Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 787–796, 2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article 11 Jun 2019
Review article | 11 Jun 2019
An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada
Erica Tetlock et al.
No articles found.
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, Bruce Davison, Allan Howard, Julie M. Thériault, Kevin Shook, and Alain Pietroniro
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript under review for HESSShort summary
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.
Alex Mavrovic, Renato Pardo Lara, Aaron Berg, François Demontoux, Alain Royer, and Alexandre Roy
Hydrol. Earth Syst. Sci. Discuss.,
Revised manuscript accepted for HESSShort summary
This paper presents a new probe that measure soil microwave permittivity in the frequency range of satellite L-band sensors. The probe capacities will allow for validation and calibration of the models used to estimates landscape physical properties from raw microwave satellite datasets. Our results show important discrepancies between model estimates and instrument measurements that will need to be address.
Neal Pilger, Aaron Berg, and Pamela Joosse
Geosci. Instrum. Method. Data Syst. Discuss.,
Revised manuscript not acceptedShort summary
This article describes the development of a mobile roadside survey procedure for obtaining corroboration data for the remote sensing of agricultural land use practices over county level areas where atmospheric conditions are unfavourable for satellite remote sensing, while improving on financial, temporal, and safety costs for in-field verification data acquisition.
William Quinton, Aaron Berg, Michael Braverman, Olivia Carpino, Laura Chasmer, Ryan Connon, James Craig, Élise Devoie, Masaki Hayashi, Kristine Haynes, David Olefeldt, Alain Pietroniro, Fereidoun Rezanezhad, Robert Schincariol, and Oliver Sonnentag
Hydrol. Earth Syst. Sci., 23, 2015–2039,Short summary
This paper synthesizes nearly three decades of eco-hydrological field and modelling studies at Scotty Creek, Northwest Territories, Canada, highlighting the key insights into the major water flux and storage processes operating within and between the major land cover types of this wetland-dominated region of discontinuous permafrost. It also examines the rate and pattern of permafrost-thaw-induced land cover change and how such changes will affect the hydrology and water resources of the region.
Simon Zwieback, Andreas Colliander, Michael H. Cosh, José Martínez-Fernández, Heather McNairn, Patrick J. Starks, Marc Thibeault, and Aaron Berg
Hydrol. Earth Syst. Sci., 22, 4473–4489,Short summary
Satellite soil moisture products can provide critical information on incipient droughts and the interplay between vegetation and water availability. However, time-variant systematic errors in the soil moisture products may impede their usefulness. Using a novel statistical approach, we detect such errors (associated with changing vegetation) in the SMAP soil moisture product. The vegetation-associated biases impede drought detection and the quantification of vegetation–water interactions.
Paul J. Kushner, Lawrence R. Mudryk, William Merryfield, Jaison T. Ambadan, Aaron Berg, Adéline Bichet, Ross Brown, Chris Derksen, Stephen J. Déry, Arlan Dirkson, Greg Flato, Christopher G. Fletcher, John C. Fyfe, Nathan Gillett, Christian Haas, Stephen Howell, Frédéric Laliberté, Kelly McCusker, Michael Sigmond, Reinel Sospedra-Alfonso, Neil F. Tandon, Chad Thackeray, Bruno Tremblay, and Francis W. Zwiers
The Cryosphere, 12, 1137–1156,Short summary
Here, the Canadian research network CanSISE uses state-of-the-art observations of snow and sea ice to assess how Canada's climate model and climate prediction systems capture variability in snow, sea ice, and related climate parameters. We find that the system performs well, accounting for observational uncertainty (especially for snow), model uncertainty, and chaotic climate variability. Even for variables like sea ice, where improvement is needed, useful prediction tools can be developed.
Related subject area
Hydrology and Soil Science – HydrologyThe impact of landscape evolution on soil physics: evolution of soil physical and hydraulic properties along two chronosequences of proglacial morainesThe CH-IRP data set: a decade of fortnightly data on δ2H and δ18O in streamflow and precipitation in SwitzerlandCAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great BritainA dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in GermanyCAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in BrazilGloFAS-ERA5 operational global river discharge reanalysis 1979–presentSpatially-explicit estimates of global wastewater production, collection, treatment and re-useA Canadian River Ice Database from the National Hydrometric Program ArchivesDataset of Georeferenced Dams in South America (DDSA)An integration of gauge, satellite, and reanalysis precipitation datasets for the largest river basin of the Tibetan PlateauTowards harmonisation of image velocimetry techniques for river surface velocity observationsAIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITEVegetation, 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 2018Data for wetlandscapes and their changes around the worldMeasurements of the water balance components of a large green roof in the greater Paris areaA distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spacesA 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, ChinaRunoff reaction from extreme rainfall events on natural hillslopes: a data set from 132 large-scale sprinkling experiments in south-western GermanyPaleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western CanadaGlobal River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologic communityAn Arctic watershed observatory at Lake Peters, Alaska: weather–glacier–river–lake system data for 2015–2018GRUN: an observation-based global gridded runoff dataset from 1902 to 2014SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observationsCo-located contemporaneous mapping of morphological, hydrological, chemical, and biological conditions in a 5th-order mountain stream network, Oregon, USAHydrometeorological and gravity signals at the Argentine-German Geodetic Observatory (AGGO) in La PlataFifty years of recorded hillslope runoff on seasonally frozen ground: the Swift Current, Saskatchewan, Canada, datasetMonitoring ephemeral, intermittent and perennial streamflow: a dataset from 182 sites in the Attert catchment, LuxembourgGRACE-REC: a reconstruction of climate-driven water storage changes over the last centuryHydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensingMeteorological, soil moisture, surface water, and groundwater data from the St. Denis National Wildlife Area, Saskatchewan, CanadaTheia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 dataThe Guadalfeo Monitoring Network (Sierra Nevada, Spain): 14 years of measurements to understand the complexity of snow dynamics in semiarid regionsMulti-source global wetland maps combining surface water imagery and groundwater constraintsLake O'Hara alpine hydrological observatory: hydrological and meteorological dataset, 2004–2017A long-term hydrometeorological dataset (1993–2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, CanadaA database of water and heat observations over grassland in the north-east of JapanSpatially distributed water-balance and meteorological data from the Wolverton catchment, Sequoia National Park, CaliforniaSpatially distributed water-balance and meteorological data from the rain–snow transition, southern Sierra Nevada, CaliforniaHydrometeorological data from Baker Creek Research Watershed, Northwest Territories, CanadaWeekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platformEstimating the thickness of unconsolidated coastal aquifers along the global coastlineDevelopment and analysis of the Soil Water Infiltration Global databaseEleven years of mountain weather, snow, soil moisture and streamflow data from the rain–snow transition zone – the Johnston Draw catchment, Reynolds Creek Experimental Watershed and Critical Zone Observatory, USAWater and sediment fluxes in Mediterranean mountainous regions: comprehensive dataset for hydro-sedimentological analyses and modelling in a mesoscale catchment (River Isábena, NE Spain)Historical gridded reconstruction of potential evapotranspiration for the UKThe Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadataThe Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality control, time-series indices and homogeneity assessmentWater balance and hydrology research in a mountainous permafrost watershed in upland streams of the Kolyma River, Russia: a database from the Kolyma Water-Balance Station, 1948–1997HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870
Anne Hartmann, Markus Weiler, and Theresa Blume
Earth Syst. Sci. Data, 12, 3189–3204,Short summary
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.
Maria Staudinger, Stefan Seeger, Barbara Herbstritt, Michael Stoelzle, Jan Seibert, Kerstin Stahl, and Markus Weiler
Earth Syst. Sci. Data, 12, 3057–3066,Short summary
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.
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,Short summary
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,
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,Short summary
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,Short summary
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.
Edward R. Jones, Michelle T. H. van Vliet, Manzoor Qadir, and Marc F. P. Bierkens
Earth Syst. Sci. Data Discuss.,
Revised manuscript accepted for ESSDShort summary
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 re-use. Our results can serve as a baseline for evaluating progress towards policy goals (e.g. SDGs) and can be used as input data in a broad range of large-scale water resource assessments (e.g. water quality modelling).
Laurent de Rham, Yonas Dibike, Spyros Beltaos, Daniel Peters, Barrie Bonsal, and Terry Prowse
Earth Syst. Sci. Data, 12, 1835–1860,Short summary
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.
Bolivar Eduardo Paredes-Beltran, Alvaro Sordo-Ward, and Luis Garrote
Earth Syst. Sci. Data Discuss.,
Revised manuscript accepted for ESSDShort summary
We present a dataset of 1,010 entries of dams in South America describing several attributes such as the dams name, characteristics, purposes, georeferenced ocation and also relevant data on the dam’s 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 this date has been limited to certain basins due to the absence of information.
Yuanwei Wang, Lei Wang, Xiuping Li, Jing Zhou, and Zhidan Hu
Earth Syst. Sci. Data, 12, 1789–1803,Short summary
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.
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,Short summary
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,Short summary
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,Short summary
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,Short summary
We present a global collection of satellite-derived time series of surface water volume changes for 347 lakes and reservoirs for 1992–2018. These changes were estimated using a statistical relationship between water surface elevation and area measured from satellite, even during periods when either elevation or area was not available. These records represent the most complete global surface water time series, and they are of fundamental importance to baseline future satellite missions.
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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.
Andrew R. Slaughter and Saman Razavi
Earth Syst. Sci. Data, 12, 231–243,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.
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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.
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,
Roger C. Bales, Erin M. Stacy, Xiande Meng, Martha H. Conklin, Peter B. Kirchner, and Zeshi Zheng
Earth Syst. Sci. Data, 10, 2115–2122,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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.
Mehdi Rahmati, Lutz Weihermüller, Jan Vanderborght, Yakov A. Pachepsky, Lili Mao, Seyed Hamidreza Sadeghi, Niloofar Moosavi, Hossein Kheirfam, Carsten Montzka, Kris Van Looy, Brigitta Toth, Zeinab Hazbavi, Wafa Al Yamani, Ammar A. Albalasmeh, Ma'in Z. Alghzawi, Rafael Angulo-Jaramillo, Antônio Celso Dantas Antonino, George Arampatzis, Robson André Armindo, Hossein Asadi, Yazidhi Bamutaze, Jordi Batlle-Aguilar, Béatrice Béchet, Fabian Becker, Günter Blöschl, Klaus Bohne, Isabelle Braud, Clara Castellano, Artemi Cerdà, Maha Chalhoub, Rogerio Cichota, Milena Císlerová, Brent Clothier, Yves Coquet, Wim Cornelis, Corrado Corradini, Artur Paiva Coutinho, Muriel Bastista de Oliveira, José Ronaldo de Macedo, Matheus Fonseca Durães, Hojat Emami, Iraj Eskandari, Asghar Farajnia, Alessia Flammini, Nándor Fodor, Mamoun Gharaibeh, Mohamad Hossein Ghavimipanah, Teamrat A. Ghezzehei, Simone Giertz, Evangelos G. Hatzigiannakis, Rainer Horn, Juan José Jiménez, Diederik Jacques, Saskia Deborah Keesstra, Hamid Kelishadi, Mahboobeh Kiani-Harchegani, Mehdi Kouselou, Madan Kumar Jha, Laurent Lassabatere, Xiaoyan Li, Mark A. Liebig, Lubomír Lichner, María Victoria López, Deepesh Machiwal, Dirk Mallants, Micael Stolben Mallmann, Jean Dalmo de Oliveira Marques, Miles R. Marshall, Jan Mertens, Félicien Meunier, Mohammad Hossein Mohammadi, Binayak P. Mohanty, Mansonia Pulido-Moncada, Suzana Montenegro, Renato Morbidelli, David Moret-Fernández, Ali Akbar Moosavi, Mohammad Reza Mosaddeghi, Seyed Bahman Mousavi, Hasan Mozaffari, Kamal Nabiollahi, Mohammad Reza Neyshabouri, Marta Vasconcelos Ottoni, Theophilo Benedicto Ottoni Filho, Mohammad Reza Pahlavan-Rad, Andreas Panagopoulos, Stephan Peth, Pierre-Emmanuel Peyneau, Tommaso Picciafuoco, Jean Poesen, Manuel Pulido, Dalvan José Reinert, Sabine Reinsch, Meisam Rezaei, Francis Parry Roberts, David Robinson, Jesús Rodrigo-Comino, Otto Corrêa Rotunno Filho, Tadaomi Saito, Hideki Suganuma, Carla Saltalippi, Renáta Sándor, Brigitta Schütt, Manuel Seeger, Nasrollah Sepehrnia, Ehsan Sharifi Moghaddam, Manoj Shukla, Shiraki Shutaro, Ricardo Sorando, Ajayi Asishana Stanley, Peter Strauss, Zhongbo Su, Ruhollah Taghizadeh-Mehrjardi, Encarnación Taguas, Wenceslau Geraldes Teixeira, Ali Reza Vaezi, Mehdi Vafakhah, Tomas Vogel, Iris Vogeler, Jana Votrubova, Steffen Werner, Thierry Winarski, Deniz Yilmaz, Michael H. Young, Steffen Zacharias, Yijian Zeng, Ying Zhao, Hong Zhao, and Harry Vereecken
Earth Syst. Sci. Data, 10, 1237–1263,Short summary
This paper presents and analyzes a global database of soil infiltration data, the SWIG database, for the first time. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists or they were digitized from published articles. We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models.
Sarah E. Godsey, Danny Marks, Patrick R. Kormos, Mark S. Seyfried, Clarissa L. Enslin, Adam H. Winstral, James P. McNamara, and Timothy E. Link
Earth Syst. Sci. Data, 10, 1207–1216,Short summary
Weather data in mountainous rain-to-snow transition zones are limited, but are vital for water resources. We present a 10-year dataset for this zone that includes hourly temperatures, relative humidity, streamflow, snow depth, precipitation, wind speed/direction, solar energy, and soil moisture at 11 stations. Average air temperatures are near freezing 8 months each year, so that slight warming may determine whether rain falls instead of snow, affecting water supplies and fire risk.
Till Francke, Saskia Foerster, Arlena Brosinsky, Erik Sommerer, Jose A. Lopez-Tarazon, Andreas Güntner, Ramon J. Batalla, and Axel Bronstert
Earth Syst. Sci. Data, 10, 1063–1075,Short summary
This paper presents a hydro-sedimentological dataset for the Isábena catchment, northeastern Spain, for the period 2010–2018. It contains the results of several years of monitoring rainfall, discharge and sediment flux and analysing soil spectroscopic properties. The dataset features data in high spatial and temporal resolution suitable for the advanced process understanding of water and sediment fluxes, their origin and connectivity and sediment budgeting and for model development.
Maliko Tanguy, Christel Prudhomme, Katie Smith, and Jamie Hannaford
Earth Syst. Sci. Data, 10, 951–968,Short summary
Potential evapotranspiration (PET) is necessary input data for most hydrological models, used to simulate river flows. To reconstruct PET prior to the 1960s, simplified methods are needed because of lack of climate data required for complex methods. We found that the McGuinness–Bordne PET equation, which only needs temperature as input data, works best for the UK provided it is calibrated for local conditions. This method was used to produce a 5 km gridded PET dataset for the UK for 1891–2015.
Hong Xuan Do, Lukas Gudmundsson, Michael Leonard, and Seth Westra
Earth Syst. Sci. Data, 10, 765–785,Short summary
The production of 30 959 daily streamflow time series in the Global Streamflow and Metadata Archive (GSIM) project is presented. The paper also describes the development of three metadata products that are freely available. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.
Lukas Gudmundsson, Hong Xuan Do, Michael Leonard, and Seth Westra
Earth Syst. Sci. Data, 10, 787–804,Short summary
Time-series indices characterizing streamflow at annual, seasonal and monthly resolution at more than 30 000 stations around the world are presented. The data belong to the Global Streamflow and Metadata Archive (GSIM) and allow for an assessment of water balance components, hydrological extremes and the seasonality of water availability. The quality of the data is tested using automated methods to aid potential users to gauge the suitability of the data for specific applications.
Olga Makarieva, Nataliia Nesterova, Lyudmila Lebedeva, and Sergey Sushansky
Earth Syst. Sci. Data, 10, 689–710,Short summary
This article describes the dataset of the Kolyma Water-Balance Station located at the upstreams of the Kolyma River (Russia). The dataset combines continuous long-term (1948–1997) observations of water balance, hydrological processes, and permafrost. It allows for study of permafrost hydrology interaction processes in a practically unexplored region. We highlight the main historical stages of the station's existence and its scientific significance, and outline the prospects for its future.
Dominik Paprotny, Oswaldo Morales-Nápoles, and Sebastiaan N. Jonkman
Earth Syst. Sci. Data, 10, 565–581,Short summary
Natural hazards affect areas with various population density, economic production value and preparedness. This database will help to assess the impact of hazards in Europe in a long-term perspective. It contains data on losses, dates and location of 1564 floods from 1870–2016 in 37 countries. For the same area and timeframe, land use, population and asset value were reconstructed. Combining both data sets, one can correct the amount of losses from past events for demographic and economic growth.
Adams, J. R., McNairn, H., Berg, A. A., and Champagne, C.: Evaluation of near-surface soil moisture data from an AAFC monitoring network in Manitoba, Canada: Implications for L-band satellite validation, J. Hydrol., 521, 582–592, https://doi.org/10.1016/j.jhydrol.2014.10.024, 2015.
Bell, J. E., Palecki, M. A., Baker, C. B., Collins, W. G., Lawrimore, J. H., Leeper, R. D., Hall, M. E., Kochendorfer, J., Meyers, T. P., Wilson, T., and Diamond, H. J.: U.S. Climate Reference Network soil moisture and temperature observations, J. Hydrometeorol., 14, 977–988, https://doi.org/10.1175/JHM-D-12-0146.1, 2013.
Bhuiyan, H. A., McNairn, H., Powers, J., Friesen, M., Pacheco, A., Jackson, T. J., Cosh, M. H., Colliander, A., Berg, A., Rowlandson, T., and Bullock, P.: Assessing SMAP soil moisture scaling and retrieval in the Carman (Canada) study site, Vadose Zone J., 17, https://doi.org/10.2136/vzj2018.07.0132, 2018.
Bindlish, R., Cosh, M. H., Jackson, T., Koike, T., Fujii, H., Chan, S. K., Asanuma, J., Berg, A., Bosch, D. D., Caldwell, T., Holifield Collins, C., McNairn, H., Martínez-Fernádez, J., Prueger, J., Rowlandson, T., Seyfried, M., Starks, P., Thibeault, M., van der Velde, R., Walker, J. P., and Coopersmith, E. J., GCOM-W AMSR2 soil moisture product validation using core validation sites, IEEE T. Geosci. Remote, 11, 209–219, https://doi.org/10.1109/JSTARS.2017.2754293, 2018.
Burns, T. T., Adams, J. R., and Berg, A. A.: Laboratory calibration procedures of the Hydra Probe soil moisture sensor: infiltration wet-up vs. dry-down, Vadose Zone J., 13, https://doi.org/10.2136/vzj2014.07.0081, 2014.
Burns, T. T., Berg, A. A., Cockburn, J., and Tetlock, E.: Regional scale spatial and temporal variability of soil moisture in a prairie region, Hydrol. Process., 30, 3639–3649, https://doi.org/10.1002/hyp.10954, 2016.
Campbell, J.: Dielectric properties and influence of conductivity in soils at one and fifty megahertz, Soil Sci. Soc. Am. J., 54, 332–341, 1990.
Champagne, C., Berg, A., Belanger, J., McNairn, H., and De Jeu, R.: Evaluation of soil moisture derived from passive microwave remote sensing over agricultural sites in Canada using ground-based soil moisture monitoring networks, Int. J. Remote Sens., 31, 3669–3690, https://doi.org/10.1080/01431161.2010.483485, 2010.
Champagne, C., Rowlandson, T., Berg, A., Burns, T., L'Heureux, J., Tetlock, E., Adams, J. R., McNairn, H., Toth, B., and Itenfisu, D.: Satellite surface soil moisture from SMOS and Aquarius: Assessment for applications in agricultural landscapes, Int. J. Appl. Earth Obs., 45, 143–154, 2016.
Chan, S. K., Bindlish, R., O'Neill, P. E., Njoku, E., Jackson, T., Colliander, A., Chen, F., Burgin, M., Dunbar, S., Piepmeier, J., Yueh, S., Entekhabi, D., Cosh, M. H., Caldwell, T., Walker, J., Wu, X., Berg, A., Rowlandson, T., Pacheco, A., McNairn, H., Thibeault, M., Martínez-Fernádez, J., González-Zamora, Seyfried, M., Bosch, D., Starks, P., Goodrich, D., Prueger, J., Palecki, M., Small, E. E., Zreda, M., Clavet, J-C., Crow, W. T., and Kerr, Y.: Assessment of the SMAP passive soil moisture product, IEEE T. Geosci. Remote, 54, 4994–5007, 2016.
Colliander, A., Jackson, T. J., Bindlish, R., Chan, S., Das, N., Kim, S. B., Cosh, M. H., Dunbar, R. S., Dang, L., Pashaian, L., Asanuma, J., Aida, K., Berg, A., Rowlandson, T., Bosch, D., Caldwell, T., Caylor, K., Goodrich, D., al Hassar, H., Lopez-Baeza, E., Martínez-Fernádez, J., González-Zamora, A., Linvingston, S., McNairn, H., Pacheco, A., Moghaddam, M., Montzka, C., Notarnicola, C., Niedrist, G., Pellarin, T., Prueger, J., Pulliainen, J., Rautiainen, K., Ramos, J., Seyfried, M., Starks, P., Su, A., Zeng, Y., van der Velde, R., Thibeault, M., Dorigo, W., Vreugdenhil, M., Walker, J. P., Wu, X., Monerris, O'Neill, P. E., Entekhabi, D., Njoku, E. G., and Yueh, S.: Validation of SMAP surface soil moisture products with core validation sites, Remote Sens. Environ., 191, 215–231, 2017.
Devine, K. A. and Mekis, E.: Field accuracy of Canadian rain measurements, Atmos. Ocean, 46, 213–227, 2008.
Drewitt, G., Berg, A. A., Merryfield, W. J., and Lee, W. S.: Effect of realistic soil moisture initialization on the Canadian CanCM3 season forecast model, Atmos. Ocean., 50, 466–474, 2012.
Dumedah, G., Berg, A. A., and Wineberg, M.: An integrated framework for a joint assimilation of brightness temperature and soil moisture using the nondominated sorting genetic algorithm II, J. Hydrometerol., 12, 1596–1609, 2011.
Ellis, J. G., Acton, D. F., and Moss, H. C.: The Soils of the Rosetown Map Area: 72-O Saskatchewan, Publ. S3, Sask. Institute of Pedology, Saskatoon, Sask., Canada, 159 pp., 1970.
Garnaud, C., Bélair, S., Berg, A., and Rowlandson, T.: Hyperresolution land surface modelling in the context of SMAP cal–val, J. Hydrometeorol., 17, 345–352, https://doi.org/10.1175/JHM-D-15-0070.1, 2016.
Huang, Q., Akinremi, O., Sri Ranjan, R., and Bullock, P.: Laboratory an evaluation of five soil water sensors, Can. J. Soil Sci., 84, 431–438, 2004.
HyQuest Solutions Pty Ltd: Instruction Manual Tipping Bucket Rain gauge Model TB3, Issue 12, Hydrological Services America, Lake Worth, FL, USA, 2014.
Koster, R. D., Mahanama, S. P. P., Livneh, B., Lettenmaier, D. P., and Reichle, R. H.: Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow, Nat. Geosci., 3, 613–616, 2010.
Koster, R. D., Mahanama, S. P. P., Yamada, T. J., Balsamo, Gianpaolo, Berg, A. A., Boisserie, M., Dirmeyer, P. A., Doblas-Reyes, F. J., Drewitt, G., Gordon, C. T., Guo, Z., Jeong, Jee-Hoon, Lee, W. S., Li, Z., Luo, L., Malyshev, S., Merryfield, W. J., Seneviratne, S. I., Stanelle, T., van den Hurk, B. J. J. M., Vitart, F., and Wood, E. F.: The second phase of the Global Land-Atmosphere Coupling Experiment: Soil moisture contributions to subseasonal forecast skill, J. Hydrometerol., 12, 805–822, 2011.
Magagi, R., Berg, A. A., Goïta, K., Bélair, S., Jackson, T. J., Toth, B., Walker, A., McNairn, H., O'Neill, P. E., Moghaddam, M., Gherboudj, I., Colliander, A., Cosh, M. H., Burgin, M., Fisher, J. B., Kim, S., Mladenova, I., Djamaï, N., Rousseau, L. B., Belanger, J., Shang, J., and Merzouki, A.: Canadian experiment for soil moisture in 2010 (CanEx-SM10): overview and preliminary results, IEEE T. Geosci. Remote, 51, 347–363, https://doi.org/10.1109/TGRS.2012.2198920, 2013.
Onset Computer Corporation: HOBO Data Logging Rain Gauge (RG3 and RG3-M) Manual, Onset Computer Corporation, Bourne, MA, available at: https://www.onsetcomp.com/support/manuals/10241-man-rg3-rg3-m, last access: 26 February 2019.
Reichle, R. H., De Lannoy, G. J., Liu, Q., Ardizzone, J. V., Colliander, A., Conaty, A., Crow, W., Jackson, T. J., Jones, L. A., Kimball, J. S., Koster, R. D., Mahanama, S. P., Smith, E. B., Berg, A., Bircher, S., Bosch, D., Caldwell, T. G., Cosh, M., González-Zamora, Á., Holifield Collins, C. D., Jensen, K. H., Livingston, S., Lopez-Baeza, E., Martínez-Fernádez, J., McNairn, H., Moghaddam, M., Pacheco, A., Pellarin, T., Prueger, J., Rowlandson, T., Seyfried, M., Starks, P., Su, Z., Thibeault, M., van der Velde, R., Walker, J., Wu, X., and Zeng, Y.: Assessment of the SMAP level-4 surface and root-zone soil moisture product using in situ measurements, J. Hydrometerol., 18, 2621–2645, 2017.
Rowlandson, T. L., Berg, A. A., Bullock, P. R., Ojo, E. R., McNairn, H., Wiseman, G., and Cosh, M. H.: Evaluation of several calibration procedures for a portable soil moisture sensor, J. Hydrol., 498, 335–344, 2013.
Rowlandson, T. L., Impera, S., Belanger, J., Berg, A. A., Toth, B., and Magagi, R.: Use of in situ soil moisture network for estimating regional-scale soil moisture during high soil moisture conditions, Can. Water Resour. J., 40, 343–351, https://doi.org/10.1080/07011784.2015.1061948, 2015.
Rowlandson, T. L., Berg, A. A., Bullock, P. R., Hanis-Gervais, K., Ojo, E. R., Cosh, M., H., Powers, J., and McNairn, H.: Temporal transferability of soil moisture calibration equations, J. Hydrol., 556, 349–358, 2018.
Schaefer, G. L., Cosh, M. H., and Jackson, T. J.: The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN), J. Atmos. Ocean. Tech., 24, 2073–2077, https://doi.org/10.1175/2007JTECHA930.1, 2007.
Seyfried, M. and Grant, L.: Temperature Effects on Soil Dielectric Properties Measured at 50 MHz, Vadose Zone J., 6, 759–765, 2007.
Seyfried, M. and Murdock, M.: Measurement of soil water content with a 50-MHz soil dielectric sensors, Soil Sci. Soc. Am. J., 68, 394–403, 2004.
Seyfried, M., Grant, K., Du, E., and Humes, K.: Dielectric loss and calibration of Hydra probe soil water sensor, Vadose Zone J., 4, 1070–1079, 2005.
Shook, K., Pomeroy, J. W., Spence, C., and Boychuk, L.: Storage dynamics simulations in prairie wetland hydrology models: evaluation and parameterization, Hydrol. Process., 27, 1875–1889, https://doi.org/10.1002/hyp.9867, 2013.
Stevens Water Monitoring Systems, Inc.: Users Manual, rev VI, Stevens Water Monitoring Systems, Portland, OR, USA, 2018a.
Stevens Water Monitoring Systems, Inc.: Soil Data Guide, rev VI, Stevens Water Monitoring Systems, Portland, OR, USA, 2018b.
Tetlock, E., Toth, B., Berg, A., Rowlandson, T., and Thomas Ambadan, J.: A soil moisture and precipitation dataset from the Kenaston/Brightwater Creek basin, Saskatchewan, Canada, 2007–2017, https://doi.org/10.20383/101.0116, 2018.
Texas Electronics, Inc.: TR-525 Series Rainfall Sensors User's Manual, Texas Electronics, Inc., Dallas, TX, availble at: https://texaselectronics.com/products/rain-gauges/rain-gauge-tr-525m-metric.html, last access: 26 February 2019.
Topp, G., Davis, J., and Annan, A.: Electromagnetic determination of soil water content: measurements in coaxial transmission lines, Water Resour. Res., 16, 574–582, 1980.
Walker, B. D. and Howard, A. E., Drought monitoring network: site and soil descriptions, Conservation and Development Branch, Alberta Agriculture, Food and Rural Development, Edmonton, AB, Canda, 111 pp., 2003.
Wanders, N., Karssenberg, D., de Roo, A., de Jong, S. M., and Bierkens, M. F. P.: The suitability of remotely sensed soil moisture for improving operational flood forecasting, Hydrol. Earth Syst. Sci., 18, 2343–2357, https://doi.org/10.5194/hess-18-2343-2014, 2014.
Williamson, M., Adams, J. R., Berg, A. A., Derksen, C., Toose, P., and Walker, A.: Plot-scale assessment of soil freeze/thaw detection and variability with impedance probes: implications for remote sensing validation networks, Hydrol. Res., 49, 1–6, 2018.
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.
Soil moisture and precipitation have been monitored in the Brightwater Creek basin, east of...