FAO AGRIS - Système international des sciences et technologies agricoles

Python Climate Predictability Tool (PyCPT) training for improved seasonal climate prediction over Ethiopia

2021

Ahmed, Jemal Seid | Teshome, Asaminew | Demissie, Teferi Dejene


Informations bibliographiques
Editeur
CGIAR Research Program on Climate Change, Agriculture and Food Security
Langue
anglais
Licence
Open Access, CC-BY-NC-4.0
Type
Report
Source
Ahmed, J.S, Teshome A, Demissie T. 2021. Python Climate Predictability Tool (PyCPT) training for improved seasonal climate prediction over Ethiopia. CCAFS Workshop Report. Addis, Ababa: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
Auteur institutionnelle
World Bank

2024-10-31
2025-09-18
MODS
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