Development and assessment of seasonal rainfall forecasting models for the bani and the Senegal basins by identifying the best predictive teleconnection

The high variability of rainfall in the Sahel region causes droughts and floods that affect millions of people every year. Several rainfall forecasting models have been proposed, but the results still need to be improved. In this study, linear, polynomial, and exponential models are developed to for...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Khaliduo Mamadou, Baá, Minga León, Saula Verónica, Gaona, Gabriel V., Gómez Albores, Miguel Angel, Díaz Delgado, Carlos, Balcazar, Luis
Format: Article in Journal/Newspaper
Language:Spanish
Published: 2022
Subjects:
SST
Sahel
RHUM
Persiann-CDR
Model
MSLP
Bani
Nash
Sutcliffe
North Atlantic
Online Access:http://dspace.ucuenca.edu.ec/handle/123456789/40640
https://www.scopus.com/record/display.uri?eid=2-s2.0-85144814083&origin=resultslist&sort=cp-f&src=s&st1=Development+and+Assessment+of+Seasonal+Rainfall+Forecasting+Models+for+the+Bani+and+the+Senegal+Basins+by+Identifying+the+Best+Predictive+Teleconnection&sid=42708a3b44795ac4c02f52b41c391b55&sot=b&sdt=b&sl=167&s=TITLE-ABS-KEY%28Development+and+Assessment+of+Seasonal+Rainfall+Forecasting+Models+for+the+Bani+and+the+Senegal+Basins+by+Identifying+the+Best+Predictive+Teleconnection%29&relpos=0&citeCnt=0&searchTerm=
https://doi.org/10.3390/rs14246397

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