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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Dry Spells, Wet Days, and Their Trends Across Southern Africa During the Summer Rainy Season
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Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran)
TL;DR: The results describe the NDVI behavior in terms of greenness, lifetime, abrupt changes for the different land covers, and across the years, suggesting how the northwest and west of the study area can be more susceptible to drought conditions.
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Influence of Precipitation Forcing Uncertainty on Hydrological Simulations with the NASA South Asia Land Data Assimilation System
Debjani Ghatak,Benjamin F. Zaitchik,Sujay V. Kumar,Mir A. Matin,Birendra Bajracharya,Christopher Hain,Martha C. Anderson +6 more
TL;DR: In this paper, the authors explored the implications of uncertainty associated with precipitation forcing for hydrological simulations by driving the South Asia Land Data Assimilation System (South Asia LDAS) using a range of meteorological forcing products.
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Projected changes in rainfall and temperature over the Philippines from multiple dynamical downscaling models
II Marcelino Q. Villafuerte,Ian Macadam,Joseph Daron,Jack Katzfey,Thelma A. Cinco,Emma D. Ares,Richard G. Jones +6 more
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Preliminary Utility of the Retrospective IMERG Precipitation Product for Large-Scale Drought Monitoring over Mainland China
TL;DR: The outcomes of this study demonstrate that the retrospective IMERG can provide a more competent data source and potential opportunity for better drought monitoring utility across mainland China, particularly for eastern China.
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