Assimilation of lidar back-scatter and wind retrievals of planetary boundary layer height into WRF atmospheric forecast states

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dc.contributor.authorTangborn, Andrew
dc.contributor.authorDemoz, Belay
dc.contributor.authorCarroll, Brian J.
dc.contributor.authorSantanello, Joseph A.
dc.contributor.authorAnderson, Jeffrey L.
dc.date.accessioned2020-06-11T16:13:59Z
dc.date.available2020-06-11T16:13:59Z
dc.date.issued2020-04-29
dc.description.abstractLidar backscatter and wind retrievals of the planetary boundary layer height (PBLH) are assimilated into forecasts from the NASA Unified - Weather and Research Forecast (NU-WRF) model during the Plains Elevated Convection Convection at Night (PECAN) campaign on July 11, 2015 in Greensburg, Kansas, using error statistics collected from the model profiles to compute the necessary covariance matrices. Assimilation of the observed PBLH was found to improve the temperature, water vapor and velocity profiles relative to independent sonde profiles in the late afternoon, while little improvement was seen during the night and early morning. The computed forecast error covariances between the PBLH and state variables were found to rise in the late afternoon, leading to the larger improvements at this time.en_US
dc.description.sponsorshipB. Demoz was funded by National Science Foundation award (AGS-1503563) to the University of Maryland, Baltimore County and through NOAA Cooperative Science Center in Atmospheric Sciences and Meteorology, funded by the Educational Partnership Program at NOAA in collaboration with Howard University. PECAN (https://data.eol.ucar.edu/master_list/?project=PECAN\verb) data are archived by NCAR/EOL, which is funded by NSF. The forecast and analysis fields produced for this work are stored at https://alg.umbc.edu/pecan/en_US
dc.description.urihttps://www.essoar.org/doi/10.1002/essoar.10502857.1en_US
dc.format.extent12 pagesen_US
dc.genrejournal articles preprintsen_US
dc.identifierdoi:10.13016/m2dzpm-mb91
dc.identifier.citationAndrew Tangborn et al., Assimilation of lidar back-scatter and wind retrievals of planetary boundary layer height into WRF atmospheric forecast states, Earth and Space Science Open Archive, pages 12 (2020), https://doi.org/10.1002/essoar.10502857.1en_US
dc.identifier.urihttps://doi.org/10.1002/essoar.10502857.1
dc.identifier.urihttp://hdl.handle.net/11603/18868
dc.language.isoen_USen_US
dc.publisherCopernicus Publicationsen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleAssimilation of lidar back-scatter and wind retrievals of planetary boundary layer height into WRF atmospheric forecast statesen_US
dc.typeTexten_US

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