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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Drivers of Organic Carbon Stocks in Different LULC History and along Soil Depth for a 30 Years Image Time Series
Mahboobeh Tayebi,Jorge Tadeu Fim Rosas,Wanderson de Sousa Mendes,Raúl Roberto Poppiel,Yaser Ostovari,Luis Fernando Chimelo Ruiz,Natasha Valadares dos Santos,Carlos Eduardo Pellegrino Cerri,Sérgio Henrique Godinho Silva,Nilton Curi,Nélida Elizabet Quiñonez Silvero,José Alexandre Melo Demattê +11 more
TL;DR: In this paper, the impact of temporal environmental controlling factors obtained by satellite images over the soil organic carbon (SOC) stocks along soil depth, using machine learning algorithms was determined.
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Weather regimes associated with summer rainfall variability over southern Mexico
TL;DR: In this article, a self-organizing maps (SOM) analysis of sea level pressure, 850-hPa horizontal winds and 925hPa-specific humidity for the period 1997-2013 was carried out to identify the circulation patterns.
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Impact of temporal precipitation variability on ecosystem productivity
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TL;DR: In this paper, the effect of different characteristics of temporal precipitation variability on vegetation productivity has been investigated, including manipulation experiments, process-based modeling, and data-driven analysis, and the authors summarized state-of-the-art research on this topic by categorizing the results based on the characteristics of precipitation variability.
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Analysis of Agricultural Drought in East Java Using Vegetation Health Index
TL;DR: In this paper, an assessment of the impact of agricultural drought on paddy fields and rice production using VHI (Vegetation Health Index) has been conducted in East Java.
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Land use and climate change effects on water yield from East African forested water towers
Charles Nduhiu Wamucii,Pieter R. van Oel,Arend Ligtenberg,John Mwangi Gathenya,Adriaan J. Teuling +4 more
TL;DR: In this paper, the effects of climate and land use changes on water yield were analyzed using the Budyko framework as a first-order conceptual framework assuming steady-state for pristine/protected forested areas.
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