Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe
Meteorology and weather forecasting are crucial for water-limited agriculture. We evaluate the added value of downscaling seven-months global deterministic seasonal forecasts from the Climate Forecast System version 2 (CFSv2) using the Weather, Research and Forecasting (WRF) model over Zimbabwe for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | Climate Services |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405880723000419 |
| _version_ | 1797801702984777728 |
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| author | S. Chinyoka G.J. Steeneveld |
| author_facet | S. Chinyoka G.J. Steeneveld |
| author_sort | S. Chinyoka |
| collection | DOAJ |
| description | Meteorology and weather forecasting are crucial for water-limited agriculture. We evaluate the added value of downscaling seven-months global deterministic seasonal forecasts from the Climate Forecast System version 2 (CFSv2) using the Weather, Research and Forecasting (WRF) model over Zimbabwe for ten growing seasons (2011–2021). Downscaling reduces the area of significant differences between forecasted and observed total seasonal rainfall. Downscaling also improves the score for droughts as measured through the standardized precipitation index and 3-class method. Yield forecasts by the WOrld FOod STudies (WOFOST) model reveal that downscaling improves the estimated growing season evolution and maize yield in all studied regions across the country. For the main maize production region Karoi, the bias, root mean square error, mean absolute error and mean absolute percentage error reduce by 33% (0.2 ton/ha), 27% (0.4 ton/ha), 31% (0.4 ton/ha) and 27% (8.3 %) respectively by downscaling. Hence we illustrate that downscaling the deterministic seasonal forecasts may assist in food security in a crucial area in southern Africa. |
| first_indexed | 2024-03-13T04:54:31Z |
| format | Article |
| id | doaj.art-5176d5471ef540c49928192d8ece1f9c |
| institution | Directory Open Access Journal |
| issn | 2405-8807 |
| language | English |
| last_indexed | 2024-03-13T04:54:31Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Climate Services |
| spelling | doaj.art-5176d5471ef540c49928192d8ece1f9c2023-06-18T05:02:56ZengElsevierClimate Services2405-88072023-04-0130100380Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in ZimbabweS. Chinyoka0G.J. Steeneveld1Wageningen University, Meteorology and Air Quality Section, P.O. box 47, 6700 AA, Wageningen, The NetherlandsCorresponding author.; Wageningen University, Meteorology and Air Quality Section, P.O. box 47, 6700 AA, Wageningen, The NetherlandsMeteorology and weather forecasting are crucial for water-limited agriculture. We evaluate the added value of downscaling seven-months global deterministic seasonal forecasts from the Climate Forecast System version 2 (CFSv2) using the Weather, Research and Forecasting (WRF) model over Zimbabwe for ten growing seasons (2011–2021). Downscaling reduces the area of significant differences between forecasted and observed total seasonal rainfall. Downscaling also improves the score for droughts as measured through the standardized precipitation index and 3-class method. Yield forecasts by the WOrld FOod STudies (WOFOST) model reveal that downscaling improves the estimated growing season evolution and maize yield in all studied regions across the country. For the main maize production region Karoi, the bias, root mean square error, mean absolute error and mean absolute percentage error reduce by 33% (0.2 ton/ha), 27% (0.4 ton/ha), 31% (0.4 ton/ha) and 27% (8.3 %) respectively by downscaling. Hence we illustrate that downscaling the deterministic seasonal forecasts may assist in food security in a crucial area in southern Africa.http://www.sciencedirect.com/science/article/pii/S2405880723000419Seasonal forecastingWRFCropZimbabweWOFOSTCFSv2 |
| spellingShingle | S. Chinyoka G.J. Steeneveld Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe Climate Services Seasonal forecasting WRF Crop Zimbabwe WOFOST CFSv2 |
| title | Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe |
| title_full | Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe |
| title_fullStr | Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe |
| title_full_unstemmed | Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe |
| title_short | Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe |
| title_sort | evaluation of downscaling seasonal climate forecasts for crop yield forecasting in zimbabwe |
| topic | Seasonal forecasting WRF Crop Zimbabwe WOFOST CFSv2 |
| url | http://www.sciencedirect.com/science/article/pii/S2405880723000419 |
| work_keys_str_mv | AT schinyoka evaluationofdownscalingseasonalclimateforecastsforcropyieldforecastinginzimbabwe AT gjsteeneveld evaluationofdownscalingseasonalclimateforecastsforcropyieldforecastinginzimbabwe |