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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Assessment of satellite precipitation product estimates over Bali Island
TL;DR: In this article, the authors compared the performance of three satellite precipitation products (GSMaP, IMERG, and CHIRPS) over Bali Island from 2015 to 2017 in terms of ground rain gauge data over a high density of rain gauge stations (27 in-situ rain gauges) and at various elevations, rainfall intensities, and temporal scales.
Journal ArticleDOI
Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models
Margot Bador,Julien Boé,Laurent Terray,Lisa V. Alexander,A. Baker,Alessio Bellucci,Rein Haarsma,Torben Koenigk,Marie-Pierre Moine,Katja Lohmann,Dian Putrasahan,Christopher D. Roberts,Malcolm J. Roberts,Enrico Scoccimarro,Reinhard Schiemann,Jon Seddon,Retish Senan,Sophie Valcke,Benoit Vanniere +18 more
TL;DR: In this article, the authors assess the influence on model performance of increasing spatial resolution by evaluating pairs of high and low-resolution forced atmospheric simulations from six global climate models (generally the latest CMIP6 version) on a common 1° × 1° grid.
Journal ArticleDOI
Spatio-temporal variations in climate, primary productivity and efficiency of water and carbon use of the land cover types in Sudan and Ethiopia.
TL;DR: Results of this study revealed that NPP, WUE and CUE of the different land cover types in Ethiopia have higher magnitudes than their counterparts in Sudan, and they exhibit higher sensitivity to drought and variation in precipitation.
Journal ArticleDOI
Evaluating the performance of remotely sensed and reanalysed precipitation data over West Africa using HBV light
TL;DR: In this article, the authors evaluated the performance of satellite and reanalysis precipitation datasets for six different sized and located basins in West Africa and found that while performances differ, most datasets manage to somewhat accurately predict the observed streamflow in a given basin.
Journal ArticleDOI
Review of erosion dynamics along the major N-S climatic gradient in Chile and perspectives
Sébastien Carretier,Violeta Tolorza,Vincent Regard,Germán Aguilar,Mauricio A. Bermúdez,Joseph Martinod,Jean-Loup Guyot,Gérard Hérail,Rodrigo Riquelme +8 more
TL;DR: In this paper, the authors review the erosion rates, factors, and dynamics over millennial to daily periods reported in the literature and highlight strong limitations concerning the quantification of local erosion factors because of uncertainties in sampling point location, slope and rainfall data.
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