Representing extremes in a daily gridded precipitation analysis over the United States: Impacts of station density, resolution, and gridding methods

Journal of Climate

Volumn 27, Issue 14, 2014, Pages 5201-5218

  Gervais, Melissa ^a   Tremblay, L Bruno ^a   Gyakum, John R ^a   Atallah, Eyad ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Data processing; Error analysis; Model comparison; Precipitation; Rainfall; Statistical techniques

Indexed keywords

DATA PROCESSING; ERROR ANALYSIS; ERRORS; PRECIPITATION (CHEMICAL); RAIN;

EXTREME PRECIPITATION; INTERPRETATION OF MODELS; MODEL COMPARISON; MODEL VALIDATION; OBSERVATIONAL DATA; PRECIPITATION DISTRIBUTION; SPATIAL HOMOGENEITY; STATISTICAL TECHNIQUES;

PRECIPITATION (METEOROLOGY);

DATA PROCESSING; ERROR ANALYSIS; EXTREME EVENT; MODEL VALIDATION; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; RAINFALL; UPSCALING;

UNITED STATES;

EID: 84904488714     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00319.1     Document Type: Article

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