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dc.contributor.authorPudashine, J
dc.contributor.authorGuyot, A
dc.contributor.authorOvereem, A
dc.contributor.authorPauwels, VRN
dc.contributor.authorSeed, A
dc.contributor.authorUijlenhoet, R
dc.contributor.authorPrakash, M
dc.contributor.authorWalker, JP
dc.date.accessioned2021-10-11T03:02:37Z
dc.date.available2021-10-11T03:02:37Z
dc.date.issued2021
dc.identifier.issn0022-1694
dc.identifier.doi10.1016/j.jhydrol.2021.126909
dc.identifier.urihttp://hdl.handle.net/10072/408768
dc.description.abstractThis study presents the first evaluation of using commercial microwave link (CML) data for rainfall measurements in Australia, with the test site being the greater Melbourne Metropolitan area. More than 100 CMLs with microwave frequency ranging between 10 and 40 GHz have been used for the rainfall retrieval. The 15-minute received signal levels (RSLs) for each CML based on two sampling strategies (average and minimum/maximum) collected for 2 years provided a unique dataset to compare performances of rainfall retrievals. The open source algorithm RAINLINK was used for deriving rainfall from the 15-minute RSL data. From two years of data, a subset of 30 rainy days distributed across this period were used for calibrating the RAINLINK parameters, with the remaining data used for validation. For this study, only path-averaged rainfall intensities were validated based on a gauge-adjusted radar product serving as the reference. The result of the wet-dry classification showed that the minimum and maximum RSL data performed better, with lower probability of false detection and higher Matthews correlation coefficient than average RSL data. For the rainfall retrieval, both datasets showed similar correlation with the gauge adjusted radar product. However, based on other statistics (RMSE, bias and CV) minimum and maximum RSL data outperformed average for the rainfall retrieval. Overall, this study highlights the robust accuracy of commercial microwave links for rainfall retrieval while using only minimum and maximum RSL data.
dc.description.peerreviewedYes
dc.languageen
dc.publisherElsevier BV
dc.relation.ispartofpagefrom126909
dc.relation.ispartofjournalJournal of Hydrology
dc.relation.ispartofvolume603
dc.subject.fieldofresearchHydrology
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchEnvironmental engineering
dc.subject.fieldofresearchcode3707
dc.subject.fieldofresearchcode4609
dc.subject.fieldofresearchcode4011
dc.titleRainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationPudashine, J; Guyot, A; Overeem, A; Pauwels, VRN; Seed, A; Uijlenhoet, R; Prakash, M; Walker, JP, Rainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy, Journal of Hydrology, 2021, 603, pp. 126909
dc.date.updated2021-10-07T22:10:40Z
gro.hasfulltextNo Full Text
gro.griffith.authorSeed, Alan


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