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Dataset associated with "Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation"

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dc.contributor.authorHsu, Chia-Wei
dc.contributor.authorDeMott, Charlotte
dc.contributor.authorBranson, Mark
dc.coverage.spatialOver the ocean in 20S-20N and 90E-180 regionen_US
dc.coverage.temporal1998-2014en_US
dc.date.accessioned2021-11-15T20:32:57Z
dc.date.available2021-11-15T20:32:57Z
dc.date.issued2021
dc.descriptionThis dataset is for ocean surface flux diagnostic and to reproduce the analyses and figures in the manuscript "Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation". The time period is from 1998 to 2014 and focus on the ocean region between 20S-20N and 90E-180.en_US
dc.descriptionDepartment of Atmospheric Science
dc.descriptionWalter Scott, Jr. College of Engineering
dc.description.abstractSurface latent heat fluxes help maintain tropical intraseasonal precipitation. We develop a latent heat flux diagnostic that depicts how latent heat fluxes vary with the near-surface specific humidity vertical gradient (dq) and surface wind speed (|V|). Compared to fluxes estimated from |V| and dq measured at tropical moorings and the COARE3.0 algorithm, tropical latent heat fluxes in the NCAR CEMS2 and DOE E3SMv1 models are significantly overestimated at |V| and dq extrema. MJO sensitivity to surface flux algorithm is tested with offline and inline flux corrections. The offline correction adjusts model output fluxes toward mooring-estimated fluxes; the inline correction replaces the original bulk flux algorithm with the COARE3.0 algorithm in atmosphere-only simulations of each model. Both corrections reduce the latent heat flux feedback to intraseasonal precipitation, in better agreement with observations, suggesting that model-simulated fluxes are overly supportive for maintaining MJO convection.en_US
dc.description.sponsorshipDepartment of Energy : DE‐SC0020092.en_US
dc.format.mediumPDF
dc.format.mediumZIP
dc.format.mediumNetCDF
dc.identifier.urihttps://hdl.handle.net/10217/234033
dc.identifier.urihttp://dx.doi.org/10.25675/10217/234033
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyHsu, C.-W., DeMott, C. A., Branson, M. D., Reeves Eyre, J., & Zeng, X. (2022). Ocean surface flux algorithm effects on tropical Indo-Pacific intraseasonal precipitation. Geophysical Research Letters, 49, e2021GL096968. https://doi.org/10.1029/2021GL096968en_US
dc.relation.isreferencedbyDaehyun Kim, Daehyun Kang, Min-Seop Ahn, Charlotte DeMott, Chia-Wei Hsu, Changhyun Yoo, L. Ruby Leung, Samson Hagos, Philip Rasch."The Madden-Julian Oscillation in the Energy Exascale Earth System Model Version 1" Earth and Space Science Open Archive. https://doi.org/10.1002/essoar.10508085.1en_US
dc.relation.isreferencedbyHsu, C., DeMott, C. A., Branson, M., Reeves Eyre, J., & Zeng, X. Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation, in review.
dc.rights.licenseThe material is open access and distributed under the terms and conditions of the Creative Commons Public Domain "No rights reserved" (https://creativecommons.org/share-your-work/public-domain/cc0/).
dc.rights.urihttps://creativecommons.org/share-your-work/public-domain/cc0/
dc.subjectlatent heat fluxen_US
dc.subjectprecipitationen_US
dc.subjectinstraseasonal variationen_US
dc.titleDataset associated with "Ocean Surface Flux Algorithm Effects on Tropical Indo-Pacific Intraseasonal Precipitation"en_US
dc.typeDataseten_US

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