Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2687-2020
© Author(s) 2020. 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-24-2687-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A daily 25 km short-latency rainfall product for data-scarce regions based on the integration of the Global Precipitation Measurement mission rainfall and multiple-satellite soil moisture products
Christian Massari
CORRESPONDING AUTHOR
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council (CNR), Perugia, Italy
Luca Brocca
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council (CNR), Perugia, Italy
Thierry Pellarin
Institut des Géosciences de l’Environnement (IGE), Research Unit of CNRS, Grenoble INP, IRD and Université Grenoble Alpes, Grenoble 38000, France
Gab Abramowitz
ARC Centre of Excellence for Climate Extremes, University of New South Wales (UNSW), Sydney, Australia
Paolo Filippucci
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council (CNR), Perugia, Italy
Luca Ciabatta
Research Institute for Geo-Hydrological Protection (IRPI), National Research Council (CNR), Perugia, Italy
Viviana Maggioni
Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA, USA
Yann Kerr
Centre d’Etudes Spatiales de la BIOsphère (CESBIO), Université Toulouse 3,CNES, CNRS, IRD, Toulouse 31401, France
Diego Fernandez Prieto
European Space Agency (ESA), Frascati, Italy
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Cited
44 citations as recorded by crossref.
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- Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
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- Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. 10.5194/hess-24-3725-2020
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- Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia J. Peng et al. 10.3390/rs13020221
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- Comprehensive Comparisons of State-of-the-Art Gridded Precipitation Estimates for Hydrological Applications over Southern China Z. Gao et al. 10.3390/rs12233997
- A Satellite-Based Approach for Quantifying Terrestrial Water Cycle Intensity F. Zowam et al. 10.3390/rs15143632
- Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. 10.3390/rs15102600
- Review on spatial downscaling of satellite derived precipitation estimates M. Kofidou et al. 10.1007/s12665-023-11115-7
- Integration of Satellite-Derived and Ground-Based Soil Moisture Observations for a Precipitation Product over the Upper Heihe River Basin, China Y. Zhang et al. 10.3390/rs14215355
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- The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison T. Pellarin et al. 10.3390/rs12030481
- Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. 10.1007/s10346-020-01592-3
42 citations as recorded by crossref.
- Impacts of Gauge Data Bias on the Performance Evaluation of Satellite-Based Precipitation Products in the Arid Region of Northwestern China W. Xie et al. 10.3390/w14121860
- Precipitation data merging via machine learning: Revisiting conceptual and technical aspects P. Kossieris et al. 10.1016/j.jhydrol.2024.131424
- Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms M. Jamei et al. 10.1016/j.agwat.2022.107679
- Toward a self-calibrated and independent SM2RAIN rainfall product P. Filippucci et al. 10.1016/j.jhydrol.2021.126837
- A framework for merging precipitation retrievals and gauge-based observations based on a novel concept namely virtual gauges Y. Dou et al. 10.1016/j.jhydrol.2023.129506
- Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso R. Yonaba et al. 10.1080/10106049.2024.2391956
- High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
- Evaporation enhancement drives the European water-budget deficit during multi-year droughts C. Massari et al. 10.5194/hess-26-1527-2022
- Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards G. Moura Ramos Filho et al. 10.1016/j.atmosres.2022.106259
- Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height M. Karbasi et al. 10.1016/j.jclepro.2022.134820
- Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments A. Almagro et al. 10.1016/j.jhydrol.2021.126897
- Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al. 10.5194/hess-25-3267-2021
- A deep learning-based framework for multi-source precipitation fusion K. Gavahi et al. 10.1016/j.rse.2023.113723
- A comprehensive assessment of SM2RAIN-NWF using ASCAT and a combination of ASCAT and SMAP soil moisture products for rainfall estimation M. Saeedi et al. 10.1016/j.scitotenv.2022.156416
- Merging Satellite Products and Rain-Gauge Observations to Improve Hydrological Simulation: A Review H. Belay et al. 10.3390/earth3040072
- Multi-criteria evaluation of satellite-based precipitation estimates over agro-climatic zones of India D. Dayal et al. 10.1016/j.atmosres.2023.106879
- Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
- Improved Flood Forecasting in Basins With No Precipitation Stations: Constrained Runoff Correction Using Multiple Satellite Precipitation Products Y. Dou et al. 10.1029/2021WR029682
- Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. 10.5194/hess-24-3725-2020
- Investigating the utility of satellite-based precipitation products for simulating extreme discharge events: an exhaustive model-driven approach for a tropical river basin in India D. Dayal et al. 10.1007/s10661-024-12746-4
- Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia J. Peng et al. 10.3390/rs13020221
- SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. 10.5194/essd-14-4473-2022
- Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau L. Miao et al. 10.1109/JSTARS.2023.3296455
- Hydrologic applicability of satellite-based precipitation estimates for irrigation water management in the data-scarce region S. Bista et al. 10.1016/j.jhydrol.2024.131310
- A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong A. Tiwari et al. 10.1038/s41597-023-02193-0
- Hydrological assessment of different satellite precipitation products in semi-arid basins in Morocco E. El Khalki et al. 10.3389/frwa.2023.1243251
- Comprehensive Evaluations on the Error Characteristics of the State‐of‐the‐Art Gridded Precipitation Products Over Jiangxi Province in 2019 T. Hong et al. 10.1029/2021EA001787
- Assessment of GPM Satellite Precipitation Performance after Bias Correction, for Hydrological Modeling in a Semi-Arid Watershed (High Atlas Mountain, Morocco) M. Benkirane et al. 10.3390/atmos14050794
- Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran M. Goodarzi et al. 10.1007/s11600-023-01177-3
- Performance evaluation of four remote-sensing products throughout precipitation estimation in the State of Paraíba, Northeast Brazil F. Costa et al. 10.1016/j.rsase.2024.101256
- Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage J. Qquenta et al. 10.3390/rs16010011
- High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study P. Filippucci et al. 10.5194/hess-26-2481-2022
- River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa L. Brocca et al. 10.1038/s41598-020-69343-x
- Which Rainfall Errors Can Hydrologic Models Handle? Implications for Using Satellite‐Derived Products in Sparsely Gauged Catchments C. Stephens et al. 10.1029/2020WR029331
- Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling J. Yin et al. 10.1016/j.jhydrol.2020.125878
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Comprehensive Comparisons of State-of-the-Art Gridded Precipitation Estimates for Hydrological Applications over Southern China Z. Gao et al. 10.3390/rs12233997
- A Satellite-Based Approach for Quantifying Terrestrial Water Cycle Intensity F. Zowam et al. 10.3390/rs15143632
- Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. 10.3390/rs15102600
- Review on spatial downscaling of satellite derived precipitation estimates M. Kofidou et al. 10.1007/s12665-023-11115-7
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- The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison T. Pellarin et al. 10.3390/rs12030481
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Latest update: 20 Nov 2024
Short summary
Rain gauges are unevenly spaced around the world with extremely low gauge density over places like Africa and South America. Here, water-related problems like floods, drought and famine are particularly severe and able to cause fatalities, migration and diseases. We have developed a rainfall dataset that exploits the synergies between rainfall and soil moisture to provide accurate rainfall observations which can be used to face these problems.
Rain gauges are unevenly spaced around the world with extremely low gauge density over places...