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
More filters
Journal ArticleDOI
A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan
Gijs Simons,Wim G.M. Bastiaanssen,Muhammad Jehanzeb Masud Cheema,B. Ahmad,Walter W. Immerzeel +4 more
TL;DR: In this paper, the authors demonstrate a method for spatial quantification of the consumed fraction (CF) of withdrawn irrigation water based on satellite remote sensing and the Budyko Hypothesis.
Journal ArticleDOI
PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies.
Mojtaba Sadeghi,Phu Nguyen,Matin Rahnamay Naeini,Kuolin Hsu,Dan Braithwaite,Soroosh Sorooshian +5 more
TL;DR: The PERSIANN-CCS-CDR as mentioned in this paper dataset provides precipitation estimates at 0.04° spatial and 3-hourly temporal resolutions from 1983 to present over the global domain of 60°S to 60°N.
Journal ArticleDOI
Multi-layer high-resolution soil moisture estimation using machine learning over the United States
TL;DR: In this article, a machine learning algorithm using the concept of learning from patterns to estimate the multi-layer soil moisture (SM) profile (signals) remains a persistent challenge in sustainable agricultural water management and food security, especially during drought conditions.
Journal ArticleDOI
A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–2020
TL;DR: In this paper, the water storage dynamics and extremes in the basin during 2002-2020 were quantified, for the first time, using GRACE (Follow-On) based terrestrial water storage anomaly (TWSA) with the help of a novel artificial neural network-based model for the data gap filling.
Journal ArticleDOI
Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua
TL;DR: In this paper, a random forest machine learning algorithm using reference data from two field surveys produced a 90.5% accuracy across ten classes of land cover, with an 82.1% and 80.0% user's and producer's accuracy respectively for shade-grown coffee.
References
More filters
Journal ArticleDOI
The ERA-Interim reanalysis: configuration and performance of the data assimilation system
Dick Dee,S. Uppala,Adrian Simmons,Paul Berrisford,Paul Poli,Shinya Kobayashi,Ulf Andrae,Magdalena Balmaseda,Gianpaolo Balsamo,Peter Bauer,Peter Bechtold,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,C. Delsol,Rossana Dragani,Manuel Fuentes,Alan J. Geer,Leopold Haimberger,Sean Healy,Hans Hersbach,Elías Hólm,Lars Isaksen,P. Kallberg,Martin Köhler,Marco Matricardi,A. P. McNally,B. M. Monge-Sanz,Jean-Jacques Morcrette,B.-K. Park,Carole Peubey,P. de Rosnay,Christina Tavolato,Jean-Noël Thépaut,Frederic Vitart +35 more
TL;DR: ERA-Interim as discussed by the authors is the latest global atmospheric reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which will extend back to the early part of the twentieth century.
Journal ArticleDOI
Very high resolution interpolated climate surfaces for global land areas.
Robert J. Hijmans,Susan E. Cameron,Susan E. Cameron,Juan L. Parra,Peter G. Jones,Andy Jarvis +5 more
TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
Journal ArticleDOI
An Overview of CMIP5 and the Experiment Design
TL;DR: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance the authors' knowledge of climate variability and climate change.
Journal ArticleDOI
The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales
George J. Huffman,Robert F. Adler,David T. Bolvin,Guojun Gu,Guojun Gu,Eric Nelkin,Kenneth P. Bowman,Yang Hong,Yang Hong,Erich Franz Stocker,David B. Wolff +10 more
TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.
Journal ArticleDOI
Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset
TL;DR: In this paper, an updated gridded climate dataset (referred to as CRU TS3.10) from monthly observations at meteorological stations across the world's land areas is presented.
Related Papers (5)
The ERA-Interim reanalysis: configuration and performance of the data assimilation system
Dick Dee,S. Uppala,Adrian Simmons,Paul Berrisford,Paul Poli,Shinya Kobayashi,Ulf Andrae,Magdalena Balmaseda,Gianpaolo Balsamo,Peter Bauer,Peter Bechtold,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,C. Delsol,Rossana Dragani,Manuel Fuentes,Alan J. Geer,Leopold Haimberger,Sean Healy,Hans Hersbach,Elías Hólm,Lars Isaksen,P. Kallberg,Martin Köhler,Marco Matricardi,A. P. McNally,B. M. Monge-Sanz,Jean-Jacques Morcrette,B.-K. Park,Carole Peubey,P. de Rosnay,Christina Tavolato,Jean-Noël Thépaut,Frederic Vitart +35 more
The ERA5 global reanalysis
Hans Hersbach,Bill Bell,Paul Berrisford,Shoji Hirahara,András Horányi,Joaquín Muñoz-Sabater,Julien Nicolas,Carole Peubey,Raluca Radu,Dinand Schepers,Adrian Simmons,Cornel Soci,Saleh Abdalla,Xavier Abellan,Gianpaolo Balsamo,Peter Bechtold,Gionata Biavati,Jean Bidlot,Massimo Bonavita,Giovanna de Chiara,Per Dahlgren,Dick Dee,Michail Diamantakis,Rossana Dragani,Johannes Flemming,Richard G. Forbes,Manuel Fuentes,Alan J. Geer,Leo Haimberger,Sean Healy,Robin J. Hogan,Elías Hólm,Marta Janisková,Sarah Keeley,Patrick Laloyaux,Philippe Lopez,Cristina Lupu,Gabor Radnoti,Patricia de Rosnay,Iryna Rozum,Freja Vamborg,Sebastien Villaume,Jean-Noël Thépaut +42 more
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
Ronald Gelaro,Will McCarty,Max J. Suarez,Max J. Suarez,Ricardo Todling,Andrea Molod,Lawrence L. Takacs,Cynthia A. Randles,Cynthia A. Randles,Anton Darmenov,Michael G. Bosilovich,Rolf H. Reichle,Krzysztof Wargan,Lawrence Coy,Richard I. Cullather,Richard I. Cullather,Clara S. Draper,Clara S. Draper,Santha Akella,V. Buchard,V. Buchard,Austin Conaty,Arlindo da Silva,Wei Gu,Gi-Kong Kim,Randal D. Koster,Robert A. Lucchesi,Dagmar Merkova,J. E. Nielsen,Gary Partyka,Steven Pawson,William M. Putman,Michele M. Rienecker,Siegfried D. Schubert,Meta Sienkiewicz,Bin Zhao,Bin Zhao +36 more