Articles | Volume 12, issue 3
Earth Syst. Sci. Data, 12, 1545–1559, 2020
https://doi.org/10.5194/essd-12-1545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 1545–1559, 2020
https://doi.org/10.5194/essd-12-1545-2020
© 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 08 Jul 2020
Data description paper | 08 Jul 2020
Towards harmonisation of image velocimetry techniques for river surface velocity observations
Matthew T. Perks et al.
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Matthew T. Perks
Geosci. Model Dev., 13, 6111–6130, https://doi.org/10.5194/gmd-13-6111-2020, https://doi.org/10.5194/gmd-13-6111-2020, 2020
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KLT-IV v1.0 offers a user-friendly graphical interface for the determination of river flow velocity and river discharge using videos acquired from both fixed and mobile remote sensing platforms. Platform motion can be accounted for using ground control points and/or stable features or a GPS device and inertial measurement unit sensor. Examples of the KLT-IV workflow are provided for two case studies where footage is acquired using unmanned aerial systems and fixed cameras.
Alonso Pizarro, Silvano F. Dal Sasso, Matthew T. Perks, and Salvatore Manfreda
Hydrol. Earth Syst. Sci., 24, 5173–5185, https://doi.org/10.5194/hess-24-5173-2020, https://doi.org/10.5194/hess-24-5173-2020, 2020
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An innovative approach is presented to optimise image-velocimetry performances for surface flow velocity estimates (and thus remotely sensed river discharges). Synthetic images were generated under different tracer characteristics using a numerical approach. Based on the results, the Seeding Distribution Index was introduced as a descriptor of the optimal portion of the video to analyse. A field case study was considered as a proof of concept of the proposed framework showing error reductions.
Matthew T. Perks, Andrew J. Russell, and Andrew R. G. Large
Hydrol. Earth Syst. Sci., 20, 4005–4015, https://doi.org/10.5194/hess-20-4005-2016, https://doi.org/10.5194/hess-20-4005-2016, 2016
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Unmanned aerial vehicles (UAVs) have the potential to capture information about the earth’s surface in dangerous and previously inaccessible locations. Here we present a method whereby image acquisition and subsequent analysis have enabled the highly dynamic and oft-immeasurable hydraulic phenomenon present during high-energy flash floods to be quantified at previously unattainable spatial and temporal resolutions.
Matthew Thomas Perks and Jeff Warburton
Earth Surf. Dynam., 4, 705–719, https://doi.org/10.5194/esurf-4-705-2016, https://doi.org/10.5194/esurf-4-705-2016, 2016
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We appraise the success of a novel mitigation approach and subsequent adaptive management, designed to reduce the transfer of fine sediment in a small upland catchment in the UK. Analysis of the river response demonstrates that the fluvial sediment system has become more restrictive with reduced fine sediment transfer. The study demonstrates that channel reconfiguration can be effective in mitigating fine sediment flux in upland streams but the full value of this may take many years to achieve.
Salvatore Manfreda, Domenico Miglino, and Cinzia Albertini
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-47, https://doi.org/10.5194/hess-2021-47, 2021
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In this work, we introduce a new theoretically derived probability distribution of the outflows of an in-line detention basin. The method may be used to evaluate the impact of flood control systems on flood occurrences and attenuation of floods. This may help and support risk management planning and design.
Simone Noto, Flavia Tauro, Andrea Petroselli, Ciro Apollonio, Gianluca Botter, and Salvatore Grimaldi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-36, https://doi.org/10.5194/hess-2021-36, 2021
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Matthew T. Perks
Geosci. Model Dev., 13, 6111–6130, https://doi.org/10.5194/gmd-13-6111-2020, https://doi.org/10.5194/gmd-13-6111-2020, 2020
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KLT-IV v1.0 offers a user-friendly graphical interface for the determination of river flow velocity and river discharge using videos acquired from both fixed and mobile remote sensing platforms. Platform motion can be accounted for using ground control points and/or stable features or a GPS device and inertial measurement unit sensor. Examples of the KLT-IV workflow are provided for two case studies where footage is acquired using unmanned aerial systems and fixed cameras.
Alonso Pizarro, Silvano F. Dal Sasso, Matthew T. Perks, and Salvatore Manfreda
Hydrol. Earth Syst. Sci., 24, 5173–5185, https://doi.org/10.5194/hess-24-5173-2020, https://doi.org/10.5194/hess-24-5173-2020, 2020
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An innovative approach is presented to optimise image-velocimetry performances for surface flow velocity estimates (and thus remotely sensed river discharges). Synthetic images were generated under different tracer characteristics using a numerical approach. Based on the results, the Seeding Distribution Index was introduced as a descriptor of the optimal portion of the video to analyse. A field case study was considered as a proof of concept of the proposed framework showing error reductions.
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Nat. Hazards Earth Syst. Sci., 20, 1415–1419, https://doi.org/10.5194/nhess-20-1415-2020, https://doi.org/10.5194/nhess-20-1415-2020, 2020
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Global floodplain mapping has rapidly progressed over the past few years. Different methods have been proposed to identify areas prone to river flooding, resulting in a plethora of available products. Here we assess the potential and limitations of two main paradigms and provide guidance on the use of these global products in assessing flood risk in data-poor regions.
Guillaume Nord, Yoann Michielin, Romain Biron, Michel Esteves, Guilhem Freche, Thomas Geay, Alexandre Hauet, Cédric Legoût, and Bernard Mercier
Geosci. Instrum. Method. Data Syst., 9, 41–67, https://doi.org/10.5194/gi-9-41-2020, https://doi.org/10.5194/gi-9-41-2020, 2020
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We present the development of the RIPLE platform that is designed for the monitoring at high temporal frequency (~ 10 min) of water discharge, solid fluxes (bedload and suspended load) and properties of fine particles (settling velocity) in mesoscale rivers. Many instruments are integrated into this single centralized device, which is autonomous in energy and connected to the 2G/3G network. A user-friendly interface has been developed enabling us to visualize the data collected by the platform.
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Earth Surf. Dynam., 7, 515–536, https://doi.org/10.5194/esurf-7-515-2019, https://doi.org/10.5194/esurf-7-515-2019, 2019
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A simple model is proposed to improve the sediment concentration monitoring in the large rivers of the Peruvian Amazon from an index concentration sampled in the flow. This powerful tool for optimizing the concentration sampling would allow for detailed uncertainty analysis on the sediment fluxes. It could be coupled with remote sensing and hydrological modeling to serve as a step toward the development of an integrated approach for assessing sediment fluxes in poorly monitored basins.
Guiomar Ruiz-Pérez, Julian Koch, Salvatore Manfreda, Kelly Caylor, and Félix Francés
Hydrol. Earth Syst. Sci., 21, 6235–6251, https://doi.org/10.5194/hess-21-6235-2017, https://doi.org/10.5194/hess-21-6235-2017, 2017
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Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid and semi-arid ecosystems. Remote sensing data appears as an appealing source of information for vegetation monitoring, in particular in areas with a limited amount of available field data. Here, we present an example of how remote sensing data can be exploited in a data-scarce basin. We propose a mathematical methodology that can be used as a springboard for future applications.
Guillaume Nord, Brice Boudevillain, Alexis Berne, Flora Branger, Isabelle Braud, Guillaume Dramais, Simon Gérard, Jérôme Le Coz, Cédric Legoût, Gilles Molinié, Joel Van Baelen, Jean-Pierre Vandervaere, Julien Andrieu, Coralie Aubert, Martin Calianno, Guy Delrieu, Jacopo Grazioli, Sahar Hachani, Ivan Horner, Jessica Huza, Raphaël Le Boursicaud, Timothy H. Raupach, Adriaan J. Teuling, Magdalena Uber, Béatrice Vincendon, and Annette Wijbrans
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A high space–time resolution dataset linking hydrometeorological forcing and hydro-sedimentary response in a mesoscale catchment (Auzon, 116 km2) of the Ardèche region (France) is presented. This region is subject to precipitating systems of Mediterranean origin, which can result in significant rainfall amount. The data presented cover a period of 4 years (2011–2014) and aim at improving the understanding of processes triggering flash floods.
Giuliano Di Baldassarre, Smeralda Saccà, Giuseppe Tito Aronica, Salvatore Grimaldi, Alessio Ciullo, and Massimiliano Crisci
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Throughout history, the city of Rome has experienced numerous flooding events from the Tiber river. Ancient Rome mostly developed on the hills, while the Tiber’s floodplain was mainly used for agricultural purposes. Instead, many people live nowadays in modern districts in the Tiber’s floodplain, often unaware of their exposure to potentially flooding. This research work aims to explore the dynamics of changing flood risk between these two opposite pictures of ancient and contemporary Rome.
Matthew T. Perks, Andrew J. Russell, and Andrew R. G. Large
Hydrol. Earth Syst. Sci., 20, 4005–4015, https://doi.org/10.5194/hess-20-4005-2016, https://doi.org/10.5194/hess-20-4005-2016, 2016
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Flavia Tauro, Andrea Petroselli, Aldo Fiori, Nunzio Romano, Maria Cristina Rulli, Maurizio Porfiri, Mario Palladino, and Salvatore Grimaldi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-501, https://doi.org/10.5194/hess-2016-501, 2016
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Matthew Thomas Perks and Jeff Warburton
Earth Surf. Dynam., 4, 705–719, https://doi.org/10.5194/esurf-4-705-2016, https://doi.org/10.5194/esurf-4-705-2016, 2016
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We appraise the success of a novel mitigation approach and subsequent adaptive management, designed to reduce the transfer of fine sediment in a small upland catchment in the UK. Analysis of the river response demonstrates that the fluvial sediment system has become more restrictive with reduced fine sediment transfer. The study demonstrates that channel reconfiguration can be effective in mitigating fine sediment flux in upland streams but the full value of this may take many years to achieve.
Flavia Tauro, Andrea Petroselli, Maurizio Porfiri, Lorenzo Giandomenico, Guido Bernardi, Francesco Mele, Domenico Spina, and Salvatore Grimaldi
Geosci. Instrum. Method. Data Syst., 5, 241–251, https://doi.org/10.5194/gi-5-241-2016, https://doi.org/10.5194/gi-5-241-2016, 2016
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Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering practice. In this paper, we describe a novel permanent gauge-cam station for large-scale and continuous observation of surface flows, based on remote acquisition and calibration of video data. In a feasibility study, we demonstrate that accurate surface-flow velocity estimations can be obtained by analyzing experimental images via particle tracking velocimetry.
Benedikt Gräler, Andrea Petroselli, Salvatore Grimaldi, Bernard De Baets, and Niko Verhoest
Proc. IAHS, 373, 175–178, https://doi.org/10.5194/piahs-373-175-2016, https://doi.org/10.5194/piahs-373-175-2016, 2016
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Many hydrological studies are devoted to the identification of events that are expected to occur on average within a certain time span. While this topic is well established in the univariate case, recent advances focus on a multivariate characterization of events based on copulas. Following a previous study, we show how the definition of the survival Kendall return period fits into the set of multivariate return periods.
F. Tauro, G. Olivieri, A. Petroselli, M. Porfiri, and S. Grimaldi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-11-11883-2014, https://doi.org/10.5194/hessd-11-11883-2014, 2014
Manuscript not accepted for further review
I. Braud, P.-A. Ayral, C. Bouvier, F. Branger, G. Delrieu, J. Le Coz, G. Nord, J.-P. Vandervaere, S. Anquetin, M. Adamovic, J. Andrieu, C. Batiot, B. Boudevillain, P. Brunet, J. Carreau, A. Confoland, J.-F. Didon-Lescot, J.-M. Domergue, J. Douvinet, G. Dramais, R. Freydier, S. Gérard, J. Huza, E. Leblois, O. Le Bourgeois, R. Le Boursicaud, P. Marchand, P. Martin, L. Nottale, N. Patris, B. Renard, J.-L. Seidel, J.-D. Taupin, O. Vannier, B. Vincendon, and A. Wijbrans
Hydrol. Earth Syst. Sci., 18, 3733–3761, https://doi.org/10.5194/hess-18-3733-2014, https://doi.org/10.5194/hess-18-3733-2014, 2014
S. Manfreda, L. Brocca, T. Moramarco, F. Melone, and J. Sheffield
Hydrol. Earth Syst. Sci., 18, 1199–1212, https://doi.org/10.5194/hess-18-1199-2014, https://doi.org/10.5194/hess-18-1199-2014, 2014
S. F. Dal Sasso, A. Sole, S. Pascale, F. Sdao, A. Bateman Pinzòn, and V. Medina
Nat. Hazards Earth Syst. Sci., 14, 557–567, https://doi.org/10.5194/nhess-14-557-2014, https://doi.org/10.5194/nhess-14-557-2014, 2014
B. Gräler, M. J. van den Berg, S. Vandenberghe, A. Petroselli, S. Grimaldi, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 17, 1281–1296, https://doi.org/10.5194/hess-17-1281-2013, https://doi.org/10.5194/hess-17-1281-2013, 2013
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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
Preprint under review for ESSD
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.
Andrew R. Slaughter and Saman Razavi
Earth Syst. Sci. Data, 12, 231–243, https://doi.org/10.5194/essd-12-231-2020, https://doi.org/10.5194/essd-12-231-2020, 2020
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Water management faces the challenge of non-stationarity in future flows. To extend flow datasets beyond the gauging data, this study presents a method of generating an ensemble of weekly flows from tree-ring reconstructed flows to represent uncertainty that can overcome certain long-standing data challenges with paleo-reconstruction. An ensemble of 500 flow time series were generated for the four sub-basins of the Saskatchewan River basin, Canada, for the period 1600–2001.
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.
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, https://doi.org/10.5194/essd-10-1237-2018, https://doi.org/10.5194/essd-10-1237-2018, 2018
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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, https://doi.org/10.5194/essd-10-1207-2018, https://doi.org/10.5194/essd-10-1207-2018, 2018
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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, https://doi.org/10.5194/essd-10-1063-2018, https://doi.org/10.5194/essd-10-1063-2018, 2018
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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, https://doi.org/10.5194/essd-10-951-2018, https://doi.org/10.5194/essd-10-951-2018, 2018
Short summary
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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.
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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.
We present datasets acquired from seven countries across Europe and North America consisting of...
