北极海冰预测结果-海冰密集度(2020 年7月-9 月)

在气候系统模式 FGOALS 中，初始化处理欧洲航天局（ESA）CryoSat-2 和 Soil Moisture and Ocean Salinity（SMOS）卫星遥感反演的海冰密集度数据。确定 CrySat-2（2010 年-至今）和 SMOS（2010年-至今）的观测误差，然后对这些密集度进行统一化处理，之后将海冰密集度数据及不确定性插值到模式网格上。同时采用美国 Unified Sea Ice Thickness Climate Data Record 收集整理的北极海冰密集度数据和美国宇航局（NASA）IceBridge 观测的北极海冰干舷高和海冰密集度及海冰质量平衡浮标观测的北极海冰密集度数据对气候系统模式后报试验结果评估得到的数据。

For the climate system model FGOALS, we conduct initialization and processing of sea ice concentration data retrieved via remote sensing from the European Space Agency (ESA) CryoSat-2 and Soil Moisture and Ocean Salinity (SMOS) satellites. We first determine the observation errors of CryoSat-2 (2010–present) and SMOS (2010–present), then homogenize these sea ice concentration datasets, and subsequently interpolate the sea ice concentration data and their associated uncertainties onto the model grid. Meanwhile, we use three datasets to evaluate the hindcast results of the climate system model: the Arctic sea ice concentration data compiled in the U.S. Unified Sea Ice Thickness Climate Data Record, the Arctic sea ice freeboard and sea ice concentration data observed by NASA IceBridge, and the Arctic sea ice concentration data obtained from sea ice mass balance buoy observations.

搜集汇总

背景与挑战

背景概述

该数据集提供了2020年7月至9月北极海冰密集度的预测结果，基于多源卫星遥感数据和气候系统模式FGOALS的模拟输出，数据格式为NetCDF，适用于北极海冰变化研究。