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Rodrigues do Amaral F, Trung TN, Pellarin T, Gratiot N. Datasets of high-resolution water level and discharge from the Saigon-Dong Nai estuary system impacted by a developing megacity, Ho Chi Minh City - Vietnam. Data Brief 2023; 48:109147. [PMID: 37128590 PMCID: PMC10148087 DOI: 10.1016/j.dib.2023.109147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 05/03/2023] Open
Abstract
We present a new hydrological dataset collected during a field campaign in the Saigon-Dong Nai estuary system, Vietnam. These data include water level and water temperature measurements at five locations along the Saigon river and 2 locations along the Dong Nai river as well as discharge measurements from four 24-hour Acoustic Doppler Current Profiler (ADCP) campaigns at 2 locations in the Saigon river and 1 location in the Dong Nai river. Additionally, water level was barometrically compensated using air pressure measurements. Data were sampled between October 21st, 2022 and December 16th, 2022 and are provided in three processing stages namely, direct measurements as provided by the sensors (raw), barometricaly compensated measurements (pre-processed) and corrected measurements (post-processed). Even though of short duration (about 2 months), this dataset provides water level measurements at unprecedented spatial and temporal resolution in a region where data is scarce and not freely available. The synchronous logging of multiple water level sensors along river provides an opportunity to study profiles of water surface slope and upstream tidal propagation. Furthermore, the concurrent discharge measurements can be used to calibrate hydrological and/or hydraulic models of this estuary system. Additionally, the spatial resolution of this dataset is similar to the prospective measurements that the novel Surface Water and Ocean Topography (SWOT) satellite will provide. Thus, it enables the study of synthetic SWOT measurements to evaluate the future potential of the SWOT satellite over this estuary system.
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Affiliation(s)
| | - Tin Nguyen Trung
- CARE, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam
| | - Thierry Pellarin
- Université Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France
| | - Nicolas Gratiot
- Université Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France
- CARE, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam
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Brocca L, Massari C, Pellarin T, Filippucci P, Ciabatta L, Camici S, Kerr YH, Fernández-Prieto D. River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa. Sci Rep 2020; 10:12517. [PMID: 32719498 PMCID: PMC7385167 DOI: 10.1038/s41598-020-69343-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 07/08/2020] [Indexed: 12/04/2022] Open
Abstract
Satellite precipitation products have been largely improved in the recent years particularly with the launch of the global precipitation measurement (GPM) core satellite. Moreover, the development of techniques for exploiting the information provided by satellite soil moisture to complement/enhance precipitation products have improved the accuracy of accumulated rainfall estimates over land. Such satellite enhanced precipitation products, available with a short latency (< 1 day), represent an important and new source of information for river flow prediction and water resources management, particularly in developing countries in which ground observations are scarcely available and the access to such data is not always ensured. In this study, three recently developed rainfall products obtained from the integration of GPM rainfall and satellite soil moisture products have been used; namely GPM+SM2RAIN, PRISM-SMOS, and PRISM-SMAP. The prediction of observed daily river discharge at 10 basins located in Europe (4), West Africa (3) and South Africa (3) is carried out. For comparison, we have also considered three rainfall products based on: (1) GPM only, i.e., the Early Run version of the Integrated Multi-Satellite Retrievals for GPM (GPM-ER), (2) rain gauges, i.e., the Global Precipitation Climatology Centre, and (3) the latest European Centre for Medium-Range Weather Forecasts reanalysis, ERA5. Three different conceptual and lumped rainfall-runoff models are employed to obtain robust and reliable results over the 3-year data period 2015–2017. Results indicate that, particularly over scarcely gauged areas (West Africa), the integrated products outperform both ground- and reanalysis-based rainfall estimates. For all basins, the GPM+SM2RAIN product is performing the best among the short latency products with mean Kling–Gupta Efficiency (KGE) equal to 0.87, and significantly better than GPM-ER (mean KGE = 0.77). The integrated products are found to reproduce particularly well the high flows. These results highlight the strong need to disseminate such integrated satellite rainfall products for hydrological (and agricultural) applications in poorly gauged areas such as Africa and South America.
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Affiliation(s)
- Luca Brocca
- Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128, Perugia, Italy.
| | - Christian Massari
- Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128, Perugia, Italy
| | - Thierry Pellarin
- University Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE, 38000, Grenoble, France
| | - Paolo Filippucci
- Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128, Perugia, Italy
| | - Luca Ciabatta
- Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128, Perugia, Italy
| | - Stefania Camici
- Research Institute for Geo-Hydrological Protection, National Research Council, Via della Madonna Alta 126, 06128, Perugia, Italy
| | - Yann H Kerr
- Centre d'Etudes Spatiales de la BIOsphère, Université Toulouse 3 CNES CNRS IRD, INRA, Toulouse, France
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Escorihuela MJ, Merlin O, Stefan V, Moyano G, Eweys OA, Zribi M, Kamara S, Benahi AS, Ebbe MAB, Chihrane J, Ghaout S, Cissé S, Diakité F, Lazar M, Pellarin T, Grippa M, Cressman K, Piou C. SMOS based high resolution soil moisture estimates for desert locust preventive management. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.rsase.2018.06.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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de Rosnay P, Drusch M, Boone A, Balsamo G, Decharme B, Harris P, Kerr Y, Pellarin T, Polcher J, Wigneron JP. AMMA Land Surface Model Intercomparison Experiment coupled to the Community Microwave Emission Model: ALMIP-MEM. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2008jd010724] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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