Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 231–243, 2020
https://doi.org/10.5194/essd-12-231-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: Water, ecosystem, cryosphere, and climate data from the interior...
Earth Syst. Sci. Data, 12, 231–243, 2020
https://doi.org/10.5194/essd-12-231-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper 05 Feb 2020
Data description paper | 05 Feb 2020
Paleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western Canada
Andrew R. Slaughter and Saman Razavi
Related authors
David Gwapedza, Andrew Slaughter, Denis Hughes, and Sukhmani Mantel
Proc. IAHS, 377, 19–24, https://doi.org/10.5194/piahs-377-19-2018, https://doi.org/10.5194/piahs-377-19-2018, 2018
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The paper investigates the use of GIS to come up with model parameters. This is part of a process of simplifying model use. The findings show that existing GIS data can be used for estimating model parameters as the outcomes of the research show that model outputs are consistent with previously estimated measures. This research is part of a development of a model which can estimate soil loss and sediment delivery at broad spatial and temporal scales to improve catchment management.
Andrew R. Slaughter and Sukhmani K. Mantel
Proc. IAHS, 377, 25–33, https://doi.org/10.5194/piahs-377-25-2018, https://doi.org/10.5194/piahs-377-25-2018, 2018
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WQSAM is a water quality model designed specifically for South Africa as it relies on flow data generated by South African-specific flow models. However, many of the characteristics of WQSAM would make it suitable for other developing semi-arid countries. This study attempted to adapt WQSAM to take in flow data from the globally-applied WEAP flow model so that WQSAM can be applied elsewhere. WQSAM could effectively use the flow data from the WEAP model as demonstrated on a case-study catchment.
Chris M. DeBeer, Howard S. Wheater, John W. Pomeroy, Alan G. Barr, Jennifer L. Baltzer, Jill F. Johnstone, Merritt R. Turetsky, Ronald E. Stewart, Masaki Hayashi, Garth van der Kamp, Shawn Marshall, Elizabeth Campbell, Philip Marsh, Sean K. Carey, William L. Quinton, Yanping Li, Saman Razavi, Aaron Berg, Jeffrey J. McDonnell, Christopher Spence, Warren D. Helgason, Andrew M. Ireson, T. Andrew Black, Mohamed Elshamy, Fuad Yassin, Bruce Davison, Allan Howard, Julie M. Thériault, Kevin Shook, Michael N. Demuth, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021, https://doi.org/10.5194/hess-25-1849-2021, 2021
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This article examines future changes in land cover and hydrological cycling across the interior of western Canada under climate conditions projected for the 21st century. Key insights into the mechanisms and interactions of Earth system and hydrological process responses are presented, and this understanding is used together with model application to provide a synthesis of future change. This has allowed more scientifically informed projections than have hitherto been available.
Mohamed E. Elshamy, Daniel Princz, Gonzalo Sapriza-Azuri, Mohamed S. Abdelhamed, Al Pietroniro, Howard S. Wheater, and Saman Razavi
Hydrol. Earth Syst. Sci., 24, 349–379, https://doi.org/10.5194/hess-24-349-2020, https://doi.org/10.5194/hess-24-349-2020, 2020
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Permafrost is an important feature of cold-region hydrology and needs to be properly represented in hydrological and land surface models (H-LSMs), especially under the observed and expected climate warming trends. This study aims to devise a robust, yet computationally efficient, initialization and parameterization approach for permafrost. We used permafrost observations from three sites along the Mackenzie River valley spanning different permafrost classes to test the validity of the approach.
Razi Sheikholeslami, Saman Razavi, and Amin Haghnegahdar
Geosci. Model Dev., 12, 4275–4296, https://doi.org/10.5194/gmd-12-4275-2019, https://doi.org/10.5194/gmd-12-4275-2019, 2019
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The ever-growing complexity of Earth and environmental system models can pose many types of software development and implementation issues such as parameter-induced simulation crashes, which are mainly caused by the violation of numerical stability conditions. Here, we introduce a new approach to handle crashed simulations when performing sensitivity analysis. Our results show that this approach can comply well with the dimensionality of the model, sample size, and the number of crashes.
Fuad Yassin, Saman Razavi, Mohamed Elshamy, Bruce Davison, Gonzalo Sapriza-Azuri, and Howard Wheater
Hydrol. Earth Syst. Sci., 23, 3735–3764, https://doi.org/10.5194/hess-23-3735-2019, https://doi.org/10.5194/hess-23-3735-2019, 2019
Fuad Yassin, Saman Razavi, Jefferson S. Wong, Alain Pietroniro, and Howard Wheater
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-207, https://doi.org/10.5194/hess-2019-207, 2019
Preprint withdrawn
Gonzalo Sapriza-Azuri, Pablo Gamazo, Saman Razavi, and Howard S. Wheater
Hydrol. Earth Syst. Sci., 22, 3295–3309, https://doi.org/10.5194/hess-22-3295-2018, https://doi.org/10.5194/hess-22-3295-2018, 2018
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Arctic and subarctic regions are amongst the most susceptible regions on Earth to climate change. There, models require a proper representation of the interactions between climate and hydrology. Typically these model represent the soil with shallow depths, whereas for cold regions, deep soil is needed. To address this, we run model experiments to characterize the effect of soil depth and temperature soil initialization. Our results demonstrate that 20 m of soil profile is essential.
Zilefac Elvis Asong, Howard Simon Wheater, Barrie Bonsal, Saman Razavi, and Sopan Kurkute
Hydrol. Earth Syst. Sci., 22, 3105–3124, https://doi.org/10.5194/hess-22-3105-2018, https://doi.org/10.5194/hess-22-3105-2018, 2018
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Canada is very susceptible to recurrent droughts, which have damaging impacts on regional water resources and agriculture. However, nationwide drought assessments are currently lacking and impacted by limited ground-based observations. We delineate two major drought regions (Prairies and northern central) over Canada and link drought characteristics to external factors of climate variability. This study helps to determine when the drought events occur, their duration, and how often they occur.
David Gwapedza, Andrew Slaughter, Denis Hughes, and Sukhmani Mantel
Proc. IAHS, 377, 19–24, https://doi.org/10.5194/piahs-377-19-2018, https://doi.org/10.5194/piahs-377-19-2018, 2018
Short summary
Short summary
The paper investigates the use of GIS to come up with model parameters. This is part of a process of simplifying model use. The findings show that existing GIS data can be used for estimating model parameters as the outcomes of the research show that model outputs are consistent with previously estimated measures. This research is part of a development of a model which can estimate soil loss and sediment delivery at broad spatial and temporal scales to improve catchment management.
Andrew R. Slaughter and Sukhmani K. Mantel
Proc. IAHS, 377, 25–33, https://doi.org/10.5194/piahs-377-25-2018, https://doi.org/10.5194/piahs-377-25-2018, 2018
Short summary
Short summary
WQSAM is a water quality model designed specifically for South Africa as it relies on flow data generated by South African-specific flow models. However, many of the characteristics of WQSAM would make it suitable for other developing semi-arid countries. This study attempted to adapt WQSAM to take in flow data from the globally-applied WEAP flow model so that WQSAM can be applied elsewhere. WQSAM could effectively use the flow data from the WEAP model as demonstrated on a case-study catchment.
Jefferson S. Wong, Saman Razavi, Barrie R. Bonsal, Howard S. Wheater, and Zilefac E. Asong
Hydrol. Earth Syst. Sci., 21, 2163–2185, https://doi.org/10.5194/hess-21-2163-2017, https://doi.org/10.5194/hess-21-2163-2017, 2017
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This study was conducted to quantify the spatial and temporal variability of the errors associated with various gridded precipitation products in Canada. Overall, WFDEI [GPCC] and CaPA performed best with respect to different performance measures, followed by ANUSPLIN and WEDEI [CRU]. Princeton and NARR demonstrated the lowest quality. Comparing the climate model-simulated products, PCIC ensembles generally performed better than NA-CORDEX ensembles in terms of reliability in four seasons.
Related subject area
Hydrology and Soil Science – Hydrology
Two decades of distributed global radiation time series across a mountainous semiarid area (Sierra Nevada, Spain)
Inventory of dams in Germany
Country-level and gridded estimates of wastewater production, collection, treatment and reuse
Dataset of Georeferenced Dams in South America (DDSA)
The impact of landscape evolution on soil physics: evolution of soil physical and hydraulic properties along two chronosequences of proglacial moraines
Historical cartographic and topo-bathymetric database on the French Rhône River (17th–20th centuries)
The CH-IRP data set: a decade of fortnightly data on δ2H and δ18O in streamflow and precipitation in Switzerland
The African Database of Hydrometric Indices (ADHI)
Dynamics of shallow wakes on gravel-bed floodplains: Data set from field experiments
Virtual water trade and water footprint of agricultural goods: the 1961–2016 CWASI database
COSMOS-UK: National soil moisture and hydrometeorology data for empowering UK environmental science
CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
GloFAS-ERA5 operational global river discharge reanalysis 1979–present
A Canadian River Ice Database from the National Hydrometric Program Archives
An integration of gauge, satellite, and reanalysis precipitation datasets for the largest river basin of the Tibetan Plateau
SoilKsatDB: global soil saturated hydraulic conductivity measurements for geoscience applications
Towards harmonisation of image velocimetry techniques for river surface velocity observations
AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE
Vegetation, ground cover, soil, rainfall simulation, and overland-flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the hydrology component of the Sagebrush Steppe Treatment Evaluation Project (SageSTEP)
Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018
Data for wetlandscapes and their changes around the world
Measurements of the water balance components of a large green roof in the greater Paris area
A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces
A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China
Runoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western Germany
Global River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologic community
An Arctic watershed observatory at Lake Peters, Alaska: weather–glacier–river–lake system data for 2015–2018
GRUN: an observation-based global gridded runoff dataset from 1902 to 2014
SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations
Co-located contemporaneous mapping of morphological, hydrological, chemical, and biological conditions in a 5th-order mountain stream network, Oregon, USA
Hydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La Plata
Fifty years of recorded hillslope runoff on seasonally frozen ground: the Swift Current, Saskatchewan, Canada, dataset
Monitoring ephemeral, intermittent and perennial streamflow: a dataset from 182 sites in the Attert catchment, Luxembourg
GRACE-REC: a reconstruction of climate-driven water storage changes over the last century
Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing
An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada
Meteorological, soil moisture, surface water, and groundwater data from the St. Denis National Wildlife Area, Saskatchewan, Canada
Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data
The Guadalfeo Monitoring Network (Sierra Nevada, Spain): 14 years of measurements to understand the complexity of snow dynamics in semiarid regions
Multi-source global wetland maps combining surface water imagery and groundwater constraints
Lake O'Hara alpine hydrological observatory: hydrological and meteorological dataset, 2004–2017
A long-term hydrometeorological dataset (1993–2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada
A database of water and heat observations over grassland in the north-east of Japan
Spatially distributed water-balance and meteorological data from the Wolverton catchment, Sequoia National Park, California
Spatially distributed water-balance and meteorological data from the rain–snow transition, southern Sierra Nevada, California
Hydrometeorological data from Baker Creek Research Watershed, Northwest Territories, Canada
Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform
Estimating the thickness of unconsolidated coastal aquifers along the global coastline
Cristina Aguilar, Rafael Pimentel, and María J. Polo
Earth Syst. Sci. Data, 13, 1335–1359, https://doi.org/10.5194/essd-13-1335-2021, https://doi.org/10.5194/essd-13-1335-2021, 2021
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This work presents the reconstruction of 19 years of daily, monthly, and annual global radiation maps in Sierra Nevada (Spain) derived using daily historical records from weather stations in the area and a modeling scheme that captures the topographic effects that constitute the main sources of the spatial and temporal variability of solar radiation. The generated datasets are valuable in different fields, such as hydrology, ecology, or energy production systems downstream.
Gustavo Andrei Speckhann, Heidi Kreibich, and Bruno Merz
Earth Syst. Sci. Data, 13, 731–740, https://doi.org/10.5194/essd-13-731-2021, https://doi.org/10.5194/essd-13-731-2021, 2021
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Dams are an important element of water resources management. Data about dams are crucial for practitioners, scientists, and policymakers. We present the most comprehensive open-access dam inventory for Germany to date. The inventory combines multiple sources of information. It comprises 530 dams with information on name, location, river, start year of construction and operation, crest length, dam height, lake area, lake volume, purpose, dam structure, and building characteristics.
Edward R. Jones, Michelle T. H. van Vliet, Manzoor Qadir, and Marc F. P. Bierkens
Earth Syst. Sci. Data, 13, 237–254, https://doi.org/10.5194/essd-13-237-2021, https://doi.org/10.5194/essd-13-237-2021, 2021
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Continually improving and affordable wastewater management provides opportunities for both pollution reduction and clean water supply augmentation. This study provides a global outlook on the state of domestic and industrial wastewater production, collection, treatment and reuse. Our results can serve as a baseline in evaluating progress towards policy goals (e.g. Sustainable Development Goals) and as input data in large-scale water resource assessments (e.g. water quality modelling).
Bolivar Paredes-Beltran, Alvaro Sordo-Ward, and Luis Garrote
Earth Syst. Sci. Data, 13, 213–229, https://doi.org/10.5194/essd-13-213-2021, https://doi.org/10.5194/essd-13-213-2021, 2021
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We present a dataset of 1010 entries of dams in South America describing several attributes such as the dams' names, characteristics, purposes, georeferenced locations and also relevant data on the dams' catchments. Information was obtained from extensive research through numerous sources and then validated individually.
With this work we expect to contribute to the development of new research in the region, which to date has been limited to certain basins due to the absence of information.
Anne Hartmann, Markus Weiler, and Theresa Blume
Earth Syst. Sci. Data, 12, 3189–3204, https://doi.org/10.5194/essd-12-3189-2020, https://doi.org/10.5194/essd-12-3189-2020, 2020
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Our analysis of soil physical and hydraulic properties across two soil chronosequences of 10 millennia in the Swiss Alps provides important observation of the evolution of soil hydraulic behavior. A strong co-evolution of soil physical and hydraulic properties was revealed by the observed change of fast-draining coarse-textured soils to slow-draining soils with a high water-holding capacity in correlation with a distinct change in structural properties and organic matter content.
Fanny Arnaud, Lalandy Sehen Chanu, Jules Grillot, Jérémie Riquier, Hervé Piégay, Dad Roux-Michollet, Georges Carrel, and Jean-Michel Olivier
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-274, https://doi.org/10.5194/essd-2020-274, 2020
Revised manuscript accepted for ESSD
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This article provides a database of 350 cartographic and topographic resources on the 530-km-long French Rhône River, compiled from the 17th to mid-20th century in 14 national, regional, and departmental archive services. The database has several potential applications in geomorphology, retrospective hydraulic modelling, historical ecology, and sustainable river management and restoration, as well as permitting comparisons of channel changes with other large and human-impacted rivers worldwide.
Maria Staudinger, Stefan Seeger, Barbara Herbstritt, Michael Stoelzle, Jan Seibert, Kerstin Stahl, and Markus Weiler
Earth Syst. Sci. Data, 12, 3057–3066, https://doi.org/10.5194/essd-12-3057-2020, https://doi.org/10.5194/essd-12-3057-2020, 2020
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The data set CH-IRP provides isotope composition in precipitation and streamflow from 23 Swiss catchments, being unique regarding its long-term multi-catchment coverage along an alpine–pre-alpine gradient. CH-IRP contains fortnightly time series of stable water isotopes from streamflow grab samples complemented by time series in precipitation. Sampling conditions, catchment and climate information, lab standards and errors are provided together with areal precipitation and catchment boundaries.
Yves Tramblay, Nathalie Rouché, Jean-Emmanuel Paturel, Gil Mahé, Jean-François Boyer, Ernest Amoussou, Ansoumana Bodian, Honoré Dacosta, Hamouda Dakhlaoui, Alain Dezetter, Denis Hughes, Lahoucine Hanich, Christophe Peugeot, Raphael Tshimanga, and Patrick Lachassagne
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-281, https://doi.org/10.5194/essd-2020-281, 2020
Revised manuscript accepted for ESSD
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This dataset provides a set of hydrometric indices for about 1500 stations across Africa with daily discharge data. These indices are representing mean flow characteristics and extremes (low flows and floods), allowing to study the long-term evolution of hydrology in Africa and support the modelling efforts that aim at reducing the vulnerability of African countries to hydro-climatic variability.
Oleksandra O. Shumilova, Alexander N. Sukhodolov, George S. Constantinescu, and Bruce J. MacVicar
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-221, https://doi.org/10.5194/essd-2020-221, 2020
Revised manuscript accepted for ESSD
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Obstructions (vegetation/boulders) located on a riverbed alter flow structure, affect riverbed morphology and biodiversity. We studied flow dynamics around obstructions by carrying out experiments in a gravel-bed river. Flow rates, size, submergence and solid fractions of the obstructions were varied in a set of 30 experimental runs, in which high-resolution patterns of mean and turbulent flow were obtained. An introduction to the experiments is presented by a video https://youtu.be/5wXjvzqxONI.
Stefania Tamea, Marta Tuninetti, Irene Soligno, and Francesco Laio
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-226, https://doi.org/10.5194/essd-2020-226, 2020
Revised manuscript accepted for ESSD
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The database includes water footprint and virtual water trade data for hundreds of agricultural goods and for all countries, covering a minimum period of 30 years. Data improve upon earlier datasets because of the annual variability of data and the tracing of goods' origin within the international trade. The CWASI database aims at supporting national and global assessments of water use in agriculture and food production/consumption, and welcomes contributions from the research community.
Hollie M. Cooper, Emma Bennett, James Blake, Eleanor Blyth, David Boorman, Elizabeth Cooper, Matthew Fry, Alan Jenkins, Ross Morrison, Daniel Rylett, Simon Stanley, Magdalena Szczykulska, and Emily Trill
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-287, https://doi.org/10.5194/essd-2020-287, 2020
Revised manuscript accepted for ESSD
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COSMOS-UK is a UK network of environmental-monitoring sites, with a focus on measuring field scale soil moisture. Each site includes soil and hydrometeorological sensors providing data including air temperature, humidity, net radiation, neutron counts, snow water equivalent and potential evaporation. These data can provide information for science, industry and agriculture by improving existing understanding and data products in fields such as water resources, space sciences and biodiversity.
Gemma Coxon, Nans Addor, John P. Bloomfield, Jim Freer, Matt Fry, Jamie Hannaford, Nicholas J. K. Howden, Rosanna Lane, Melinda Lewis, Emma L. Robinson, Thorsten Wagener, and Ross Woods
Earth Syst. Sci. Data, 12, 2459–2483, https://doi.org/10.5194/essd-12-2459-2020, https://doi.org/10.5194/essd-12-2459-2020, 2020
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We present the first large-sample catchment hydrology dataset for Great Britain. The dataset collates river flows, catchment attributes, and catchment boundaries for 671 catchments across Great Britain. We characterise the topography, climate, streamflow, land cover, soils, hydrogeology, human influence, and discharge uncertainty of each catchment. The dataset is publicly available for the community to use in a wide range of environmental and modelling analyses.
Benjamin Fersch, Till Francke, Maik Heistermann, Martin Schrön, Veronika Döpper, Jannis Jakobi, Gabriele Baroni, Theresa Blume, Heye Bogena, Christian Budach, Tobias Gränzig, Michael Förster, Andreas Güntner, Harrie-Jan Hendricks Franssen, Mandy Kasner, Markus Köhli, Birgit Kleinschmit, Harald Kunstmann, Amol Patil, Daniel Rasche, Lena Scheiffele, Ulrich Schmidt, Sandra Szulc-Seyfried, Jannis Weimar, Steffen Zacharias, Marek Zreda, Bernd Heber, Ralf Kiese, Vladimir Mares, Hannes Mollenhauer, Ingo Völksch, and Sascha Oswald
Earth Syst. Sci. Data, 12, 2289–2309, https://doi.org/10.5194/essd-12-2289-2020, https://doi.org/10.5194/essd-12-2289-2020, 2020
Vinícius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and Vinícius A. Siqueira
Earth Syst. Sci. Data, 12, 2075–2096, https://doi.org/10.5194/essd-12-2075-2020, https://doi.org/10.5194/essd-12-2075-2020, 2020
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We present a new dataset for large-sample hydrological studies in Brazil. The dataset encompasses daily observed streamflow from 3679 gauges, as well as meteorological forcing for 897 selected catchments. It also includes 65 attributes covering topographic, climatic, hydrologic, land cover, geologic, soil, and human intervention variables. CAMELS-BR is publicly available and will enable new insights into the hydrological behavior of catchments in Brazil.
Shaun Harrigan, Ervin Zsoter, Lorenzo Alfieri, Christel Prudhomme, Peter Salamon, Fredrik Wetterhall, Christopher Barnard, Hannah Cloke, and Florian Pappenberger
Earth Syst. Sci. Data, 12, 2043–2060, https://doi.org/10.5194/essd-12-2043-2020, https://doi.org/10.5194/essd-12-2043-2020, 2020
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A new river discharge reanalysis dataset is produced operationally by coupling ECMWF's latest global atmospheric reanalysis, ERA5, with the hydrological modelling component of the Global Flood Awareness System (GloFAS). The GloFAS-ERA5 reanalysis is a global gridded dataset with a horizontal resolution of 0.1° at a daily time step and is freely available from 1979 until near real time. The evaluation against observations shows that the GloFAS-ERA5 reanalysis was skilful in 86 % of catchments.
Laurent de Rham, Yonas Dibike, Spyros Beltaos, Daniel Peters, Barrie Bonsal, and Terry Prowse
Earth Syst. Sci. Data, 12, 1835–1860, https://doi.org/10.5194/essd-12-1835-2020, https://doi.org/10.5194/essd-12-1835-2020, 2020
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This paper describes the Canadian River Ice Database. Water level recordings at a network of 196 National Hydrometric Program gauging sites over the period 1894–2015 were reviewed. This database, of nearly 73 000 recorded variables and over 460 000 data entries, includes the timing and magnitude of fall freeze-up, midwinter break-up, winter minimum, ice thickness, spring break-up and maximum open-water levels. These data cover the range of river types and climate regions for Canada.
Yuanwei Wang, Lei Wang, Xiuping Li, Jing Zhou, and Zhidan Hu
Earth Syst. Sci. Data, 12, 1789–1803, https://doi.org/10.5194/essd-12-1789-2020, https://doi.org/10.5194/essd-12-1789-2020, 2020
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This article is to provide a better precipitation product for the largest river basin of the Tibetan Plateau, the upper Brahmaputra River basin, suitable for use in hydrological simulations and other climate change studies. We integrate gauge, satellite, and reanalysis precipitation datasets to generate a new dataset. The new product has been rigorously validated at various temporal and spatial scales with gauge precipitation observations as well as in cryosphere hydrological simulations.
Surya Gupta, Tomislav Hengl, Peter Lehmann, Sara Bonetti, and Dani Or
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-149, https://doi.org/10.5194/essd-2020-149, 2020
Revised manuscript accepted for ESSD
Matthew T. Perks, Silvano Fortunato Dal Sasso, Alexandre Hauet, Elizabeth Jamieson, Jérôme Le Coz, Sophie Pearce, Salvador Peña-Haro, Alonso Pizarro, Dariia Strelnikova, Flavia Tauro, James Bomhof, Salvatore Grimaldi, Alain Goulet, Borbála Hortobágyi, Magali Jodeau, Sabine Käfer, Robert Ljubičić, Ian Maddock, Peter Mayr, Gernot Paulus, Lionel Pénard, Leigh Sinclair, and Salvatore Manfreda
Earth Syst. Sci. Data, 12, 1545–1559, https://doi.org/10.5194/essd-12-1545-2020, https://doi.org/10.5194/essd-12-1545-2020, 2020
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We present datasets acquired from seven countries across Europe and North America consisting of image sequences. These have been subjected to a range of pre-processing methods in preparation for image velocimetry analysis. These datasets and accompanying reference data are a resource that may be used for conducting benchmarking experiments, assessing algorithm performances, and focusing future software development.
Ziqiang Ma, Jintao Xu, Siyu Zhu, Jun Yang, Guoqiang Tang, Yuanjian Yang, Zhou Shi, and Yang Hong
Earth Syst. Sci. Data, 12, 1525–1544, https://doi.org/10.5194/essd-12-1525-2020, https://doi.org/10.5194/essd-12-1525-2020, 2020
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Focusing on the potential drawbacks in generating the state-of-the-art IMERG data in both the TRMM and GPM era, a new daily calibration algorithm on IMERG was proposed, as well as a new AIMERG precipitation dataset (0.1°/half-hourly, 2000–2015, Asia) with better quality than IMERG for Asian scientific research and applications. The proposed daily calibration algorithm for GPM is promising and applicable in generating the future IMERG in either an operational scheme or a retrospective manner.
C. Jason Williams, Frederick B. Pierson, Patrick R. Kormos, Osama Z. Al-Hamdan, and Justin C. Johnson
Earth Syst. Sci. Data, 12, 1347–1365, https://doi.org/10.5194/essd-12-1347-2020, https://doi.org/10.5194/essd-12-1347-2020, 2020
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Data were collected at three sites over 10 years to evaluate ecologic impacts of tree encroachment on rangelands and assess impacts of tree-removal practices on vegetation, surface conditions, and hydrologic/erosion processes. The dataset includes 1300 rainfall simulation and 838 overland-flow experiments paired with vegetation, surface cover, and soil data across point to hillslope scales. The data advance hydrology/erosion process understanding and are a source for model development/testing.
Riccardo Tortini, Nina Noujdina, Samantha Yeo, Martina Ricko, Charon M. Birkett, Ankush Khandelwal, Vipin Kumar, Miriam E. Marlier, and Dennis P. Lettenmaier
Earth Syst. Sci. Data, 12, 1141–1151, https://doi.org/10.5194/essd-12-1141-2020, https://doi.org/10.5194/essd-12-1141-2020, 2020
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We present a global collection of satellite-derived time series of surface water volume changes for 347 lakes and reservoirs for 1992–2018. These changes were estimated using a statistical relationship between water surface elevation and area measured from satellite, even during periods when either elevation or area was not available. These records represent the most complete global surface water time series, and they are of fundamental importance to baseline future satellite missions.
Navid Ghajarnia, Georgia Destouni, Josefin Thorslund, Zahra Kalantari, Imenne Åhlén, Jesús A. Anaya-Acevedo, Juan F. Blanco-Libreros, Sonia Borja, Sergey Chalov, Aleksandra Chalova, Kwok P. Chun, Nicola Clerici, Amanda Desormeaux, Bethany B. Garfield, Pierre Girard, Olga Gorelits, Amy Hansen, Fernando Jaramillo, Jerker Jarsjö, Adnane Labbaci, John Livsey, Giorgos Maneas, Kathryn McCurley Pisarello, Sebastián Palomino-Ángel, Jan Pietroń, René M. Price, Victor H. Rivera-Monroy, Jorge Salgado, A. Britta K. Sannel, Samaneh Seifollahi-Aghmiuni, Ylva Sjöberg, Pavel Terskii, Guillaume Vigouroux, Lucia Licero-Villanueva, and David Zamora
Earth Syst. Sci. Data, 12, 1083–1100, https://doi.org/10.5194/essd-12-1083-2020, https://doi.org/10.5194/essd-12-1083-2020, 2020
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Hydroclimate and land-use conditions determine the dynamics of wetlands and their ecosystem services. However, knowledge and data for conditions and changes over entire wetlandscapes are scarce. This paper presents a novel database for 27 wetlandscapes around the world, combining survey-based local information and hydroclimatic and land-use datasets. The developed database can enhance our capacity to understand and manage critical wetland ecosystems and their services under global change.
Pierre-Antoine Versini, Filip Stanic, Auguste Gires, Daniel Schertzer, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 12, 1025–1035, https://doi.org/10.5194/essd-12-1025-2020, https://doi.org/10.5194/essd-12-1025-2020, 2020
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The Blue Green Wave of Champs-sur-Marne (1 ha, France) has been converted into a full-scale monitoring site devoted to studying the uses of green infrastructure in storm-water management. For this purpose, the components of the water balance have been monitored: rainfall, water content in the substrate, and discharge. These measurements are useful to better understand the processes (infiltration and retention) in hydrological performance and spatial variability.
Axel Schaffitel, Tobias Schuetz, and Markus Weiler
Earth Syst. Sci. Data, 12, 501–517, https://doi.org/10.5194/essd-12-501-2020, https://doi.org/10.5194/essd-12-501-2020, 2020
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This paper contains detailed information about the instrumentation of permeable pavements with soil moisture sensors and the performance of infiltration experiments on these surfaces. The collected data are beneficial for studying urban water and energy cycles. They contain valuable information about the hydrological behavior of permeable pavements and urban subsurface heat anomalies. Due to the lack of similar data, we are convinced that the dataset is of great scientific value.
Chao Gao, Buda Su, Valentina Krysanova, Qianyu Zha, Cai Chen, Gang Luo, Xiaofan Zeng, Jinlong Huang, Ming Xiong, Liping Zhang, and Tong Jiang
Earth Syst. Sci. Data, 12, 387–402, https://doi.org/10.5194/essd-12-387-2020, https://doi.org/10.5194/essd-12-387-2020, 2020
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The study produced the daily discharge time series for the upper Yangtze River basin (Cuntan hydrological station) in the period 1861–2299 under scenarios with and without anthropogenic climate change. The daily discharge was simulated by using four hydrological models (HBV, SWAT, SWIM and VIC) driven by multiple GCM outputs. This dataset could be compared to assess changes in river discharge in the upper Yangtze River basin attributable to anthropogenic climate change.
Fabian Ries, Lara Kirn, and Markus Weiler
Earth Syst. Sci. Data, 12, 245–255, https://doi.org/10.5194/essd-12-245-2020, https://doi.org/10.5194/essd-12-245-2020, 2020
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Pluvial or flash floods generated by heavy precipitation events cause large economic damage and loss of life worldwide. As discharge observations from such extreme occurrences are rare, data from artificial sprinkling experiments offer valuable information on runoff generation processes, overland and subsurface flow rates, and response times. A extensive data set from 132 large-scale sprinkling experiments in Germany is described and presented in this paper.
Stephen Coss, Michael Durand, Yuchan Yi, Yuanyuan Jia, Qi Guo, Stephen Tuozzolo, C. K. Shum, George H. Allen, Stéphane Calmant, and Tamlin Pavelsky
Earth Syst. Sci. Data, 12, 137–150, https://doi.org/10.5194/essd-12-137-2020, https://doi.org/10.5194/essd-12-137-2020, 2020
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We present a new radar-altimeter-satellite-measured river surface height dataset. Our novel approach is broadly applicable rather than location specific. We were able to measure rivers that account for > 34 % of global drainage area with an accuracy comparable to much of the established literature. 389 of our 932 measurement locations include river gage validation. We have focused our efforts on creating a consistent, well-documented data product to encourage use by the broader science community.
Ellie Broadman, Lorna L. Thurston, Erik Schiefer, Nicholas P. McKay, David Fortin, Jason Geck, Michael G. Loso, Matt Nolan, Stéphanie H. Arcusa, Christopher W. Benson, Rebecca A. Ellerbroek, Michael P. Erb, Cody C. Routson, Charlotte Wiman, A. Jade Wong, and Darrell S. Kaufman
Earth Syst. Sci. Data, 11, 1957–1970, https://doi.org/10.5194/essd-11-1957-2019, https://doi.org/10.5194/essd-11-1957-2019, 2019
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Rapid climate warming is impacting physical processes in Arctic environments. Glacier–fed lakes are influenced by many of these processes, and they are impacted by the changing behavior of weather, glaciers, and rivers. We present data from weather stations, river gauging stations, lake moorings, and more, following 4 years of environmental monitoring in the watershed of Lake Peters, a glacier–fed lake in Arctic Alaska. These data can help us study the changing dynamics of this remote setting.
Gionata Ghiggi, Vincent Humphrey, Sonia I. Seneviratne, and Lukas Gudmundsson
Earth Syst. Sci. Data, 11, 1655–1674, https://doi.org/10.5194/essd-11-1655-2019, https://doi.org/10.5194/essd-11-1655-2019, 2019
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Freshwater resources are of high societal relevance and understanding their past variability is vital to water management in the context of current and future climatic change. This study introduces GRUN: the first global gridded monthly reconstruction of runoff covering the period from 1902 to 2014. The dataset agrees on average much better with the streamflow observations than an ensemble of 13 state-of-the-art global hydrological models and will foster the understanding of freshwater dynamics.
Luca Brocca, Paolo Filippucci, Sebastian Hahn, Luca Ciabatta, Christian Massari, Stefania Camici, Lothar Schüller, Bojan Bojkov, and Wolfgang Wagner
Earth Syst. Sci. Data, 11, 1583–1601, https://doi.org/10.5194/essd-11-1583-2019, https://doi.org/10.5194/essd-11-1583-2019, 2019
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SM2RAIN–ASCAT is a new 12-year (2007–2018) global-scale rainfall dataset obtained by applying the SM2RAIN algorithm to ASCAT soil moisture data. The dataset has a spatiotemporal sampling resolution of 12.5 km and 1 d. Results show that the new dataset performs particularly well in Africa and South America, i.e. in the continents in which ground observations are scarce and the need for satellite rainfall data is high. SM2RAIN–ASCAT is available at http://doi.org/10.5281/zenodo.340556.
Adam S. Ward, Jay P. Zarnetske, Viktor Baranov, Phillip J. Blaen, Nicolai Brekenfeld, Rosalie Chu, Romain Derelle, Jennifer Drummond, Jan H. Fleckenstein, Vanessa Garayburu-Caruso, Emily Graham, David Hannah, Ciaran J. Harman, Skuyler Herzog, Jase Hixson, Julia L. A. Knapp, Stefan Krause, Marie J. Kurz, Jörg Lewandowski, Angang Li, Eugènia Martí, Melinda Miller, Alexander M. Milner, Kerry Neil, Luisa Orsini, Aaron I. Packman, Stephen Plont, Lupita Renteria, Kevin Roche, Todd Royer, Noah M. Schmadel, Catalina Segura, James Stegen, Jason Toyoda, Jacqueline Wells, Nathan I. Wisnoski, and Steven M. Wondzell
Earth Syst. Sci. Data, 11, 1567–1581, https://doi.org/10.5194/essd-11-1567-2019, https://doi.org/10.5194/essd-11-1567-2019, 2019
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Studies of river corridor exchange commonly focus on characterization of the physical, chemical, or biological system. As a result, complimentary systems and context are often lacking, which may limit interpretation. Here, we present a characterization of all three systems at 62 sites in a 5th-order river basin, including samples of surface water, hyporheic water, and sediment. These data will allow assessment of interacting processes in the river corridor.
Michal Mikolaj, Andreas Güntner, Claudio Brunini, Hartmut Wziontek, Mauricio Gende, Stephan Schröder, Augusto M. Cassino, Alfredo Pasquaré, Marvin Reich, Anne Hartmann, Fernando A. Oreiro, Jonathan Pendiuk, Luis Guarracino, and Ezequiel D. Antokoletz
Earth Syst. Sci. Data, 11, 1501–1513, https://doi.org/10.5194/essd-11-1501-2019, https://doi.org/10.5194/essd-11-1501-2019, 2019
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We present the first continuous measurements of hydrological, meteorological, and gravity variables at the Argentine-German Geodetic Observatory (AGGO) close to La Plata, Argentina, for the period 2016–2018. The data may be used by both scientists and local authorities to correct other geodetic observations at the observatory, to monitor environmental changes, or to quantify extreme events such as floods and droughts in the La Plata region.
Anna E. Coles, Jeffrey J. McDonnell, and Brian G. McConkey
Earth Syst. Sci. Data, 11, 1375–1383, https://doi.org/10.5194/essd-11-1375-2019, https://doi.org/10.5194/essd-11-1375-2019, 2019
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Long hydrological records from cold regions with seasonally frozen ground are rare. This paper presents a 50-year dataset from a site (the Swift Current hillslopes) on the Canadian Prairies. The dataset includes information on runoff, soil and water nutrient concentrations, snowpack, soil moisture, agricultural practices and topography. This is a valuable resource for water management and sustainability research, particularly for understanding land use and climate change impacts in cold regions.
Nils Hinrich Kaplan, Ernestine Sohrt, Theresa Blume, and Markus Weiler
Earth Syst. Sci. Data, 11, 1363–1374, https://doi.org/10.5194/essd-11-1363-2019, https://doi.org/10.5194/essd-11-1363-2019, 2019
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Different sensing techniques including time-lapse imagery, electric conductivity and stage measurements were used to generate a combined dataset of the presence and absence of streamflow within a large number of nested sub-catchments in the Attert catchment, Luxembourg. The first sites of observation were established in 2013 and successively extended to a total number of 182 in 2016. The dataset can be used to improve understanding of the temporal and spatial dynamics of the stream network.
Vincent Humphrey and Lukas Gudmundsson
Earth Syst. Sci. Data, 11, 1153–1170, https://doi.org/10.5194/essd-11-1153-2019, https://doi.org/10.5194/essd-11-1153-2019, 2019
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Because changes in freshwater availability can impact many natural ecosystems and human activities, it is crucial to better understand long-term changes in the water cycle. This dataset is a reconstruction of past changes in land water storage over the last century, obtained by combining satellite observations with historical weather data. It can be used to investigate both regional changes in freshwater availability or drought frequency and long-term changes in the global water cycle.
Jiawei Hou, Albert I. J. M. van Dijk, Luigi J. Renzullo, Robert A. Vertessy, and Norman Mueller
Earth Syst. Sci. Data, 11, 1003–1015, https://doi.org/10.5194/essd-11-1003-2019, https://doi.org/10.5194/essd-11-1003-2019, 2019
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Hydromorphological data including temporal and spatial river width dynamics, flow regime, and river gradient for 1.4 x 106 Australian river reaches are presented. We propose a parameter which can be used to classify reaches by the degree to which flow regime tends towards permanent, frequent, intermittent, or ephemeral. This dataset provides fundamental information for understanding hydrological, biogeochemical, and ecological processes in floodplain–river systems.
Erica Tetlock, Brenda Toth, Aaron Berg, Tracy Rowlandson, and Jaison Thomas Ambadan
Earth Syst. Sci. Data, 11, 787–796, https://doi.org/10.5194/essd-11-787-2019, https://doi.org/10.5194/essd-11-787-2019, 2019
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Soil moisture and precipitation have been monitored in the Brightwater Creek basin, east of Kenaston, Saskatchewan, since 2007. Soil moisture, soil temperature, and precipitation data from the 35+ stations, from 2007 to 2017, are presented, along with processing details. Data from the network are used for remote-sensing validation and calibration and, in conjunction with other instruments within the network, hydrological model validation.
Edward K. P. Bam, Rosa Brannen, Sujata Budhathoki, Andrew M. Ireson, Chris Spence, and Garth van der Kamp
Earth Syst. Sci. Data, 11, 553–563, https://doi.org/10.5194/essd-11-553-2019, https://doi.org/10.5194/essd-11-553-2019, 2019
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The paper highlights the data contained in the database for the Prairie research site, St. Denis National Wildlife Research Area, at Saskatchewan, Canada. The database includes atmosphere, snow surveys, pond, soil, groundwater, and water isotopes collected on an intermittent basis between 1968 and 2018. The metadata table provides location information, information about the full range of measurements carried out on each parameter, and GPS locations relevant for interpretation of the data.
Simon Gascoin, Manuel Grizonnet, Marine Bouchet, Germain Salgues, and Olivier Hagolle
Earth Syst. Sci. Data, 11, 493–514, https://doi.org/10.5194/essd-11-493-2019, https://doi.org/10.5194/essd-11-493-2019, 2019
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The Sentinel-2 satellite mission allows the observation of the land surface at unprecedented resolutions (20 m every 5 days). The frequency of observations can be further increased with Landsat-8. Here we describe a new collection of snow maps made from Sentinel-2 and Landsat-8 and evaluate their accuracy. The data are routinely produced over several mountain areas and freely distributed via http://theia.cnes.fr. These new data could unlock advances in our understanding of mountain ecosystems.
María J. Polo, Javier Herrero, Rafael Pimentel, and María J. Pérez-Palazón
Earth Syst. Sci. Data, 11, 393–407, https://doi.org/10.5194/essd-11-393-2019, https://doi.org/10.5194/essd-11-393-2019, 2019
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This work presents the Guadalfeo Monitoring Network in the Sierra Nevada (Spain), a snow monitoring network in the Guadalfeo Experimental Catchment, a semiarid area in southern Europe representative of snowpacks with highly variable dynamics on both annual and seasonal scales and significant topographic gradients. The network includes weather stations and time-lapse cameras to capture the variability of the ablation phases on different spatial scales.
Ardalan Tootchi, Anne Jost, and Agnès Ducharne
Earth Syst. Sci. Data, 11, 189–220, https://doi.org/10.5194/essd-11-189-2019, https://doi.org/10.5194/essd-11-189-2019, 2019
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The role of wetlands at regional and global scales depends on their distribution and extent, which is highly uncertain in the literature. We developed comprehensive wetland maps using satellite imagery products and ground water modeling. These high-resolution maps encompass regularly flooded to non-flooded groundwater wetlands, covering more than 21 % of the land surface area, which is among the highest estimates. Wetlands are particularly concentrated over the tropics and northern cold zones.
Jesse He and Masaki Hayashi
Earth Syst. Sci. Data, 11, 111–117, https://doi.org/10.5194/essd-11-111-2019, https://doi.org/10.5194/essd-11-111-2019, 2019
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This paper presents an extensive hydrological and meteorological dataset from the Lake O'Hara alpine hydrological observatory within the Rocky Mountains. These data have supported many hydrological investigations and have provided insight into the key role of groundwater within alpine regions. We believe this dataset will be useful for the future study of alpine regions, where substantial and long-term datasets are scarce.
Kabir Rasouli, John W. Pomeroy, J. Richard Janowicz, Tyler J. Williams, and Sean K. Carey
Earth Syst. Sci. Data, 11, 89–100, https://doi.org/10.5194/essd-11-89-2019, https://doi.org/10.5194/essd-11-89-2019, 2019
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A set of hydrometeorological data including daily precipitation, hourly air temperature, humidity, wind, solar and net radiation, soil temperature, soil moisture, snow depth and snow water equivalent, streamflow and water level in a groundwater well, and geographical information system data are presented in this paper. This dataset was recorded at different elevation bands in Wolf Creek Research Basin, near Whitehorse, Yukon Territory, Canada.
Wenchao Ma, Jun Asanuma, Jianqing Xu, and Yuichi Onda
Earth Syst. Sci. Data, 10, 2295–2309, https://doi.org/10.5194/essd-10-2295-2018, https://doi.org/10.5194/essd-10-2295-2018, 2018
Roger C. Bales, Erin M. Stacy, Xiande Meng, Martha H. Conklin, Peter B. Kirchner, and Zeshi Zheng
Earth Syst. Sci. Data, 10, 2115–2122, https://doi.org/10.5194/essd-10-2115-2018, https://doi.org/10.5194/essd-10-2115-2018, 2018
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This 2006–2016 record of snow depth, soil moisture and soil temperature, and meteorological data quantifies hydrologic inputs and storage in the mostly undeveloped Wolverton catchment (2180–2750 m) in Sequoia National Park. Two meteorological stations were installed, along with clustered sensors that recorded differences in snow and soil moisture across the landscape with regard to aspect and canopy cover at elevations of 2250 and 2625 m, just above the current rain–snow transition elevation.
Roger Bales, Erin Stacy, Mohammad Safeeq, Xiande Meng, Matthew Meadows, Carlos Oroza, Martha Conklin, Steven Glaser, and Joseph Wagenbrenner
Earth Syst. Sci. Data, 10, 1795–1805, https://doi.org/10.5194/essd-10-1795-2018, https://doi.org/10.5194/essd-10-1795-2018, 2018
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Strategically placed, spatially distributed sensors provide representative measures of changes in snowpack and subsurface water storage, plus the fluxes affecting these stores, in a set of nested headwater catchments. We present 8 years of hourly snow-depth, soil-moisture, and soil-temperature data from hundreds of sensors, as well as 14 years of streamflow and meteorological data that detail processes at the rain–snow transition at Providence Creek in the southern Sierra Nevada, California.
Christopher Spence and Newell Hedstrom
Earth Syst. Sci. Data, 10, 1753–1767, https://doi.org/10.5194/essd-10-1753-2018, https://doi.org/10.5194/essd-10-1753-2018, 2018
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This dataset documents physiographic and hydrometeorological conditions from 2003 to 2016 in the 155 km2 Baker Creek Research Watershed in Canada's Northwest Territories. Half-hourly hydrometeorological data were collected over several land cover types. The dataset includes streamflow, ground temperature, soil moisture, and spring maximum snow depth and water content. These data are unique in this remote region and provide scientific and engineering communities data to advance understanding.
Michael J. Bowes, Linda K. Armstrong, Sarah A. Harman, Heather D. Wickham, David J. E. Nicholls, Peter M. Scarlett, Colin Roberts, Helen P. Jarvie, Gareth H. Old, Emma Gozzard, Nuria Bachiller-Jareno, and Daniel S. Read
Earth Syst. Sci. Data, 10, 1637–1653, https://doi.org/10.5194/essd-10-1637-2018, https://doi.org/10.5194/essd-10-1637-2018, 2018
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The water quality of the River Thames (UK) and its major tributaries has been monitored at weekly intervals since 2009. This monitoring captures changes in the water quality during a period of rapid change, related to increasing pressures (due to growing human population, increasing water demand, and climate change) and improvements in sewage treatment and agricultural practices. This study has shown that improvements in water quality have been principally due to sewage treatment improvements.
Daniel Zamrsky, Gualbert H. P. Oude Essink, and Marc F. P. Bierkens
Earth Syst. Sci. Data, 10, 1591–1603, https://doi.org/10.5194/essd-10-1591-2018, https://doi.org/10.5194/essd-10-1591-2018, 2018
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An increasing number of coastal areas worldwide are facing a threat of groundwater quality degradation by saltwater intrusion. Groundwater flow models help to get a better idea of the volumes of fresh groundwater reserves in these areas. Our research provides information on aquifer thickness, which is one of the most important parameters for such models. However, we found that geological complexity of coastal aquifer systems is at least equally as important a factor for accurate predictions.
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Short summary
Water management faces the challenge of non-stationarity in future flows. To extend flow datasets beyond the gauging data, this study presents a method of generating an ensemble of weekly flows from tree-ring reconstructed flows to represent uncertainty that can overcome certain long-standing data challenges with paleo-reconstruction. An ensemble of 500 flow time series were generated for the four sub-basins of the Saskatchewan River basin, Canada, for the period 1600–2001.
Water management faces the challenge of non-stationarity in future flows. To extend flow...
