FN Archimer Export Format
PT J
TI Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets
BT 
AF Sandven, Stein
   Spreen, Gunnar
   Heygster, Georg
   GIRARD-ARDHUIN, Fanny
   Farrell, Sinéad L.
   Dierking, Wolfgang
   Allard, Richard A.
AS 1:1;2:2;3:3;4:4;5:5;6:6,7;7:8;
FF 1:;2:;3:;4:PDG-ODE-LOPS-SIAM;5:;6:;7:;
C1 Nansen Environmental and Remote Sensing Center, Jahnebakken 3, 5007, Bergen, Norway
   Institute of Environmental Physics, University of Bremen, 28359, Bremen, Germany
   GEORG-Lab and Institute of Environmental Physics, University of Bremen, 28359, Bremen, Germany
   Ifremer, UBO, CNRS, IRD, Laboratoire d’Océanographie Spatiale (LOPS), IUEM, 29280, Plouzané, France
   Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA
   Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570, Bremerhaven, Germany
   University of Tromsø, the Arctic University of Norway, 9019, Tromsø, Norway
   Ocean Sciences Division, U. S. Naval Research Laboratory, Stennis Space Center, Hancock County, MS, 39529, USA
C2 NERSC, NORWAY
   UNIV BREMEN, GERMANY
   UNIV BREMEN, GERMANY
   IFREMER, FRANCE
   UNIV MARYLAND, USA
   INST A WEGENER, GERMANY
   UNIV TROMSO, NORWAY
   NAVAL RES LAB, USA
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-europe
   copubli-int-hors-europe
IF 4.6
TC 5
UR https://archimer.ifremer.fr/doc/00831/94308/101700.pdf
LA English
DT Article
DE ;Polar regions;Sea ice;Climate;Satellite remote sensing;Modelling
AB Sea ice monitoring by polar orbiting satellites has been developed over more than four decades and is today one of the most well-established applications of space observations. This article gives an overview of data product development from the first sensors to the state-of-the-art regarding retrieval methods, new products and operational data sets serving climate monitoring as well as daily operational services including ice charting and forecasting. Passive microwave data has the longest history and represents the backbone of global ice monitoring with already more than four decades of consistent observations of ice concentration and extent. Time series of passive microwave data is the primary climate data set to document the sea ice decline in the Arctic. Scatterometer data is a valuable supplement to the passive microwave data, in particular to retrieve ice displacement and distinguish between firstyear and multiyear ice. Radar and laser altimeter data has become the main method to estimate sea ice thickness and thereby fill a gap in the observation of sea ice as an essential climate variable. Data on ice thickness allows estimation of ice volume and masses as well as improvement of the ice forecasts. The use of different altimetric frequencies also makes it possible to measure the depth of the snow covering the ice. Synthetic Aperture Radar (SAR) has become the work horse in operational ice observation on regional scale because high-resolution radar images are delivered year-round in nearly all regions where national ice services produce ice charts. Synthetic Aperture Radar data are also important for sea ice research because the data can be used to observe a number of sea ice processes and phenomena, like ice type development and sea ice dynamics, and thereby contribute to new knowledge about sea ice. The use of sea ice data products in modelling and forecasting services as well as in ice navigation is discussed. Finally, the article describes future plans for new satellites and sensors to be used in sea ice observation. 
PY 2023
PD OCT
SO Surveys In Geophysics
SN 0169-3298
PU Springer Science and Business Media LLC
VL 44
IS 5
UT 000962707200001
BP 1653
EP 1689
DI 10.1007/s10712-023-09781-0
ID 94308
ER

EF