Journal metrics

Journal metrics

  • IF value: 4.524 IF 4.524
  • IF 5-year value: 5.558 IF 5-year 5.558
  • CiteScore value: 4.84 CiteScore 4.84
  • SNIP value: 1.425 SNIP 1.425
  • SJR value: 3.034 SJR 3.034
  • IPP value: 4.65 IPP 4.65
  • h5-index value: 52 h5-index 52
  • Scimago H index value: 55 Scimago H index 55
The Cryosphere, 12, 921-933, 2018
https://doi.org/10.5194/tc-12-921-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
14 Mar 2018
Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models
Friedrich Richter et al.
Download
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Referee Comment', Anonymous Referee #1, 02 Jan 2017 Printer-friendly Version 
AC1: 'Re: Referee comment', Friedrich Richter, 31 Jan 2017 Printer-friendly Version Supplement 
 
AC2: 'Comments', Friedrich Richter, 13 Feb 2017 Printer-friendly Version Supplement 
 
RC2: 'Comments', Anonymous Referee #2, 14 Feb 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Friedrich Richter on behalf of the Authors (18 May 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (01 Jun 2017) by Julienne Stroeve
ED: Publish subject to minor revisions (Editor review) (04 Jul 2017) by Julienne Stroeve  
AR by Anna Mirena Feist-Polner on behalf of the Authors (11 Sep 2017)  Author's response
ED: Publish subject to minor revisions (Editor review) (24 Sep 2017) by Julienne Stroeve  
AR by Lars Kaleschke on behalf of the Authors (02 Feb 2018)  Author's response  Manuscript
ED: Publish as is (03 Feb 2018) by Julienne Stroeve
CC BY 4.0
Publications Copernicus
Download
Short summary
L-band (1.4 GHz) brightness temperatures from ESA's Soil Moisture and Ocean Salinity SMOS mission have been used to derive thin sea ice thickness. However, the brightness temperature measurements can potentially be assimilated directly in forecasting systems reducing the data latency and providing a more consistent first guess. We studied the forward (observation) operator that translates geophysical sea ice parameters from the ECMWF Ocean ReAnalysis Pilot 5 (ORAP5) into brightness temperatures.
L-band (1.4 GHz) brightness temperatures from ESA's Soil Moisture and Ocean Salinity SMOS...
Share