Xi Zhang;Quanfang Zhao;Gui Gao;Jie Zhang;Meng Bao;Junmin Meng
{"title":"海冰、雪和海水密度对ku波段SAR高度计反演北极海冰厚度的影响及校正","authors":"Xi Zhang;Quanfang Zhao;Gui Gao;Jie Zhang;Meng Bao;Junmin Meng","doi":"10.1109/JMASS.2022.3212880","DOIUrl":null,"url":null,"abstract":"Satellite radar altimeters (RAs) can measure sea-ice thickness on a large scale. According to the assumption of isostatic equilibrium, knowing the density of water, snow, and ice is crucial to estimating the thickness of sea ice from altimeters. Therefore, using inaccurate density values to estimate sea-ice thickness from RAs will lead to unreliable results. This article proposes a method to evaluate and correct density (\n<inline-formula> <tex-math>$\\rho $ </tex-math></inline-formula>\n) ratios, \n<inline-formula> <tex-math>$\\rho _{w}/{(}\\rho _{w}-\\rho _{i}{)}$ </tex-math></inline-formula>\n and \n<inline-formula> <tex-math>$\\rho _{s}/{(}\\rho _{w}-\\rho _{i}{)}$ </tex-math></inline-formula>\n, where subscripts \n<inline-formula> <tex-math>${i}$ </tex-math></inline-formula>\n, \n<inline-formula> <tex-math>${w}$ </tex-math></inline-formula>\n, and \n<inline-formula> <tex-math>${s}$ </tex-math></inline-formula>\n represent sea ice, water, and snow, respectively, by using sea ice freeboard of CryoSat-2 (CS-2) and Sentinel-3A (S3), Operational IceBridge ice thickness, and modified climatological snow depth data. In addition to comparing the calculated density ratio (DR) with the DR commonly used in the previous studies, we also investigate how input density parameters affect the accuracy of freeboard-to-thickness conversion of the satellite RA. Our results indicate that the \n<inline-formula> <tex-math>$\\rho _{i}$ </tex-math></inline-formula>\n of first-year ice (FYI) region used by the ESA sea ice climate change initiative product (ESA SICCI) is generally large, whereas \n<inline-formula> <tex-math>$\\rho _{s}$ </tex-math></inline-formula>\n is significantly small. For a more accurate inversion of Arctic sea-ice thickness, \n<inline-formula> <tex-math>$\\rho _{w}/{(}\\rho _{w}-\\rho _{i}{)} = 9.01$ </tex-math></inline-formula>\n and \n<inline-formula> <tex-math>$\\rho _{s}/{(}\\rho _{w}-\\rho _{i}{)} = 3.52$ </tex-math></inline-formula>\n can be used for FYI, and \n<inline-formula> <tex-math>$\\rho _{w}/{(}\\rho _{w}-\\rho _{i}{)} = 7.20$ </tex-math></inline-formula>\n and \n<inline-formula> <tex-math>$\\rho _{s}/(\\rho _{w}-\\rho _{i}) =2.30$ </tex-math></inline-formula>\n can be used for multiyear ice (MYI) region. Because \n<inline-formula> <tex-math>$\\rho _{w}$ </tex-math></inline-formula>\n is relatively stable and easy to observe, the proposed method also can be used to invert sea ice density \n<inline-formula> <tex-math>$\\rho _{i}$ </tex-math></inline-formula>\n and snow layer density \n<inline-formula> <tex-math>$\\rho _{s}$ </tex-math></inline-formula>\n from estimated DRs.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"3 4","pages":"276-283"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Impact and Correction of Sea Ice, Snow, and Seawater Density on Arctic Sea-Ice Thickness Retrieval From Ku-Band SAR Altimeters\",\"authors\":\"Xi Zhang;Quanfang Zhao;Gui Gao;Jie Zhang;Meng Bao;Junmin Meng\",\"doi\":\"10.1109/JMASS.2022.3212880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Satellite radar altimeters (RAs) can measure sea-ice thickness on a large scale. According to the assumption of isostatic equilibrium, knowing the density of water, snow, and ice is crucial to estimating the thickness of sea ice from altimeters. Therefore, using inaccurate density values to estimate sea-ice thickness from RAs will lead to unreliable results. This article proposes a method to evaluate and correct density (\\n<inline-formula> <tex-math>$\\\\rho $ </tex-math></inline-formula>\\n) ratios, \\n<inline-formula> <tex-math>$\\\\rho _{w}/{(}\\\\rho _{w}-\\\\rho _{i}{)}$ </tex-math></inline-formula>\\n and \\n<inline-formula> <tex-math>$\\\\rho _{s}/{(}\\\\rho _{w}-\\\\rho _{i}{)}$ </tex-math></inline-formula>\\n, where subscripts \\n<inline-formula> <tex-math>${i}$ </tex-math></inline-formula>\\n, \\n<inline-formula> <tex-math>${w}$ </tex-math></inline-formula>\\n, and \\n<inline-formula> <tex-math>${s}$ </tex-math></inline-formula>\\n represent sea ice, water, and snow, respectively, by using sea ice freeboard of CryoSat-2 (CS-2) and Sentinel-3A (S3), Operational IceBridge ice thickness, and modified climatological snow depth data. In addition to comparing the calculated density ratio (DR) with the DR commonly used in the previous studies, we also investigate how input density parameters affect the accuracy of freeboard-to-thickness conversion of the satellite RA. Our results indicate that the \\n<inline-formula> <tex-math>$\\\\rho _{i}$ </tex-math></inline-formula>\\n of first-year ice (FYI) region used by the ESA sea ice climate change initiative product (ESA SICCI) is generally large, whereas \\n<inline-formula> <tex-math>$\\\\rho _{s}$ </tex-math></inline-formula>\\n is significantly small. For a more accurate inversion of Arctic sea-ice thickness, \\n<inline-formula> <tex-math>$\\\\rho _{w}/{(}\\\\rho _{w}-\\\\rho _{i}{)} = 9.01$ </tex-math></inline-formula>\\n and \\n<inline-formula> <tex-math>$\\\\rho _{s}/{(}\\\\rho _{w}-\\\\rho _{i}{)} = 3.52$ </tex-math></inline-formula>\\n can be used for FYI, and \\n<inline-formula> <tex-math>$\\\\rho _{w}/{(}\\\\rho _{w}-\\\\rho _{i}{)} = 7.20$ </tex-math></inline-formula>\\n and \\n<inline-formula> <tex-math>$\\\\rho _{s}/(\\\\rho _{w}-\\\\rho _{i}) =2.30$ </tex-math></inline-formula>\\n can be used for multiyear ice (MYI) region. Because \\n<inline-formula> <tex-math>$\\\\rho _{w}$ </tex-math></inline-formula>\\n is relatively stable and easy to observe, the proposed method also can be used to invert sea ice density \\n<inline-formula> <tex-math>$\\\\rho _{i}$ </tex-math></inline-formula>\\n and snow layer density \\n<inline-formula> <tex-math>$\\\\rho _{s}$ </tex-math></inline-formula>\\n from estimated DRs.\",\"PeriodicalId\":100624,\"journal\":{\"name\":\"IEEE Journal on Miniaturization for Air and Space Systems\",\"volume\":\"3 4\",\"pages\":\"276-283\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal on Miniaturization for Air and Space Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/9913636/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal on Miniaturization for Air and Space Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/9913636/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact and Correction of Sea Ice, Snow, and Seawater Density on Arctic Sea-Ice Thickness Retrieval From Ku-Band SAR Altimeters
Satellite radar altimeters (RAs) can measure sea-ice thickness on a large scale. According to the assumption of isostatic equilibrium, knowing the density of water, snow, and ice is crucial to estimating the thickness of sea ice from altimeters. Therefore, using inaccurate density values to estimate sea-ice thickness from RAs will lead to unreliable results. This article proposes a method to evaluate and correct density (
$\rho $
) ratios,
$\rho _{w}/{(}\rho _{w}-\rho _{i}{)}$
and
$\rho _{s}/{(}\rho _{w}-\rho _{i}{)}$
, where subscripts
${i}$
,
${w}$
, and
${s}$
represent sea ice, water, and snow, respectively, by using sea ice freeboard of CryoSat-2 (CS-2) and Sentinel-3A (S3), Operational IceBridge ice thickness, and modified climatological snow depth data. In addition to comparing the calculated density ratio (DR) with the DR commonly used in the previous studies, we also investigate how input density parameters affect the accuracy of freeboard-to-thickness conversion of the satellite RA. Our results indicate that the
$\rho _{i}$
of first-year ice (FYI) region used by the ESA sea ice climate change initiative product (ESA SICCI) is generally large, whereas
$\rho _{s}$
is significantly small. For a more accurate inversion of Arctic sea-ice thickness,
$\rho _{w}/{(}\rho _{w}-\rho _{i}{)} = 9.01$
and
$\rho _{s}/{(}\rho _{w}-\rho _{i}{)} = 3.52$
can be used for FYI, and
$\rho _{w}/{(}\rho _{w}-\rho _{i}{)} = 7.20$
and
$\rho _{s}/(\rho _{w}-\rho _{i}) =2.30$
can be used for multiyear ice (MYI) region. Because
$\rho _{w}$
is relatively stable and easy to observe, the proposed method also can be used to invert sea ice density
$\rho _{i}$
and snow layer density
$\rho _{s}$
from estimated DRs.