Applied Uses of MERRA Reanalyses: Current and Future Prospects

dc.contributor.authorBosilovich, Michael
dc.contributor.authorStackhouse, Paul
dc.contributor.authorUz, Stephanie Schollaert
dc.contributor.authorDezfuli, Amin
dc.contributor.authorThomas, Natalie
dc.contributor.authorCollow, Allison
dc.date.accessioned2025-06-05T14:03:33Z
dc.date.available2025-06-05T14:03:33Z
dc.date.issued2024
dc.description6th WCRP International Conference on Reanalysis, Tokyo, JP, October 28 - November 1, 2024
dc.description.abstractDuring the initial planning of the Modern Era Retrospective-analysis for Research and Applications (MERRA), the project was envisioned to become a tool for applied sciences and decision makers, as well as weather and climate research. MERRA was the first reanalysis to provide data at 1 hourly frequencies. After discussions with wind energy users, 50m above the surface winds were included in the data collection to begin to represent the environment at the turbine height. MERRA-2 was the first reanalysis to include interactive and assimilated aerosols. From these, PM 1, 2.5 and 10 records have been computed and contribute to the climate and health sector. The US Center for Disease Control is accessing MERRA-2 data for comparison along with their health data. MERRA-2 Extreme Indices have been computed from the high frequency data (e.g. precipitation maxima, heat waves and fire weather). These have been used to characterize the changing extremes in the United States and around the globe as well as the weather associated with the extremes.The next-generation, MERRA-21C, includes increased resolution (25km) and continues to provide innovative Earth system data. For example, a boundary layer collection will provide constant height level data starting at 100m, continuing up to 4000m. This will provide detailed information about the boundary layer processes that greatly affect the biosphere. Chemical tracers for constituents are included in the system. The ensemble data assimilation is run with 32 members, and the variance for critical variables are stored. We will explore the use of this variance as one measure of uncertainty relevant for applied uses, which has not been included in any MERRA reanalysis. We will discuss use case scenarios developed to engage with the energy and financial sectors, to better understand their needs for climate data. Prospects for further downscaling of reanalyses will also be explored.
dc.description.sponsorshipSponsors World Research Climate Programme
dc.description.urihttps://ntrs.nasa.gov/citations/20240015195
dc.format.extent18 pages
dc.genrepresentations (communicative events)
dc.identifierdoi:10.13016/m24kfz-sf1i
dc.identifier.urihttp://hdl.handle.net/11603/38724
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.rightsThis is 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.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectEarth Resources and Remote Sensing
dc.subjectMeteorology and Climatology
dc.titleApplied Uses of MERRA Reanalyses: Current and Future Prospects
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-3274-8542
dcterms.creatorhttps://orcid.org/0000-0002-3566-3889
dcterms.creatorhttps://orcid.org/0000-0002-6433-7257

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