The use of Tropical Rainfall Measuring Mission (TRMM) data is an option for counteracting challenge of the lack of ground based observations, particularly in Kayanga/Gêba. This paper undertakes validation of monthly TRMM rainfall estimates before using it to understand the spatial and temporal variability in the Basin. This validation based on application of statistical study, made it possible to obtain interesting results with correlation coefficients varying from 0.92 to 0.96 and Nash indices close to 1. The analysis of the seasonal rainfall pattern shows consistence with ground based observations. The study of the annual cycle reveals that their interannual variability is similar to that of ground based observations. Finally, the interpo...
Satellite-based rainfall estimates are a good and cost-effective alternative to low-density rain gau...
Remote sensing allows for the continuous and repetitive measurement of rainfall values. Satellite ra...
This research compares data from the Tropical Rainfall Measuring Mission 3B42 V6 with data obtained ...
The use of Tropical Rainfall Measuring Mission (TRMM) data is an option for counteracting challenge ...
The availability of climatic data, especially on a daily time step, has become very rare in West Afr...
Precipitation is an important part of the hydrological cycle in West Africa and the Sahel that impac...
In arid and semi-arid areas, rainfall is often characterized by a strong spatial and temporal variab...
Master of Science in Engineering. University of KwaZulu-Natal, Durban 2016.Rainfall helps to structu...
The performance of the Tropical Precipitation Measurement Mission (TRMM) and its successor, Global P...
International audienceSatellite rainfall estimates (SRE) with high spatial and temporal resolution a...
In the framework of the African DAms ProjecT (ADAPT), an integrated water resource management study ...
Accurate estimation of rainfall in mountainous areas is necessary for various water resource-related...
It has been recognized that reliable, long-term and well distributed climate information is essentia...
Accurate prediction of hydrological models requires accurate spatial and temporal distribution of ra...
Six satellite-based rainfall estimates (SRFE)—namely, Climate Prediction Center (CPC) morphing techn...
Satellite-based rainfall estimates are a good and cost-effective alternative to low-density rain gau...
Remote sensing allows for the continuous and repetitive measurement of rainfall values. Satellite ra...
This research compares data from the Tropical Rainfall Measuring Mission 3B42 V6 with data obtained ...
The use of Tropical Rainfall Measuring Mission (TRMM) data is an option for counteracting challenge ...
The availability of climatic data, especially on a daily time step, has become very rare in West Afr...
Precipitation is an important part of the hydrological cycle in West Africa and the Sahel that impac...
In arid and semi-arid areas, rainfall is often characterized by a strong spatial and temporal variab...
Master of Science in Engineering. University of KwaZulu-Natal, Durban 2016.Rainfall helps to structu...
The performance of the Tropical Precipitation Measurement Mission (TRMM) and its successor, Global P...
International audienceSatellite rainfall estimates (SRE) with high spatial and temporal resolution a...
In the framework of the African DAms ProjecT (ADAPT), an integrated water resource management study ...
Accurate estimation of rainfall in mountainous areas is necessary for various water resource-related...
It has been recognized that reliable, long-term and well distributed climate information is essentia...
Accurate prediction of hydrological models requires accurate spatial and temporal distribution of ra...
Six satellite-based rainfall estimates (SRFE)—namely, Climate Prediction Center (CPC) morphing techn...
Satellite-based rainfall estimates are a good and cost-effective alternative to low-density rain gau...
Remote sensing allows for the continuous and repetitive measurement of rainfall values. Satellite ra...
This research compares data from the Tropical Rainfall Measuring Mission 3B42 V6 with data obtained ...