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...

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Main Authors: Takele, Robel, Tesfaye, Kindie, Sibiry Traoré, Pierre C.
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
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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.
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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
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