Developing timely and actionable drought forecasts for the Limpopo River Basin

Southern Africa is highly drought-prone, and its agricultural and hydrological systems are vulnerable. Climate forecasts provide tools for decision-making and adaptation to climate extreme events. This report presents the preliminary results regarding the development of seasonal drought forecasts fo...

Full description

Bibliographic Details
Main Author:	Montes, Carlo
Format:	Informe técnico
Language:	Inglés
Published:	International Maize and Wheat Improvement Center 2022
Subjects:	drought forecasting climate change adaptation machine learning
Online Access:	https://hdl.handle.net/10568/128080

Similar Items: Developing timely and actionable drought forecasts for the Limpopo River Basin

Quick Look
Experimental drought forecast for Limpopo River Basin
Quick Look
Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya
Quick Look
Status of irrigated area in the Limpopo River Basin: July 2024
Quick Look
Status of irrigated area in the Limpopo River Basin: June 2024
Quick Look
Next-generation hybrid precipitation forecasts that integrate Indigenous knowledge
Quick Look
Predicting high-magnitude, low-frequency crop losses using machine learning: An application to cereal crops in Ethiopia
Quick Look
A new framework for predicting and understanding flowering time for crop breeding
Quick Look
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in west Africa
Quick Look
Drought vulnerability of central Sahel agrosystems: a modelling-approach based on magnitudes of changes and machine learning techniques
Quick Look
Forecasting commodity prices using long-short-term memory neural networks
Quick Look
Using machine learning tools for salinity forecasting to support irrigation management and decision-making in a polder of coastal Bangladesh
Quick Look
Performance of C3S seasonal forecast models for mean rainfall over the Limpopo Basin of Southern Africa
Quick Look
Modelling agricultural drought: a review of latest advances in big data technologies
Quick Look
Deep learning methods improve genomic prediction of wheat breeding
Quick Look
Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production
Quick Look
Performance evaluation of ECMWF monthly rainfall forecasts in the Limpopo River Basin
Quick Look
Drought forecasting using artificial neural networks and time series of drought indices
Quick Look
Farmers agronomic management responses to extreme drought and rice yields in Bihar, India
Quick Look
Assessing climate resilience in rice production: Measuring the impact of the Millennium Challenge Corporation’s IWRM scheme in the Senegal River Valley using remote sensing and machine learning
Quick Look
Operational SWAT+ model: advancing seasonal forecasting in the Limpopo River Basin
Quick Look
Drivers of maize yield variability at household level in northern Ghana and Malawi
Quick Look
Farmers agronomic management responses to extreme drought and rice yields in Bihar, India
Quick Look
Towards operational streamflow forecasting in the Limpopo River Basin using long short-term memory networks
Quick Look
Advancing food security: rice yield estimation framework using time-series satellite data & machine learning