Research Repository

Statistical downscaling of general circulation model outputs to evaporation, minimum temperature and maximum temperature using a key-predictand and key-station approach

Dhanapala Arachchige, Sachindra ORCID: 0000-0002-4022-0636, Huang, Fuchun, Barton, A and Perera, B. J. C (2015) Statistical downscaling of general circulation model outputs to evaporation, minimum temperature and maximum temperature using a key-predictand and key-station approach. Journal of Water and Climate Change, 6 (2). 241 - 262. ISSN 2040-2244

Full text for this resource is not available from the Research Repository.
Item Type: Article
Uncontrolled Keywords: climate change; environmental models; computer models; modelling; statistics; forecasts; forecasting
Subjects: FOR Classification > 0105 Mathematical Physics
FOR Classification > 0401 Atmospheric Sciences
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 04 Apr 2018 00:16
Last Modified: 12 Apr 2019 04:31
URI: http://vuir.vu.edu.au/id/eprint/35921
DOI: https://doi.org/10.2166/wcc.2014.145
ePrint Statistics: View download statistics for this item
Citations in Scopus: 3 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar