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Comparison of SST Diurnal Variation Models Over the Tropical Warm Pool Region

dc.contributor.authorZhang, Haifeng
dc.contributor.authorBeggs, Helen
dc.contributor.authorMerchant, Christopher J
dc.contributor.authorWang, Xiao Hua
dc.contributor.authorMajewski, Leon
dc.contributor.authorKiss, Andrew
dc.contributor.authorRodriguez, Jose
dc.contributor.authorThorpe, Livia
dc.contributor.authorGentemann, Chelle
dc.contributor.authorBrunke, Michael
dc.date.accessioned2020-04-16T00:01:28Z
dc.date.available2020-04-16T00:01:28Z
dc.date.issued2018
dc.date.updated2019-11-25T07:52:56Z
dc.description.abstractFour sea surface temperature (SST) diurnal variation (DV) models have been compared against Multifunctional Transport Satellite-1R (MTSAT-1R) SST measurements over the Tropical Warm Pool (TWP) region (90 degrees E-170 degrees E, 25 degrees S-15 degrees N) for 4 months from January to April 2010. The four models include one empirical model formulated by Chelle Gentemann (hereafter CG03), one physical model proposed by Zeng and Beljaars in 2005 (ZB05) and its updated version (ZB+T), and one air-sea coupled model (the Met Office Unified Model Global Coupled configuration 2, GC2) with ZB05 warm layer scheme added on top of the standard configuration. The sensitivity of the v3 MTSAT-1R data to the "true'' changes in SST is first investigated using drifting buoys and is estimated to be 0.60 +/- 0.05. This being significantly different from 1, the models are validated against MTSAT-1R data and the same data scaled by the inverse of the sensitivity (representing an estimate of the true variability). Results indicate that all models are able to capture the general DV patterns but with differing accuracies and features. Specifically, CG03 and ZB+T underestimate strong (> 2 K) DV events' amplitudes especially if we assume that sensitivity-scaled MTSAT-1R variability is most realistic. ZB05 can effectively capture the DV cycles under most DV and wind conditions, as well as the DV spatial distribution. GC2 tends to overestimate small-moderate (< 2 K) DV events but can reasonably predict large DV events. One to three hour lags in warming start and peak times are found in GC2.en_AU
dc.description.sponsorshipThe research was funded, in part, by the ARC Centre of Excellence for Climate System Science (grant CE110001028).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2169-9291en_AU
dc.identifier.urihttp://hdl.handle.net/1885/202981
dc.language.isoen_AUen_AU
dc.provenancehttp://sherpa.ac.uk/romeo/issn/2169-9291/..."Publisher's version/PDF may be used 6 months after publication on an Institutional Repository or Governmental Repository only" from Sherpa/Romeo (as at 16/04/2020)en_AU
dc.publisherAmerican Geophysical Unionen_AU
dc.relationhttp://purl.org/au-research/grants/arc/CE110001028en_AU
dc.rights© 2018. American Geophysical Unionen_AU
dc.sourceJournal of Geophysical Research: Oceansen_AU
dc.titleComparison of SST Diurnal Variation Models Over the Tropical Warm Pool Regionen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue5en_AU
local.bibliographicCitation.lastpage3488en_AU
local.bibliographicCitation.startpage3467en_AU
local.contributor.affiliationZhang, Haifeng, University of New South Walesen_AU
local.contributor.affiliationBeggs, Helen, Bureau of Meteorologyen_AU
local.contributor.affiliationMerchant, Christopher J, University of Readingen_AU
local.contributor.affiliationWang, Xiao Hua, University of New South Walesen_AU
local.contributor.affiliationMajewski, Leon, Bureau of Meteorologyen_AU
local.contributor.affiliationKiss, Andrew, College of Science, ANUen_AU
local.contributor.affiliationRodriguez, Jose, Met Officeen_AU
local.contributor.affiliationThorpe, Livia, Met Officeen_AU
local.contributor.affiliationGentemann, Chelle, Earth and Space Researchen_AU
local.contributor.affiliationBrunke, Michael, University of Arizonaen_AU
local.contributor.authoruidKiss, Andrew, u8808596en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor040503 - Physical Oceanographyen_AU
local.identifier.absseo970104 - Expanding Knowledge in the Earth Sciencesen_AU
local.identifier.ariespublicationu4485658xPUB2026en_AU
local.identifier.citationvolume123en_AU
local.identifier.doi10.1029/2017JC013517en_AU
local.identifier.thomsonID000436111400019
local.publisher.urlhttps://www.agu.org/en_AU
local.type.statusPublished Versionen_AU

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