Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations With AMSR-E Slow Rotation Data
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 (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 km2for the original unmodified AMSR2 Tbs to -700 and 4700 km2for 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.
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Such a wavelength is typically used in filtering weather effects in other SIC CDRs.
“Such a wavelength is typically used in filtering weather effects in other SIC CDRs (e.g.Meier et al., 2017).”
From Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records (2019) · cites this paper as Meier et al., 2017
The NOAA/NSIDC sea ice concentration CDR uses the Cavalieri et al. (1992) thresholds, except for Southern Hemisphere processing for SSMIS F17, where the GR3719v threshold is set to 0.053.
“The NOAA/NSIDC sea ice concentration CDR uses the Cavalieri et al. (1992) thresholds, with the exception of Southern Hemisphere processing for SSMIS F17, where the GR3719v threshold is set to 0.053 (Algorithm Theoretical Basis Document for Meier et al., 2017).”
From Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records (2019) · cites this paper as Meier et al., 2017
The monthly varying maximum sea-ice extent climatology implemented in Meier et al. (2017) was used as a basis for the new climatology.
“By the same token, the monthly varying maximum sea-ice extent climatology implemented in Meier et al. (2017) was used as a basis for our own climatology.”
From Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records (2019) · cites this paper as Meier et al., 2017
Conversely to other CDRs, the channels around 22 GHz are not used for filtering water vapour contamination.
“Conversely to other CDRs (e.g.Meier et al., 2017 and its two algorithm components bootstrap and NasaTeam), the channels around 22 GHz are not used for filtering water vapour contamination.”
From Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records (2019) · cites this paper as Meier et al., 2017
This is one of the reasons why the Meier et al. (2017) data set only starts with SSM/I F08 on 9 July 1987 as a fully qualified CDR.
“This is one of the reasons why the Meier et al. (2017) data set only starts with SSM/I F08 on 9 July 1987 as a fully qualified CDR (according to https://nsidc.org/data/g02202, last access: 1 June 2018).”
From Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records (2019) · cites this paper as Meier et al. (2017)
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Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records
Lavergne, T., Sørensen, A. M., Kern, S., Tonboe, R., Notz, D., Aaboe, S., Bell, L., Dybkjær, G., Eastwood, S., Gabarro, C., et al. (2019) · The Cryosphere · doi:10.5194/tc-13-49-2019 · Cited by 469 · see citing works
“The NOAA/NSIDC sea ice concentration CDR uses the Cavalieri et al. (1992) thresholds, with the exception of Southern Hemisphere processing for SSMIS F17, where the GR3719v threshold is set to 0.053 (Algorithm Theoretical Basis Document for Meier et al., 2017).”
BackgroundMethodInfluential
- Authors
- Meier, W. N., & Ivanoff, A.
- Affiliations
- Goddard Space Flight Center (US)
- ORCID
- Meier, Walter N.
- Venue
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Published
- 2017-09
- Volume
- 10
- Issue
- 9
- Pages
- 3923-3933
- ISSN
- 1939-1404 (ISSN-L)
- 2151-1535
- OpenAlex
- W2734956506
- Cited by
- 26
- References
- 0
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 4 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 2 · 2018: 1 · 2017: 2
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (publishedVersion)
- Funders
- NASA
- NASA AMSR2 Science Team
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Arctic and Antarctic ice dynamics
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Cryospheric studies and observations
- Keywords
- AMSR2, AMSR-E, sea ice concentration, cross-calibration, sea ice extent, double differencing, Arctic sea ice, Antarctic sea ice, passive microwave remote sensing
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