Codes used in the article "Seasonal Forecasting of East African Short Rains" by Tefera et al., 2025.

Domaine:

climate

Type de record:

software

Créateur:

Tef

Éditeur:

Hôte:

FILE DESCRIPTION Preprocess.ipynb: This Jupyter notebook preprocesses the raw netcdf files taken from the Copenicus Climate Change database to produce a reduced set of files and variables that are analyzed using a separate code. Calculations.py: This file contains the Python code used to produce climatologies, anomalies, correlations, and other statistics shown in the article. Figures.ipynb: This Jupyter notebook produces all the visuals presented in the article.

agumase/East-African-short-rains-forecasting

Python code for OND rainfall anomaly, climatology analysis and seasonal forecasting over East Africa

C3S and Met Office data used as input for hybrid seasonal forecast in East Africa during the short rains

ERA5 reanalysis and ECMWF SEAS5 seasonal forecast are obtained fro

Interannual modulation of East African early short rains by the winter Arctic Oscillation

Abstract In the present study, we analyzed the interannual linkage between the boreal winter Arctic

Seasonal forecasting of the Ethiopian summer rains

Abstract We present a new seasonal forecasting model for the June–September rains in Ethiopia. It h

Seasonal predictability of onset and cessation of the east African rains

Advanced warning of delayed onset or early cessation of the rainy seasons would be extremely valu

Drivers of Subseasonal Forecast Errors of the East African Short Rains

Abstract The ‘short rains’ in East Africa from October to December have significant year‐to‐year va