The climate hazards infrared precipitation with stations--a new environmental record for monitoring extremes.
Chris Funk,Pete Peterson,Martin Landsfeld,Diego Pedreros,James P. Verdin,Shraddhanand Shukla,Gregory Husak,James Rowland,Laura Harrison,Andrew Hoell,Joel Michaelsen +10 more
TLDR
The Variable Infiltration Capacity model, a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights, is presented and it is shown that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.Abstract:
The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly 1981-present 0.05° CCD-based precipitation estimates, iii) blends station data to produce a preliminary information product with a latency of about 2 days and a final product with an average latency of about 3 weeks, and iv) uses a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights. We present the CHIRPS algorithm, global and regional validation results, and show how CHIRPS can be used to quantify the hydrologic impacts of decreasing precipitation and rising air temperatures in the Greater Horn of Africa. Using the Variable Infiltration Capacity model, we show that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.read more
Citations
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Statistical evaluation of High Resolution satellite precipitation products in arid and semi‐arid parts of Ethiopia: a note for hydro‐meteorological applications
Journal ArticleDOI
Advancing Precipitation Estimation, Prediction, and Impact Studies.
Efi Foufoula-Georgiou,Clement Guilloteau,Phu Nguyen,Amir AghaKouchak,Kuolin Hsu,Antonio J. Busalacchi,F. Joseph Turk,Christa D. Peters-Lidard,Taikan Oki,Qingyun Duan,Witold F. Krajewski,Remko Uijlenhoet,Ana P. Barros,Pierre Kirstetter,W. S. Logan,Terri S. Hogue,Hoshin V. Gupta,Vincenzo Levizzani +17 more
Journal ArticleDOI
Model Selection Based on Sectoral Application Scale for Increased Value of Hydroclimate-Prediction Information
TL;DR: In this article, a disconnect between the spatial scale upon which the spatial distribution of precipitation is generated and the temporal scale of the precipitation distribution was identified as a major obstacle to water resource management decisions.
Journal ArticleDOI
Characteristics of extreme rainfall in different gridded datasets over India during 1983–2015
TL;DR: In this article , a comparative analysis of twelve gridded rainfall datasets in representing the spatial and temporal variation of extreme rainfall events and trends in the recent past (1983-2015) in India is presented.
Journal ArticleDOI
Evaluation of the Standardized Precipitation Index as an early predictor of seasonal vegetation production anomalies in the Sahel
TL;DR: In this paper, the performance and timeliness of the Standardized Precipitation Index (SPI) in anticipating deviations from mean seasonal vegetation productivity in the Sahel were analyzed.
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