Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin
This "Operational SWAT+ Limpopo River Basin Seasonal Forecasting System" report outlines the development and implementation of an automated hydrological forecasting system using the Soil and Water Assessment Tool Plus (SWAT+). This system leverages publicly available global datasets and open-source...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
International Water Management Institute
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/155533 |
| _version_ | 1855526049289338880 |
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| author | Chambel-Leitão, P. Santos, F. Barreiros, D. Santos, H. Silva, Paulo Madushanka, Thilina Matheswaran, Karthikeyan Muthuwatta, Lal P. Vickneswaran, Keerththanan Retief, H. Dickens, Chris Garcia Andarcia, Mariangel |
| author_browse | Barreiros, D. Chambel-Leitão, P. Dickens, Chris Garcia Andarcia, Mariangel Madushanka, Thilina Matheswaran, Karthikeyan Muthuwatta, Lal P. Retief, H. Santos, F. Santos, H. Silva, Paulo Vickneswaran, Keerththanan |
| author_facet | Chambel-Leitão, P. Santos, F. Barreiros, D. Santos, H. Silva, Paulo Madushanka, Thilina Matheswaran, Karthikeyan Muthuwatta, Lal P. Vickneswaran, Keerththanan Retief, H. Dickens, Chris Garcia Andarcia, Mariangel |
| author_sort | Chambel-Leitão, P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This "Operational SWAT+ Limpopo River Basin Seasonal Forecasting System" report outlines the development and implementation of an automated hydrological forecasting system using the Soil and Water Assessment Tool Plus (SWAT+). This system leverages publicly available global datasets and open-source modeling tools integrated within a custom developed automated system to predict seasonal water availability in the Limpopo River Basin (LRB). Key components include integrating the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data.) and ECMWF (European Centre for Medium-Range Weather Forecasts) precipitation data, comprehensive database management, and real-time monitoring scripts. The system provides accurate and timely water availability forecasts within the LRB to support operational decision making. Future directions focus on improving model calibration, incorporating additional weather variables, better representation of large reservoirs and irrigated areas, applying database optimization procedures, and transitioning to a Docker-based deployment on Amazon Web Services (AWS) for improved scalability and reliability. This SWAT+ operational seasonal forecasting system for the LRB marks a significant step towards bridging a key knowledge gap in the basin to support better decision making on multiple water uses and users including provision for environmental flows. This seasonal forecasting system as a part of the larger river basin Digital Twin is designed to influence effective water resource management in the Southern African region. |
| format | Informe técnico |
| id | CGSpace155533 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1555332025-12-08T09:54:28Z Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin Chambel-Leitão, P. Santos, F. Barreiros, D. Santos, H. Silva, Paulo Madushanka, Thilina Matheswaran, Karthikeyan Muthuwatta, Lal P. Vickneswaran, Keerththanan Retief, H. Dickens, Chris Garcia Andarcia, Mariangel models forecasting hydrological modelling river basins soil water availability precipitation evapotranspiration reservoirs discharges monitoring datasets databases This "Operational SWAT+ Limpopo River Basin Seasonal Forecasting System" report outlines the development and implementation of an automated hydrological forecasting system using the Soil and Water Assessment Tool Plus (SWAT+). This system leverages publicly available global datasets and open-source modeling tools integrated within a custom developed automated system to predict seasonal water availability in the Limpopo River Basin (LRB). Key components include integrating the CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data.) and ECMWF (European Centre for Medium-Range Weather Forecasts) precipitation data, comprehensive database management, and real-time monitoring scripts. The system provides accurate and timely water availability forecasts within the LRB to support operational decision making. Future directions focus on improving model calibration, incorporating additional weather variables, better representation of large reservoirs and irrigated areas, applying database optimization procedures, and transitioning to a Docker-based deployment on Amazon Web Services (AWS) for improved scalability and reliability. This SWAT+ operational seasonal forecasting system for the LRB marks a significant step towards bridging a key knowledge gap in the basin to support better decision making on multiple water uses and users including provision for environmental flows. This seasonal forecasting system as a part of the larger river basin Digital Twin is designed to influence effective water resource management in the Southern African region. 2024-10-23 2024-10-23T16:01:42Z 2024-10-23T16:01:42Z Report https://hdl.handle.net/10568/155533 en Open Access application/pdf International Water Management Institute Chambel-Leitão, P.; Santos, F.; Barreiros, D.; Santos, H.; Silva, Paulo; Madushanka, Thilina; Matheswaran, Karthikeyan; Muthuwatta, Lal; Vickneswaran, Keerththanan; Retief, H.; Dickens, Chris; Garcia Andarcia, Mariangel. 2024. Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 97p. |
| spellingShingle | models forecasting hydrological modelling river basins soil water availability precipitation evapotranspiration reservoirs discharges monitoring datasets databases Chambel-Leitão, P. Santos, F. Barreiros, D. Santos, H. Silva, Paulo Madushanka, Thilina Matheswaran, Karthikeyan Muthuwatta, Lal P. Vickneswaran, Keerththanan Retief, H. Dickens, Chris Garcia Andarcia, Mariangel Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin |
| title | Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin |
| title_full | Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin |
| title_fullStr | Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin |
| title_full_unstemmed | Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin |
| title_short | Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin |
| title_sort | operational swat model advancing seasonal forecasting in the limpopo river basin |
| topic | models forecasting hydrological modelling river basins soil water availability precipitation evapotranspiration reservoirs discharges monitoring datasets databases |
| url | https://hdl.handle.net/10568/155533 |
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