Time series
; Water resources
; Africa
; Data assimilation
; Extreme events
; Maximum and minimum temperatures
; Mean annual precipitation
; Statistical significance
; Temporal inhomogeneities
; Trends
; Quality control
; climate change
; data assimilation
; data set
; drought
; extreme event
; meteorology
; spatial analysis
; spatial resolution
; time series
; trend analysis
; Sahel [Sub-Saharan Africa]
Princeton University, Princeton, NJ, United States; Iowa Institute of Hydraulic Research-Hydroscience and Engineering, University of Iowa, Iowa City, IA, United States; Princeton University, Princeton, NJ, United States
Recommended Citation:
Chaney N.W.,Sheffield J.,Villarini G.,et al. Development of a high-resolution gridded daily meteorological dataset over sub-Saharan Africa: Spatial analysis of trends in climate extremes[J]. Journal of Climate,2014-01-01,27(15)