Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting
As elsewhere in the Tropics, the climate of Ethiopia is highly variable. Capturing its variability has been a major challenge for climate models and tools. Understanding teleconnections and predictors is, therefore, an important step towards improving the skill of seasonal and intra-seasonal climate...
| Main Authors: | , , |
|---|---|
| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/107813 |
| _version_ | 1855533590323920896 |
|---|---|
| author | Takele, Robel Tesfaye, Kindie Sibiry Traoré, Pierre C. |
| author_browse | Sibiry Traoré, Pierre C. Takele, Robel Tesfaye, Kindie |
| author_facet | Takele, Robel Tesfaye, Kindie Sibiry Traoré, Pierre C. |
| author_sort | Takele, Robel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | As elsewhere in the Tropics, the climate of Ethiopia is highly variable. Capturing its variability has been a major challenge for climate models and tools. Understanding teleconnections and predictors is, therefore, an important step towards improving the skill of seasonal and intra-seasonal climate forecasts, derivative products such as seasonal yield predictions, and climate services in general. This report presents a review of existing knowledge on teleconnections, climate predictability and seasonal to intra- seasonal climate forecasting advances and challenges for Ethiopia. Literature reviewed indicates an association between the seasonal climate of Ethiopia and seas surface temperature (SST) forcings over the Atlantic, Indian Oceans and, to a greater extent, over the equatorial Pacific along with associated atmospheric circulations. The main (Kiremt) season’s climate is strongly influenced by teleconnections with SST anomalies and the El Nino Southern Oscillation (ENSO) in the Nino-3.4 region of the equatorial Pacific and can yield moderate skill forecasts with 1 to 2 month lead time, while the Indian Ocean Dipole (IOD) has relatively stronger influence on the climates of the dry season (Bega) and small rains season (Belg). Best climate predictors and prediction skill therefore vary for the different seasons of Ethiopia. The procedures and methods used by the National Meteorology Agency (NMA) of Ethiopia to forecast seasonal and intra- seasonal climates and their pros and cons are discussed. |
| format | Artículo preliminar |
| id | CGSpace107813 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| publisherStr | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| record_format | dspace |
| spelling | CGSpace1078132024-11-08T13:34:11Z Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting Takele, Robel Tesfaye, Kindie Sibiry Traoré, Pierre C. climate change food security agriculture forecasting As elsewhere in the Tropics, the climate of Ethiopia is highly variable. Capturing its variability has been a major challenge for climate models and tools. Understanding teleconnections and predictors is, therefore, an important step towards improving the skill of seasonal and intra-seasonal climate forecasts, derivative products such as seasonal yield predictions, and climate services in general. This report presents a review of existing knowledge on teleconnections, climate predictability and seasonal to intra- seasonal climate forecasting advances and challenges for Ethiopia. Literature reviewed indicates an association between the seasonal climate of Ethiopia and seas surface temperature (SST) forcings over the Atlantic, Indian Oceans and, to a greater extent, over the equatorial Pacific along with associated atmospheric circulations. The main (Kiremt) season’s climate is strongly influenced by teleconnections with SST anomalies and the El Nino Southern Oscillation (ENSO) in the Nino-3.4 region of the equatorial Pacific and can yield moderate skill forecasts with 1 to 2 month lead time, while the Indian Ocean Dipole (IOD) has relatively stronger influence on the climates of the dry season (Bega) and small rains season (Belg). Best climate predictors and prediction skill therefore vary for the different seasons of Ethiopia. The procedures and methods used by the National Meteorology Agency (NMA) of Ethiopia to forecast seasonal and intra- seasonal climates and their pros and cons are discussed. 2020-03-19 2020-03-19T13:11:23Z 2020-03-19T13:11:23Z Working Paper https://hdl.handle.net/10568/107813 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Takele R, Tesfaye K, Traore PCS. 2020. Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting. CCAFS Working Paper No.301. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). |
| spellingShingle | climate change food security agriculture forecasting Takele, Robel Tesfaye, Kindie Sibiry Traoré, Pierre C. Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting |
| title | Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting |
| title_full | Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting |
| title_fullStr | Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting |
| title_full_unstemmed | Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting |
| title_short | Seasonal Climate Predictability in Ethiopia: Review of best predictor sets for subseasonal to seasonal forecasting |
| title_sort | seasonal climate predictability in ethiopia review of best predictor sets for subseasonal to seasonal forecasting |
| topic | climate change food security agriculture forecasting |
| url | https://hdl.handle.net/10568/107813 |
| work_keys_str_mv | AT takelerobel seasonalclimatepredictabilityinethiopiareviewofbestpredictorsetsforsubseasonaltoseasonalforecasting AT tesfayekindie seasonalclimatepredictabilityinethiopiareviewofbestpredictorsetsforsubseasonaltoseasonalforecasting AT sibirytraorepierrec seasonalclimatepredictabilityinethiopiareviewofbestpredictorsetsforsubseasonaltoseasonalforecasting |