A space and time scale-dependent nonlinear geostatistical approach for downscaling daily precipitation and temperature

Water Resources Research

Volumn 51, Issue 8, 2015, Pages 6244-6261

  Jha, Sanjeev Kumar ^a,b   Mariethoz, Gregoire ^a,c   Evans, Jason ^a   McCabe, Matthew F ^d   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b BUREAU OF METEOROLOGY   (Australia)

^c UNIVERSITY OF LAUSANNE   (Switzerland)

^d KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

climate models; direct dampling; multiple point; multivariate; rainfall; remote sensing

Indexed keywords

BALLOONS; CLIMATE MODELS; FORECASTING; RAIN; REMOTE SENSING;

DIRECT DAMPLING; GENERAL CIRCULATION MODEL; GEOSTATISTICAL APPROACH; MULTIPLE POINTS; MULTIPLE-POINT GEOSTATISTICS; MULTIVARIATE; STATISTICAL DOWNSCALING; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER FORECASTING;

CLIMATE MODELING; DAMPING; DATA SET; DOWNSCALING; GENERAL CIRCULATION MODEL; GEOSTATISTICS; MULTIVARIATE ANALYSIS; PIXEL; PRECIPITATION INTENSITY; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; TEMPERATURE EFFECT; TIME DEPENDENT BEHAVIOR; WEATHER FORECASTING;

EID: 84941996737     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR016729     Document Type: Article

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