A multiscale information theory approach to assess spatial-temporal variability of daily precipitation

Journal of Hydrology

Volumn 385, Issue 1-4, 2010, Pages 165-172

  Brunsell, N A ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Entropy; Mutual information content; Predictability; Relative entropy; Scaling; Wavelets

Indexed keywords

BREAKPOINT; HURST EXPONENTS; INTERANNUAL VARIABILITY; MEAN ANNUAL PRECIPITATION; MULTISCALE INFORMATION; MUTUAL INFORMATIONS; PRECIPITATION EVENTS; PREDICTABILITY; RAIN DAYS; RELATIVE ENTROPY; SPATIAL AND TEMPORAL VARIABILITY; SPATIAL PATTERNS; SPATIAL TEMPORALS; TEMPORAL VARIABILITY; WAVELET MULTI-RESOLUTION ANALYSIS; WESTERN UNITED STATES;

CLIMATE CHANGE; ENTROPY; INFORMATION THEORY;

RAIN;

ENTROPY; INFORMATION SYSTEM; PRECIPITATION ASSESSMENT; PREDICTION; SPATIAL VARIATION; SYNOPTIC METEOROLOGY; TEMPORAL VARIATION; TREND ANALYSIS; WAVELET ANALYSIS;

UNITED STATES;

EID: 77950862252     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.02.016     Document Type: Article

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