{"title":"冰厚的简单模型计算,以补充卫星遥感的冰面积","authors":"E. Soosaar, L. Sipelgas, U. Raudsepp","doi":"10.1109/BALTIC.2010.5621637","DOIUrl":null,"url":null,"abstract":"Optical satellite remote sensing (MODIS and MERIS) enables to obtain ice coverage imagery during cloud free days. In the mid-latitudes cloud free days occur rather seldom during a single ice season. This reduces the value of optical satellite imagery products meant for operational purposes. In climate research, long time series of ice extent are relevant for providing information on the necessity of ice breaking services. Everyday ice breaking on shipping routes requires information about ice types and ice thickness. While the extent of ice and also some ice types are attainable from satellite remote sensing, a simple ice model can be used for the calculation of ice thickness in the case of fast ice. In this study satellite remote sensing is used for the calculation of ice extent and the identification of ice types in the Gulf of Riga. MODIS reflectance data with spatial resolution of 250 m were used for the analyses of ice cover extent in the period of 2000–2005. The winters of 2000/2001 and 2001/2002 were mild, the maximum ice extent was less than 2000 km2 and the ice season lasted from January till the end of March. The winter of 2002/2003 was quite severe and the Gulf of Riga was fully covered with ice (up to 16000 km2). Pa¨rnu Bay is the area where fast ice forms every year and ice breaking is performed to keep Pa¨rnu harbor operational. A simple combined ice model is therefore applied to Pa¨rnu Bay. Ice modeling is performed when normal and severe winter temperatures occur. The length of ice period is compared with the satellite data from MODIS and visual observations as well. Ice thickness in its turn is compared with the in situ measurements made during these winters. Air temperature, water temperature, wind speed, humidity and solar radiation are the data used in our model calculations. Modeling periods last from December 1 to April 30 in 2002/2003 and 2003/2004 (data from Pa¨rnu Sadam AS). A combined model is used to simulate ice thickness [5]. Initial ice formation and melting when water has access to ice surface is considered to take place both on the top and at the bottom of the existing ice layer. In numerical simulation we have used an equation based on heat fluxes between the atmosphere and the ocean. When fast ice has been formed, it is assumed that water does not have access to the surface of ice any more and ice formation takes place only at the bottom of the existing ice. And therefore an equation based on the difference between water and air temperature is used. Simulated ice thickness agrees well with direct measurements made during severe and normal winters. Simulated snow thickness has been overestimated in comparison with the measurements. The model does not take into account the snow carried away by winds and also the snow that has been compressed (the forming of the so-called snow ice).","PeriodicalId":287473,"journal":{"name":"2010 IEEE/OES Baltic International Symposium (BALTIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simple model calculations of the ice thickness for complementing satellite remote sensing of ice extent\",\"authors\":\"E. Soosaar, L. Sipelgas, U. Raudsepp\",\"doi\":\"10.1109/BALTIC.2010.5621637\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optical satellite remote sensing (MODIS and MERIS) enables to obtain ice coverage imagery during cloud free days. In the mid-latitudes cloud free days occur rather seldom during a single ice season. This reduces the value of optical satellite imagery products meant for operational purposes. In climate research, long time series of ice extent are relevant for providing information on the necessity of ice breaking services. Everyday ice breaking on shipping routes requires information about ice types and ice thickness. While the extent of ice and also some ice types are attainable from satellite remote sensing, a simple ice model can be used for the calculation of ice thickness in the case of fast ice. In this study satellite remote sensing is used for the calculation of ice extent and the identification of ice types in the Gulf of Riga. MODIS reflectance data with spatial resolution of 250 m were used for the analyses of ice cover extent in the period of 2000–2005. The winters of 2000/2001 and 2001/2002 were mild, the maximum ice extent was less than 2000 km2 and the ice season lasted from January till the end of March. The winter of 2002/2003 was quite severe and the Gulf of Riga was fully covered with ice (up to 16000 km2). Pa¨rnu Bay is the area where fast ice forms every year and ice breaking is performed to keep Pa¨rnu harbor operational. A simple combined ice model is therefore applied to Pa¨rnu Bay. Ice modeling is performed when normal and severe winter temperatures occur. The length of ice period is compared with the satellite data from MODIS and visual observations as well. Ice thickness in its turn is compared with the in situ measurements made during these winters. Air temperature, water temperature, wind speed, humidity and solar radiation are the data used in our model calculations. Modeling periods last from December 1 to April 30 in 2002/2003 and 2003/2004 (data from Pa¨rnu Sadam AS). A combined model is used to simulate ice thickness [5]. Initial ice formation and melting when water has access to ice surface is considered to take place both on the top and at the bottom of the existing ice layer. In numerical simulation we have used an equation based on heat fluxes between the atmosphere and the ocean. When fast ice has been formed, it is assumed that water does not have access to the surface of ice any more and ice formation takes place only at the bottom of the existing ice. And therefore an equation based on the difference between water and air temperature is used. Simulated ice thickness agrees well with direct measurements made during severe and normal winters. Simulated snow thickness has been overestimated in comparison with the measurements. 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引用次数: 1
摘要
光学卫星遥感(MODIS和MERIS)能够在无云的日子里获得冰覆盖的图像。在中纬度地区,在一个冰期无云的日子很少发生。这降低了用于业务目的的光学卫星图像产品的价值。在气候研究中,冰面积的长时间序列对提供破冰服务的必要性具有重要意义。每天在航线上破冰需要了解冰的种类和厚度。虽然可以从卫星遥感获得冰的范围和一些冰的类型,但在快速冰的情况下,可以使用一个简单的冰模型来计算冰的厚度。在本研究中,利用卫星遥感计算了里加湾的冰范围和冰类型的识别。利用空间分辨率为250 m的MODIS反射率数据对2000-2005年的冰盖覆盖范围进行了分析。2000/2001年和2001/2002年冬季气候温和,最大冰面积小于2000 km2,冰期为1 ~ 3月底。2002/2003年的冬天相当严寒,里加湾完全被冰覆盖(面积达16000平方公里)。帕恩奴湾是每年快速结冰的地方,为了保持帕恩奴港的运作,必须进行破冰。因此,一个简单的组合冰模型适用于帕诺尔湾。当正常和严寒的冬季温度发生时,执行冰模型。冰期长度与MODIS卫星资料和目视观测资料进行了比较。冰的厚度反过来又与这些冬季的实地测量结果进行比较。气温、水温、风速、湿度和太阳辐射是我们模型计算中使用的数据。2002/2003年和2003/2004年的模型周期为12月1日至4月30日(数据来自Pa¨rnu Sadam AS)。采用组合模型模拟冰厚[5]。当水进入冰表面时,最初的冰形成和融化被认为发生在现有冰层的顶部和底部。在数值模拟中,我们使用了一个基于大气和海洋之间热流的方程。当快速冰形成时,人们假定水不再能够接触到冰的表面,而冰的形成只发生在现有冰的底部。因此,一个基于水和空气温度之差的方程被使用。模拟的冰厚与在严寒和正常冬季进行的直接测量结果吻合得很好。与实际测量值相比,模拟雪厚被高估了。该模型没有考虑到被风带走的雪和被压缩的雪(所谓的雪冰的形成)。
Simple model calculations of the ice thickness for complementing satellite remote sensing of ice extent
Optical satellite remote sensing (MODIS and MERIS) enables to obtain ice coverage imagery during cloud free days. In the mid-latitudes cloud free days occur rather seldom during a single ice season. This reduces the value of optical satellite imagery products meant for operational purposes. In climate research, long time series of ice extent are relevant for providing information on the necessity of ice breaking services. Everyday ice breaking on shipping routes requires information about ice types and ice thickness. While the extent of ice and also some ice types are attainable from satellite remote sensing, a simple ice model can be used for the calculation of ice thickness in the case of fast ice. In this study satellite remote sensing is used for the calculation of ice extent and the identification of ice types in the Gulf of Riga. MODIS reflectance data with spatial resolution of 250 m were used for the analyses of ice cover extent in the period of 2000–2005. The winters of 2000/2001 and 2001/2002 were mild, the maximum ice extent was less than 2000 km2 and the ice season lasted from January till the end of March. The winter of 2002/2003 was quite severe and the Gulf of Riga was fully covered with ice (up to 16000 km2). Pa¨rnu Bay is the area where fast ice forms every year and ice breaking is performed to keep Pa¨rnu harbor operational. A simple combined ice model is therefore applied to Pa¨rnu Bay. Ice modeling is performed when normal and severe winter temperatures occur. The length of ice period is compared with the satellite data from MODIS and visual observations as well. Ice thickness in its turn is compared with the in situ measurements made during these winters. Air temperature, water temperature, wind speed, humidity and solar radiation are the data used in our model calculations. Modeling periods last from December 1 to April 30 in 2002/2003 and 2003/2004 (data from Pa¨rnu Sadam AS). A combined model is used to simulate ice thickness [5]. Initial ice formation and melting when water has access to ice surface is considered to take place both on the top and at the bottom of the existing ice layer. In numerical simulation we have used an equation based on heat fluxes between the atmosphere and the ocean. When fast ice has been formed, it is assumed that water does not have access to the surface of ice any more and ice formation takes place only at the bottom of the existing ice. And therefore an equation based on the difference between water and air temperature is used. Simulated ice thickness agrees well with direct measurements made during severe and normal winters. Simulated snow thickness has been overestimated in comparison with the measurements. The model does not take into account the snow carried away by winds and also the snow that has been compressed (the forming of the so-called snow ice).