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dc.contributor.authorAlexander, Lisa V.
dc.contributor.authorBador, Margot
dc.contributor.authorRoca, Rémy
dc.contributor.authorContractor, Steefan
dc.contributor.authorDonat, Markus
dc.contributor.authorNguyen, Phuong Loan
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2020-05-08T16:32:19Z
dc.date.available2020-05-08T16:32:19Z
dc.date.issued2020
dc.identifier.citationAlexander, L. V. [et al.]. Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products. "Environmental Research Letters", 2020, vol. 15, núm. 5, 055002.
dc.identifier.issn1748-9326
dc.identifier.urihttp://hdl.handle.net/2117/186891
dc.description.abstractA range of in situ, satellite and reanalysis products on a common daily 1° × 1° latitude/longitude grid were extracted from the Frequent Rainfall Observations on Grids database to help facilitate intercomparison and analysis of precipitation extremes on a global scale. 22 products met the criteria for this analysis, namely that daily data were available over global land areas from 50°S to 50°N since at least 2001. From these daily gridded data, 10 annual indices that represent aspects of extreme precipitation frequency, duration and intensity were calculated. Results were analysed for individual products and also for four cluster types: (i) in situ, (ii) corrected satellite, (iii) uncorrected satellite and (iv) reanalyses. Climatologies based on a common 13-year period (2001–2013) showed substantial differences between some products. Timeseries (which ranged from 13 years to 67 years) also highlighted some substantial differences between products. A coefficient of variation showed that the in situ products were most similar to each other while reanalysis products had the largest variations. Reanalyses however agreed better with in situ observations over extra-tropical land areas compared to the satellite clusters, although reanalysis products tended to fall into 'wet' and 'dry' camps overall. Some indices were more robust than others across products with daily precipitation intensity showing the least variation between products and days above 20 mm showing the largest variation. In general, the results of this study show that global space-based precipitation products show the potential for climate scale analyses of extremes. While we recommend caution for all products dependent on their intended application, this particularly applies to reanalyses which show the most divergence across results.
dc.description.sponsorshipLVA, MB and PLN are supported by the Australian Research Council (ARC) grants DP160103439 and CE170100023. MGD was supported by the Spanish Ministry for the Economy, Industry and Competitiveness Ramón y Cajal 2017 grant reference RYC-2017-22964. Indices were calculated using the climpactv2 software (https://climpact-sci.org/get-started) and all analyses and graphics were produced using the NCAR Command Language (NCL 2013).
dc.format.extent12 p.
dc.language.isoeng
dc.publisherIOP Publishing Ltd
dc.rightsAttribution 3.0 Spain
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshDatabases
dc.subject.lcshClimatology
dc.subject.lcshPrecipitation (Meteorology) -- Measurement
dc.subject.otherPrecipitation extremes
dc.subject.otherFrequent rainfall observations
dc.subject.otherGrids database
dc.subject.otherIntercomparison of precipitation extremes
dc.subject.otherFROGS
dc.subject.other'ETCCDI' precipitation indices
dc.titleIntercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products
dc.typeArticle
dc.subject.lemacSimulació per ordinador
dc.subject.lemacBases de dades
dc.subject.lemacClimatologia
dc.subject.lemacPrecipitacions (Meteorologia) -- Mesurament
dc.identifier.doi10.1088/1748-9326/ab79e2
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://iopscience.iop.org/article/10.1088/1748-9326/ab79e2
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/2PE/RYC-2017-22964
local.citation.other055002
local.citation.publicationNameEnvironmental Research Letters
local.citation.volume15
local.citation.number5
dc.relation.dataset10.14768/06337394-73A9-407C-9997-0E380DAC5598


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Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain