Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes

Water Resources Research

Volumn 48, Issue 1, 2012, Pages

  Kleiber, William ^a   Katz, Richard W ^a   Rajagopalan, Balaji ^b,c  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b UCB 450   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARGENTINA; DATA SETS; GAMMA DISTRIBUTION; GAUSSIAN PROCESSES; GENERALIZED LINEAR MODEL; GENERATOR PARAMETERS; KRIGING; MARKOV CHAIN; PARAMETER UNCERTAINTY; PRECIPITATION BEHAVIOR; PRECIPITATION CHARACTERISTICS; PRECIPITATION INTENSITY; STATISTICAL PARAMETERS; TIME-SCALES;

GAUSSIAN NOISE (ELECTRONIC); INTERPOLATION; MARKOV PROCESSES; STATISTICAL METHODS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

GAUSSIAN DISTRIBUTION;

GAUSSIAN METHOD; INTERPOLATION; KRIGING; MARKOV CHAIN; PRECIPITATION (CLIMATOLOGY); QUANTITATIVE ANALYSIS; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY;

ARGENTINA; IOWA; PAMPAS; UNITED STATES;

EID: 84856298369     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011105     Document Type: Article

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