The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison
Near real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over th...
| Authors: | ; ; ; ; ; ; ; ; ; ; ; ; |
|---|---|
| Format: | Article |
| Publication date: | 2020 |
| Country: | España |
| Institution: | Universidad Complutense de Madrid (UCM) |
| Repository: | Docta Complutense |
| Language: | English |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/8257 |
| Online Access: | https://hdl.handle.net/20.500.14352/8257 |
| Access Level: | Open access |
| Keyword: | precipitation soil moisture Africa satellite rainfall products comparison Física atmosférica Meteorología (Física) 2501 Ciencias de la Atmósfera |
| _version_ | 1878739405973225473 |
|---|---|
| author | Pellarin, Thierry |
| author2 | Román Cascón, Carlos Baron, Christian Bindlish, Rajat Brocca, Luca Camberlin, Pierre Fernández-Prieto, Diego Kerr, Yann H. Massari, Christian Panthou, Geremy Perrimond, Benoit Philippon, Nathalie Quantin, Guillaume |
| author2_role | author author author author author author author author author author author author |
| author_browse | Baron, Christian Bindlish, Rajat Brocca, Luca Camberlin, Pierre Fernández-Prieto, Diego Kerr, Yann H. Massari, Christian Panthou, Geremy Pellarin, Thierry Perrimond, Benoit Philippon, Nathalie Quantin, Guillaume Román Cascón, Carlos |
| author_facet | Pellarin, Thierry Román Cascón, Carlos Baron, Christian Bindlish, Rajat Brocca, Luca Camberlin, Pierre Fernández-Prieto, Diego Kerr, Yann H. Massari, Christian Panthou, Geremy Perrimond, Benoit Philippon, Nathalie Quantin, Guillaume |
| author_role | author |
| collection | Docta Complutense |
| description | Near real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over the past decades, satellite precipitation products still suffer from quantitative uncertainties and biases compared to ground data. Consequently, almost all precipitation products are provided in two modes: a real-time mode (also called early-run or raw product) and a corrected mode (also called final-run, adjusted or post-processed product) in which ground precipitation measurements are integrated in algorithms to correct for bias, generally at a monthly timescale. This paper describes a new methodology to provide a near-real-time precipitation product based on satellite precipitation and soil moisture measurements. Recent studies have shown that soil moisture intrinsically contains information on past precipitation and can be used to correct precipitation uncertainties. The PrISM (Precipitation inferred from Soil Moisture) methodology is presented and its performance is assessed for five in situ rainfall measurement networks located in Africa in semi-arid to wet areas: Niger, Benin, Burkina Faso, Central Africa, and East Africa. Results show that the use of SMOS (Soil Moisture and Ocean Salinity) satellite soil moisture measurements in the PrISM algorithm most often improves the real-time satellite precipitation products, and provides results comparable to existing adjusted products, such as TRMM (Tropical Rainfall Measuring Mission), GPCC (Global Precipitation Climatology Centre) and IMERG (Integrated Multi-satellitE Retrievals for GPM), which are available a few weeks or months after their detection. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_c0dffc2a9bdc024b33aefa7bfb2dabfc |
| institution | Universidad Complutense de Madrid (UCM) |
| instname_str | Universidad Complutense de Madrid (UCM) |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:docta.ucm.es:20.500.14352/8257 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| reponame_str | Docta Complutense |
| spelling | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison Pellarin, Thierry Román Cascón, Carlos Baron, Christian Bindlish, Rajat Brocca, Luca Camberlin, Pierre Fernández-Prieto, Diego Kerr, Yann H. Massari, Christian Panthou, Geremy Perrimond, Benoit Philippon, Nathalie Quantin, Guillaume precipitation soil moisture Africa satellite rainfall products comparison Física atmosférica Meteorología (Física) 2501 Ciencias de la Atmósfera Near real-time precipitation is essential to many applications. In Africa, the lack of dense rain-gauge networks and ground weather radars makes the use of satellite precipitation products unavoidable. Despite major progresses in estimating precipitation rate from remote sensing measurements over the past decades, satellite precipitation products still suffer from quantitative uncertainties and biases compared to ground data. Consequently, almost all precipitation products are provided in two modes: a real-time mode (also called early-run or raw product) and a corrected mode (also called final-run, adjusted or post-processed product) in which ground precipitation measurements are integrated in algorithms to correct for bias, generally at a monthly timescale. This paper describes a new methodology to provide a near-real-time precipitation product based on satellite precipitation and soil moisture measurements. Recent studies have shown that soil moisture intrinsically contains information on past precipitation and can be used to correct precipitation uncertainties. The PrISM (Precipitation inferred from Soil Moisture) methodology is presented and its performance is assessed for five in situ rainfall measurement networks located in Africa in semi-arid to wet areas: Niger, Benin, Burkina Faso, Central Africa, and East Africa. Results show that the use of SMOS (Soil Moisture and Ocean Salinity) satellite soil moisture measurements in the PrISM algorithm most often improves the real-time satellite precipitation products, and provides results comparable to existing adjusted products, such as TRMM (Tropical Rainfall Measuring Mission), GPCC (Global Precipitation Climatology Centre) and IMERG (Integrated Multi-satellitE Retrievals for GPM), which are available a few weeks or months after their detection. MDPI https://hdl.handle.net/20.500.14352/8257 |
| spellingShingle | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison Pellarin, Thierry precipitation soil moisture Africa satellite rainfall products comparison Física atmosférica Meteorología (Física) 2501 Ciencias de la Atmósfera |
| title | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison |
| title_full | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison |
| title_fullStr | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison |
| title_full_unstemmed | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison |
| title_short | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison |
| title_sort | The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison |
| topic | precipitation soil moisture Africa satellite rainfall products comparison Física atmosférica Meteorología (Física) 2501 Ciencias de la Atmósfera |
| topic_facet | precipitation soil moisture Africa satellite rainfall products comparison Física atmosférica Meteorología (Física) 2501 Ciencias de la Atmósfera |
| url | https://hdl.handle.net/20.500.14352/8257 |