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Physical retrieval of sea-surface temperature from INSAT-3D imager observations Cover

Physical retrieval of sea-surface temperature from INSAT-3D imager observations

Tellus
Volume 71 (2019): Issue 1
By:  and    
Open Access
|Jan 2019
References

References

  1. Banzon, V. F., Reynolds, R. W., Stokes, D. and Xue, Y. 2014 . A 1/4°-spatial-resolution daily sea surface temperature climatology based on a blended satellite and in situ analysis. J. Climate 27 , 8221–8228. doi: 10.1175/JCLI-D-14-00293.1
    Open DOISearch in Google ScholarBack to article
  2. Cracknell , A. P. 1997 . The Advanced Very High Resolution Radiometer (OVARY). Taylor & Francis , London .
    Search in Google ScholarBack to article
  3. Donlon , C. J. , Casey , K. S. , Robinson , I. S. , Gentemann , C. L. , Reynolds , R. W. , and co-authors. 2009 . The GODAE high-resolution sea surface temperature pilot project . Oceanography 22 , 34 – 45 . doi: 10.5670/oceanog.2009.64
    Open DOISearch in Google ScholarBack to article
  4. Emery , W. J. , Castro , S. , Wick , G. A. , Schluessel , P. and Donlon , C. 2001 . Estimating sea surface temperature from infrared satellite and in situ temperature data . Bull. Amer. Meteor. Soc. 82 , 2773 – 2786 . doi: 10.1175/1520-0477(2001)082<;2773:ESSTFI>2.3.CO;2
    Open DOISearch in Google ScholarBack to article
  5. Esias , W. E. , Abbott , M. R. , Barton , I. , Brown , O. B. , Campbell , J. W. , Carder , K. L. , and co-authors. 1998 . An overview of MODIS capabilities for ocean science observations . IEEE Trans. Geosci. Remote Sens. 36 , 1250 – 1265 . doi: 10.1109/36.701076
    Open DOISearch in Google ScholarBack to article
  6. EPSA. 2015 . INSAT-3D Algorithm Theoretical Basis Document. Space Applications Centre, Government of India. Online at: http://mosdac.gov.in/doc/INSAT_3D_ATBD_MAY_2015.pdf .
    Search in Google ScholarBack to article
  7. Xu , F. and Ignatov , A. 2014 . In situ SST Quality Monitor (iQuam) . J. Atmos. Oceanic Technol. 31 , 164 – 180 . doi: 10.1175/JTECH-D-13-00121.1
    Open DOISearch in Google ScholarBack to article
  8. Gentemann , C. L. 2014 . Three way validation of MODIS and AMSR-E sea surface temperatures . J. Geophys. Res. Oceans 119 , 2583 – 2598 . doi: 10.1002/2013JC009716
    Open DOISearch in Google ScholarBack to article
  9. Harris , A. R. and Saunders , M. A. 1996 . Global validation of the along-track scanning radiometer against drifting buoys . J. Geophys. Res. 101 , 12127 – 12140 . doi: 10.1029/96JC00317
    Open DOISearch in Google ScholarBack to article
  10. Hewison , T. J. 2013 . an evaluation of the uncertainty of the GSICS SEVIRI-IASI intercalibration products . IEEE-TGRS 51 , 3,
    Search in Google ScholarBack to article
  11. Hillger , D. W. and Vonder Haar , T. H. 1988 . Estimating noise levels of remotely sensed measurements from satellites using spatial structure analysis . J. Atmos. Oceanic Technol. 5 , 206 – 214 . doi: 10.1175/1520-0426(1988)005<;0206:ENLORS>2.0.CO;2
    Open DOISearch in Google ScholarBack to article
  12. Inamdar , S. , Bovolo , F. , Bruzzone , L. and Chaudhuri , S. 2008 . Multidimensional probability density function matching for preprocessing of multitemporal remote sensing images . IEEE Trans. Geosci. Remote Sens. 46 , 1243 – 1252 . doi: 10.1109/TGRS.2007.912445
    Open DOISearch in Google ScholarBack to article
  13. Kilpatrick , K. A. , Podesta , G. , Walsh , S. , Williams , E. , Halliwell , V. and co-authors. 2015 . A decade of sea surface temperature from MODIS . Remote Sens. Environ. 165 , 27 – 41 . doi: 10.1016/j.rse.2015.04.023
    Open DOISearch in Google ScholarBack to article
  14. Koner , P. K. , Harris , A. R. and Maturi , E. 2015 . A physical deterministic inverse method for operational satellite remote sensing: An application for sea surface temperature retrievals . IEEE Trans. Geosci. Remote Sens. 53 , 5872 – 5888 . doi: 10.1109/TGRS.2015.2424219
    Open DOISearch in Google ScholarBack to article
  15. Koner , P. K. and Harris , A. 2016 . Improved quality of MODIS sea surface temperature retrieval and data coverage using physical deterministic methods . Remote Sens. 8 , 454 . doi: 10.3390/rs8060454
    Open DOISearch in Google ScholarBack to article
  16. Le Borgne , P. , Legendre , G. and Marsouin , A. 2006 . SST retreival from MSG/SEVIRI data paper presented at The Meteorological Satellite Conference Eur Organ for the Exploit ofMeteorol Satell Helsinki.
    Search in Google ScholarBack to article
  17. Line , M. R. , Zhang , X. , Vasisht , G. , Natraj , V. , Pin , C. , and co-authors . 2012 . Information content of exoplanetary transit spectra: An initial look . Astrophys. J. 749, 93.
    Search in Google ScholarBack to article
  18. McMillin , L. M. and Crosby , D. S. 1984 . Theory and validation of the multiple window sea surface temperature technique . J. Geophys. Res. 89 , 3655 – 3661 . doi: 10.1029/JC089iC03p03655
    Open DOISearch in Google ScholarBack to article
  19. Merchant , C. J. , Le Borgne , P. , Roquet , H. and Legendre , G. 2013 . Extended optimal estimation techniques for sea surface temperature from the Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) . Remote Sens. Environ. 131 , 287 – 297 . doi: 10.1016/j.rse.2012.12.019
    Open DOISearch in Google ScholarBack to article
  20. Merchant , C. J. , Harris , A. R. , Roquet , H. and Le Borgne , P. 2009 . Retrieval characteristics of non-linear sea surface temperature from Advanced Very High Resolution Radiometer . Geophys. Res. Lett. 36 , L17604 . doi: 10.1029/2009GL039843
    Open DOISearch in Google ScholarBack to article
  21. Merchant, C. J., Horrocks, L. A., Eyre, J. and O'Carroll, A. G. 2006 . Retrievals of sea surface temperature from infra-red imagery: Origin and form of systematic errors. Quart. J. Royal Met. Soc. 132 , 1205–1223.
    Search in Google ScholarBack to article
  22. Merchant , C. J. and Le Borgne , P. 2004 . Retrieval of sea surface temperature from space based on modeling of infrared radiative transfer: Capabilities and limitations . J. Atmos. Oceanic Technol. 22 , 1734 – 1746 . http://dx.doi.org/10.1175/JTECH1667.1 .
    Search in Google ScholarBack to article
  23. Merchant , C. J. , Le Borgne , P. , Marsouin , A. and Roquet , H. 2008 . Optimal estimation of sea surface temperature from split-window observations . Remote Sens. Environ. 112 , 2469 – 2484 . doi: 10.1016/j.rse.2007.11.011
    Open DOISearch in Google ScholarBack to article
  24. Minnett , P. J. ( 2010 ). The validation of sea surface temperature retrievals from spaceborne infrared radiometers . In: Oceanography from Space, Revisited (ed. V. Barale ). Springer , Heidelberg, Germany , pp. 273 – 295 .
    Search in Google ScholarBack to article
  25. Mutlow , C. T. , Zavody , A. M. , Barton , I. J. and Llewellyn-Jones , D. T. 1994 . Sea surface temperature measurements by the along-track scanning radiometer on the ERS-1 satellite: Early results . J. Geophys. Res. 99 , 22575 – 22588 . doi: 10.1029/94JC01758
    Open DOISearch in Google ScholarBack to article
  26. Nielsen-Englyst, P., Høyer, J. L., Toudal Pedersen, L., Gentemann, C. L., Alerskans, E. and co-authors. 2018 . Optimal estimation of sea surface temperature from AMSR-E. Remote Sens. 10 , 229 .
    Search in Google ScholarBack to article
  27. Parrish , D. F. and Derber , J. C. 1992 . The national meteorological center’s spectral statistical-interpolation analysis system . Mon. Wea. Rev. 120 , 1747 – 1763 . doi: 10.1175/1520-0493(1992)120<;1747:TNMCSS>2.0.CO;2
    Open DOISearch in Google ScholarBack to article
  28. Prigent , C. , Aires , F. , Bernardo , F. , Orlhac , J. C. , Goutoule , J. M. and co-authors. 2013 . Analysis of the potential and limitations of microwave radiometry for the retrieval of sea surface temperature: Definition of MICROWAT, a new mission concept . J. Geophys. Res. Oceans 118 , 3074 – 3086 . doi: 10.1002/jgrc.20222
    Open DOISearch in Google ScholarBack to article
  29. Ricciardulli , L. and Wentz , F. J. 2004 . Uncertainties in sea surface temperature retrievals from space: Comparison of microwave and infrared observations from TRMM . J. Geophys. Res 109 , C 12013 .
    Search in Google ScholarBack to article
  30. Rodgers , C. D. 2000 . Inverse Methods for Atmospheric Sounding, Theory and Practice World Scientific , Singapore .
    Search in Google ScholarBack to article
  31. Saunders , R. W. , Matricardi , M. and Brunel , P. 1999 . An improved fast radiative transfer model for assimilation of satellite radiance observations . Q.J.R. Meteorol. Soc. 125 , 1407 – 1425 . doi: 10.1002/qj.1999.49712555615
    Open DOISearch in Google ScholarBack to article
  32. Saunders , R. , Rayer , P. , Brunel , P. , von Engeln , A. , Bormann , N. and co-authors. 2007 . A comparison of radiative transfer models for simulating Atmospheric Infrared Sounder (AIRS) radiances . J. Geophys. Res. 112 , D01 – S90 .
    Search in Google ScholarBack to article
  33. Schmit , T. J. , Gunshor , M. M. , Menzel , W. P. , Gurka , J. J. , Li , J. and co-authors. 2005 . Introducing the next-generation Advanced Baseline Imager on GOES-R . Bull. Am. Meteor. Soc. 86 , 1079 – 1096 . doi: 10.1175/BAMS-86-8-1079
    Open DOISearch in Google ScholarBack to article
  34. Sherlock , V. J. 1999 . ISEM-6: Infrared Surface Emissivity Model for RTTOV-6 . NWP Tech. Rep. 287 .
    Search in Google ScholarBack to article
  35. Singh , R. , Ojha , S. P. , Kishtawal , C. M. , Pal , P. K. and Kiran Kumar , A. S. 2016a . Impact of the assimilation of INSAT-3D radiances on short-range weather forecasts . QJR Meteorol. Soc. 142 , 120 – 131 . doi: 10.1002/qj.2636
    Open DOISearch in Google ScholarBack to article
  36. Singh , R. , Singh , C. , Ojha , S. P. , Kumar , A. S. , Kishtawal , C. M. and co-authors. 2016b . Land surface temperature from INSAT-3D imager data: Retrieval and assimilation in NWP model . J. Geophys. Res. Atmos. 121 , 6909 – 6926 . doi: 10.1002/2016JD024752
    Open DOISearch in Google ScholarBack to article
  37. Walton , C. C. , Pichel , W. G. , Sapper , J. F. and May , D. A. 1998 . The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polarorbiting environmental satellites . J. Geophys. Res. 103 , 27999 – 28012 . doi: 10.1029/98JC02370
    Open DOISearch in Google ScholarBack to article
  38. Zavody , A. M. , Mutlow , C. and Llewellynjones , D. T. 1995 . A radiative-transfer model for sea-surface temperature retrieval for the along-track scanning radiometer . J. Geophys. Res. 100 .
    Search in Google ScholarBack to article
  39. Zhuge , X. and Zou , X. 2016 . Test of a modified infrared-only ABI cloud mask algorithm for ahi radiance observations . J. Appl. Meteor. Climatol. 55 , 2529 – 2546 . doi: 10.1175/JAMC-D-16-0254.1
    Open DOISearch in Google ScholarBack to article
  40. EUMETSAT/OSI SAF. 2017 . GHRSST Level 3C Indian-Ocean (IO) sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG1 in GDS2 format produced by OSISAF.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1080/16000870.2019.1657767 | Journal eISSN: 3035-9554
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Language: English
Page range: 1657767 - 1657767
Published on: Jan 1, 2019
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
sea-surface temperature,
INSAT-3D,
physical retrieval,
RTTOV

© 2019 Satya P. Ojha, Randhir Singh, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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