预测冰图像PRIIMA:方法和系统评价

P. Kountouris, L. Rabenstein, P. Cochrane, T. Krumpen, S. Hendricks
{"title":"预测冰图像PRIIMA:方法和系统评价","authors":"P. Kountouris, L. Rabenstein, P. Cochrane, T. Krumpen, S. Hendricks","doi":"10.4043/29127-MS","DOIUrl":null,"url":null,"abstract":"\n \n \n Today's ice information is already outdated the moment it is available, due to sea-ice drift. All Arctic stakeholders are in an urgent need for ice forecasts. Presently there is no high-resolution ice forecast product available on the market. PRIIMA is going to tackle this problem. PRIIMA is being developed in a 6 months kick-start project funded by the European Space Agency (ESA). It started on March 1, 2018.\n \n \n \n PRIIMA combines the lower resolution forecast information from operational sea-ice and weather models with an actual satellite image of the ice cover. It performs an image transformation from the recorded satellite image to a predicted image how it might look in 1-3 days. The process involves translation and rotation of ice features as well as scaling of the ice area. The concept is pragmatic in the sense that it establishes a helpful product developed in close collaboration with our test users from the field of cargo shipping, research ice breakers and expedition cruises.\n \n \n \n The prediction of sea-ice situations by image warping of near-real time radar images can be differentiated into scenarios with increasing complexity: Free drifting ice away from the coast with a relatively homogenous wind field can be addressed with a single global transformation operator (G1-method) or determined on the bases of the four corner coordinates of the image (L4C-method).Ice drift close to the coast or in presence of heterogeneous wind fields requires local transformation of subsets of the SAR image. A possible solution is to define a dense grid of control points which will constrain the movement of the inland pixels(LMP method).\n The quality of PRIIMA primarily depends on the accuracy of the available wind forecasts. In free drifting sea-ice a 24-hours forecast of the position of individual ice features was within 1 km to the true position.\n \n \n \n PRIIMA delivers ice forecasts with the resolution of a satellite radar image. It enables the operating ice manager a quick assessment of the upcoming ice situation.\n","PeriodicalId":422752,"journal":{"name":"Day 1 Mon, November 05, 2018","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicted Ice Images PRIIMA: Methodology and System Evaluation\",\"authors\":\"P. Kountouris, L. Rabenstein, P. Cochrane, T. Krumpen, S. Hendricks\",\"doi\":\"10.4043/29127-MS\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n Today's ice information is already outdated the moment it is available, due to sea-ice drift. All Arctic stakeholders are in an urgent need for ice forecasts. Presently there is no high-resolution ice forecast product available on the market. PRIIMA is going to tackle this problem. PRIIMA is being developed in a 6 months kick-start project funded by the European Space Agency (ESA). It started on March 1, 2018.\\n \\n \\n \\n PRIIMA combines the lower resolution forecast information from operational sea-ice and weather models with an actual satellite image of the ice cover. It performs an image transformation from the recorded satellite image to a predicted image how it might look in 1-3 days. The process involves translation and rotation of ice features as well as scaling of the ice area. The concept is pragmatic in the sense that it establishes a helpful product developed in close collaboration with our test users from the field of cargo shipping, research ice breakers and expedition cruises.\\n \\n \\n \\n The prediction of sea-ice situations by image warping of near-real time radar images can be differentiated into scenarios with increasing complexity: Free drifting ice away from the coast with a relatively homogenous wind field can be addressed with a single global transformation operator (G1-method) or determined on the bases of the four corner coordinates of the image (L4C-method).Ice drift close to the coast or in presence of heterogeneous wind fields requires local transformation of subsets of the SAR image. A possible solution is to define a dense grid of control points which will constrain the movement of the inland pixels(LMP method).\\n The quality of PRIIMA primarily depends on the accuracy of the available wind forecasts. In free drifting sea-ice a 24-hours forecast of the position of individual ice features was within 1 km to the true position.\\n \\n \\n \\n PRIIMA delivers ice forecasts with the resolution of a satellite radar image. It enables the operating ice manager a quick assessment of the upcoming ice situation.\\n\",\"PeriodicalId\":422752,\"journal\":{\"name\":\"Day 1 Mon, November 05, 2018\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 1 Mon, November 05, 2018\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4043/29127-MS\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Mon, November 05, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4043/29127-MS","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于海冰漂移,今天的海冰信息在可用的那一刻就已经过时了。北极的所有利益相关者都迫切需要冰预报。目前市场上还没有高分辨率的冰预报产品。PRIIMA将解决这个问题。PRIIMA是由欧洲航天局(ESA)资助的一个为期6个月的启动项目。它始于2018年3月1日。PRIIMA将来自海冰和天气模式的低分辨率预报信息与实际的冰盖卫星图像结合起来。它将记录的卫星图像转换为1-3天内的预测图像。这个过程包括冰的特征的平移和旋转,以及冰面积的缩放。这个概念是实用的,因为它建立了一个有用的产品,与我们的测试用户密切合作,从货运领域,研究破冰船和远征巡航。利用近实时雷达图像的图像变形预测海冰情况可以分为越来越复杂的场景:远离海岸的自由漂流冰具有相对均匀的风场,可以用单个全局变换算子(g1方法)来处理,也可以根据图像的四个角坐标来确定(l4c方法)。靠近海岸或存在非均匀风场的冰漂移需要对SAR图像子集进行局部变换。一种可能的解决方案是定义一个密集的控制点网格来约束内陆像素的移动(LMP方法)。PRIIMA的质量主要取决于现有风力预报的准确性。在自由漂流的海冰中,对单个冰特征位置的24小时预报与真实位置误差在1公里以内。PRIIMA以卫星雷达图像的分辨率提供冰预报。它使冰管理人员能够快速评估即将到来的冰况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicted Ice Images PRIIMA: Methodology and System Evaluation
Today's ice information is already outdated the moment it is available, due to sea-ice drift. All Arctic stakeholders are in an urgent need for ice forecasts. Presently there is no high-resolution ice forecast product available on the market. PRIIMA is going to tackle this problem. PRIIMA is being developed in a 6 months kick-start project funded by the European Space Agency (ESA). It started on March 1, 2018. PRIIMA combines the lower resolution forecast information from operational sea-ice and weather models with an actual satellite image of the ice cover. It performs an image transformation from the recorded satellite image to a predicted image how it might look in 1-3 days. The process involves translation and rotation of ice features as well as scaling of the ice area. The concept is pragmatic in the sense that it establishes a helpful product developed in close collaboration with our test users from the field of cargo shipping, research ice breakers and expedition cruises. The prediction of sea-ice situations by image warping of near-real time radar images can be differentiated into scenarios with increasing complexity: Free drifting ice away from the coast with a relatively homogenous wind field can be addressed with a single global transformation operator (G1-method) or determined on the bases of the four corner coordinates of the image (L4C-method).Ice drift close to the coast or in presence of heterogeneous wind fields requires local transformation of subsets of the SAR image. A possible solution is to define a dense grid of control points which will constrain the movement of the inland pixels(LMP method). The quality of PRIIMA primarily depends on the accuracy of the available wind forecasts. In free drifting sea-ice a 24-hours forecast of the position of individual ice features was within 1 km to the true position. PRIIMA delivers ice forecasts with the resolution of a satellite radar image. It enables the operating ice manager a quick assessment of the upcoming ice situation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信