Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations With AMSR-E Slow Rotation Data

Sea ice estimates from AMSR2 are intercalibrated with AMSR-E fields through a two-step process. First, slow rotation 2 r/min AMSR-E data is used to derive regression equations from colocated pairs of AMSR2 and AMSR-E brightness temperatures (T b s). The regression equations are used to modify AMSR2...

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Published inIEEE journal of selected topics in applied earth observations and remote sensing Vol. 10; no. 9; pp. 3923 - 3933
Main Authors Meier, Walter N., Ivanoff, Alvro
Format Journal Article
LanguageEnglish
Published Goddard Space Flight Center IEEE 01.09.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1939-1404
2151-1535
DOI10.1109/JSTARS.2017.2719624

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Abstract Sea ice estimates from AMSR2 are intercalibrated with AMSR-E fields through a two-step process. First, slow rotation 2 r/min AMSR-E data is used to derive regression equations from colocated pairs of AMSR2 and AMSR-E brightness temperatures (T b s). The regression equations are used to modify AMSR2 T b s into AMSR-E equivalent Tbs that are then input into the NASA Team 2 (NT2) sea ice concentration algorithm used for the AMSR-E standard products. The regressed T b s result in changes in sea ice concentration of a few percent compared to using the original un-regressed AMSR2 T b s. Next, sea ice estimates from the F17 SSMIS sensor are used as a bridge to compare AMSR-E total sea ice extent estimates in 2010 with AMSR2 total sea ice extent estimates in 2013. Based on this comparison, a further adjustment is made to a weather filter threshold used in the NT2 algorithm to minimize the total extent bias between AMSR2 and AMSR-E using a double-differencing approach. The adjustments reduced apparent bias with AMSR-E from ~200 000 km 2 for the original unmodified AMSR2 T b s to -700 and 4700 km 2 for the Arctic and Antarctic, respectively. These differences are within the range of previous passive microwave sea ice intercalibrations. The adjusted AMSR2 sea ice fields provide a nearly 15-year time series of sea ice change; depending on the lifetime of AMSR2 and possible follow-on sensors, AMSR2 has the potential to be part of a multidecadal record of sea ice change.
AbstractList Sea ice estimates from AMSR2 are intercalibrated with AMSR-E fields through a two-step process. First, slow rotation 2 r/min AMSR-E data is used to derive regression equations from colocated pairs of AMSR2 and AMSR-E brightness temperatures (T b s). The regression equations are used to modify AMSR2 T b s into AMSR-E equivalent Tbs that are then input into the NASA Team 2 (NT2) sea ice concentration algorithm used for the AMSR-E standard products. The regressed T b s result in changes in sea ice concentration of a few percent compared to using the original un-regressed AMSR2 T b s. Next, sea ice estimates from the F17 SSMIS sensor are used as a bridge to compare AMSR-E total sea ice extent estimates in 2010 with AMSR2 total sea ice extent estimates in 2013. Based on this comparison, a further adjustment is made to a weather filter threshold used in the NT2 algorithm to minimize the total extent bias between AMSR2 and AMSR-E using a double-differencing approach. The adjustments reduced apparent bias with AMSR-E from ~200 000 km 2 for the original unmodified AMSR2 T b s to -700 and 4700 km 2 for the Arctic and Antarctic, respectively. These differences are within the range of previous passive microwave sea ice intercalibrations. The adjusted AMSR2 sea ice fields provide a nearly 15-year time series of sea ice change; depending on the lifetime of AMSR2 and possible follow-on sensors, AMSR2 has the potential to be part of a multidecadal record of sea ice change.
Sea ice estimates from AMSR2 are intercalibrated with AMSR-E fields through a two-step process. First, slow rotation 2 r/min AMSR-E data is used to derive regression equations from colocated pairs of AMSR2 and AMSR-E brightness temperatures (Tbs). The regression equations are used to modify AMSR2 Tbs into AMSR-E equivalent Tbs that are then input into the NASA Team 2 (NT2) sea ice concentration algorithm used for the AMSR-E standard products. The regressed Tbs result in changes in sea ice concentration of a few percent compared to using the original un-regressed AMSR2 Tbs. Next, sea ice estimates from the F17 SSMIS sensor are used as a bridge to compare AMSR-E total sea ice extent estimates in 2010 with AMSR2 total sea ice extent estimates in 2013. Based on this comparison, a further adjustment is made to a weather filter threshold used in the NT2 algorithm to minimize the total extent bias between AMSR2 and AMSR-E using a double-differencing approach. The adjustments reduced apparent bias with AMSR-E from ~200 000 km2 for the original unmodified AMSR2 Tbs to -700 and 4700 km2 for the Arctic and Antarctic, respectively. These differences are within the range of previous passive microwave sea ice intercalibrations. The adjusted AMSR2 sea ice fields provide a nearly 15-year time series of sea ice change; depending on the lifetime of AMSR2 and possible follow-on sensors, AMSR2 has the potential to be part of a multidecadal record of sea ice change.
Sea ice estimates from AMSR2 are intercalibrated with AMSR-E fields through a two-step process. First, slow rotation 2 r/min AMSR-E data is used to derive regression equations from colocated pairs of AMSR2 and AMSR-E brightness temperatures (Tb s). The regression equations are used to modify AMSR2 Tb s into AMSR-E equivalent Tb s that are then input into the NASA Team 2 (NT2) sea ice concentration algorithm used for the AMSR-E standard products. The regressed Tb s result in changes in sea ice concentration of a few percent compared to using the original un-regressed AMSR2 Tb s. Next, sea ice estimates from the F17 SSMIS sensor are used as a bridge to compare AMSR-E total sea ice extent estimates in 2010 with AMSR2 total sea ice extent estimates in 2013. Based on this comparison, a further adjustment is made to a weather filter threshold used in the NT2 algorithm to minimize the total extent bias between AMSR2 and AMSR-E using a double-differencing approach. The adjustments reduced apparent bias with AMSR-E from 200 000 km2 for the original unmodified AMSR2 Tb s to –700 and 4700 km2 for the Arctic and Antarctic, respectively. These differences are within the range of previous passive microwave sea ice intercalibrations. The adjusted AMSR2 sea ice fields provide a nearly 15-year time series of sea ice change; depending on the lifetime of AMSR2 and possible follow on sensors, AMSR2 has the potential to be part of a multidecadal record of sea ice change.
Audience PUBLIC
Author Meier, Walter N.
Ivanoff, Alvro
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Cites_doi 10.5194/tc-9-1797-2015
10.1016/j.rse.2016.05.020
10.1029/JD089iD04p05355
10.1109/TGRS.2011.2117433
10.1109/36.843033
10.1029/1999JC900081
10.1017/S0022143000034791
10.1109/LGRS.2011.2166754
10.1002/2013RG000431
10.1109/TGRS.2014.2310136
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References ref13
ref12
ref15
ref14
ref11
cavalieri (ref5) 2014
(ref3) 2013
ref2
cavalieri (ref6) 1996
ref1
markus (ref10) 2009; 29
ref8
ref7
ref9
(ref4) 2016
References_xml – ident: ref8
  doi: 10.5194/tc-9-1797-2015
– year: 1996
  ident: ref6
  publication-title: Sea Ice Concentrations From Nimbus-7 SMMR and DMSP SSM/I Passive Microwave Data
– ident: ref2
  doi: 10.1016/j.rse.2016.05.020
– ident: ref15
  doi: 10.1029/JD089iD04p05355
– year: 2016
  ident: ref4
  publication-title: Data User's Manual for the Advanced Microwave Scanning Radiometer 2 (AMSR2) Onboard the Global Change Observation Mission 1st-Water "Shizuku" (GCOM-W1)
– volume: 29
  start-page: 216
  year: 2009
  ident: ref10
  article-title: The AMSR-E NT2 sea ice concentration algorithm: Its basis and implementation
  publication-title: J Remote Sens Soc Jpn
– year: 2013
  ident: ref3
  publication-title: AMSR-E Slow Rotation Data Format Description Document
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  doi: 10.1109/TGRS.2011.2117433
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  doi: 10.1109/36.843033
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  doi: 10.1029/1999JC900081
– ident: ref11
  doi: 10.1017/S0022143000034791
– ident: ref14
  doi: 10.1109/LGRS.2011.2166754
– year: 2014
  ident: ref5
  publication-title: AMSR-E/Aqua Daily L3 12 5 Km Brightness Temperature Sea Ice Conentration & Snow Depth Polar Grids V002
– ident: ref1
  doi: 10.1002/2013RG000431
– ident: ref7
  doi: 10.1109/TGRS.2014.2310136
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SubjectTerms Algorithms
AMSR2
antarctic
arctic
Atmospheric modeling
Bias
Bridges
Calibration
Estimates
Fields
Ice
Ice fields
Intercalibration
Mathematical analysis
Mathematical models
Melting
Meteorology
NASA
Neurotrophin 2
passive microwave (PM)
remote sensing
Rotation
Sea ice
Sea surface
Title Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations With AMSR-E Slow Rotation Data
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