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A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS. REMOTE SENSING 2022. [DOI: 10.3390/rs14092036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations of the dense water formation, which drives vertical mixing in the upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS in combination with atmospheric reanalysis data have proven to be a strong tool to monitor large and regularly forming polynyas and to resolve narrow thin-ice areas (i.e., leads) along the shelf-breaks and across the entire Arctic Ocean. However, the selection of the atmospheric data sets has a large influence on derived polynya characteristics due to their impact on the calculation of the heat loss to the atmosphere, which is determined by the local thin-ice thickness. In order to overcome this methodical ambiguity, we present a MODIS-assisted temperature adjustment (MATA) algorithm that yields corrections of the 2 m air temperature and hence decreases differences between the atmospheric input data sets. The adjustment algorithm is based on atmospheric model simulations. We focus on the Laptev Sea region for detailed case studies on the developed algorithm and present time series of polynya characteristics in the winter season 2019/2020. It shows that the application of the empirically derived correction decreases the difference between different utilized atmospheric products significantly from 49% to 23%. Additional filter strategies are applied that aim at increasing the capability to include leads in the quasi-daily and persistence-filtered thin-ice thickness composites. More generally, the winter of 2019/2020 features high polynya activity in the eastern Arctic and less activity in the Canadian Arctic Archipelago, presumably as a result of the particularly strong polar vortex in early 2020.
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Comparison of Arctic Sea Ice Concentrations from the NASA Team, ASI, and VASIA2 Algorithms with Summer and Winter Ship Data. REMOTE SENSING 2019. [DOI: 10.3390/rs11212481] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The paper presents a comparison of sea ice concentration (SIC) derived from satellite microwave radiometry data and dedicated ship observations. For the purpose, the NASA Team (NT), Arctic Radiation and Turbulence Interaction Study (ARTIST) Sea Ice (ASI), and Variation Arctic/Antarctic Sea Ice Algorithm 2 (VASIA2) algorithms were used as well as the database of visual ice observations accumulated in the course of 15 Arctic expeditions. The comparison was performed in line with the SIC gradation (in tenths) into very open (1–3), open (4–6), close (7–8), very close and compact (9–10,10) ice, separately for summer and winter seasons. On average, in summer NT underestimates SIC by 0.4 tenth as compared to ship observations, while ASI and VASIA2 by 0.3 tenth. All three algorithms overestimate total SIC in regions of very open ice and underestimate it in regions of close, very close, and compact ice. The maximum average errors are typical of open ice regions that are most common in marginal ice zones. In winter, NT and ASI also underestimate SIC on average by 0.4 and 0.8 tenths, respectively, while VASIA2, on the contrary, overestimates by 0.2 tenth against the ship data, however, for open and close ice the average errors are significantly higher than in summer. In the paper, we also estimate the impact of ice melt stage and presence of new ice and nilas on SIC derived from NT, ASI, and VASIA2.
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Oceanic Convection in the Greenland Sea Odden Region as Interpreted in Satellite Data. ACTA ACUST UNITED AC 2013. [DOI: 10.1029/gm085p0211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Bromwich D, Liu Z, Rogers AN, Van Woert ML. Winter Atmospheric Forcing of the Ross Sea Polynya. OCEAN, ICE, AND ATMOSPHERE: INTERACTIONS AT THE ANTARCTIC CONTINENTAL MARGIN 2013. [DOI: 10.1029/ar075p0101] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Martin S, Munoz E, Drucker R. The effect of severe storms on the ice cover of the northern Tatarskiy Strait. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/92jc01587] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Wensnahan MR, Grenfell TC, Winebrenner DP, Maykut GA. Observations and theoretical studies of microwave emission from thin saline ice. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/93jc00136] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Kwok R, Comiso JC, Martin S, Drucker R. Ross Sea polynyas: Response of ice concentration retrievals to large areas of thin ice. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jc003967] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Satellite remote sensing of the Arctic Ocean and adjacent seas. ACTA ACUST UNITED AC 1995. [DOI: 10.1029/ce049p0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Emery WJ, Fowler C, Maslanik J. Arctic sea ice concentrations from special sensor microwave imager and advanced very high resolution radiometer satellite data. ACTA ACUST UNITED AC 1994. [DOI: 10.1029/94jc01413] [Citation(s) in RCA: 46] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Cavalieri DJ, Martin S. The contribution of Alaskan, Siberian, and Canadian coastal polynyas to the cold halocline layer of the Arctic Ocean. ACTA ACUST UNITED AC 1994. [DOI: 10.1029/94jc01169] [Citation(s) in RCA: 216] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Wensnahan M, Maykut GA, Grenfell TC, Winebrenner DP. Passive microwave remote sensing of thin sea ice using principal component analysis. ACTA ACUST UNITED AC 1993. [DOI: 10.1029/93jc00939] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Eppler DT, Farmer LD, Lohanick AW, Anderson MR, Cavalieri DJ, Comiso J, Gloersen P, Garrity C, Grenfell TC, Hallikainen M, Maslanik JA, Mätzler C, Melloh RA, Rubinstein I, Swift CT. Passive microwave signatures of sea ice. MICROWAVE REMOTE SENSING OF SEA ICE 1992. [DOI: 10.1029/gm068p0047] [Citation(s) in RCA: 89] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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The validation of geophysical products using multisensor data. ACTA ACUST UNITED AC 1992. [DOI: 10.1029/gm068p0233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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Steffen K, Key J, Cavalieri DJ, Comiso J, Gloersen P, Germain KS, Rubinstein I. The estimation of geophysical parameters using passive microwave algorithms. MICROWAVE REMOTE SENSING OF SEA ICE 1992. [DOI: 10.1029/gm068p0201] [Citation(s) in RCA: 73] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Parkinson CL. Spatial patterns of increases and decreases in the length of the sea ice season in the north polar region, 1979–1986. ACTA ACUST UNITED AC 1992. [DOI: 10.1029/92jc01367] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Steffen K, Schweiger A. NASA team algorithm for sea ice concentration retrieval from Defense Meteorological Satellite Program special sensor microwave imager: Comparison with Landsat satellite imagery. ACTA ACUST UNITED AC 1991. [DOI: 10.1029/91jc02334] [Citation(s) in RCA: 119] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Serreze MC, Maslanik JA, Preller RH, Barry RG. Sea ice concentrations in the Canada Basin during 1988: Comparisons with other years and evidence of multiple forcing mechanisms. ACTA ACUST UNITED AC 1990. [DOI: 10.1029/jc095ic12p22253] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Cavalieri DJ, Burns BA, Onstott RG. Investigation of the effects of summer melt on the calculation of sea ice concentration using active and passive microwave data. ACTA ACUST UNITED AC 1990. [DOI: 10.1029/jc095ic04p05359] [Citation(s) in RCA: 57] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Martin S, Cavalieri DJ. Contributions of the Siberian shelf polynyas to the Arctic Ocean intermediate and deep water. ACTA ACUST UNITED AC 1989. [DOI: 10.1029/jc094ic09p12725] [Citation(s) in RCA: 162] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Parkinson CL, Cavalieri DJ. Arctic sea ice 1973–1987: Seasonal, regional, and interannual variability. ACTA ACUST UNITED AC 1989. [DOI: 10.1029/jc094ic10p14499] [Citation(s) in RCA: 87] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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