Show simple item record

dc.contributorWestern, Andrew W.en_US
dc.contributorNawarathna, Bandaraen_US
dc.contributorGeorge, Biju Alummoottilen_US
dc.creatorPerera, Kushan C.en_US
dc.date2014-08-13en_US
dc.date.accessioned2017-07-24T01:44:06Z
dc.date.available2017-07-24T01:44:06Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/5A8457jYen_US
dc.identifier.citationKushan C. Perera, Andrew W. Western, Bandara Nawarathna, Biju Alummoottil George. (13/8/2014). Forecasting daily reference evapotranspiration for Australia using numerical weather prediction outputs. Agricultural and Forest Meteorology, 194, pp. 50-63.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7336
dc.description.abstractFarmers and irrigation system operators make real-time irrigation decisions based on a range of factors including crop water requirement and short-term weather forecasts of rainfall and air temperature. Forecasts of reference crop evapotranspiration (ETO) can be calculated from numerical weather prediction (NWP) forecasts and ETO has the advantage of being more directly relevant to crop water requirements than air temperature. This paper aims to discuss the forecasting ability of ETO using outputs from the Bureau of Meteorology's operational NWP forecasts derived from the Australian Community Climate and Earth System Simulator – Global (ACCESS-G). The daily ETO forecasts were evaluated for the Shepparton Irrigation Area in Victoria. Forecast performance for ETO was quantified using the root mean squared error (RMSE), coefficient of determination (r2), anomaly correlation coefficient (ACC) and mean square skill score (MSSS). Lead times of daily ETO forecasts up to 9 days were compared against ETO calculated using hourly observations from the Shepparton airport automatic weather station. It was found that forecasting daily ETO was better than using the long-term monthly mean ETO for lead times up to 6 days and beyond that the longterm monthly mean was better. The average MSSS of ETO forecasts varied between 64% and 4 % for 1 to 6 day lead times, respectively. The most influential forecast weather variable for daily ETO forecasts was mean wind speed, air temperature and incoming solar radiation for 1, 2-3 and 4-9 day lead times respectively. Also, it was found that the forecast performance for incoming solar radiation and mean wind speed was relatively poor compared with the air and dew point temperaturesen_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevier Massonen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceAgricultural and Forest Meteorology;194,(2014) Pagination 50,63en_US
dc.subjectreference evapotranspirationen_US
dc.subjectnumerical weather predictionen_US
dc.subjectfao56en_US
dc.titleForecasting daily reference evapotranspiration for Australia using numerical weather prediction outputsen_US
dc.typeJournal Articleen_US
cg.creator.idGeorge, Biju Alummoottil: 0000-0002-8427-3350en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocforecastingen_US
cg.contributor.centerThe University of Melbourne, Department of Infrastructure Engineeringen_US
cg.contributor.centerThe Bureau of Meteorology, Australia Environment and Research Divisionen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-date2018-08-13en_US
cg.coverage.regionAustralia and New Zealanden_US
cg.coverage.countryAUen_US
cg.contactkushanr@student.unimelb.edu.auen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.agrformet.2014.03.014en_US
dc.identifier.statusLimited accessen_US
mel.impact-factor3.887en_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


DSpace software copyright © 2002-2016  DuraSpace
Disclaimer:
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV