V. Kirillov, O. Lovtskaya, O. S. Devyataev, E. V. Afanasyeva, A. Sinitsky, L. Khvorova, D. S. Fokin, A. Semchukov, M. Koveshnikov, N. M. Kovalevskaya
{"title":"基于CryoSat-2和SMOS数据调查喀拉海冰发育的可能性","authors":"V. Kirillov, O. Lovtskaya, O. S. Devyataev, E. V. Afanasyeva, A. Sinitsky, L. Khvorova, D. S. Fokin, A. Semchukov, M. Koveshnikov, N. M. Kovalevskaya","doi":"10.30758/0555-2648-2023-69-1-10-28","DOIUrl":null,"url":null,"abstract":"Sea ice age is a proxy for thickness, which can be obtained through the use of satellite data. The paper presents the results of comparison of CryoSat-2, SMOS and CryoSat-2 & SMOS fusion data with detailed ice charts (October–April, 2010–2018). The AARI ice charts were chosen as references for comparison because they integrate knowledge and data from various sources, including expert analysis of operational satellite information, in-situ measurements at coastal stations, data on ice conditions from ships of the Northern Sea Route (NSR). The division of satellite data elements into classes (stages of development) was performed according to the maximum likelihood classifier. The recognition result for each stage of development was evaluated by means of three criteria, in accordance with the class value of Mode, Median and Mean. The effectiveness of satellite data in determining the Kara Sea ice thickness varies depending on the sea ice stage of development and winter season time. Four stages of development (old ice, thick first-year ice, medium first-year ice, nilas) showed the best recognition results. Although the CryoSat-2 mission was designed primarily to detect climate-dependent variations of the thickness of floating ice, in terms of statistical recognition of the Kara Sea ice stages of development, CryoSat-2 data can also be used to retrieve the thickness of thick first-year ice (January–April) and the thickness of medium first-year ice (January–February). For the remaining stages within the study area, the altimetry method shows a significant uncertainty, which can be resolved for nilas, thin first-year ice and medium first-year ice (March) by using SMOS data and CryoSat-2 & SMOS fusion data. In general, altimetric data, radiometric data and combination thereof can be applied in the complex analysis of all available information to ensure hydrometeorological and navigation support. Also, it is proposed to use the data of the ICESat-2 laser altimeter and to make a general comparison with in-situ measurements.","PeriodicalId":8391,"journal":{"name":"Arctic, Antarctic, and Alpine Research","volume":"1 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data\",\"authors\":\"V. Kirillov, O. Lovtskaya, O. S. Devyataev, E. V. Afanasyeva, A. Sinitsky, L. Khvorova, D. S. Fokin, A. Semchukov, M. Koveshnikov, N. M. Kovalevskaya\",\"doi\":\"10.30758/0555-2648-2023-69-1-10-28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sea ice age is a proxy for thickness, which can be obtained through the use of satellite data. The paper presents the results of comparison of CryoSat-2, SMOS and CryoSat-2 & SMOS fusion data with detailed ice charts (October–April, 2010–2018). The AARI ice charts were chosen as references for comparison because they integrate knowledge and data from various sources, including expert analysis of operational satellite information, in-situ measurements at coastal stations, data on ice conditions from ships of the Northern Sea Route (NSR). The division of satellite data elements into classes (stages of development) was performed according to the maximum likelihood classifier. The recognition result for each stage of development was evaluated by means of three criteria, in accordance with the class value of Mode, Median and Mean. The effectiveness of satellite data in determining the Kara Sea ice thickness varies depending on the sea ice stage of development and winter season time. Four stages of development (old ice, thick first-year ice, medium first-year ice, nilas) showed the best recognition results. Although the CryoSat-2 mission was designed primarily to detect climate-dependent variations of the thickness of floating ice, in terms of statistical recognition of the Kara Sea ice stages of development, CryoSat-2 data can also be used to retrieve the thickness of thick first-year ice (January–April) and the thickness of medium first-year ice (January–February). For the remaining stages within the study area, the altimetry method shows a significant uncertainty, which can be resolved for nilas, thin first-year ice and medium first-year ice (March) by using SMOS data and CryoSat-2 & SMOS fusion data. In general, altimetric data, radiometric data and combination thereof can be applied in the complex analysis of all available information to ensure hydrometeorological and navigation support. 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Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data
Sea ice age is a proxy for thickness, which can be obtained through the use of satellite data. The paper presents the results of comparison of CryoSat-2, SMOS and CryoSat-2 & SMOS fusion data with detailed ice charts (October–April, 2010–2018). The AARI ice charts were chosen as references for comparison because they integrate knowledge and data from various sources, including expert analysis of operational satellite information, in-situ measurements at coastal stations, data on ice conditions from ships of the Northern Sea Route (NSR). The division of satellite data elements into classes (stages of development) was performed according to the maximum likelihood classifier. The recognition result for each stage of development was evaluated by means of three criteria, in accordance with the class value of Mode, Median and Mean. The effectiveness of satellite data in determining the Kara Sea ice thickness varies depending on the sea ice stage of development and winter season time. Four stages of development (old ice, thick first-year ice, medium first-year ice, nilas) showed the best recognition results. Although the CryoSat-2 mission was designed primarily to detect climate-dependent variations of the thickness of floating ice, in terms of statistical recognition of the Kara Sea ice stages of development, CryoSat-2 data can also be used to retrieve the thickness of thick first-year ice (January–April) and the thickness of medium first-year ice (January–February). For the remaining stages within the study area, the altimetry method shows a significant uncertainty, which can be resolved for nilas, thin first-year ice and medium first-year ice (March) by using SMOS data and CryoSat-2 & SMOS fusion data. In general, altimetric data, radiometric data and combination thereof can be applied in the complex analysis of all available information to ensure hydrometeorological and navigation support. Also, it is proposed to use the data of the ICESat-2 laser altimeter and to make a general comparison with in-situ measurements.
期刊介绍:
The mission of Arctic, Antarctic, and Alpine Research (AAAR) is to advance understanding of cold region environments by publishing original scientific research from past, present and future high-latitude and mountain regions. Rapid environmental change occurring in cold regions today highlights the global importance of this research. AAAR publishes peer-reviewed interdisciplinary papers including original research papers, short communications and review articles. Many of these papers synthesize a variety of disciplines including ecology, climatology, geomorphology, glaciology, hydrology, paleoceanography, biogeochemistry, and social science. Papers may be uni- or multidisciplinary but should have interdisciplinary appeal. Special thematic issues and proceedings are encouraged. The journal receives contributions from a diverse group of international authors from academia, government agencies, and land managers. In addition the journal publishes opinion pieces, book reviews and in memoria. AAAR is associated with the Institute of Arctic and Alpine Research (INSTAAR) the oldest active research institute at the University of Colorado Boulder.