What are the best covariates for developing non-stationary rainfall Intensity-Duration-Frequency relationship?

Advances in Water Resources

Volumn 101, Issue , 2017, Pages 11-22

  Agilan, V ^a   Umamahesh, N V ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Best covariate; Extreme rainfall; GEV distribution; IDF curves; Non stationarity; Physical processes

Indexed keywords

ATMOSPHERIC PRESSURE; CLIMATE CHANGE; CLIMATOLOGY; GLOBAL WARMING; PRECIPITATION (METEOROLOGY);

COVARIATES; EXTREME RAINFALL; GEV DISTRIBUTIONS; IDF CURVES; NON-STATIONARITIES; PHYSICAL PROCESS;

RAIN;

AIR TEMPERATURE; CLIMATE CHANGE; EL NINO-SOUTHERN OSCILLATION; EXTREME EVENT; INDIAN OCEAN DIPOLE; PRECIPITATION INTENSITY; URBANIZATION;

HYDERABAD [TELANGANA]; INDIA; TELANGANA;

EID: 85008330556     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2016.12.016     Document Type: Article

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