Accueil
Atlas
Analyses
Documentation
Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Optimal feature selection for improved ML based reconstruction of Global Terrestrial Water Storage Anomalies

Type de record:

softwaredataset

Créateur:

ManChaDas

Éditeur:

fig

Hôte:

Data and Codes for our publications

Visit

Tags

Surface water hydrology

Licenses

Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode

Similaires

Terrestrial Water Storage ForecastsEstimating Long-Term Groundwater Storage Change in the Chad Basin, Nigeria, Using GRACE/GRACE-FO and GLDAS Terrestrial Water Storage AnomaliesEfficient feature descriptor selection for improved Arabic handwritten words recognitionThe efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over AfricaAssessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in AfricaDataSheet1_Assessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in Africa.docx

Terrestrial Water Storage Forecasts

The terrestrial water storage (TWS) forecasts are produced using the Catchment Land Surface Model (C

Estimating Long-Term Groundwater Storage Change in the Chad Basin, Nigeria, Using GRACE/GRACE-FO and GLDAS Terrestrial Water Storage Anomalies

Abstract. The Chad Basin is the main source of fresh water to over 30 million people in the semi-ari

Efficient feature descriptor selection for improved Arabic handwritten words recognition

Arabic handwritten text recognition has long been a difficult subject, owin

The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa

Abstract Terrestrial water storage (TWS) provides important information on terrestrial hydroclimate

Assessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in Africa

Leakage errors derived from spatial filters are the major limitation for estimating terrestrial wate

DataSheet1_Assessment of GRACE/GRACE Follow-On Terrestrial Water Storage Estimates Using an Improved Forward Modeling Method: A Case Study in Africa.docx

Leakage errors derived from spatial filters are the major limitation for estimating terrestrial w