NSIDC/Univ. of Colorado Sea Ice Motion and Age Products

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1 NSIDC/Univ. of Colorado Sea Ice Motion and Age Products

2 Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Passive microwave, AVHRR, and buoy motions Individual fields for each sensor + optimally interpolated combined field Daily, weekly, monthly motions Maximum cross correlation method Fowler and Maslanik, Univ. Colorado Currently , providing long-term record of ice motion Originally produced under Polar Pathfinder grant, updated periodically Update through 2009 expected soon, will include AMSR-E motions Input into ice age fields (next slide) Antarctic sea ice motion Week of September 1, 2006

3 Peer-reviewed references ice motion Initial references on method: Ninnis, R.M., W.J. Emery, and M.J. Collins, Automated extraction of pack ice motion from advanced very high resolution radiometer imagery, J. Geophys. Res., 91, 10,725-10,734, Emery, W.J., C.W. Fowler, J. Hawkins, and R.H. Preller, Fram Strait satellite image derived ice motions, J. Geophys. Res., 96, , Evaluation, error analysis references: Meier, W.N., J. Maslanik, and C. Fowler, Error analysis and assimilation of remotely sensed ice motion within an Arctic sea ice model, J. Geophys. Res., 105(C2), , Meier, W.N., and J. Maslanik, Effect of environmental conditions on observed, modeled, and assimilated sea ice motion errors, J. Geophys. Res., 108(C5), 3152, doi: /2002jc001333, Selected research applications of motions: Emery, W.J., C.W. Fowler, J.A. Maslanik, Satellite-derived maps of Arctic and Antarctic sea ice motions: , Geophys. Res. Lett., 24, , 1997a. Emery, W.J., C. Fowler, J. Maslanik, and S. Pfirman, New satellite-derived sea ice motion tracks Arctic contamination, Mar. Poll. Bull., 35, , 1997b. Meier, W.N., M. Marques, M. Kaminski, and R. Weaver, NASA EOS sensors demonstrate potential for multiparameter studies of Arctic sea ice, Eos, 85(46), Selected papers also using MCC method: Agnew, T., H. Le, and T. Hirose, Estimation of large scale sea ice motion from SSM/I 85.5 GHz imagery, Ann. Glaciol., 25, , Kwok, R., A. Schweiger, D.A. Rothrock, S. Pang, and C. Kottmeier, Sea ice motion from satellite passive microwave imagery assessed with ERS SAR and buoy motions, J. Geophys. Res., 103, , Haarpaintner, J., Arctic-wide operational sea ice drift from enhanded-resolution QuikScat/SeaWinds scatterometry and its validation, IEEE Trans. Geosci. Rem. Sens., 44(1), 2006

4 Peer-reviewed references ice age Initial reference on method: Fowler, C., W.J. Emery, and J. Maslanik, Satellite-derived evolution of Arctic sea ice age: October 1978 to March 2003, IEEE Geosci. Rem. Sens. Lett., 1(2), 71-74, doi: /lgrs , Research applications of ice age J. A. Maslanik, C. Fowler, J. Stroeve, S. Drobot, J. Zwally, D. Yi, and W. Emery, A younger, thinner Arctic ice cover: Increased potential for rapid, extensive sea-ice loss, Geophys. Res. Lett., 34, L24501, doi: /2007gl032043, Drobot, S., J. Stroeve, J. Maslanik, W. Emery, C. Fowler, and J. Kay, Evolution of the Arctic sea ice covera nd prospects for a new record in 2008, Geophys. Res. Lett., 35, L19501, doi: /2008GL035316, Stroeve, J.C., J. Maslanik, M.C. Serreze, I. Rigor, W. Meier, and C. Fowler, Sea ice response to an extreme negative phase of the Arctic Oscillation during winter 2009/2010, submitted to Geophys. Res. Lett. Other ice age products also using Langragian approach (w/ buoys): Rigor, I. G., and J. M. Wallace, Variations in the age of Arctic seaice and summer sea-ice extent, Geophys. Res. Lett., 31, L09401, doi: /2004gl019492, Footer here. Sample content: tagline, conference title, presentation title, etc.

5 Other documentation and applications Climate assessment applications: NOAA State of the Climate Report 2009, D.S. Arndt, M.O. Baringer, and M.R. Johnson, Eds., Spec. Suppl. Bull. Am. Meteorol. Soc., 91(7), Arctic Council Snow, Water, Ice Permafrost in the Arctic (SWIPA) Report, to be published in 2011 NOAA Arctic Report Card 2010, D. Perovich, Ed., to be published later in Non-peer reviewed documentation: Maslanik, J., T. Agnew, M. Drinkwater, W. Emery, C. Fowler, R. Kwok, A. Liu, Summary of icemotion mapping using passive microwave data, NSIDC Special Pub. 8, 25 pp., Nov Meier, W., Implementation of the University of Colorado ice motion tracking algorithm using SSM/I 85 GHz imagery from Fleet Numerical Meteorol. and Oceanogr. Center, U.S. National Ice Center Tech. Manual, 20 pp., August Meier, W., Remotely sensed sea ice motion from SSM/I imagery: Evaluation of available algorithms for operational applications, U.S. National Ice Center Tech. Report, 22 pp., April Footer here. Sample content: tagline, conference title, presentation title, etc.

Sea ice age Research-level product by Maslanik and Fowler Lagrangian tracking of sea ice, based on ice motion estimates Age categories up to 9 year old ice 1979-present, updated monthly, provided on

6 Sea ice age Research-level product by Maslanik and Fowler Lagrangian tracking of sea ice, based on ice motion estimates Age categories up to 9 year old ice 1979-present, updated monthly, provided on request to interested researchers One of only sources that provides complete, long-term, basin-scale indication of ice thickness/volume Currently supported by NOAA CDR grant Important input into Arctic Sea Ice News and Analysis, SEARCH Sea Ice Outlook, etc. Plan to transition data and processing to NSIDC in the coming year

Passive Microwave Sea Ice Concentration Climate Data Record

Passive Microwave Sea Ice Concentration Climate Data Record 1. Intent of This Document and POC 1a) This document is intended for users who wish to compare satellite derived observations with climate model