Temporal co-variation of surface and microwave brightness temperatures in Antarctica, with implications for the observation of surface temperature variability using satellite data
Satellite observations of microwave emission are a key resource for estimating surface temperatures in Antarctica. Use of these data to examine climate variability, however, relies on the assumption of constancy through time in the relationship between surface temperatures and the proxy brightness t...
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Published in | Annals of glaciology Vol. 39; pp. 346 - 350 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Cambridge, UK
Cambridge University Press
01.01.2004
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Abstract | Satellite observations of microwave emission are a key resource for estimating surface temperatures in Antarctica. Use of these data to examine climate variability, however, relies on the assumption of constancy through time in the relationship between surface temperatures and the proxy brightness temperatures. Thus we are motivated to study the physical relationship between surface and brightness temperature time series, and to seek indicators of possible temporal variability in that relationship. Here we report an initial study using near-surface temperatures from the Byrd Station automated weather station in West Antarctica and 37 GHz, vertically polarized brightness temperatures from the Scanning Multichannel Microwave Radiometer. We begin with the simplest model of the relevant thermal and microwave physics and derive a convolution expression that relates surface and brightness temperatures. The convolution kernel depends on firn thermal diffusivity and the microwave extinction coefficient in a particularly simple way: solely through a single characteristic time-scale. For the Byrd data, we find that the (fractional variation in) observed brightness temperatures can be reproduced by our model in considerable detail, on scales from interannual down to a few days. The time-scale is tightly constrained by minimization of the discrepancy between observed and simulated time series, and the optimized value agrees closely with that derived from independent estimates of firn thermal and microwave parameters. We find no evidence thus far of temporal variability in the relation between surface and brightness temperatures, though investigation across a wider domain in space and time is needed before such variability can be ruled out. |
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AbstractList | Satellite observations of microwave emission are a key resource for estimating surface temperatures in Antarctica. Use of these data to examine climate variability, however, relies on the assumption of constancy through time in the relationship between surface temperatures and the proxy brightness temperatures. Thus we are motivated to study the physical relationship between surface and brightness temperature time series, and to seek indicators of possible temporal variability in that relationship. Here we report an initial study using near-surface temperatures from the Byrd Station automated weather station in West Antarctica and 37 GHz, vertically polarized brightness temperatures from the Scanning Multichannel Microwave Radiometer. We begin with the simplest model of the relevant thermal and microwave physics and derive a convolution expression that relates surface and brightness temperatures. The convolution kernel depends on firn thermal diffusivity and the microwave extinction coefficient in a particularly simple way: solely through a single characteristic time-scale. For the Byrd data, we find that the (fractional variation in) observed brightness temperatures can be reproduced by our model in considerable detail, on scales from interannual down to a few days. The time-scale is tightly constrained by minimization of the discrepancy between observed and simulated time series, and the optimized value agrees closely with that derived from independent estimates of firn thermal and microwave parameters. We find no evidence thus far of temporal variability in the relation between surface and brightness temperatures, though investigation across a wider domain in space and time is needed before such variability can be ruled out. Abstract Satellite observations of microwave emission are a key resource for estimating surface temperatures in Antarctica. Use of these data to examine climate variability, however, relies on the assumption of constancy through time in the relationship between surface temperatures and the proxy brightness temperatures. Thus we are motivated to study the physical relationship between surface and brightness temperature time series, and to seek indicators of possible temporal variability in that relationship. Here we report an initial study using near-surface temperatures from the Byrd Station automated weather station in West Antarctica and 37 GHz, vertically polarized brightness temperatures from the Scanning Multichannel Microwave Radiometer. We begin with the simplest model of the relevant thermal and microwave physics and derive a convolution expression that relates surface and brightness temperatures. The convolution kernel depends on firn thermal diffusivity and the microwave extinction coefficient in a particularly simple way: solely through a single characteristic time-scale. For the Byrd data, we find that the (fractional variation in) observed brightness temperatures can be reproduced by our model in considerable detail, on scales from interannual down to a few days. The time-scale is tightly constrained by minimization of the discrepancy between observed and simulated time series, and the optimized value agrees closely with that derived from independent estimates of firn thermal and microwave parameters. We find no evidence thus far of temporal variability in the relation between surface and brightness temperatures, though investigation across a wider domain in space and time is needed before such variability can be ruled out. |
Author | Steig, Eric J. Winebrenner, Dale P. Schneider, David P. |
Author_xml | – sequence: 1 givenname: Dale P. surname: Winebrenner fullname: Winebrenner, Dale P. email: dpw@apl.washington.edu organization: Applied Physics Laboratory, Box 355640, University of Washington, Seattle WA 98195, USA E-mail: dpw@apl.washington.edu – sequence: 2 givenname: Eric J. surname: Steig fullname: Steig, Eric J. organization: Department of Earth and Space Sciences, Box 351310, University of Washington, Seattle WA 98195, USA – sequence: 3 givenname: David P. surname: Schneider fullname: Schneider, David P. organization: Department of Earth and Space Sciences, Box 351310, University of Washington, Seattle WA 98195, USA |
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Cites_doi | 10.1029/2002GL015580 10.1016/0034-4257(94)00086-3 10.1175/1520-0442(2000)013<1674:VATIAS>2.0.CO;2 10.1016/S0034-4257(01)00308-X 10.1175/1520-0442(2001)014<1977:DLCIWA>2.0.CO;2 10.1038/33859 10.1017/S0022143000021304 10.1175/1520-0442(2004)017<1569:RCVIAF>2.0.CO;2 10.1029/2002GL015490 |
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References | Schneider, Steig, Comiso 2004; 17 Zwally 1977; 18 Surdyk 2002; 80 Shuman, Stearns 2001; 14 Shuman, Alley, Anandakrishnan, Stearns 1995; 51 King, Comiso 2003; 30 Schneider, Steig 2002; 29 Mann, Bradley, Hughes 1998; 392 Shuman, Comiso 2002; 3 Comiso 2000; 13 Paterson (S0260305500262812_R320) 1994 Shuman (S0260305500262812_R324) 2002; 3 S0260305500262812_R326 S0260305500262812_R314 S0260305500262812_R325 S0260305500262812_R317 (S0260305500262812_R319) 1992 Gloersen (S0260305500262812_R315) 1992 S0260305500262812_R327 S0260305500262812_R322 Carrier (S0260305500262812_R313) 1976 S0260305500262812_R323 S0260305500262812_R329 S0260305500262812_R318 Press (S0260305500262812_R321) 1992 Kevorkian (S0260305500262812_R316) 1989 Boyce (S0260305500262812_R312) 1977 Tsang (S0260305500262812_R328) 1985 |
References_xml | – volume: 30 start-page: 1040 issue: 2 year: 2003 article-title: The spatial coherence of interannual temperature variations in the Antarctic Peninsula publication-title: Geophys. Res. Lett. contributor: fullname: Comiso – volume: 13 start-page: 1674 issue: 10 year: 2000 end-page: 1696 article-title: Variability and trends in Antarctic surface temperatures from in situ and satellite infrared measurements publication-title: J. Climate contributor: fullname: Comiso – volume: 3 start-page: 4 issue: 4 year: 2002 end-page: 113 article-title: In situ and satellite surface temperature records in Antarctic publication-title: Ann. Glaciol. contributor: fullname: Comiso – volume: 80 start-page: 256 issue: 2 year: 2002 end-page: 271 article-title: Using microwave brightness temperature to detect short-term surface air temperature changes in Antarctica: an analytical approach publication-title: Remote Sensing Environ. contributor: fullname: Surdyk – volume: 29 start-page: 1964 issue: 20 year: 2002 article-title: Spatial and temporal variability of Antarctic ice sheet microwave brightness temperatures publication-title: Geophys. Res. Lett. contributor: fullname: Steig – volume: 392 start-page: 779 issue: 6678 year: 1998 end-page: 787 article-title: Global-scale temperature patterns and climate forcing over the past six centuries publication-title: Nature contributor: fullname: Hughes – volume: 17 start-page: 1569 issue: 7 year: 2004 end-page: 1583 article-title: Recent climate variability in Antarctica from satellite-derived temperature data publication-title: J. Climate contributor: fullname: Comiso – volume: 18 start-page: 195 issue: 79 year: 1977 end-page: 215 article-title: Microwave emissivity and accumulation rate of polar firn publication-title: J. Glaciol. contributor: fullname: Zwally – volume: 14 start-page: 1977 issue: 9 year: 2001 end-page: 1988 article-title: Decadal-length composite inland West Antarctic temperature records publication-title: J. Climate contributor: fullname: Stearns – volume: 51 start-page: 245 issue: 2 year: 1995 end-page: 252 article-title: An empirical technique for estimating near-surface air temperature trends in central Greenland from SSM/I brightness temperatures publication-title: Remote Sensing Environ. contributor: fullname: Stearns – ident: S0260305500262812_R317 doi: 10.1029/2002GL015580 – ident: S0260305500262812_R326 doi: 10.1016/0034-4257(94)00086-3 – volume-title: Numerical recipes in FORTRAN: the art of scientific computing. Second edition year: 1992 ident: S0260305500262812_R321 contributor: fullname: Press – volume-title: DMSP/SSM/I brightness temperature and sea ice concentration grids for polar regions on CDROM, user’s guide year: 1992 ident: S0260305500262812_R319 – volume: 3 start-page: 4 year: 2002 ident: S0260305500262812_R324 article-title: In situ and satellite surface temperature records in Antarctic publication-title: Ann. Glaciol. contributor: fullname: Shuman – ident: S0260305500262812_R314 doi: 10.1175/1520-0442(2000)013<1674:VATIAS>2.0.CO;2 – ident: S0260305500262812_R327 doi: 10.1016/S0034-4257(01)00308-X – ident: S0260305500262812_R325 doi: 10.1175/1520-0442(2001)014<1977:DLCIWA>2.0.CO;2 – volume-title: Partial differential equations: analytical solution techniques year: 1989 ident: S0260305500262812_R316 contributor: fullname: Kevorkian – ident: S0260305500262812_R318 doi: 10.1038/33859 – ident: S0260305500262812_R329 doi: 10.1017/S0022143000021304 – volume-title: Partial differential equations: theory and technique year: 1976 ident: S0260305500262812_R313 contributor: fullname: Carrier – volume-title: Elementary differential equations and boundary value problems year: 1977 ident: S0260305500262812_R312 contributor: fullname: Boyce – volume-title: Arctic and Antarctic sea ice, 1978–1987: satellite passive-microwave observations and analysis year: 1992 ident: S0260305500262812_R315 contributor: fullname: Gloersen – ident: S0260305500262812_R323 doi: 10.1175/1520-0442(2004)017<1569:RCVIAF>2.0.CO;2 – ident: S0260305500262812_R322 doi: 10.1029/2002GL015490 – volume-title: The physics of glaciers. Third edition year: 1994 ident: S0260305500262812_R320 contributor: fullname: Paterson – volume-title: Theory of microwave remote sensing year: 1985 ident: S0260305500262812_R328 contributor: fullname: Tsang |
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Title | Temporal co-variation of surface and microwave brightness temperatures in Antarctica, with implications for the observation of surface temperature variability using satellite data |
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