dc.contributor.author | Rosenkranz, Philip | |
dc.contributor.author | Blackwell, William J | |
dc.contributor.author | Leslie, Robert Vincent | |
dc.date.accessioned | 2020-05-28T15:52:34Z | |
dc.date.available | 2020-05-28T15:52:34Z | |
dc.date.issued | 2020-01-10 | |
dc.date.submitted | 2019-12 | |
dc.identifier.issn | 2072-4292 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125553 | |
dc.description.abstract | Improvements in radiometric calibration are needed to achieve the desired accuracy and stability of satellite-based microwave-radiometer observations intended for the production of climate data records. Linearity, stability and traceability of measurements to an SI-unit standard should be emphasized. We suggest radiometer design approaches to achieve these objectives in a microwave calibration-reference instrument. Multi-year stability would be verified by comparison to radio-occultation measurements. Data from such an instrument could be used for climate studies and also to transfer its calibration to weather-satellite instruments. With the suitable selection of an orbit, a climatology of the diurnal variation in the measured parameters could be compiled, which would reduce uncertainties in climate trends inferred from earlier microwave radiometers over past decades. Keywords: microwave radiometer calibration; GSICS; intercalibration | en_US |
dc.description.sponsorship | NASA (grant no. 80GSFC19T0038) | en_US |
dc.publisher | Multidisciplinary Digital Publishing Institute | en_US |
dc.relation.isversionof | 10.3390/rs12020241 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | Multidisciplinary Digital Publishing Institute | en_US |
dc.title | Climate-quality calibration for low earth-orbit microwave radiometry | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Rosenkranz, Philip W., William J. Blackwell, and R. Vincent Leslie, "Climate-quality calibration for low earth-orbit microwave radiometry." Remote Sensing 12, 2 (Jan. 2020): no. 241 doi 10.3390/rs12020241 ©2020 Author(s) | en_US |
dc.contributor.department | Lincoln Laboratory | en_US |
dc.relation.journal | Remote Sensing | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-03-02T13:01:06Z | |
dspace.date.submission | 2020-03-02T13:01:06Z | |
mit.journal.volume | 12 | en_US |
mit.journal.issue | 2 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |