Comparing statistically downscaled simulations of Indian monsoon at different spatial resolutions

Journal of Hydrology

Volumn 519, Issue PD, 2014, Pages 3163-3177

  Shashikanth, K ^a,b   Madhusoodhanan, C G ^a   Ghosh, Subimal ^a   Eldho, T I ^a   Rajendran, K ^c   Murtugudde, Raghu ^a,d  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b OSMANIA UNIVERSITY   (India)

^c CSIR Centre for Mathematical Modelling and Computer Simulation   (India)

^d University of Maryland   (United States)

Author keywords

Bayesian multimodel average; Signal to noise ratio (SNR); Statistical downscaling; Uncertainty

Indexed keywords

ATMOSPHERIC THERMODYNAMICS; BAYESIAN NETWORKS; CLIMATE CHANGE; CLIMATE MODELS; COMPUTER SIMULATION; RAIN; STATISTICS; UNCERTAINTY ANALYSIS; WIND;

BAYESIAN MODEL AVERAGING; COUPLED MODEL INTERCOMPARISON PROJECT; GENERAL CIRCULATION MODEL; INDIAN SUMMER MONSOON RAINFALL; MULTI-MODEL; PRECIPITATION VARIABILITY; STATISTICAL DOWNSCALING; UNCERTAINTY;

SIGNAL TO NOISE RATIO;

ASSESSMENT METHOD; CLIMATE CHANGE; COMPUTER SIMULATION; DOWNSCALING; GENERAL CIRCULATION MODEL; MONSOON; NUMERICAL MODEL; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; SIGNAL-TO-NOISE RATIO; SPATIAL RESOLUTION; UNCERTAINTY ANALYSIS;

INDIA;

EID: 84918813101     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.10.042     Document Type: Article

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