Remote Sensing of Ice Cloud Properties With Millimeter and Submillimeter-Wave Polarimetry

dc.contributor.authorWu, Dong L.
dc.contributor.authorGong, Jie
dc.contributor.authorDeal, William R.
dc.contributor.authorGaines, Willian
dc.contributor.authorCooke, Caitlyn M.
dc.contributor.authorDe Amici, Giovanni
dc.contributor.authorPantina, Peter
dc.contributor.authorLiu, Yuli
dc.contributor.authorYang, Ping
dc.contributor.authorEriksson, Patrick
dc.contributor.authorBennartz, Ralf
dc.date.accessioned2025-01-08T15:09:23Z
dc.date.available2025-01-08T15:09:23Z
dc.date.issued2024-11-20
dc.description.abstractIce clouds are poorly constrained in current global climate and weather models and have been used as a tuning parameter in the models to balance radiation budget at the top of atmosphere and precipitation at the surface. Sub-millimeter-wave (Submm) remote sensing can fill the sensitivity gap of cloud ice observations between visible/infrared (VIS/IR) and microwave (MW) frequencies. The added value from submm-wave bands has been recognized for achieving a better understanding of cloud, convection and precipitation (CCP) processes. Recent satellite observations at microwave frequencies showed promising results that additional information on cloud microphysical properties (e.g., ice particle shape and orientation) can be inferred from V-pol and H-pol radiances. Motivated by the added value from cloud polarimeters, a compact SWIRP (Submm-Wave and Long-Wave InfraRed Polarimeter) was developed under NASA's Instrument Incubator Program (IIP) to reduce instrument size, weight, power (SWaP) for future Earth science missions. Low-SWaP sensors like SWIRP will allow the cost-effective implementation of a distributed observing system to study fast cloud processes with the needed spatiotemporal sampling.
dc.description.sponsorshipThis work was supported by NASA’s PolSIR project under Grant 80LARC24CA001.
dc.description.urihttps://ieeexplore.ieee.org/document/10758756/
dc.format.extent11 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2f58r-yqs9
dc.identifier.citationWu, Dong L., Jie Gong, William R. Deal, Willian Gaines, Caitlyn M. Cooke, Giovanni De Amici, Peter Pantina, et al. “Remote Sensing of Ice Cloud Properties With Millimeter and Submillimeter-Wave Polarimetry.” IEEE Journal of Microwaves, 2024, 1–11. https://doi.org/10.1109/JMW.2024.3487758.
dc.identifier.urihttps://doi.org/10.1109/JMW.2024.3487758
dc.identifier.urihttp://hdl.handle.net/11603/37271
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
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.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectRemote sensing
dc.subjectMicrowave measurement
dc.subjectAtmospheric measurements
dc.subjectmicrowaves in climate change
dc.subjectScattering
dc.subjectClouds
dc.subjectmicrophysics
dc.subjectSatellites
dc.subjectSmallSat
dc.subjectMicrowave integrated circuits
dc.subjectMMIC
dc.subjectSubmm-wave
dc.subjectremote sensing
dc.subjectice cloud
dc.subjectIce clouds
dc.subjectHurricanes
dc.subjectMicrowave FET integrated circuits
dc.titleRemote Sensing of Ice Cloud Properties With Millimeter and Submillimeter-Wave Polarimetry
dc.typeText

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