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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Validation of CHIRPS precipitation dataset along the Central Andes of Argentina
TL;DR: A validation of the CHIRPS precipitation dataset was performed over the Central Andes of Argentina (CAA), a semi-arid region with complex topography and sparse ground observations.
Journal ArticleDOI
Attribution Analysis of the Ethiopian Drought of 2015
Sjoukje Philip,Sarah F. Kew,Geert Jan van Oldenborgh,Friederike E. L. Otto,Sarah O’Keefe,Karsten Haustein,Andrew D. King,Abiy Zegeye,Zewdu Eshetu,Kinfe Hailemariam,Roop Singh,Eddie Jjemba,Chris Funk,Heidi Cullen +13 more
TL;DR: In northern and central Ethiopia, 2015 was a very dry year as discussed by the authors, with rainfall only from one-half to three-quarters of the usual amount, with both the "belg" (February-May) and "kiremt" (Ju...
Journal ArticleDOI
Validation of IMERG Precipitation in Africa
Amin K. Dezfuli,Amin K. Dezfuli,Charles Ichoku,George J. Huffman,Karen I. Mohr,John S. Selker,Nick van de Giesen,Rebecca Hochreutener,F. O. Annor,F. O. Annor +9 more
TL;DR: This work validates IMERG-V04A precipitation data using in-situ observations from the Trans-African Hydro-Meteorological Observatory (TAHMO) project and indicates that IMERG seems to have achieved a reduction in the positive bias evident in TMPA over Lake Victoria.
Journal ArticleDOI
Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data
TL;DR: Inclusion of the global soil moisture data into GEE data catalog and the development of the web-based tools described in the paper enable a vast diversity of users to quickly and easily assess the impact of drought and improve planning related to drought risk assessment and early warning.
Journal ArticleDOI
Evaluation of multiple climate data sources for managing environmental resources in East Africa
TL;DR: In this paper, a combination of accessible data sources based on station data, earth observations by remote sensing, and regional climate models is used to overcome the lack of sufficiently long-term and spatiallyrepresentative observed climate data.
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