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
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Child health outcomes in sub-Saharan Africa: A comparison of changes in climate and socio-economic factors
TL;DR: In this article, the authors compare changes in low birth weight and child malnutrition in 13 African countries under projected climate change versus socio-economic development scenarios, and find that the negative effects of warming and drying on child stunting could be mitigated by positive development trends associated with increasing mothers' educational status and household access to electricity.
Journal ArticleDOI
Improving Global Monthly and Daily Precipitation Estimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis Data Sets
Journal ArticleDOI
Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea
Simon Measho,Baozhang Chen,Yongyut Trisurat,Petri Pellikka,Lifeng Guo,Sunsanee Arunyawat,Venus Tuankrua,Woldeselassie Ogbazghi,Tecle Yemane +8 more
TL;DR: This study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region and immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.
Journal ArticleDOI
Utility of integrated IMERG precipitation and GLEAM potential evapotranspiration products for drought monitoring over mainland China
Shanhu Jiang,Linyong Wei,Liliang Ren,Chong-Yu Xu,Feng Zhong,Menghao Wang,Linqi Zhang,Fei Yuan,Yi Liu +8 more
TL;DR: In this article, the utility of integrated long-term satellite-based precipitation and evapotranspiration products for drought monitoring over mainland China was comprehensively evaluated, and four typical drought events were selected to analyse the ability of SPEIs to characterize the temporal-spatial evolution of drought situations.
Journal ArticleDOI
Evaluations on gridded precipitation products spanning more than half a century over the Tibetan Plateau and its surroundings
TL;DR: In this article, three gridded precipitation products (Asian Precipitation-Highly Resolved Observational Data Integration Towards Evaluation of Water Resources, APHRODITE; Climate Hazards Group InfraRed PrecIPitation with Station data, CHIRPS; and PrecIP Estimation from Remotely sensed Information using Artificial Neural Networks-Climate Data Record, PERSIANN-CDR) with the spatial resolution of 0.25° were evaluated using rain gauge data at the daily, monthly and annual scales over the Tibetan Plateau and its surrounding areas (TP).
References
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