Articles | Volume 29, issue 14
https://doi.org/10.5194/hess-29-3359-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-3359-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of globally gridded precipitation data and satellite-based terrestrial water storage products using hydrological drought recovery time
Water Resources Laboratory, Department of Civil Engineering, Middle East Technical University, Ankara 06690, Türkiye
Geodesy Group, Department of Sustainability and Planning, Aalborg University, Aalborg 9000, Denmark
M. Tuğrul Yımaz
Water Resources Laboratory, Department of Civil Engineering, Middle East Technical University, Ankara 06690, Türkiye
Henryk Dobslaw
Section 1.3 Earth System Modeling, GFZ Helmholtz Centre for Geosciences, Potsdam 14473, Germany
E. Sinem Ince
Section 1.2 Global Geomonitoring and Gravity Field, GFZ Helmholtz Centre for Geosciences, Potsdam 14473, Germany
Fatih Evrendilek
Department of Civil and Environmental Engineering, University of Maine, Orono, Maine 04469, USA
Christoph Förste
Section 1.2 Global Geomonitoring and Gravity Field, GFZ Helmholtz Centre for Geosciences, Potsdam 14473, Germany
Ali Levent Yagci
Department of Geomatics Engineering, Gebze Technical University, Kocaeli 41400, Türkiye
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Linus Shihora, Torge Martin, Anna Christina Hans, Rebecca Hummels, Michael Schindelegger, and Henryk Dobslaw
Ocean Sci., 21, 1533–1548, https://doi.org/10.5194/os-21-1533-2025, https://doi.org/10.5194/os-21-1533-2025, 2025
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The Atlantic Meridional Overturning Circulation (AMOC) is a major part of the ocean circulation. Satellite gravimetry missions, like GRACE, which measure changes in Earth's mass distribution, could help monitor changes in the AMOC by detecting variations in ocean bottom pressure. To help assess if future satellite missions could detect these changes, we used ocean model simulation data to study their connection. Additionally, we created a synthetic data set for future satellite mission simulations.
Ehsan Sharifi, Julian Haas, Eva Börgens, Henryk Dobslaw, and Andreas Güntner
EGUsphere, https://doi.org/10.5194/egusphere-2025-1514, https://doi.org/10.5194/egusphere-2025-1514, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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This study presents a method to make the spatial resolution of global Water Storage Compartments (WSCs) compatible with terrestrial water storage (TWS) data from GRACE missions. The method compares the spatial structure of the WSCs and TWS by considering the correlation between neighboring grid cells. An isotropic Gaussian filter with an optimal filter width of 250 km is found to be the most suitable, ensuring compatibility for consistent comparison with GRACE data in hydrological applications.
Christoph Dahle, Eva Boergens, Ingo Sasgen, Thorben Döhne, Sven Reißland, Henryk Dobslaw, Volker Klemann, Michael Murböck, Rolf König, Robert Dill, Mike Sips, Ulrike Sylla, Andreas Groh, Martin Horwath, and Frank Flechtner
Earth Syst. Sci. Data, 17, 611–631, https://doi.org/10.5194/essd-17-611-2025, https://doi.org/10.5194/essd-17-611-2025, 2025
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GRACE and GRACE-FO are unique observing systems to quantify mass changes at the Earth’s surface from space. Time series of these mass changes are of high value for various applications, e.g., in hydrology, glaciology, and oceanography. GravIS (Gravity Information Service) provides easy access to user-friendly, regularly updated mass anomaly products. The portal visualizes and describes these data, aiming to highlight their significance for understanding changes in the climate system.
Eva Boergens, Andreas Güntner, Mike Sips, Christian Schwatke, and Henryk Dobslaw
Hydrol. Earth Syst. Sci., 28, 4733–4754, https://doi.org/10.5194/hess-28-4733-2024, https://doi.org/10.5194/hess-28-4733-2024, 2024
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The satellites GRACE and GRACE-FO observe continental terrestrial water storage (TWS) changes. With over 20 years of data, we can look into long-term variations in the East Africa Rift region. We focus on analysing the interannual TWS variations compared to meteorological data and observations of the water storage compartments. We found strong influences of natural precipitation variability and human actions over Lake Victoria's water level.
Christian Voigt, Karsten Schulz, Franziska Koch, Karl-Friedrich Wetzel, Ludger Timmen, Till Rehm, Hartmut Pflug, Nico Stolarczuk, Christoph Förste, and Frank Flechtner
Hydrol. Earth Syst. Sci., 25, 5047–5064, https://doi.org/10.5194/hess-25-5047-2021, https://doi.org/10.5194/hess-25-5047-2021, 2021
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A continuously operating superconducting gravimeter at the Zugspitze summit is introduced to support hydrological studies of the Partnach spring catchment known as the Zugspitze research catchment. The observed gravity residuals reflect total water storage variations at the observation site. Hydro-gravimetric analysis show a high correlation between gravity and the snow water equivalent, with a gravimetric footprint of up to 4 km radius enabling integral insights into this high alpine catchment.
E. Sinem Ince, Franz Barthelmes, Sven Reißland, Kirsten Elger, Christoph Förste, Frank Flechtner, and Harald Schuh
Earth Syst. Sci. Data, 11, 647–674, https://doi.org/10.5194/essd-11-647-2019, https://doi.org/10.5194/essd-11-647-2019, 2019
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ICGEM is a non-profit scientific service that contributes to any research area in which the use of gravity information is essential. ICGEM offers the largest collection of global gravity field models, interactive calculation and visualisation services and delivers high-quality datasets to researchers and students in geodesy, geophysics, glaciology, hydrology, oceanography, and climatology and most importantly general public. Static, temporal, and topographic gravity field models are available.
Liangjing Zhang, Henryk Dobslaw, Tobias Stacke, Andreas Güntner, Robert Dill, and Maik Thomas
Hydrol. Earth Syst. Sci., 21, 821–837, https://doi.org/10.5194/hess-21-821-2017, https://doi.org/10.5194/hess-21-821-2017, 2017
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Global numerical models perform differently, as has been found in some model intercomparison studies, which mainly focused on components like evapotranspiration, soil moisture or runoff. We have applied terrestrial water storage that is estimated from a GRACE-based state-of-art post-processing method to validate four global numerical models and try to identify the advantages and deficiencies of a certain model. GRACE-based TWS demonstrates its additional benefits to improve the models in future.
Related subject area
Subject: Global hydrology | Techniques and Approaches: Instruments and observation techniques
HESS Opinions: Towards a common vision for the future of hydrological observatories
Wetting and drying trends in the land–atmosphere reservoir of large basins around the world
Evaluation of reanalysis soil moisture products using cosmic ray neutron sensor observations across the globe
Evaporation enhancement drives the European water-budget deficit during multi-year droughts
Combining passive and active distributed temperature sensing measurements to locate and quantify groundwater discharge variability into a headwater stream
Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines
Hydrology and water resources management in ancient India
Terrestrial water loss at night: global relevance from observations and climate models
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
SMOS brightness temperature assimilation into the Community Land Model
SMOS near-real-time soil moisture product: processor overview and first validation results
Estimating annual water storage variations in medium-scale (2000–10 000 km2) basins using microwave-based soil moisture retrievals
Recent trends and variability in river discharge across northern Canada
Effects of changes in moisture source and the upstream rainout on stable isotopes in precipitation – a case study in Nanjing, eastern China
The "Prediflood" database of historical floods in Catalonia (NE Iberian Peninsula) AD 1035–2013, and its potential applications in flood analysis
Regional GRACE-based estimates of water mass variations over Australia: validation and interpretation
Geodynamical processes in the channel connecting the two lobes of the Large Aral Sea
Paolo Nasta, Günter Blöschl, Heye R. Bogena, Steffen Zacharias, Roland Baatz, Gabriëlle De Lannoy, Karsten H. Jensen, Salvatore Manfreda, Laurent Pfister, Ana M. Tarquis, Ilja van Meerveld, Marc Voltz, Yijian Zeng, William Kustas, Xin Li, Harry Vereecken, and Nunzio Romano
Hydrol. Earth Syst. Sci., 29, 465–483, https://doi.org/10.5194/hess-29-465-2025, https://doi.org/10.5194/hess-29-465-2025, 2025
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The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories to tackle catchment-scale challenges on a global scale. This opinion paper provocatively discusses two endmembers of possible future hydrological observatory (HO) networks for a given hypothesized community budget: a comprehensive set of moderately instrumented observatories or, alternatively, a small number of highly instrumented supersites.
Juan F. Salazar, Ruben D. Molina, Jorge I. Zuluaga, and Jesus D. Gomez-Velez
Hydrol. Earth Syst. Sci., 28, 2919–2947, https://doi.org/10.5194/hess-28-2919-2024, https://doi.org/10.5194/hess-28-2919-2024, 2024
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Global change is altering river basins and their discharge worldwide. We introduce the land–atmosphere reservoir (LAR) concept to investigate these changes in six of the world's largest basins. We found that low-latitude basins (Amazon, Paraná, and Congo) are getting wetter, whereas high-latitude basins (Mississippi, Ob, and Yenisei) are drying. If this continues, these long-term trends will disrupt the discharge regime and compromise the sustainability of these basins with widespread impacts.
Yanchen Zheng, Gemma Coxon, Ross Woods, Daniel Power, Miguel Angel Rico-Ramirez, David McJannet, Rafael Rosolem, Jianzhu Li, and Ping Feng
Hydrol. Earth Syst. Sci., 28, 1999–2022, https://doi.org/10.5194/hess-28-1999-2024, https://doi.org/10.5194/hess-28-1999-2024, 2024
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Reanalysis soil moisture products are a vital basis for hydrological and environmental research. Previous product evaluation is limited by the scale difference (point and grid scale). This paper adopts cosmic ray neutron sensor observations, a novel technique that provides root-zone soil moisture at field scale. In this paper, global harmonized CRNS observations were used to assess products. ERA5-Land, SMAPL4, CFSv2, CRA40 and GLEAM show better performance than MERRA2, GLDAS-Noah and JRA55.
Christian Massari, Francesco Avanzi, Giulia Bruno, Simone Gabellani, Daniele Penna, and Stefania Camici
Hydrol. Earth Syst. Sci., 26, 1527–1543, https://doi.org/10.5194/hess-26-1527-2022, https://doi.org/10.5194/hess-26-1527-2022, 2022
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Droughts are a creeping disaster, meaning that their onset, duration and recovery are challenging to monitor and forecast. Here, we provide further evidence of an additional challenge of droughts, i.e. the fact that the deficit in water supply during droughts is generally much more than expected based on the observed decline in precipitation. At a European scale we explain this with enhanced evapotranspiration, sustained by higher atmospheric demand for moisture during such dry periods.
Nataline Simon, Olivier Bour, Mikaël Faucheux, Nicolas Lavenant, Hugo Le Lay, Ophélie Fovet, Zahra Thomas, and Laurent Longuevergne
Hydrol. Earth Syst. Sci., 26, 1459–1479, https://doi.org/10.5194/hess-26-1459-2022, https://doi.org/10.5194/hess-26-1459-2022, 2022
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Groundwater discharge into streams plays a major role in the preservation of stream ecosystems. There were two complementary methods, both based on the use of the distributed temperature sensing technology, applied in a headwater catchment. Measurements allowed us to characterize the spatial and temporal patterns of groundwater discharge and quantify groundwater inflows into the stream, opening very promising perspectives for a novel characterization of the groundwater–stream interface.
Daniel E. Ibarra, Carlos Primo C. David, and Pamela Louise M. Tolentino
Hydrol. Earth Syst. Sci., 25, 2805–2820, https://doi.org/10.5194/hess-25-2805-2021, https://doi.org/10.5194/hess-25-2805-2021, 2021
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We evaluate a recently published global product of monthly runoff using streamflow data from small tropical catchments in the Philippines. Using monthly runoff observations from catchments, we tested for correlation and prediction. We demonstrate the potential utility of this product in assessing trends in regional-scale runoff, as well as look at the correlation of phenomenon such as the El Niño–Southern Oscillation on streamflow in this wet but drought-prone archipelago.
Pushpendra Kumar Singh, Pankaj Dey, Sharad Kumar Jain, and Pradeep P. Mujumdar
Hydrol. Earth Syst. Sci., 24, 4691–4707, https://doi.org/10.5194/hess-24-4691-2020, https://doi.org/10.5194/hess-24-4691-2020, 2020
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Like in all ancient civilisations, the need to manage water propelled the growth of hydrological science in ancient India also. In this paper, we provide some fascinating glimpses into the hydrological, hydraulic, and related engineering knowledge that existed in ancient India, as discussed in contemporary literature and recent explorations and findings. Many interesting dimensions of early scientific endeavours emerge as we investigate deeper into ancient texts, including Indian mythology.
Ryan S. Padrón, Lukas Gudmundsson, Dominik Michel, and Sonia I. Seneviratne
Hydrol. Earth Syst. Sci., 24, 793–807, https://doi.org/10.5194/hess-24-793-2020, https://doi.org/10.5194/hess-24-793-2020, 2020
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We focus on the net exchange of water between land and air via evapotranspiration and dew during the night. We provide, for the first time, an overview of the magnitude and variability of this flux across the globe from observations and climate models. Nocturnal water loss from land is 7 % of total evapotranspiration on average and can be greater than 15 % locally. Our results highlight the relevance of this often overlooked flux, with implications for water resources and climate studies.
Hylke E. Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I. J. M. van Dijk, Graham P. Weedon, Luca Brocca, Florian Pappenberger, George J. Huffman, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 6201–6217, https://doi.org/10.5194/hess-21-6201-2017, https://doi.org/10.5194/hess-21-6201-2017, 2017
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This study represents the most comprehensive global-scale precipitation dataset evaluation to date. We evaluated 13 uncorrected precipitation datasets using precipitation observations from 76 086 gauges, and 9 gauge-corrected ones using hydrological modeling for 9053 catchments. Our results highlight large differences in estimation accuracy, and hence, the importance of precipitation dataset selection in both research and operational applications.
Dominik Rains, Xujun Han, Hans Lievens, Carsten Montzka, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 21, 5929–5951, https://doi.org/10.5194/hess-21-5929-2017, https://doi.org/10.5194/hess-21-5929-2017, 2017
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We have assimilated 6 years of satellite-observed passive microwave data into a state-of-the-art land surface model to improve surface soil moisture as well as root-zone soil moisture simulations. Long-term assimilation effects/biases are identified, and they are especially dependent on model perturbations, applied to simulate model uncertainty. The implications are put into context of using such assimilation-improved data for classifying extremes within hydrological monitoring systems.
Nemesio J. Rodríguez-Fernández, Joaquin Muñoz Sabater, Philippe Richaume, Patricia de Rosnay, Yann H. Kerr, Clement Albergel, Matthias Drusch, and Susanne Mecklenburg
Hydrol. Earth Syst. Sci., 21, 5201–5216, https://doi.org/10.5194/hess-21-5201-2017, https://doi.org/10.5194/hess-21-5201-2017, 2017
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The new SMOS satellite near-real-time (NRT) soil moisture (SM) product based on a neural network is presented. The NRT SM product has been evaluated with respect to the SMOS Level 2 product and against a large number of in situ measurements showing performances similar to those of the Level 2 product but it is available in less than 3.5 h after sensing. The new product is distributed by the European Space Agency and the European Organisation for the Exploitation of Meteorological Satellites.
Wade T. Crow, Eunjin Han, Dongryeol Ryu, Christopher R. Hain, and Martha C. Anderson
Hydrol. Earth Syst. Sci., 21, 1849–1862, https://doi.org/10.5194/hess-21-1849-2017, https://doi.org/10.5194/hess-21-1849-2017, 2017
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Terrestrial water storage is defined as the total volume of water stored within the land surface and sub-surface and is a key variable for tracking long-term variability in the global water cycle. Currently, annual variations in terrestrial water storage can only be measured at extremely coarse spatial resolutions (> 200 000 km2) using gravity-based remote sensing. Here we provide evidence that microwave-based remote sensing of soil moisture can be applied to enhance this resolution.
Stephen J. Déry, Tricia A. Stadnyk, Matthew K. MacDonald, and Bunu Gauli-Sharma
Hydrol. Earth Syst. Sci., 20, 4801–4818, https://doi.org/10.5194/hess-20-4801-2016, https://doi.org/10.5194/hess-20-4801-2016, 2016
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This manuscript focuses on observed changes to the hydrology of 42 rivers in northern Canada draining one-half of its land mass over the period 1964–2013. Statistical and trend analyses are presented for the 42 individual rivers, 6 regional drainage basins, and collectively for all of northern Canada. A main finding is the reversal of a statistically significant decline in the first half of the study period to a statistically significant 18.1 % incline in river discharge across northern Canada.
Y. Tang, H. Pang, W. Zhang, Y. Li, S. Wu, and S. Hou
Hydrol. Earth Syst. Sci., 19, 4293–4306, https://doi.org/10.5194/hess-19-4293-2015, https://doi.org/10.5194/hess-19-4293-2015, 2015
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We examined the variability of daily stable isotopic composition in precipitation in Nanjing, eastern China. We found that both the upstream rainout effect on stable isotopes related to changes in the Asian summer monsoon and the temperature effect of precipitation stable isotopes associated with the Asian winter monsoon should be taken into account when interpreting the stable isotopic composition of speleothems in the Asian monsoon region.
M. Barriendos, J. L. Ruiz-Bellet, J. Tuset, J. Mazón, J. C. Balasch, D. Pino, and J. L. Ayala
Hydrol. Earth Syst. Sci., 18, 4807–4823, https://doi.org/10.5194/hess-18-4807-2014, https://doi.org/10.5194/hess-18-4807-2014, 2014
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This paper shows an interdisciplinary effort for a common methodology on flood risk analysis: hydraullics, hydrology, climatology and meteorology. Most basic problems of work with historical information are faced. Firsts results of data collection on historical floods for Catalonia (Ne Spain) are showed for period AD 1035-2014.
L. Seoane, G. Ramillien, F. Frappart, and M. Leblanc
Hydrol. Earth Syst. Sci., 17, 4925–4939, https://doi.org/10.5194/hess-17-4925-2013, https://doi.org/10.5194/hess-17-4925-2013, 2013
E. Roget, P. Zavialov, V. Khan, and M. A. Muñiz
Hydrol. Earth Syst. Sci., 13, 2265–2271, https://doi.org/10.5194/hess-13-2265-2009, https://doi.org/10.5194/hess-13-2265-2009, 2009
Cited articles
Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003.
AghaKouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., and Hain, C. R.: Remote sensing of drought: Progress, challenges and opportunities, Rev. Geophys., 53, 452–480, https://doi.org/10.1002/2014RG000456, 2015.
Akbari Asanjan, A., Yang, T., Hsu, K., Sorooshian, S., Lin, J., and Peng, Q.: Short-Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks, J. Geophys. Res-Atmos., 123, 12543–12563, https://doi.org/10.1029/2018JD028375, 2018.
Ali, A., Amani, A., Diedhiou, A., and Lebel, T.: Rainfall Estimation in the Sahel. Part II: Evaluation of Rain Gauge Networks in the CILSS Countries and Objective Intercomparison of Rainfall Products, J. Appl. Meteorol., 44, 1707–1722, https://doi.org/10.1175/JAM2305.1, 2005.
Andrew, R. L., Guan, H., and Batelaan, O.: Large-scale vegetation responses to terrestrial moisture storage changes, Hydrol. Earth Syst. Sci., 21, 4469–4478, https://doi.org/10.5194/hess-21-4469-2017, 2017.
Bai, X., Wu, X., and Wang, P.: Blending long-term satellite-based precipitation data with gauge observations for drought monitoring: Considering effects of different gauge densities, J. Hydrol., 577, 124007, https://doi.org/10.1016/j.jhydrol.2019.124007, 2019.
Barker, L. J., Hannaford, J., Chiverton, A., and Svensson, C.: From meteorological to hydrological drought using standardised indicators, Hydrol. Earth Syst. Sci., 20, 2483–2505, https://doi.org/10.5194/hess-20-2483-2016, 2016.
Bayar, A. S., Yılmaz, M. T., Yücel, İ., and Dirmeyer, P.: CMIP6 Earth System Models Project Greater Acceleration of Climate Zone Change Due To Stronger Warming Rates, Earths Future, 11, e2022EF002972, https://doi.org/10.1029/2022EF002972, 2023.
Beck, H. E., Vergopolan, N., Pan, M., Levizzani, V., van Dijk, A. I. J. M., Weedon, G. P., Brocca, L., Pappenberger, F., Huffman, G. J., and Wood, E. F.: Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling, Hydrol. Earth Syst. Sci., 21, 6201–6217, https://doi.org/10.5194/hess-21-6201-2017, 2017.
Behrangi, A., Nguyen, H., and Granger, S.: Probabilistic Seasonal Prediction of Meteorological Drought Using the Bootstrap and Multivariate Information, J. Appl. Meteorol. Clim., 54, 1510–1522, https://doi.org/10.1175/JAMC-D-14-0162.1, 2015.
Belabid, N., Zhao, F., Brocca, L., Huang, Y., and Tan, Y.: Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products, Remote Sens.-Basel, 11, 252, https://doi.org/10.3390/rs11030252, 2019.
Boergens, E., Güntner, A., Dobslaw, H., and Dahle, C.: Quantifying the Central European Droughts in 2018 and 2019 With GRACE Follow-On, Geophys. Res. Lett., 47, e2020GL087285, https://doi.org/10.1029/2020GL087285, 2020.
Curran-Everett, D.: Explorations in statistics: standard deviations and standard errors, Adv. Physiol. Educ., 32, 203–208, https://doi.org/10.1152/advan.90123.2008, 2008.
Dai, A.: Drought under global warming: a review, WIRES Clim. Change., 2, 45–65, https://doi.org/10.1002/wcc.81, 2011.
Darand, M. and Khandu, K.: Statistical evaluation of gridded precipitation datasets using rain gauge observations over Iran, J. Arid. Environ., 178, 104172, https://doi.org/10.1016/j.jaridenv.2020.104172, 2020.
Ding, Y., Xu, J., Wang, X., Peng, X., and Cai, H.: Spatial and temporal effects of drought on Chinese vegetation under different coverage levels, Sci. Total Environ., 716, 137166, https://doi.org/10.1016/j.scitotenv.2020.137166, 2020.
Döll, P., Hasan, H. M. M., Schulze, K., Gerdener, H., Börger, L., Shadkam, S., Ackermann, S., Hosseini-Moghari, S.-M., Müller Schmied, H., Güntner, A., and Kusche, J.: Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin, Hydrol. Earth Syst. Sci., 28, 2259–2295, https://doi.org/10.5194/hess-28-2259-2024, 2024.
Eicker, A., Schumacher, M., Kusche, J., Döll, P., and Schmied, H. M.: Calibration/Data Assimilation Approach for Integrating GRACE Data into the WaterGAP Global Hydrology Model (WGHM) Using an Ensemble Kalman Filter: First Results, Surv. Geophys., 35, 1285–1309, https://doi.org/10.1007/s10712-014-9309-8, 2014.
Gebrechorkos, S. H., Leyland, J., Dadson, S. J., Cohen, S., Slater, L., Wortmann, M., Ashworth, P. J., Bennett, G. L., Boothroyd, R., Cloke, H., Delorme, P., Griffith, H., Hardy, R., Hawker, L., McLelland, S., Neal, J., Nicholas, A., Tatem, A. J., Vahidi, E., Liu, Y., Sheffield, J., Parsons, D. R., and Darby, S. E.: Global-scale evaluation of precipitation datasets for hydrological modelling, Hydrol. Earth Syst. Sci., 28, 3099–3118, https://doi.org/10.5194/hess-28-3099-2024, 2024.
Golian, S., Javadian, M., and Behrangi, A.: On the use of satellite, gauge, and reanalysis precipitation products for drought studies, Environ. Res. Lett., 14, 075005, https://doi.org/10.1088/1748-9326/ab2203, 2019.
Güntner, A., Sharifi, E., Hass, J., Boergens, E., Dahle, C., Dobslaw, H., Behzadpour, S., Boergens, E., Dahle, C., Dorigo, W., Dussailant, I., Flechtner, F., Jäggi, A., Kosmale, M., Luojus, K., Mayer-Gürr, T., Meyer, U., Preimesberger, W., Ruz Vargas, C., and Zemp, M.: Global Gravity-based Groundwater Product (G3P) (1.12), GFZ Data Services [data set], https://doi.org/10.5880/G3P.2024.001, 2024.
Harris, A., Rahman, S., Hossain, F., Yarborough, L., Bagtzoglou, A. C., and Easson, G.: Satellite-based Flood Modeling Using TRMM-based Rainfall Products, Sensors, 7, 3416–3427, https://doi.org/10.3390/s7123416, 2007.
Huffman, G. J., Behrangi, A., Bolvin, D. T., and Nelkin, E. J.: GPCP Version 3.2 Daily Precipitation Data Set, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC) [data set], https://doi.org/10.5067/MEASURES/GPCP/DATA305, 2022.
Huffman, G. J., Adler, R. F., Behrangi, A., Bolvin, D. T., Nelkin, E. J., Gu, G., and Ehsani, M. R.: The New Version 3.2 Global Precipitation Climatology Project (GPCP) Monthly and Daily Precipitation Products, J. Climate, 36, 7635–7655, https://doi.org/10.1175/JCLI-D-23-0123.1, 2023.
Humphrey, V., Rodell, M., and Eicker, A.: Using Satellite-Based Terrestrial Water Storage Data: A Review, Surv. Geophys., 44, 1489–1517, https://doi.org/10.1007/s10712-022-09754-9, 2023.
Climate Change and Infectious Diseases Group: Köppen–Geiger climate classification, the University of Veterinary Medicine, Vienna, [data set], https://koeppen-geiger.vu-wien.ac.at/present.htm (last access: 8 April 2024), 2017.
Keyantash, J. and Dracup, J. A.: The Quantification of Drought: An Evaluation of Drought Indices, B. A. Meteorol. Soc., 83, 1167–1180, https://doi.org/10.1175/1520-0477-83.8.1167, 2002.
Kottek, M., Grieser, J., Beck, C., Rudolf, B., and Rubel, F.: World Map of the Köppen-Geiger climate classification updated, Meteorol. Z., 15, 259–263, https://doi.org/10.1127/0941-2948/2006/0130, 2006.
Lai, C., Li, J., Wang, Z., Wu, X., Zeng, Z., Chen, X., Lian, Y., Yu, H., Wang, P., and Bai, X.: Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015, Remote Sens-Basel, 10, 1433, https://doi.org/10.3390/rs10091433, 2018.
Lai, C., Zhong, R., Wang, Z., Wu, X., Chen, X., Wang, P., and Lian, Y.: Monitoring hydrological drought using long-term satellite-based precipitation data, Sci. Total Environ., 649, 1198–1208, https://doi.org/10.1016/j.scitotenv.2018.08.245, 2019.
Lamptey, B. L.: Comparison of Gridded Multisatellite Rainfall Estimates with Gridded Gauge Rainfall over West Africa, J. Appl. Meteorol. Clim., 47, 185–205, https://doi.org/10.1175/2007JAMC1586.1, 2008.
Lee, D. K., In, J., and Lee, S.: Standard deviation and standard error of the mean, Korean J. Anesthesiol., 68, 220, https://doi.org/10.4097/kjae.2015.68.3.220, 2015.
Long, D., Yang, Y., Wada, Y., Hong, Y., Liang, W., Chen, Y., Yong, B., Hou, A., Wei, J., and Chen, L.: Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin, Remote Sens. Environ., 168, 177–193, https://doi.org/10.1016/j.rse.2015.07.003, 2015.
Madadgar, S. and Moradkhani, H.: Spatio-temporal drought forecasting within Bayesian networks, J. Hydrol., 512, 134–146, https://doi.org/10.1016/j.jhydrol.2014.02.039, 2014.
Maggioni, V. and Massari, C.: On the performance of satellite precipitation products in riverine flood modeling: A review, J. Hydrol., 558, 214–224, https://doi.org/10.1016/j.jhydrol.2018.01.039, 2018.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought frequency and duration to time scales, Proceedings of the 8th Conference of Applied Climatology, 17–22 January, Anaheim, CA, American Meterological Society, Boston, MA, 179–184, https://climate.colostate.edu/pdfs/relationshipofdroughtfrequency.pdf (last access: 19 July 2025), 1993.
Mishra, A. K. and Singh, V. P.: A review of drought concepts, J. Hydrol., 391, 202–216, https://doi.org/10.1016/j.jhydrol.2010.07.012, 2010.
Negrón Juárez, R. I., Li, W., Fu, R., Fernandes, K., and De Oliveira Cardoso, A.: Comparison of Precipitation Datasets over the Tropical South American and African Continents, J. Hydrometeorol., 10, 289–299, https://doi.org/10.1175/2008JHM1023.1, 2009.
Patz, J. A., Frumkin, H., Holloway, T., Vimont, D. J., and Haines, A.: Climate Change: Challenges and Opportunities for Global Health, JAMA, 312, 1565, https://doi.org/10.1001/jama.2014.13186, 2014.
Pfeffer, J., Cazenave, A., Blazquez, A., Decharme, B., Munier, S., and Barnoud, A.: Assessment of pluri-annual and decadal changes in terrestrial water storage predicted by global hydrological models in comparison with the GRACE satellite gravity mission, Hydrol. Earth Syst. Sci., 27, 3743–3768, https://doi.org/10.5194/hess-27-3743-2023, 2023.
Piao, S., Ciais, P., Huang, Y., Shen, Z., Peng, S., Li, J., Zhou, L., Liu, H., Ma, Y., Ding, Y., Friedlingstein, P., Liu, C., Tan, K., Yu, Y., Zhang, T., and Fang, J.: The impacts of climate change on water resources and agriculture in China, Nature, 467, 43–51, https://doi.org/10.1038/nature09364, 2010.
Prakash, S., Gairola, R. M., and Mitra, A. K.: Comparison of large-scale global land precipitation from multisatellite and reanalysis products with gauge-based GPCC data sets, Theor. Appl. Climatol., 121, 303–317, https://doi.org/10.1007/s00704-014-1245-5, 2015.
Rubel, F., Brugger, K., Haslinger, K., and Auer, I.: The climate of the European Alps: Shift of very high resolution Köppen-Geiger climate zones 1800–2100, Meteorol. Z., 26, 115–125, https://doi.org/10.1127/metz/2016/0816, 2017.
Schneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Ziese, M., and Rudolf, B.: GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle, Theor. Appl. Climatol., 115, 15–40, https://doi.org/10.1007/s00704-013-0860-x, 2014.
Schneider, U., Hänsel, S., Finger, P., Rustemeier, E., and Ziese, M.: GPCC Full Data Monthly Product Version 2022 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data, Global Precipitation Climatology Centre (GPCC) at Deutscher Wetterdienst [data set], https://doi.org/10.5676/DWD_GPCC/FD_M_V2022_050, 2022.
Senocak, A. U. G., Yilmaz, M. T., Kalkan, S., Yucel, I., and Amjad, M.: An explainable two-stage machine learning approach for precipitation forecast, J. Hydrol., 627, 130375, https://doi.org/10.1016/j.jhydrol.2023.130375, 2023.
Shukla, S. and Wood, A. W.: Use of a standardized runoff index for characterizing hydrologic drought, Geophys. Res. Lett., 35, 2007GL032487, https://doi.org/10.1029/2007GL032487, 2008.
Singh, A., Reager, J. T., and Behrangi, A.: Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit, Hydrol. Earth Syst. Sci., 25, 511–526, https://doi.org/10.5194/hess-25-511-2021, 2021.
Springer, A., Eicker, A., Bettge, A., Kusche, J., and Hense, A.: Evaluation of the Water Cycle in the European COSMO-REA6 Reanalysis Using GRACE, Water-Suisse, 9, 289, https://doi.org/10.3390/w9040289, 2017.
Sun, Q., Miao, C., Duan, Q., Ashouri, H., Sorooshian, S., and Hsu, K.: A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons, Rev. Geophys., 56, 79–107, https://doi.org/10.1002/2017RG000574, 2018.
Tangdamrongsub, N., Jasinski, M. F., and Shellito, P. J.: Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data, Hydrol. Earth Syst. Sci., 25, 4185–4208, https://doi.org/10.5194/hess-25-4185-2021, 2021.
Thomas, A. C., Reager, J. T., Famiglietti, J. S., and Rodell, M.: A GRACE-based water storage deficit approach for hydrological drought characterization, Geophys. Res. Lett., 41, 1537–1545, https://doi.org/10.1002/2014GL059323, 2014.
Van Lanen, H. A. J., Wanders, N., Tallaksen, L. M., and Van Loon, A. F.: Hydrological drought across the world: impact of climate and physical catchment structure, Hydrol. Earth Syst. Sci., 17, 1715–1732, https://doi.org/10.5194/hess-17-1715-2013, 2013.
Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I., Angulo, M., and El Kenawy, A.: A New Global 0.5° Gridded Dataset (1901–2006) of a Multiscalar Drought Index: Comparison with Current Drought Index Datasets Based on the Palmer Drought Severity Index, J. Hydrometeorol., 11, 1033–1043, https://doi.org/10.1175/2010JHM1224.1, 2010.
Vicente-Serrano, S. M., López-Moreno, J. I., Beguería, S., Lorenzo-Lacruz, J., Azorin-Molina, C., and Morán-Tejeda, E.: Accurate Computation of a Streamflow Drought Index, J. Hydrol. Eng., 17, 318–332, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000433, 2012.
Wahr, J., Swenson, S., Zlotnicki, V., and Velicogna, I.: Time-variable gravity from GRACE: First results, Geophys. Res. Lett., 31, 2004GL019779, https://doi.org/10.1029/2004GL019779, 2004.
Wang, Z., Zhong, R., and Lai, C.: Evaluation and hydrologic validation of TMPA satellite precipitation product downstream of the Pearl River Basin, China, Hydrol. Process., 31, 4169–4182, https://doi.org/10.1002/hyp.11350, 2017.
Watkins, M. M., Wiese, D. N., Yuan, D., Boening, C., and Landerer, F. W.: Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons, J. Geophys. Res.-Sol. Ea., 120, 2648–2671, https://doi.org/10.1002/2014JB011547, 2015.
Wehbe, Y., Ghebreyesus, D., Temimi, M., Milewski, A., and Al Mandous, A.: Assessment of the consistency among global precipitation products over the United Arab Emirates, J. Hydrol.-Reg. Stud., 12, 122–135, https://doi.org/10.1016/j.ejrh.2017.05.002, 2017.
Wei, L., Jiang, S., Ren, L., Yuan, F., and Zhang, L.: Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China, Sustainability-Basel, 11, 4969, https://doi.org/10.3390/su11184969, 2019.
Wei, L., Jiang, S., Ren, L., Wang, M., Zhang, L., Liu, Y., Yuan, F., and Yang, X.: Evaluation of seventeen satellite-, reanalysis-, and gauge-based precipitation products for drought monitoring across mainland China, Atmos. Res., 263, 105813, https://doi.org/10.1016/j.atmosres.2021.105813, 2021.
Wiese, D. N., Yuan, D.-N., Boening, C., Landerer, F. W., and Watkins, M. M.: JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height CRI Filtered Version RL06.1Mv03TS20, PO.DAAC, CA, USA [data set], https://doi.org/10.5067/TEMSC-3JC63, 2023.
Wu, X., Feng, X., Wang, Z., Chen, Y., and Deng, Z.: Multi-source precipitation products assessment on drought monitoring across global major river basins, Atmos. Res., 295, 106982, https://doi.org/10.1016/j.atmosres.2023.106982, 2023.
Xu, K., Yang, D., Yang, H., Li, Z., Qin, Y., and Shen, Y.: Spatio-temporal variation of drought in China during 1961–2012: A climatic perspective, J. Hydrol., 526, 253–264, https://doi.org/10.1016/j.jhydrol.2014.09.047, 2015.
Short summary
The study assesses the Global Precipitation Climatology Centre (GPCC) and Global Precipitation Climatology Project (GPCP) precipitation products by estimating hydrological drought recovery time (DRT) using satellite gravimetry data, Jet Propulsion Laboratory mass concentration solution (JPL mascon), and Global Gravity-based Groundwater Project (G3P) terrestrial water storage (TWS) products. The findings reveal that DRTs from GPCC and GPCP are comparable, and JPL mascon shows longer DRT, while G3P demonstrates greater consistency. These results contribute to a deeper understanding of precipitation and water storage dynamics and are essential for meteorological and hydrological research.
The study assesses the Global Precipitation Climatology Centre (GPCC) and Global Precipitation...