This study aimed at determining the monthly and seasonal rainfall concentration, predictability and the changes in rainfall seasons in Tanzania. Rainfall predictability was determined using Colwell’s indices, Rainfall Concentration Index (RCI) and Coefficient of Variation (CV). Results showed that rainfall in December–February (DJF), January–March (JFM) and February–April (FMA) has predictability due to constancy of 60%, RCI ≤ 9 and CV < 0.4 in Lake zone, Central zone, Southern Coast zone, Western and Southern Highlands zone. Rainfall in October to December (OND) was reliable in the Island zone, North-Eastern highlands zone and Northern coast zone with an average predictability due to constancy of 65%. In the Lake zone, all seasons (DJF,...
This research article published by IWA Publishing, 2020This study analyzed the trends and spatio-tem...
Continuous decline of natural vegetation cover has been claimed to adversely affect trends of rainfa...
The structure and variability of inter-annual and intra-seasonal circulation anomalies and their pre...
Previous studies on the variability of March to May (MAM) and October to December (OND) rainfall in ...
A study was carried in two villages of Mvomero and Makuyu of Mvomero District, Tanzania. The overall...
The study quantified rainfall variability for March–May (MAM) and October–December (OND) seasons in ...
Managing climate risk in agriculture requires a proper understanding of climatic conditions, regiona...
We investigate historical and projected precipitation in Tanzania using observational and climate mo...
Managing climate risk in agriculture requires a proper understanding of climatic conditions, regiona...
International audienceThe interannual and spatial variability of different rainfall variables is ana...
Managing climate risk in agriculture requires a proper understanding of climatic conditions, regiona...
This paper presents the recent temperature and rainfall characteristics in Dodoma region, central Ta...
Early and significant flowering of Mihemi (Erythrina abyssinica) and Mikwe (Brachystegia speciformis...
The economy of the United Republic of Tanzania (URT) relies on rain-fed agriculture; thus, climate v...
Projections of three important seasonal rainfall parameters—total precipitation ( pt), wet-day mean ...
This research article published by IWA Publishing, 2020This study analyzed the trends and spatio-tem...
Continuous decline of natural vegetation cover has been claimed to adversely affect trends of rainfa...
The structure and variability of inter-annual and intra-seasonal circulation anomalies and their pre...
Previous studies on the variability of March to May (MAM) and October to December (OND) rainfall in ...
A study was carried in two villages of Mvomero and Makuyu of Mvomero District, Tanzania. The overall...
The study quantified rainfall variability for March–May (MAM) and October–December (OND) seasons in ...
Managing climate risk in agriculture requires a proper understanding of climatic conditions, regiona...
We investigate historical and projected precipitation in Tanzania using observational and climate mo...
Managing climate risk in agriculture requires a proper understanding of climatic conditions, regiona...
International audienceThe interannual and spatial variability of different rainfall variables is ana...
Managing climate risk in agriculture requires a proper understanding of climatic conditions, regiona...
This paper presents the recent temperature and rainfall characteristics in Dodoma region, central Ta...
Early and significant flowering of Mihemi (Erythrina abyssinica) and Mikwe (Brachystegia speciformis...
The economy of the United Republic of Tanzania (URT) relies on rain-fed agriculture; thus, climate v...
Projections of three important seasonal rainfall parameters—total precipitation ( pt), wet-day mean ...
This research article published by IWA Publishing, 2020This study analyzed the trends and spatio-tem...
Continuous decline of natural vegetation cover has been claimed to adversely affect trends of rainfa...
The structure and variability of inter-annual and intra-seasonal circulation anomalies and their pre...