A year-round satellite sea-ice thickness record from CryoSat-2

海冰 北极冰盖 北极的 气候学 海冰厚度 冰层 雷达高度计 环境科学 地质学 海洋学 高度计 遥感
作者
Jack Landy,Geoffrey Dawson,Michel Tsamados,Mitchell Bushuk,Julienne Strœve,Stephen Howell,Thomas Krumpen,David G. Babb,Alexander S. Komarov,Harry Heorton,Hans Jakob Belter,Yevgeny Aksenov
出处
期刊:Nature [Nature Portfolio]
卷期号:609 (7927): 517-522 被引量:96
标识
DOI:10.1038/s41586-022-05058-5
摘要

Arctic sea ice is diminishing with climate warming1 at a rate unmatched for at least 1,000 years2. As the receding ice pack raises commercial interest in the Arctic3, it has become more variable and mobile4, which increases safety risks to maritime users5. Satellite observations of sea-ice thickness are currently unavailable during the crucial melt period from May to September, when they would be most valuable for applications such as seasonal forecasting6, owing to major challenges in the processing of altimetry data7. Here we use deep learning and numerical simulations of the CryoSat-2 radar altimeter response to overcome these challenges and generate a pan-Arctic sea-ice thickness dataset for the Arctic melt period. CryoSat-2 observations capture the spatial and the temporal patterns of ice melting rates recorded by independent sensors and match the time series of sea-ice volume modelled by the Pan-Arctic Ice Ocean Modelling and Assimilation System reanalysis8. Between 2011 and 2020, Arctic sea-ice thickness was 1.87 ± 0.10 m at the start of the melting season in May and 0.82 ± 0.11 m by the end of the melting season in August. Our year-round sea-ice thickness record unlocks opportunities for understanding Arctic climate feedbacks on different timescales. For instance, sea-ice volume observations from the early summer may extend the lead time of skilful August-October sea-ice forecasts by several months, at the peak of the Arctic shipping season.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.2应助zky采纳,获得10
1秒前
幸运小狗完成签到,获得积分10
2秒前
理塘博士发布了新的文献求助10
5秒前
Marvin完成签到,获得积分10
5秒前
6秒前
sama完成签到,获得积分10
7秒前
9秒前
Jieh完成签到,获得积分10
10秒前
SciGPT应助cen采纳,获得10
10秒前
11秒前
kimlian完成签到,获得积分10
11秒前
华仔应助hualuo13采纳,获得10
12秒前
12秒前
bkagyin应助平常丝采纳,获得10
12秒前
Nature发布了新的文献求助10
15秒前
16秒前
Jack发布了新的文献求助10
16秒前
古夫发布了新的文献求助10
18秒前
KK_ad完成签到,获得积分10
19秒前
cen完成签到,获得积分20
19秒前
hh完成签到 ,获得积分10
21秒前
23秒前
sciexplorer完成签到,获得积分10
23秒前
传奇3应助麦地娜采纳,获得10
24秒前
香香完成签到,获得积分10
25秒前
26秒前
26秒前
大模型应助古夫采纳,获得10
27秒前
hualuo13发布了新的文献求助10
28秒前
我是老大应助bszh采纳,获得30
29秒前
30秒前
Jack完成签到,获得积分10
30秒前
30秒前
开心诗云完成签到 ,获得积分10
32秒前
CipherSage应助hualuo13采纳,获得10
33秒前
有机化学完成签到,获得积分10
34秒前
英俊的铭应助妮妮采纳,获得10
34秒前
111完成签到,获得积分10
35秒前
张晓昊发布了新的文献求助10
35秒前
XL完成签到,获得积分10
36秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6501015
求助须知:如何正确求助?哪些是违规求助? 8296023
关于积分的说明 17705255
捐赠科研通 5597992
什么是DOI,文献DOI怎么找? 2918508
邀请新用户注册赠送积分活动 1895724
关于科研通互助平台的介绍 1756655