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首页> 外文期刊>The Cryosphere >Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems
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Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems

机译:通过将高水平分辨率海冰浓度数据吸收到美国海军的冰预测系统中,改善北极海冰预测

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This study presents the improvement in ice edge error within the US Navy'soperational sea ice forecast systems gained by assimilating high horizontalresolution satellite-derived ice concentration products. Since the late1980's, the ice forecast systems have assimilated near real-time sea iceconcentration derived from the Defense Meteorological Satellite Program(DMSP) Special Sensor Microwave/Imager (SSMI and then SSMIS). The resolutionof the satellite-derived product was approximately the same as the previousoperational ice forecast system (25 km). As the sea ice forecast modelresolution increased over time, the need for higher horizontal resolutionobservational data grew. In 2013, a new Navy sea ice forecast system (ArcticCap Nowcast/Forecast System – ACNFS) went into operations with a horizontalresolution of ~ 3.5 km at the North Pole. A method of blendingice concentration observations from the Advanced Microwave ScanningRadiometer (AMSR2) along with a sea ice mask produced by the National IceCenter (NIC) has been developed, resulting in an ice concentration productwith very high spatial resolution. In this study, ACNFS was initialized withthis newly developed high resolution blended ice concentration product. Thedaily ice edge locations from model hindcast simulations were comparedagainst independent observed ice edge locations. ACNFS initialized using thehigh resolution blended ice concentration data product decreased predictedice edge location error compared to the operational system that onlyassimilated SSMIS data. A second evaluation assimilating the new blended seaice concentration product into the pre-operational Navy Global OceanForecast System 3.1 also showed a substantial improvement in ice edgelocation over a system using the SSMIS sea ice concentration product alone.This paper describes the technique used to create the blended sea iceconcentration product and the significant improvements in ice edgeforecasting in both of the Navy's sea ice forecasting systems.
机译:本研究提出了通过吸收高横向级卫星衍生的冰浓度产物来获得的美国海军的海洋冰预报系统内的冰边误差的改善。自1980年代末期以来,冰预测系统已经在远离防御气象卫星程序(DMSP)特殊传感器微波/成像仪(SSMI和SSMIS)的实时海洋融合附近的近实时海洋融合。卫星衍生的产品的分辨率与Previousing Opional Ice预测系统(25公里)大致相同。随着SEA冰预测MODELSRESSOURT随着时间的推移而增加,需要更高的水平分析值数据的需求。 2013年,新的海军海洋冰预测系统(Arcticcap Nowcast / Precest System - ACNFS)进入了北极〜3.5公里的横向研究。已经开发了一种从先进的微波扫描仪(AMSR2)的浓缩观察的方法,以及由国家冰文仪(NIC)产生的海冰掩模,导致冰浓度产品非常高的空间分辨率。在这项研究中,随着新开发的高分辨率混合冰浓度产品,ACNFS初始化。从模型Hindcast模拟的冰缘位置与独立观察到的冰缘位置比较。与唯一逻辑SMIS数据的操作系统相比,ACNFS使用高分辨率混合冰浓度数据产品减少了预测边缘位置误差。将新的混合的海地浓度产品与单独使用SSMIS海冰浓度产品的系统相比,将新的混合海地浓度产物同化到运营前的海军全球Oceanforecast系统3.1也显示出在系统上的冰EdgeLocation大幅提高。本文描述了用于创造混合的技术海洋冰箱产品和海军海冰预测系统两种冰封装的显着改进。

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