Zimbabwe’s homogeneous precipitation regions are investigated by means of principal component analysis (PCA) with regard to the underlying processes related to ENSO and/or Indian Ocean Dipole zonal mode (IODZM). Station standardized precipitation index rather than direct rainfall values represent the data matrix used in the PCA. The results indicate that the country’s rainfall is highly homogeneous and is dominantly described by the first principal mode (PC1). This leading PC can be used to represent the major rainfall patterns affecting the country, both spatially and temporarily. The current practice of subdividing the country into the two seasonal rainfall forecast zones becomes irrelevant. Partial correlation analysis shows that PC1 is ...
<p><i>cld</i>: cloud cover; <i>pre</i>: precipitation; <i>sol</i>: extraterrestrial solar radiation;...
A principal component analysis (PCA) is applied to radio occultation vertical profiles of water vapo...
Detailed knowledge about the long-term interface of climate and rainfall variability is essential fo...
Spatial patterns of inter-annual summer rainfall variability over Zimbabwe are investigated using pr...
In this study, a multiple regression models developed to explain and predict mean annual rainfall in...
To explore the temporal and spatial variability of precipitation, a statistical tool called Principa...
Influence of low frequency global Sea Surface Temperatures (SSTs) modes on decadal rainfall modes ov...
Principal component analysis (PCA) is able to diagnose the diurnal rain cycle in the Maritime Contin...
Abstract For the study region (southern Africa), regional and remote large‐scale climate forcing pla...
This paper describes the use of unrotated principal component analysis (PCA), various oblique rotate...
Climate change has resulted in increased rainfall variability over many parts of the world including...
Large regions in India with homogeneous variability of monsoon rainfall are identified with the help...
In the face of a changing climate, knowledge on the characteristics of wet and dry summers and their...
The desk study was carried out to assess the frequency of drought associated with the various phases...
International audienceAfter removing the annual cycle, a Principal Component Analysis is applied to ...
<p><i>cld</i>: cloud cover; <i>pre</i>: precipitation; <i>sol</i>: extraterrestrial solar radiation;...
A principal component analysis (PCA) is applied to radio occultation vertical profiles of water vapo...
Detailed knowledge about the long-term interface of climate and rainfall variability is essential fo...
Spatial patterns of inter-annual summer rainfall variability over Zimbabwe are investigated using pr...
In this study, a multiple regression models developed to explain and predict mean annual rainfall in...
To explore the temporal and spatial variability of precipitation, a statistical tool called Principa...
Influence of low frequency global Sea Surface Temperatures (SSTs) modes on decadal rainfall modes ov...
Principal component analysis (PCA) is able to diagnose the diurnal rain cycle in the Maritime Contin...
Abstract For the study region (southern Africa), regional and remote large‐scale climate forcing pla...
This paper describes the use of unrotated principal component analysis (PCA), various oblique rotate...
Climate change has resulted in increased rainfall variability over many parts of the world including...
Large regions in India with homogeneous variability of monsoon rainfall are identified with the help...
In the face of a changing climate, knowledge on the characteristics of wet and dry summers and their...
The desk study was carried out to assess the frequency of drought associated with the various phases...
International audienceAfter removing the annual cycle, a Principal Component Analysis is applied to ...
<p><i>cld</i>: cloud cover; <i>pre</i>: precipitation; <i>sol</i>: extraterrestrial solar radiation;...
A principal component analysis (PCA) is applied to radio occultation vertical profiles of water vapo...
Detailed knowledge about the long-term interface of climate and rainfall variability is essential fo...