{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:27:29Z","timestamp":1760243249321,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2014,5,19]],"date-time":"2014-05-19T00:00:00Z","timestamp":1400457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The near real-time NRL global tropical cyclone (TC) monitoring system based on multiple satellite passive microwave (PMW) sensors is improved with a new  inter-sensor calibration scheme to correct the biases caused by differences in these sensor\u2019s high frequency channels. Since the PMW sensor 89 GHz channel is used in multiple current and near future operational and research satellites, a unified scheme to calibrate all satellite PMW sensor\u2019s ice scattering channels to a common 89 GHz is created so that their brightness temperatures (TBs) will be consistent and permit more accurate manual and automated analyses. In order to develop a physically consistent calibration scheme, cloud resolving model simulations of a squall line system over the west Pacific coast and hurricane Bonnie in the Atlantic Ocean are applied to simulate the views from different PMW sensors. To clarify the complicated TB biases due to the competing nature of scattering and emission effects, a four-cloud based calibration scheme is developed (rain, non-rain, light rain, and cloudy). This new physically consistent inter-sensor calibration scheme is then evaluated with the synthetic TBs of hurricane Bonnie and a squall line as well as observed TCs. Results demonstrate the large TB biases up to 13 K for heavy rain situations before calibration between TMI and AMSR-E are reduced to less than 3 K after calibration. The comparison stats show that the overall bias and RMSE are reduced by 74% and 66% for hurricane Bonnie, and 98% and 85% for squall lines, respectively. For the observed hurricane Igor, the bias and RMSE decrease 41% and 25% respectively. This study demonstrates the importance of TB calibrations between PMW sensors in order to systematically monitor the global TC life cycles in terms of intensity, inner core structure and convective organization. A physics-based calibration scheme on TC\u2019s TB corrections developed in this study is able to significantly reduce the biases between different  PMW sensors.<\/jats:p>","DOI":"10.3390\/rs6054563","type":"journal-article","created":{"date-parts":[[2014,5,19]],"date-time":"2014-05-19T11:13:29Z","timestamp":1400498009000},"page":"4563-4581","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["The Improved NRL Tropical Cyclone Monitoring System  with a Unified Microwave Brightness Temperature  Calibration Scheme"],"prefix":"10.3390","volume":"6","author":[{"given":"Song","family":"Yang","sequence":"first","affiliation":[{"name":"Naval Research Laboratory, Monterey, CA 93943, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffrey","family":"Hawkins","sequence":"additional","affiliation":[{"name":"Naval Research Laboratory, Monterey, CA 93943, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kim","family":"Richardson","sequence":"additional","affiliation":[{"name":"Naval Research Laboratory, Monterey, CA 93943, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,5,19]]},"reference":[{"key":"ref_1","unstructured":"Newman, A. Hurricane Sandy vs. Hurricane Katrina. Available online: http:\/\/cityroom.blogs.nytimes.com\/2012\/11\/27\/hurricane-sandy-vs-hurricane-katrina\/."},{"key":"ref_2","unstructured":"Blake, E.S., Kimberlain, T.B., Berg, R.J., Cangialosi, J.P., and Beven, J.L. Tropical Cyclone Report: Hurricane Sandy. Available online: http:\/\/www.nhc.noaa.gov\/data\/tcr\/AL182012_Sandy.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1175\/1520-0477(2001)082<0567:RIDOSP>2.3.CO;2","article-title":"Real-time Internet distribution of satellite products for tropical cyclone reconnaissance","volume":"82","author":"Hawkins","year":"2001","journal-title":"Bull. Amer. Meteorol. Soc"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/TGRS.2008.915753","article-title":"Observations of tropical cyclones with the SSMIS","volume":"46","author":"Hawkins","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1175\/2011BAMS3138.1","article-title":"Supporting meteorological field experiment missions and postmission analysis with satellite digital data and products","volume":"92","author":"Hawkins","year":"2011","journal-title":"Bull. Amer. Meteor. Soc"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1175\/1520-0450(1988)027<1055:RTTSTA>2.0.CO;2","article-title":"Radiative transfer to space through a precipitating cloud at multiple microwave frequencies. Part I: Model description","volume":"27","author":"Mugnai","year":"1988","journal-title":"J. Appl. Meteor"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1175\/1520-0477(1990)071<0002:SOMBTO>2.0.CO;2","article-title":"Simulation of microwave brightness temperature of an evolving hailstorm at SSM\/I frequencies","volume":"71","author":"Mugnai","year":"1990","journal-title":"Bull. Amer. Meteor. Soc"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3099","DOI":"10.1029\/JC083iC06p03099","article-title":"Thermal microwave radiances from horizontally finite clouds of hydrometeors","volume":"83","author":"Weinman","year":"1978","journal-title":"J. Geophys. Res"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1175\/1520-0426(1989)006<0254:PROLAO>2.0.CO;2","article-title":"Precipitation retrieval over land and ocean with the SSM\/I: Identification and characteristics of the scattering signal","volume":"6","author":"Spencer","year":"1989","journal-title":"J. Atmos. Oceanic Technol"},{"key":"ref_10","unstructured":"Shaw, D.B. (1979). Meteorology over the Tropical Oceans, Royal Meteorological Society."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kieper, M., and Jiang, H. (2012). Predicting tropical cyclone rapid intensification using the 37 GHz ring pattern identified from passive microwave measurements. Geophys. Res. Lett.","DOI":"10.1029\/2012GL052115"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1175\/2010JAMC2271.1","article-title":"Special Sensor Microwave Imager (SSM\/I) intersensor calibration using a simultaneous conical overpass technique","volume":"50","author":"Yang","year":"2011","journal-title":"J. Appl. Meteor. Climatol"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1109\/TGRS.2012.2199761","article-title":"Improved geolocation and earth incidence angle information for a fundamental climate data record of the SSM\/I sensors","volume":"51","author":"Berg","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1109\/TGRS.2012.2206601","article-title":"Toward an intercalibration fundamental climate data record of the SSM\/I sensors","volume":"51","author":"Sapiano","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1175\/JAS3598.1","article-title":"High-resolution simulation of Hurricane Bonnie (1998). Part I: The organization of eyewall vertical motion","volume":"63","author":"Braun","year":"2006","journal-title":"J. Atmos. Sci"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1175\/1520-0450(1999)038<0633:ALHDIT>2.0.CO;2","article-title":"Atmospheric latent heating distributions in the Tropics derived from passive microwave radiometer measurements","volume":"38","author":"Olson","year":"1999","journal-title":"J. Appl. Meteor"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1175\/1520-0450(1977)016<0437:DORDFM>2.0.CO;2","article-title":"Determination of rainfall distributions from microwave radiation measured by the Nimbus-6 ESMR","volume":"16","author":"Weinman","year":"1977","journal-title":"J. Appl. Meteor"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1175\/1520-0450(1986)025<0754:ASPGSB>2.0.CO;2","article-title":"A satellite passive 37 GHz scattering based method for measuring oceanic rain rates","volume":"25","author":"Spenser","year":"1986","journal-title":"J. Clim. Appl. Meteor"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1175\/1520-0426(1999)016<0633:MBAOTC>2.0.CO;2","article-title":"Moisture budget analysis of TOGA-COARE area using SSM\/I retrieved latent heating and large scale Q2 estimates","volume":"16","author":"Yang","year":"1999","journal-title":"J. Atmos. Oceanic Technol"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/5\/4563\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:11:35Z","timestamp":1760217095000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/5\/4563"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,5,19]]},"references-count":19,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2014,5]]}},"alternative-id":["rs6054563"],"URL":"https:\/\/doi.org\/10.3390\/rs6054563","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2014,5,19]]}}}