Details:

Journal Title:
Journal of Geophysical Research: Oceans
Personal Author:
Skourup, Henriette ; Farrell, Sinéad Louise ; Hendricks, Stefan ; Ricker, Robert ; Armitage, Thomas W. K. ; ... More +
Skourup, Henriette ; Farrell, Sinéad Louise ; Hendricks, Stefan ; Ricker, Robert ; Armitage, Thomas W. K. ; Ridout, Andy ; Andersen, Ole Baltazar ; Haas, Christian ; Baker, Steven Less -
NOAA Program & Office:
NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CICSM (Cooperative Institute for Climate and Satellites Maryland)
NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CICSM (Cooperative Institute for Climate and Satellites Maryland) Less -
Description:
State-of-the-art Arctic Ocean mean sea surface (MSS) models and global geoid models (GGMs) are used to support sea ice freeboard estimation from satellite altimeters, as well as in oceanographic studies such as mapping sea level anomalies and mean dynamic ocean topography. However, errors in a given model in the high-frequency domain, primarily due to unresolved gravity features, can result in errors in the estimated along-track freeboard. These errors are exacerbated in areas with a sparse lead distribution in consolidated ice pack conditions. Additionally model errors can impact ocean geostrophic currents, derived from satellite altimeter data, while remaining biases in these models may impact longer-term, multisensor oceanographic time series of sea level change in the Arctic. This study focuses on an assessment of five state-of-the-art Arctic MSS models (UCL13/04 and DTU15/13/10) and a commonly used GGM (EGM2008). We describe errors due to unresolved gravity features, intersatellite biases, and remaining satellite orbit errors, and their impact on the derivation of sea ice freeboard. The latest MSS models, incorporating CryoSat-2 sea surface height measurements, show improved definition of gravity features, such as the Gakkel Ridge. The standard deviation between models ranges 0.03–0.25 m. The impact of remaining MSS/GGM errors on freeboard retrieval can reach several decimeters in parts of the Arctic. While the maximum observed freeboard difference found in the central Arctic was 0.59 m (UCL13 MSS minus EGM2008 GGM), the standard deviation in freeboard differences is 0.03–0.06 m.
Keywords:
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Mathematical Models Remote Sensing Sea Ice
Source:
JGR Oceans 122(11): 8593-8613
DOI:
https://doi.org/10.1002/2017jc013176
Document Type:
Journal Article
Funding:
Grant no. NA14NES4320003
Place as Subject:
Arctic Ocean
Rights Information:
CC BY-NC-ND
Compliance:
Submitted
Main Document Checksum:
[+]
urn:sha256:54570877eda416846816c3aebd49f1e900acfb477189045473b84c0f28d94fdb
Download URL:
https://repository.library.noaa.gov/view/noaa/43942/noaa_43942_DS1.pdf
File Type:

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