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1982-2023年AVHRR热红外卫星传感器的北极和南极表面温度

IF 11.4 1区地球科学 Q1 ENVIRONMENTAL SCIENCES

Remote Sensing of Environment Pub Date : 2025-06-11 DOI:10.1016/j.rse.2025.114816

Wiebke Margitta Kolbe , Gorm Dybkjær , Rasmus T. Tonboe , Steinar Eastwood , Pia Nielsen-Englyst , Jacob Høyer , André Toft Jensen , Magnus Barfod Suhr

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引用次数: 0

摘要

利用热红外卫星辐射计（AASTI）获取的42年北极和南极表面温度数据，作为哥白尼气候变化服务冰表面温度记录v1.1数据集（C3S IST）。它涵盖了1982年至2023年期间的雪、冰和海洋表面，平均和最高日最低温度分别为南北50度。C3S IST作为三级（L3）数据集在极地0.25°纬度和经度网格中提供。它由两部分组成：(1)C3S - IST气候数据记录（ISTCDR v1.1），涵盖周期1。1982年1月至30日。(2) C3S IST临时话单1.1版（ICDR v1.1），涵盖1。2019年7月至31日。2023年12月。地表温度（STs）是根据卫星热红外亮度温度（TB）测量数据计算的，这些数据来自全球区域覆盖-高级超高分辨率辐射计（GAC - AVHRR）数据，创建了一个仅基于单一传感器类型的综合数据集。基础的AASTI算法是专门针对海冰、边缘冰带、陆地冰和高纬度开放水域进行调整的算法的组合。此外，利用模拟的大气顶部（TOA） TBs和ERA-Interim再分析地表和大气数据，对每个AVHRR仪器的每个算法系数进行了专门的调整。采用社区辐射转移模型RTTOV v12.3计算模拟TOA TB。为每个数据点计算空间和时间变化的不确定性。C3S IST的地表温度根据不同的原位观测类型进行了验证，其中与飞行活动和冰盖站数据的辐射温度比较，北半球（NH）的平均差异较小，分别为0.20°C和-1.84°C，而与气象站的空气温度相比，后者通常高出1-3°C。对海冰和冰盖的表面温度、气候学和趋势进行了计算，显示出北半球表面温度趋势存在很大的区域差异。对于整个数据集，北半球海冰的平均趋势为+1.11°C/ 10年，南半球（SH）海冰的平均趋势为+0.16°C/ 10年，格陵兰冰盖的平均趋势为+0.38°C/ 10年，南极冰盖的平均趋势为-0.13°C/ 10年。正趋势在夏季通常较小，在冬季较大，例如在巴伦支海，冬季趋势超过+0.3°C/年。在一些地区，如白令海峡的冰缘，观测到负温度趋势。南极海冰的变化趋势一般较小，在统计上也不如北半球显著。冰盖表面的变化趋势也显示出类似的模式，格陵兰冰盖有正趋势，这在沿海地区是最大和最显著的。南极冰盖的趋势多种多样，除南极洲东部中部高海拔地区的负温度趋势超过-0.5°C/年外，大部分地区的趋势在统计上不显著。

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Arctic and Antarctic Surface Temperatures from AVHRR thermal Infrared satellite sensors 1982–2023

42-years of Arctic and Antarctic Surface Temperatures from thermal Infrared satellite radiometers (AASTI) are presented as the Copernicus Climate Change Service Ice surface temperature record v1.1 dataset (C3S IST). It covers snow, ice and ocean surfaces with mean and max–min daily temperatures poleward of 50 degrees North and South, for the period 1982–2023. The C3S IST is provided as a Level 3 (L3) dataset in a polar 0.25 ° latitude and longitude grid. It consists of two parts: (1) the C3S IST climate data record (ISTCDR v1.1), covering the period 1. January 1982 to 30. June 2019, and (2) the C3S IST Interim CDR version 1.1 (ICDR v1.1) covering 1. July 2019 to 31. December 2023. The surface temperatures (STs) are calculated from satellite thermal infrared Brightness Temperature (

T B

) measurements from the Global Area Coverage – Advanced Very High Resolution Radiometer (GAC - AVHRR) data, creating a comprehensive data set based solely on a single sensor type. The underlying AASTI algorithm is a combination of algorithms specifically tuned for sea ice, marginal ice zone, land ice and high latitude open water. In addition, each of the algorithm coefficients are tuned specifically for each of the AVHRR instruments, using simulated Top of the atmosphere (TOA)

T B

s and ERA-Interim reanalysis surface and atmosphere data. Simulated TOA

T B

’s are computed using the community radiative transfer model, RTTOV v12.3. Spatially and temporally varying uncertainties are computed for each data-point. The C3S IST surface temperatures were validated against different in situ observation types, where comparison against radiometric temperatures from flight campaigns and ice sheet station data resulted in smaller mean differences of 0.20

°

C and -1.84

°

C in the Northern Hemisphere (NH) than for validations against met station air temperatures, which were usually 1–3

°

C higher. Surface temperature climatology and trends have been computed for sea ice and ice sheets, showing large regional differences in surface temperature trends within the NH. For the entire dataset, the average trend is +1.11

°

C/decade for the NH sea ice, +0.16

°

C/decade for the Southern Hemisphere (SH) sea ice, +0.38

°

C/decade for the Greenland ice sheet and -0.13

°

C/decade for the Antarctic ice sheet. The positive trends are typically small during summer and larger during winter, e.g. in the Barents Sea, where trends exceed +0.3

°

C/year in winter. Negative temperature trends are observed in some regions such as the Bering Strait’s ice edge. For Antarctic sea ice, the trends are generally smaller and statistically less significant than those in the NH. The trends of the ice sheet surface show a similar pattern, where the Greenland Ice Sheet has positive trends, which both are largest and most significant in the coastal areas. The Antarctic Ice Sheet has diverse trends and large areas have statistically non-significant trends, except for the negative temperature trend in the central, high altitude part of east Antarctica exceeding -0.5

°

C/year.

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来源期刊

Remote Sensing of Environment 环境科学-成像科学与照相技术

CiteScore

25.10

自引率

8.90%

发文量

455

审稿时长

53 days

期刊介绍： Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.