.
Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-495, https://doi.org/10.5194/essd-2023-495, 2024
Revised manuscript accepted for ESSD
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Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index-temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
Menaka Revel, Xudong Zhou, Prakat Modi, Jean-François Cretaux, Stephane Calmant, and Dai Yamazaki
Earth Syst. Sci. Data, 16, 75–88, https://doi.org/10.5194/essd-16-75-2024, https://doi.org/10.5194/essd-16-75-2024, 2024
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As satellite technology advances, there is an incredible amount of remotely sensed data for observing terrestrial water. Satellite altimetry observations of water heights can be utilized to calibrate and validate large-scale hydrodynamic models. However, because large-scale models are discontinuous, comparing satellite altimetry to predicted water surface elevation is difficult. We developed a satellite altimetry mapping procedure for high-resolution river network data.
Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-478, https://doi.org/10.5194/essd-2023-478, 2023
Revised manuscript accepted for ESSD
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Agroforestry systems (AFS) combine trees and crops within the same land unit providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023, https://doi.org/10.5194/essd-15-5755-2023, 2023
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CAMELS-CH is an open large-sample hydro-meteorological data set that covers 331 catchments in hydrologic Switzerland from 1 January 1981 to 31 December 2020. It comprises (a) daily data of river discharge and water level as well as meteorologic variables like precipitation and temperature; (b) yearly glacier and land cover data; (c) static attributes of, e.g, topography or human impact; and (d) catchment delineations. CAMELS-CH enables water and climate research and modeling at catchment level.
Peter Burek and Mikhail Smilovic
Earth Syst. Sci. Data, 15, 5617–5629, https://doi.org/10.5194/essd-15-5617-2023, https://doi.org/10.5194/essd-15-5617-2023, 2023
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We address an annoying problem every grid-based hydrological model must solve to compare simulated and observed river discharge. First, station locations do not fit the high-resolution river network. We update the database with stations based on a new high-resolution network. Second, station locations do not work with a coarser grid-based network. We use a new basin shape similarity concept for station locations on a coarser grid, reducing the error of assigning stations to the wrong basin.
Najwa Sharaf, Jordi Prats, Nathalie Reynaud, Thierry Tormos, Rosalie Bruel, Tiphaine Peroux, and Pierre-Alain Danis
Earth Syst. Sci. Data, 15, 5631–5650, https://doi.org/10.5194/essd-15-5631-2023, https://doi.org/10.5194/essd-15-5631-2023, 2023
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We present a regional long-term (1959–2020) dataset (LakeTSim) of daily epilimnion and hypolimnion water temperature simulations in 401 French lakes. Overall, less uncertainty is associated with the epilimnion compared to the hypolimnion. LakeTSim is valuable for providing new insights into lake water temperature for assessing the impact of climate change, which is often hindered by the lack of observations, and for decision-making by stakeholders.
Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
Earth Syst. Sci. Data, 15, 5597–5615, https://doi.org/10.5194/essd-15-5597-2023, https://doi.org/10.5194/essd-15-5597-2023, 2023
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This study presents long-term (i.e., 1940–2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). Our proposed GTWS-MLrec performs overall as well as, or is more reliable than, previous TWS datasets.
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen
Earth Syst. Sci. Data, 15, 4849–4876, https://doi.org/10.5194/essd-15-4849-2023, https://doi.org/10.5194/essd-15-4849-2023, 2023
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Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Wei Wang, La Zhuo, Xiangxiang Ji, Zhiwei Yue, Zhibin Li, Meng Li, Huimin Zhang, Rong Gao, Chenjian Yan, Ping Zhang, and Pute Wu
Earth Syst. Sci. Data, 15, 4803–4827, https://doi.org/10.5194/essd-15-4803-2023, https://doi.org/10.5194/essd-15-4803-2023, 2023
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The consumptive water footprint of crop production (WFCP) measures blue and green evapotranspiration of either irrigated or rainfed crops in time and space. A gridded monthly WFCP dataset for China is established. There are four improvements from existing datasets: (i) distinguishing water supply modes and irrigation techniques, (ii) distinguishing evaporation and transpiration, (iii) consisting of both total and unit WFCP, and (iv) providing benchmarks for unit WFCP by climatic zones.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
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This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023, https://doi.org/10.5194/essd-15-4463-2023, 2023
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River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023, https://doi.org/10.5194/essd-15-4417-2023, 2023
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The article describes a collection of 572 data sets of soil water retention and unsaturated hydraulic conductivity data measured with state-of-the-art laboratory methods. Furthermore, the data collection contains basic soil properties such as soil texture and organic carbon content. We expect that the data will be useful for various important purposes, for example, the development of soil hydraulic property models and related pedotransfer functions.
Sebastien Klotz, Caroline Le Bouteiller, Nicolle Mathys, Firmin Fontaine, Xavier Ravanat, Jean-Emmanuel Olivier, Frédéric Liébault, Hugo Jantzi, Patrick Coulmeau, Didier Richard, Jean-Pierre Cambon, and Maurice Meunier
Earth Syst. Sci. Data, 15, 4371–4388, https://doi.org/10.5194/essd-15-4371-2023, https://doi.org/10.5194/essd-15-4371-2023, 2023
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Mountain badlands are places of intense erosion. They deliver large amounts of sediment to river systems, with consequences for hydropower sustainability, habitat quality and biodiversity, and flood hazard and river management. Draix-Bleone Observatory was created in 1983 to understand and quantify sediment delivery from such badland areas. Our paper describes how water and sediment fluxes have been monitored for almost 40 years in the small mountain catchments of this observatory.
Gopi Goteti
Earth Syst. Sci. Data, 15, 4389–4415, https://doi.org/10.5194/essd-15-4389-2023, https://doi.org/10.5194/essd-15-4389-2023, 2023
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Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Rohit Mukherjee, Frederick Policelli, Ruixue Wang, Beth Tellman, Prashanti Sharma, Zhijie Zhang, and Jonathan Giezendanner
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-168, https://doi.org/10.5194/essd-2023-168, 2023
Revised manuscript accepted for ESSD
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Monitoring global water resources is crucial, but trust in existing solutions remains a challenge. To address this, we present a high-resolution dataset of hand-labeled surface water from 90 diverse locations, evaluating a novel Sentinel-1 algorithm for mapping. Our evaluation provides insights into the advantages and limitations of satellite imagery and methods applied. Our study highlights the need for independent validation datasets to ensure accurate and reliable water resource monitoring.
Md Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song, Meng Ding, Jean-François Crétaux, and Tamlin M. Pavelsky
Earth Syst. Sci. Data, 15, 3483–3511, https://doi.org/10.5194/essd-15-3483-2023, https://doi.org/10.5194/essd-15-3483-2023, 2023
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We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Benjamin M. Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Frederic Frappart, Stephane Calmant, Omid Elmi, Ayan Santos Fleischmann, Melanie Becker, Mohammad J. Tourian, Rômulo A. Jucá Oliveira, and Sly Wongchuig
Earth Syst. Sci. Data, 15, 2957–2982, https://doi.org/10.5194/essd-15-2957-2023, https://doi.org/10.5194/essd-15-2957-2023, 2023
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The surface water storage (SWS) in the Congo River basin (CB) remains unknown. In this study, the multi-satellite and hypsometric curve approaches are used to estimate SWS in the CB over 1992–2015. The results provide monthly SWS characterized by strong variability with an annual mean amplitude of ~101 ± 23 km3. The evaluation of SWS against independent datasets performed well. This SWS dataset contributes to the better understanding of the Congo basin’s surface hydrology using remote sensing.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
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Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
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This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki
Earth Syst. Sci. Data, 15, 2781–2808, https://doi.org/10.5194/essd-15-2781-2023, https://doi.org/10.5194/essd-15-2781-2023, 2023
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Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023, https://doi.org/10.5194/essd-15-2755-2023, 2023
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An ensemble of evapotranspiration, runoff, and water storage is estimated here using the Noah-MP land surface model by perturbing model parameterization schemes. The data could be beneficial for monitoring and understanding the variability of water resources. Model developers could also gain insights by intercomparing the ensemble members.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
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Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Jamie Hannaford, Jonathan D. Mackay, Matthew Ascott, Victoria A. Bell, Thomas Chitson, Steven Cole, Christian Counsell, Mason Durant, Christopher R. Jackson, Alison L. Kay, Rosanna A. Lane, Majdi Mansour, Robert Moore, Simon Parry, Alison C. Rudd, Michael Simpson, Katie Facer-Childs, Stephen Turner, John R. Wallbank, Steven Wells, and Amy Wilcox
Earth Syst. Sci. Data, 15, 2391–2415, https://doi.org/10.5194/essd-15-2391-2023, https://doi.org/10.5194/essd-15-2391-2023, 2023
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The eFLaG dataset is a nationally consistent set of projections of future climate change impacts on hydrology. eFLaG uses the latest available UK climate projections (UKCP18) run through a series of computer simulation models which enable us to produce future projections of river flows, groundwater levels and groundwater recharge. These simulations are designed for use by water resource planners and managers but could also be used for a wide range of other purposes.
Fabian A. Gomez, Sang-Ki Lee, Charles A. Stock, Andrew C. Ross, Laure Resplandy, Samantha A. Siedlecki, Filippos Tagklis, and Joseph E. Salisbury
Earth Syst. Sci. Data, 15, 2223–2234, https://doi.org/10.5194/essd-15-2223-2023, https://doi.org/10.5194/essd-15-2223-2023, 2023
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We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
Yufang Zhang, Shunlin Liang, Han Ma, Tao He, Qian Wang, Bing Li, Jianglei Xu, Guodong Zhang, Xiaobang Liu, and Changhao Xiong
Earth Syst. Sci. Data, 15, 2055–2079, https://doi.org/10.5194/essd-15-2055-2023, https://doi.org/10.5194/essd-15-2055-2023, 2023
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Soil moisture observations are important for a range of earth system applications. This study generated a long-term (2000–2020) global seamless soil moisture product with both high spatial and temporal resolutions (1 km, daily) using an XGBoost model and multisource datasets. Evaluation of this product against dense in situ soil moisture datasets and microwave soil moisture products showed that this product has reliable accuracy and more complete spatial coverage.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Rogier van der Velde, Harm-Jan F. Benninga, Bas Retsios, Paul C. Vermunt, and M. Suhyb Salama
Earth Syst. Sci. Data, 15, 1889–1910, https://doi.org/10.5194/essd-15-1889-2023, https://doi.org/10.5194/essd-15-1889-2023, 2023
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From 2009, a network of 20 profile soil moisture and temperature monitoring stations has been operational in the Twente region, east of the Netherlands. In addition, field campaigns have been conducted covering four growing seasons during which soil moisture was measured near 12 monitoring stations. We describe the monitoring network and field campaigns, and we provide an overview of open third-party datasets that may support the use of the Twente datasets.
Jana Erdbrügger, Ilja van Meerveld, Jan Seibert, and Kevin Bishop
Earth Syst. Sci. Data, 15, 1779–1800, https://doi.org/10.5194/essd-15-1779-2023, https://doi.org/10.5194/essd-15-1779-2023, 2023
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Groundwater can respond quickly to precipitation and is the main source of streamflow in most catchments in humid, temperate climates. To better understand shallow groundwater dynamics, we installed a network of groundwater wells in two boreal headwater catchments in Sweden. We recorded groundwater levels in 75 wells for 2 years and sampled the water and analyzed its chemical composition in one summer. This paper describes these datasets.
Oliver Wigmore and Noah P. Molotch
Earth Syst. Sci. Data, 15, 1733–1747, https://doi.org/10.5194/essd-15-1733-2023, https://doi.org/10.5194/essd-15-1733-2023, 2023
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We flew a custom-built drone fitted with visible, near-infrared and thermal cameras every week over a summer season at Niwot Ridge in Colorado's alpine tundra. We processed these images into seamless orthomosaics that record changes in snow cover, vegetation health and the movement of water over the land surface. These novel datasets provide a unique centimetre resolution snapshot of ecohydrologic processes, connectivity and spatial and temporal heterogeneity in the alpine zone.
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 Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
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Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Doerthe Tetzlaff, Aaron Smith, Lukas Kleine, Hauke Daempfling, Jonas Freymueller, and Chris Soulsby
Earth Syst. Sci. Data, 15, 1543–1554, https://doi.org/10.5194/essd-15-1543-2023, https://doi.org/10.5194/essd-15-1543-2023, 2023
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We present a comprehensive set of ecohydrological hydrometric and stable water isotope data of 2 years of data. The data set is unique as the different compartments of the landscape were sampled and the effects of a prolonged drought (2018–2020) captured by a marked negative rainfall anomaly (the most severe regional drought of the 21st century). Thus, the data allow the drought effects on water storage, flux and age dynamics, and persistence of lowland landscapes to be investigated.
Jacopo Dari, Luca Brocca, Sara Modanesi, Christian Massari, Angelica Tarpanelli, Silvia Barbetta, Raphael Quast, Mariette Vreugdenhil, Vahid Freeman, Anaïs Barella-Ortiz, Pere Quintana-Seguí, David Bretreger, and Espen Volden
Earth Syst. Sci. Data, 15, 1555–1575, https://doi.org/10.5194/essd-15-1555-2023, https://doi.org/10.5194/essd-15-1555-2023, 2023
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Irrigation is the main source of global freshwater consumption. Despite this, a detailed knowledge of irrigation dynamics (i.e., timing, extent of irrigated areas, and amounts of water used) are generally lacking worldwide. Satellites represent a useful tool to fill this knowledge gap and monitor irrigation water from space. In this study, three regional-scale and high-resolution (1 and 6 km) products of irrigation amounts estimated by inverting the satellite soil moisture signals are presented.
Gifty Attiah, Homa Kheyrollah Pour, and K. Andrea Scott
Earth Syst. Sci. Data, 15, 1329–1355, https://doi.org/10.5194/essd-15-1329-2023, https://doi.org/10.5194/essd-15-1329-2023, 2023
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Lake surface temperature (LST) is a significant indicator of climate change and influences local weather and climate. This study developed a LST dataset retrieved from Landsat archives for 535 lakes across the North Slave Region, NWT, Canada. The data consist of individual NetCDF files for all observed days for each lake. The North Slave LST dataset will provide communities, scientists, and stakeholders with the changing spatiotemporal trends of LST for the past 38 years (1984–2021).
Aolin Jia, Shunlin Liang, Dongdong Wang, Lei Ma, Zhihao Wang, and Shuo Xu
Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, https://doi.org/10.5194/essd-15-869-2023, 2023
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Satellites are now producing multiple global land surface temperature (LST) products; however, they suffer from data gaps caused by cloud cover, seriously restricting the applications, and few products provide gap-free global hourly LST. We produced global hourly, 5 km, all-sky LST data from 2011 to 2021 using geostationary and polar-orbiting satellite data. Based on the assessment, it has high accuracy and can be used to estimate evapotranspiration, drought, etc.
Cited articles
Adhikari, P., Hong, Y., Douglas, K. R., Kirschbaum, D. B., Gourley, J.,
Adler, R., and Robert Brakenridge, G.: A digitized global flood inventory
(1998–2008): compilation and preliminary results, Nat. Hazards, 55,
405–422, https://doi.org/10.1007/s11069-010-9537-2, 2010.
Aguilera, Q., Lombardo, L., Tanyas, H., and Lipani, A.: On the prediction of
landslide occurrences and sizes via Hierarchical Neural Networks,
Stoch. Env. Res. Risk A., 36, 2031–2048, https://doi.org/10.1007/s00477-022-02215-0,
2022.
Ardizzone, F., Cardinali, M., Carrara, A., Guzzetti, F., and Reichenbach, P.: Impact of mapping errors on the reliability of landslide hazard maps, Nat. Hazards Earth Syst. Sci., 2, 3–14, https://doi.org/10.5194/nhess-2-3-2002, 2002.
Atkinson, P., Jiskoot, H., Massari, R., and Murray, T.: Generalized linear
modelling in geomorphology, Earth Surf. Proc. Land., 23,
1185–1195, https://doi.org/10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO;2-W, 1998.
Bertolini, R.: Evaluating Performance Variability of Data Pipelines for
Binary Classification with Applications to Predictive Learning Analytics,
State University of New York at Stony Brook ProQuest Dissertations Publishing, 28644493, 511 pp., 2021.
Biskaborn, B. K., Smith, S. L., Noetzli, J., Matthes, H., Vieira, G.,
Streletskiy, D. A., Schoeneich, P., Romanovsky, V. E., Lewkowicz, A. G., and
Abramov, A.: Permafrost is warming at a global scale, Nat. Commun.,
10, 1–11, https://doi.org/10.1038/s41467-018-08240-4, 2019.
Blais-Stevens, A., Kremer, M., Bonnaventure, P. P., Smith, S. L., Lipovsky,
P., and Lewkowicz, A. G.: Active Layer Detachment Slides and Retrogressive
Thaw Slumps Susceptibility Mapping for Current and Future Permafrost
Distribution, Yukon Alaska Highway Corridor, in: Engineering Geology for
Society and Territory, edited by: Lollino, G., Manconi, A., Clague, J.,
Shan, W., and Chiarle, M., Springer, Cham, 449–453,
https://doi.org/10.1007/978-3-319-09300-0_86, 2015.
Brabb, E. E., Pampeyan, E. H., and Bonilla, M. G.: Landslide susceptibility
in San Mateo County, California, Reston, VA, 1, https://doi.org/10.3133/mf360, 1972.
Brenning, A.: Spatial cross-validation and bootstrap for the assessment of
prediction rules in remote sensing: The R package sperrorest, 2012 IEEE
International Geoscience and Remote Sensing Symposium, Munich, Germany, 22–27 July 2012, 5372–5375,
https://doi.org/10.1109/IGARSS.2012.6352393, 2012.
Bryce, E., Lombardo, L., van Westen, C., Tanyas, H., and Castro-Camilo, D.:
Unified landslide hazard assessment using hurdle models: a case study in the
Island of Dominica, Stoch. Env. Res. Risk A., 36, 2071–2084,
https://doi.org/10.1007/s00477-022-02239-6, 2022.
Cassidy, A. E., Christen, A., and Henry, G. H. R.: Impacts of active
retrogressive thaw slumps on vegetation, soil, and net ecosystem exchange of
carbon dioxide in the Canadian High Arctic, Arctic Science, 3, 179–202,
https://doi.org/10.1139/as-2016-0034, 2017.
Clauset, A., Shalizi, C. R., and Newman, M. E. J.: Power-Law Distributions
in Empirical Data, SIAM Rev., 51, 661–703, https://doi.org/10.1137/070710111, 2009.
Daanen, R. P., Grosse, G., Darrow, M. M., Hamilton, T. D., and Jones, B. M.: Rapid movement of frozen debris-lobes: implications for permafrost degradation and slope instability in the south-central Brooks Range, Alaska, Nat. Hazards Earth Syst. Sci., 12, 1521–1537, https://doi.org/10.5194/nhess-12-1521-2012, 2012.
Demidov, N. E., Borisik, A. L., Verkulich, S. R., Wetterich, S., Gunar, A.
Y., Demidov, V. E., Zheltenkova, N. V., Koshurnikov, A. V., Mikhailova, V.
M., Nikulina, A. L., Novikov, A. L., Savatyugin, L. M., Sirotkin, A. N.,
Terekhov, A. V., Ugrumov, Y. V., and Schirrmeister, L.: Geocryological and
Hydrogeological Conditions of the Western Part of Nordenskiold Land
(Spitsbergen Archipelago), Izvestiya, Atmospheric and Oceanic Physics, 56,
1376–1400, https://doi.org/10.1134/s000143382011002x, 2021.
Densmore, A. L., Ellis, M. A., and Anderson, R. S.: Landsliding and the
evolution of normal-fault-bounded mountains,
J. Geophys. Res.-Sol. Ea., 103, 15203–15219, https://doi.org/10.1029/98jb00510, 1998.
Ding, Y., Mu, C., Wu, T., Hu, G., Zou, D., Wang, D., Li, W., and Wu, X.:
Increasing cryospheric hazards in a warming climate, Earth-Sci. Rev., 213,
103500, https://doi.org/10.1016/j.earscirev.2020.103500, 2021.
Do, K.-A., Müller, P., and Tang, F.: A Bayesian mixture model for
differential gene expression, J. Roy. Stat. Soc. C.-Appl., 54,
627–644, https://doi.org/10.1111/j.1467-9876.2005.05593.x, 2005.
Emberson, R., Kirschbaum, D. B., Amatya, P., Tanyas, H., and Marc, O.: Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories, Nat. Hazards Earth Syst. Sci., 22, 1129–1149, https://doi.org/10.5194/nhess-22-1129-2022, 2022.
Ford, J. D., Pearce, T., Canosa, I. V., and Harper, S.: The rapidly changing
Arctic and its societal implications, Wires Clim. Change, 12, e735,
https://doi.org/10.1002/wcc.735, 2021.
Førland, E. J., Benestad, R., Hanssen-Bauer, I., Haugen, J. E., and
Skaugen, T. E.: Temperature and Precipitation Development at Svalbard
1900–2100, Adv. Meteorol., 2011, 1–14, https://doi.org/10.1155/2011/893790, 2011.
Frey, K. E. and McClelland, J. W.: Impacts of permafrost degradation on
arctic river biogeochemistry, Hydrol. Process., 23, 169–182,
https://doi.org/10.1002/hyp.7196, 2009.
Gilbert, G. L., O'Neill, H. B., Nemec, W., Thiel, C., Christiansen, H. H.,
Buylaert, J.-P., and Eyles, N.: Late Quaternary sedimentation and permafrost
development in a Svalbard fjord-valley, Norwegian high Arctic,
Sedimentology, 65, 2531–2558, https://doi.org/10.1111/sed.12476, 2018.
Godin, E., Fortier, D., and Burn, C. R.: Geomorphology of a thermo-erosion
gully, Bylot Island, Nunavut, Canada, This article is one of a series of
papers published in this CJES Special Issue on the theme of Fundamental and
applied research on permafrost in Canada Polar Continental Shelf Project
Contribution 043-11, Can. J. Earth Sci., 49, 979–986,
https://doi.org/10.1139/e2012-015, 2012.
Godin, E., Fortier, D., and Coulombe, S.: Effects of thermo-erosion gullying
on hydrologic flow networks, discharge and soil loss, Environ. Res. Lett.,
9, 105010, https://doi.org/10.1088/1748-9326/9/10/105010, 2014.
Godin, E., Osinski, G. R., Harrison, T. N., Pontefract, A., and Zanetti, M.:
Geomorphology of Gullies at Thomas Lee Inlet, Devon Island, Canadian High
Arctic, Permafrost Periglac., 30, 19–34, https://doi.org/10.1002/ppp.1992,
2019.
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M.,
and Chang, K.-T.: Landslide inventory maps: New tools for an old problem,
Earth-Sci. Rev., 112, 42–66, https://doi.org/10.1016/j.earscirev.2012.02.001, 2012.
Hajian-Tilaki, K.: Receiver Operating Characteristic (ROC) Curve Analysis
for Medical Diagnostic Test Evaluation,
Caspian Journal of Internal Medicine, 4, 627–635, 2013.
Hansen, A.: Landslide Hazard Analysis, in: Slope Instability, edited by:
Brunsen, D. and Prior, D. B., John Wiley and Sons, New York, 523–602, 1984.
Hanssen-Bauer, I., Førland, E. J., Hisdal, H., Mayer, S., Sandø, A.
B., and Sorteberg, A.: Climate in Svalbard 2100 – a knowledge base for
climate adaptation, Norwegian Centre for Climate Services, Oslo, 207, 2019.
Hergarten, S.: Topography-based modeling of large rockfalls and application
to hazard assessment, Geophys. Res. Lett., 39,
L13402,
https://doi.org/10.1029/2012gl052090, 2012.
Hjort, J., Streletskiy, D., Doré, G., Wu, Q., Bjella, K., and Luoto, M.:
Impacts of permafrost degradation on infrastructure, Nat. Rev. Earth
Environ., 3, 24–38, https://doi.org/10.1038/s43017-021-00247-8, 2022.
Hjort, J., Karjalainen, O., Aalto, J., Westermann, S., Romanovsky, V. E.,
Nelson, F. E., Etzelmüller, B., and Luoto, M.: Degrading permafrost puts
Arctic infrastructure at risk by mid-century, Nat. Commun., 9, 1–9,
https://doi.org/10.1038/s41467-018-07557-4, 2018.
Hosmer, D. W. and Lemeshow, S.: Applied Logistic Regression, John Wiley &
Sons, https://doi.org/10.1002/0471722146, 2000.
Huang, L., Liu, L., Jiang, L., Zhang, T., and Sun, Y.: Detection of Thermal
Erosion Gullies from High-Resolution Images Using Deep Learning, American
Geophysical Union, Fall Meeting 2017, abstract no. C21F-1175, 2017.
Huang, L., Luo, J., Lin, Z., Niu, F., and Liu, L.: Using deep learning to
map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from
CubeSat images, Remote Sens. Environ., 237, 111534, https://doi.org/10.1016/j.rse.2019.111534, 2020.
Huang, L., Lantz, T. C., Fraser, R. H., Tiampo, K. F., Willis, M. J., and
Schaefer, K.: Accuracy, Efficiency, and Transferability of a Deep Learning
Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic,
Remote Sensing, 14, 2747, https://doi.org/10.3390/rs14122747, 2022.
Isaksen, K., Nordli, Ø., Førland, E. J., Łupikasza, E., Eastwood,
S., and Niedźwiedź, T.: Recent warming on Spitsbergen–Influence of
atmospheric circulation and sea ice cover, J. Geophys. Res.-Atmos., 121,
11913–11931, https://doi.org/10.1002/2016JD025606, 2016.
Iwahana, G., Takano, S., Petrov, R. E., Tei, S., Shingubara, R., Maximov, T.
C., Fedorov, A. N., Desyatkin, A. R., Nikolaev, A. N., and Desyatkin, R. V.:
Geocryological characteristics of the upper permafrost in a tundra-forest
transition of the Indigirka River Valley, Russia, Polar Sci., 8, 96–113,
https://doi.org/10.1016/j.polar.2014.01.005, 2014.
Javidan, N., Kavian, A., Pourghasemi, H. R., Conoscenti, C., Jafarian, Z.,
and Rodrigo-Comino, J.: Evaluation of multi-hazard map produced using MaxEnt
machine learning technique, Sci. Rep.-UK, 11, 6496, https://doi.org/10.1038/s41598-021-85862-7,
2021.
Kappes, M. S., Keiler, M., von Elverfeldt, K., and Glade, T.: Challenges of
analyzing multi-hazard risk: a review, Nat. Hazards, 64, 1925–1958,
https://doi.org/10.1007/s11069-012-0294-2, 2012.
Kirschbaum, D. B., Adler, R., Hong, Y., Hill, S., and Lerner-Lam, A.: A
global landslide catalog for hazard applications: method, results, and
limitations, Nat. Hazards, 52, 561–575, https://doi.org/10.1007/s11069-009-9401-4, 2009.
Koevoets, M. J., Hammer, Ø., Olaussen, S., Kim, S., and Smelror, M.:
Integrating subsurface and outcrop data of the Middle Jurassic to Lower
Cretaceous Agardhfjellet Formation in central Spitsbergen, Norw. J. Geol.,
99, 219–252, https://doi.org/10.17850/njg98-4-01, 2019.
Kokelj, S. V. and Jorgenson, M. T.: Advances in Thermokarst Research,
Permafrost Periglac. Process., 24, 108–119, https://doi.org/10.1002/ppp.1779, 2013.
Lacelle, D., Bjornson, J., and Lauriol, B.: Climatic and geomorphic factors
affecting contemporary (1950–2004) activity of retrogressive thaw slumps on
the Aklavik Plateau, Richardson Mountains, NWT, Canada, Permafrost
Periglac. Process., 21, 1–15, https://doi.org/10.1002/ppp.666, 2010.
Lamoureux, S. F. and Lafrenière, M. J.: Fluvial Impact of Extensive
Active Layer Detachments, Cape Bounty, Melville Island, Canada, Arct.
Antarct. Alp. Res., 41, 59–68, https://doi.org/10.1657/1523-0430-41.1.59, 2018.
Lewkowicz, A. G. and Way, R. G.: Extremes of summer climate trigger
thousands of thermokarst landslides in a High Arctic environment, Nat.
Commun., 10, 1329, https://doi.org/10.1038/s41467-019-09314-7, 2019.
Li, C., Ma, T., Zhu, X., and Li, W.: The power–law relationship between
landslide occurrence and rainfall level, Geomorphology, 130, 221–229,
https://doi.org/10.1016/j.geomorph.2011.03.018, 2011.
Lima, P., Steger, S., and Glade, T.: Counteracting flawed landslide data in
statistically based landslide susceptibility modelling for very large areas:
a national-scale assessment for Austria, Landslides, 18, 3531–3546,
https://doi.org/10.1007/s10346-021-01693-7, 2021.
Lombardo, L. and Mai, P. M.: Presenting logistic regression-based landslide
susceptibility results, Eng. Geol., 244, 14–24,
https://doi.org/10.1016/j.enggeo.2018.07.019, 2018.
Lombardo, L. and Tanyas, H.: Chrono-validation of near-real-time landslide
susceptibility models via plug-in statistical simulations, Eng. Geol., 278, 105818, https://doi.org/10.1016/j.enggeo.2020.105818, 2020.
Lombardo, L., Tanyas, H., and Nicu, I. C.: Spatial modeling of multi-hazard
threat to cultural heritage sites, Eng. Geol., 277,
105776, https://doi.org/10.1016/j.enggeo.2020.105776, 2020.
Lombardo, L., Tanyas, H., Huser, R., Guzzetti, F., and Castro-Camilo, D.:
Landslide size matters: A new data-driven, spatial prototype, Eng. Geol.,
293, 106288, https://doi.org/10.1016/j.enggeo.2021.106288, 2021.
Luoto, M. and Hjort, J.: Evaluation of current statistical approaches for
predictive geomorphological mapping, Geomorphology, 67, 299–315,
https://doi.org/10.1016/j.geomorph.2004.10.006, 2005.
Malamud, B. D., Turcotte, D. L., Guzzetti, F., and Reichenbach, P.:
Landslide inventories and their statistical properties, Earth Surf. Proc. Land., 29, 687–711, https://doi.org/10.1002/esp.1064, 2004.
Meena, S. R., Soares, L. P., Grohmann, C. H., van Westen, C., Bhuyan, K.,
Singh, R. P., Floris, M., and Catani, F.: Landslide detection in the
Himalayas using machine learning algorithms and U-Net, Landslides, 19,
1209–1229, https://doi.org/10.1007/s10346-022-01861-3, 2022.
Melvær, Y., Faste Aas, H., and Skiglund, A.: Terrengmodell Svalbard (S0
Terrengmodell) [data set], https://doi.org/10.21334/npolar.2014.dce53a47, 2014.
Moreno, M., Steger, S., Tanyas, H., and Lombardo, L.: Modeling the size of
co-seismic landslides viadata-driven models the Kaikōura's
example, EarthArXiv [preprint], https://doi.org/10.31223/X5VD1P, 19 April 2022.
Nava, L., Bhuyan, K., Meena, S. R., Monserrat, O., and Catani, F.: Rapid
Mapping of Landslides on SAR Data by Attention U-Net, Remote Sens., 14,
1449, https://doi.org/10.3390/rs14061449, 2022.
Nicu, I. C.: Short overview on international historic climate adaptation of
built heritage to natural hazards: lessons for Norway, Int. J. Conserv.
Sci., 13, 441–456, 2022.
Nicu, I. C. and Fatorić, S.: Climate change impacts on immovable
cultural heritage in polar regions: A systematic bibliometric review, WIREs
Climate Change, e822, https://doi.org/10.1002/wcc.822, 2023.
Nicu, I. C., Lombardo, L., and Rubensdotter, L.: Preliminary assessment of
thaw slump hazard to Arctic cultural heritage in Nordenskiöld Land,
Svalbard, Landslides, 18, 2935–2947, https://doi.org/10.1007/s10346-021-01684-8, 2021a.
Nicu, I. C., Rubensdotter, L., and Lombardo, L.: Thaw slump inventory of
Nordenskiöld Land (Svalbard Archipelago), PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.945348, 2022a.
Nicu, I. C., Rubensdotter, L., and Lombardo, L.: Thermo-erosion gullies
inventory of Nordenskiöld Land (Svalbard Archipelago), PANGAEA [data set],
https://doi.org/10.1594/PANGAEA.945395, 2022b.
Nicu, I. C., Rubensdotter, L., Stalsberg, K., and Nau, E.: Coastal Erosion
of Arctic Cultural Heritage in Danger: A Case Study from Svalbard, Norway,
Water, 13, 784, https://doi.org/10.3390/w13060784, 2021b.
Nicu, I. C., Tanyas, H., Rubensdotter, L., and Lombardo, L.: A glimpse into
the northernmost thermo-erosion gullies in Svalbard archipelago and their
implications for Arctic cultural heritage, Catena, 212,
106105, https://doi.org/10.1016/j.catena.2022.106105, 2022c.
Nitze, I., Grosse, G., Jones, B. M., Romanovsky, V. E., and Boike, J.:
Remote sensing quantifies widespread abundance of permafrost region
disturbances across the Arctic and Subarctic, Nat. Commun., 9, 5423,
https://doi.org/10.1038/s41467-018-07663-3, 2018.
Niu, F., Luo, J., Lin, Z., Fang, J., and Liu, M.: Thaw-induced slope
failures and stability analyses in permafrost regions of the Qinghai-Tibet
Plateau, China, Landslides, 13, 55–65, https://doi.org/10.1007/s10346-014-0545-2, 2015.
Norwegian Polar Institute: Terrengmodell Svalbard (S0 Terrengmodell), Norwegian Polar Institute [data set], https://doi.org/10.21334/npolar.2014.dce53a47, 2014.
NPI: Svalbard Orthophoto, https://geodata.npolar.no/, last access:
10 November 2022a.
NPI: Geologi/Geology, Svalbard, https://geodata.npolar.no/arcgis/rest/services/Temadata/G_Geologi_Svalbard_S250_S750/MapServer, last access: 10 June 2022b.
Oberle, F. K. J., Gibbs, A. E., Richmond, B. M., Erikson, L. H., Waldrop, M.
P., and Swarzenski, P. W.: Towards determining spatial methane distribution
on Arctic permafrost bluffs with an unmanned aerial system,
SN Applied Sciences, 1, 236, https://doi.org/10.1007/s42452-019-0242-9, 2019.
Ramage, J. L., Irrgang, A. M., Herzschuh, U., Morgenstern, A., Couture, N.,
and Lantuit, H.: Terrain controls on the occurrence of coastal retrogressive
thaw slumps along the Yukon Coast, Canada, J. Geophys. Res.-Earth, 122, 1619–1634, https://doi.org/10.1002/2017jf004231, 2017.
Ran, Y., Li, X., Cheng, G., Che, J., Aalto, J., Karjalainen, O., Hjort, J., Luoto, M., Jin, H., Obu, J., Hori, M., Yu, Q., and Chang, X.: New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere, Earth Syst. Sci. Data, 14, 865–884, https://doi.org/10.5194/essd-14-865-2022, 2022.
Rantanen, M., Karpechko, A. Y., Lipponen, A., Nordling, K., Hyvärinen,
O., Ruosteenoja, K., Vihma, T., and Laaksonen, A.: The Arctic has warmed
nearly four times faster than the globe since 1979, Commun. Earth
Environ., 3, 168, https://doi.org/10.1038/s43247-022-00498-3, 2022.
Reichenbach, P., Rossi, M., Malamud, B. D., Mihir, M., and Guzzetti, F.: A
review of statistically-based landslide susceptibility models, Earth-Sci.
Rev., 180, 60–91, https://doi.org/10.1016/j.earscirev.2018.03.001, 2018.
Roberts, D. R., Bahn, V., Ciuti, S., Boyce, M. S., Elith, J.,
Guillera-Arroita, G., Hauenstein, S., Lahoz-Monfort, J. J., Schröder,
B., Thuiller, W., Warton, D. I., Wintle, B. A., Hartig, F., and Dormann, C.
F.: Cross-validation strategies for data with temporal, spatial,
hierarchical, or phylogenetic structure, Ecography, 40, 913–929,
https://doi.org/10.1111/ecog.02881, 2017.
Roccati, A., Paliaga, G., Luino, F., Faccini, F., and Turconi, L.: GIS-Based
Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment,
Land, 10, 162, https://doi.org/10.3390/land10020162, 2021.
Rossi, M., Cardinali, M., Fiorucci, F., Marchesini, I., Mondini, A. C.,
Santangelo, M., Ghosh, S., Riguer, D. E. L., Lahousse, T., Chang, K. T., and
Guzzetti, F.: A tool for the estimation of the distribution of landslide
area in R, EGU General Assembly, Vienna, Austria, 22–27 April 2012.
Rudy, A. C. A., Lamoureux, S. F., Treitz, P., and van Ewijk, K. Y.:
Transferability of regional permafrost disturbance susceptibility modelling
using generalized linear and generalized additive models, Geomorphology,
264, 95–108, https://doi.org/10.1016/j.geomorph.2016.04.011, 2016.
Rudy, A. C. A., Lamoureux, S. F., Treitz, P., Ewijk, K. V., Bonnaventure, P.
P., and Budkewitsch, P.: Terrain Controls and Landscape-Scale Susceptibility
Modelling of Active-Layer Detachments, Sabine Peninsula, Melville Island,
Nunavut, Permafrost Periglac. Process., 28, 79–91, https://doi.org/10.1002/ppp.1900,
2017.
Saha, A., Pal, S. C., Santosh, M., Janizadeh, S., Chowdhuri, I., Norouzi,
A., Roy, P., and Chakrabortty, R.: Modelling multi-hazard threats to
cultural heritage sites and environmental sustainability: The present and
future scenarios, J. Clean. Prod., 320, 128713,
https://doi.org/10.1016/j.jclepro.2021.128713, 2021.
Schaefer, K., Zhang, T., Bruhwiler, L., and Barrett, A. P.: Amount and
timing of permafrost carbon release in response to climate warming, Tellus
B, 63, 165–180, https://doi.org/10.1111/j.1600-0889.2011.00527.x, 2011.
Schmitt, R. G., Tanyas, H., Jessee, M. A. N., Zhu, J., Biegel, K. M.,
Allstadt, K. E., Jibson, R. W., van Westen, C. J., Sato, H. P., Wald, D. J.,
and Godt, J. W.: An open repository of earthquake-triggered ground-failure
inventories, U.S. Geological Survey, Reston, VA, USA, 17, https://doi.org/10.3133/ds1064,
2017.
Séjourné, A., Costard, F., Fedorov, A., Gargani, J., Skorve, J.,
Massé, M., and Mège, D.: Evolution of the banks of thermokarst lakes
in Central Yakutia (Central Siberia) due to retrogressive thaw slump
activity controlled by insolation, Geomorphology, 241, 31–40,
https://doi.org/10.1016/j.geomorph.2015.03.033, 2015.
Sidorchuk, A.: The Potential of Gully Erosion on the Yamal Peninsula, West
Siberia, Sustainability, 12, 260, https://doi.org/10.3390/su12010260, 2019.
Smith, S. L., O'Neill, H. B., Isaksen, K., Noetzli, J., and Romanovsky, V.
E.: The changing thermal state of permafrost, Nat. Rev. Earth Environ., 3,
10–23, https://doi.org/10.1038/s43017-021-00240-1, 2022.
Steger, S., Mair, V., Kofler, C., Pittore, M., Zebisch, M., and
Schneiderbauer, S.: Correlation does not imply geomorphic causation in
data-driven landslide susceptibility modelling - Benefits of exploring
landslide data collection effects, Sci. Total Environ., 776, 145935,
https://doi.org/10.1016/j.scitotenv.2021.145935, 2021.
Swanson, D. and Nolan, M.: Growth of Retrogressive Thaw Slumps in the Noatak
Valley, Alaska, 2010–2016, Measured by Airborne Photogrammetry, Remote
Sens., 10, 983, https://doi.org/10.3390/rs10070983, 2018.
Swanson, D. K.: Permafrost thaw-related slope failures in Alaska's Arctic
National Parks, c. 1980–2019, Permafrost Periglac. Process., 32,
392–406, https://doi.org/10.1002/ppp.2098, 2021.
Tanyaş, H., Allstadt, K. E., and van Westen, C. J.: An updated method
for estimating landslide-event magnitude, Earth Surf. Proc. Land., 43, 1836–1847, https://doi.org/10.1002/esp.4359, 2018.
Tanyaş, H., van Westen, C. J., Allstadt, K. E., Anna Nowicki Jessee, M.,
Görüm, T., Jibson, R. W., Godt, J. W., Sato, H. P., Schmitt, R. G.,
Marc, O., and Hovius, N.: Presentation and Analysis of a Worldwide Database
of Earthquake-Induced Landslide Inventories, J. Geophys.
Res.-Earth, 122, 1991–2015, https://doi.org/10.1002/2017jf004236, 2017.
ten Brink, U. S., Barkan, R., Andrews, B. D., and Chaytor, J. D.: Size
distributions and failure initiation of submarine and subaerial landslides,
Earth Planet. Sc. Lett., 287, 31–42, https://doi.org/10.1016/j.epsl.2009.07.031,
2009.
Titti, G., van Westen, C., Borgatti, L., Pasuto, A., and Lombardo, L.: When
Enough Is Really Enough? On the Minimum Number of Landslides to Build
Reliable Susceptibility Models, Geosciences, 11,
469, https://doi.org/10.3390/geosciences11110469, 2021.
Titti, G., Sarretta, A., Lombardo, L., Crema, S., Pasuto, A., and Borgatti,
L.: Mapping Susceptibility With Open-Source Tools: A New Plugin for QGIS,
Front. Earth Sci., 10, 842425, https://doi.org/10.3389/feart.2022.842425, 2022.
UN Department of Economic and Social Affairs: Agenda 21, United Nations Conference on Environment & Development Rio de Janerio, Brazil, 3 to 14 June 1992.
Veh, G.: On the cause of thermal erosion on ice-rich permafrost (Lena River
Delta/ Siberia), Mathematisch-Geographische Fakultät, Katholische
Universität Eichstätt-Ingolstadt, Potsdam, 112 pp., 2015.
Voigt, C., Marushchak, M. E., Mastepanov, M., Lamprecht, R. E., Christensen,
T. R., Dorodnikov, M., Jackowicz-Korczyński, M., Lindgren, A., Lohila,
A., and Nykänen, H.: Ecosystem carbon response of an Arctic peatland to
simulated permafrost thaw, Glob. Change Biol., 25, 1746–1764,
https://doi.org/10.1111/gcb.14574, 2019.
Ward Jones, M. K., Pollard, W. H., and Jones, B. M.: Rapid initialization of
retrogressive thaw slumps in the Canadian high Arctic and their response to
climate and terrain factors, Environ. Res. Lett., 14, 055006,
https://doi.org/10.1088/1748-9326/ab12fd, 2019.
Xia, Z., Huang, L., Fan, C., Jia, S., Lin, Z., Liu, L., Luo, J., Niu, F., and Zhang, T.: Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics, Earth Syst. Sci. Data, 14, 3875–3887, https://doi.org/10.5194/essd-14-3875-2022, 2022.
Yin, G., Luo, J., Niu, F., Lin, Z., and Liu, M.: Machine learning-based
thermokarst landslide susceptibility modeling across the permafrost region
on the Qinghai-Tibet Plateau, Landslides, 18, 2639–2649,
https://doi.org/10.1007/s10346-021-01669-7, 2021.
Ziaja, W.: Glacial Recession in Sorkappland and Central
Nordenskiolöland, Spitsbergen, Svalbard, during the 20th Century, Arct.
Antarct. Alp. Res., 33, 36–41, https://doi.org/10.1080/15230430.2001.12003402, 2001.
Ziaja, W.: Spitsbergen Landscape under 20thCentury Climate Change:
Sørkapp Land, AMBIO: A Journal of the Human Environment, 33, 295–299,
https://doi.org/10.1579/0044-7447-33.6.295, 2004.
Zwoliński, Z., Giżejewski, J., Karczewski, A., Kasprzak, M.,
Lankauf, K. R., Migoń, P., Pękala, K., Repelewska-Pękalowa, J.,
Rachlewicz, G., Sobota, I., Stankowski, W., and Zagórski, P.:
Geomorphological settings of Polish research areas on Spitsbergen, Landform
Analysis, 22, 125–143, https://doi.org/10.12657/landfana.022.011, 2013.
Short summary
Thaw slumps and thermo-erosion gullies are cryospheric hazards that are widely encountered in Nordenskiöld Land, the largest and most compact ice-free area of the Svalbard Archipelago. By statistically analysing the landscape characteristics of locations where these processes occurred, we can estimate where they may occur in the future. We mapped 562 thaw slumps and 908 thermo-erosion gullies and used them to create the first multi-hazard susceptibility map in a high-Arctic environment.
Thaw slumps and thermo-erosion gullies are cryospheric hazards that are widely encountered in...
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