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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Detecting vulnerability of humid tropical forests to multiple stressors
Sassan Saatchi,Sassan Saatchi,Marcos Longo,Liang Xu,Yan Yang,Hitofumi Abe,Michel André,Juliann E. Aukema,Nuno Carvalhais,Nuno Carvalhais,Hinsby Cadillo-Quiroz,Gillian Ann Cerbu,Janet Chernela,Kristofer R. Covey,Lina María Sánchez-Clavijo,Isai V. Cubillos,Stuart J. Davies,Veronique De Sy,Francois De Vleeschouwer,Alvaro Duque,Alice M. S. Durieux,Katia Fernandes,Luis E. Fernandez,Victoria Gammino,Dennis Garrity,David Gibbs,Lucy Gibbon,Gae Yansom Gowae,Matthew C. Hansen,Nancy L. Harris,Sean P. Healey,Robert G. Hilton,Christine May Johnson,Richard Sufo Kankeu,Nadine Therese Laporte-Goetz,Hyongki Lee,Thomas E. Lovejoy,Margaret Lowman,Raymond Sinsi Lumbuenamo,Yadvinder Malhi,Jean-Michel Martinez,Carlos A. Nobre,Adam F. A. Pellegrini,Jeremy Radachowsky,Francisco Román,Diane Russell,Douglas Sheil,Thomas B. Smith,Robert G. M. Spencer,Fred Stolle,Hesti Lestari Tata,Dennis Del Castillo Torres,Raphael Tshimanga,Rodrigo Vargas,Michelle Venter,Joshua West,Atiek Widayati,Sylvia Wilson,Steven P. Brumby,Aurora C. Elmore +59 more
TL;DR: This paper developed a tropical forest vulnerability index (TFVI) to detect and evaluate the vulnerability of global tropical forests to threats across space and time, and showed that climate change together with land-use change have slowed the recovery rate of forest carbon cycling.
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Assessment of rainfall variability and future change in Brazil across multiple timescales
Lincoln M. Alves,Robin Chadwick,Robin Chadwick,Aurel Moise,Josephine R. Brown,José A. Marengo +5 more
TL;DR: In this article, the authors assess the change in precipitation variability, applying a band-pass filter to isolate variability on daily, weekly, monthly, intra-seasonal, and El Nino Southern Oscillation (ENSO) time scales.
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Bias correction of daily satellite-based rainfall estimates for hydrologic forecasting in the Upper Zambezi, Africa
Rodrigo Valdés-Pineda,Eleonora M. C. Demaria,Eleonora M. C. Demaria,Juan B. Valdés,Sungwook Wi,Sungwook Wi,Aleix Serrat-Capdevilla,Aleix Serrat-Capdevilla +7 more
TL;DR: In this article, bias correction was used for real-time forecasting of streamflows at Katima Mulilo in the Upper Zambezi River Basin (UZRB) in Southern Africa.
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