Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed

Stochastic Environmental Research and Risk Assessment

Volumn 25, Issue 4, 2011, Pages 475-484

  Hashmi, Muhammad Zia ^a   Shamseldin, Asaad Y ^a   Melville, Bruce W ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Generalized Extreme Value distribution; Global Climate Models; Statistical downscaling; Weather generator

Indexed keywords

ADAPTATION STRATEGIES; ANNUAL MAXIMA; AREAL AVERAGES; BASELINE DATA; CLIMATE CHANGE IMPACT; CLIMATE CHANGE MITIGATION; DOWN-SCALING; EMISSION SCENARIO; EXTREME EVENTS; EXTREME PRECIPITATION; FUTURE CLIMATE; GENERALIZED EXTREME VALUE; GENERALIZED EXTREME VALUE DISTRIBUTION; GLOBAL CLIMATE MODEL; GLOBAL CLIMATE MODELS; HYDROLOGIC IMPACTS; IMPACT MODEL; LOCAL CLIMATE; MULTIPLE REGRESSION MODEL; MULTIPLE REGRESSIONS; PRECIPITATION DATA; PRECIPITATION FREQUENCY; RETURN PERIODS; SOUTH ISLAND , NEW ZEALAND; STATISTICAL DOWNSCALING; STATISTICAL PRINCIPLES; WEATHER GENERATOR;

CLIMATE CHANGE; LANDFORMS; RAIN; REGRESSION ANALYSIS; WATERSHEDS;

CLIMATE MODELS;

CLIMATE CHANGE; CLIMATE MODELING; DOWNSCALING; EXTREME EVENT; PRECIPITATION (CLIMATOLOGY); WATERSHED;

CLUTHA RIVER; NEW ZEALAND; OTAGO; SOUTH ISLAND;

EID: 79952988380     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0416-x     Document Type: Article

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