An improved radiative transfer inversion of physical temperatures in Antarctic ice sheet using SMOS observations

IF 3.8 Q2 ENVIRONMENTAL SCIENCES

Remote Sensing Applications-Society and Environment Pub Date : 2025-01-01 DOI:10.1016/j.rsase.2025.101487

Yi Zhou , Yongjiu Feng , Yuze Cao , Shurui Chen , Zhenkun Lei , Mengrong Xi , Jingbo Sun , Yuhao Wang , Tong Hao , Xiaohua Tong

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引用次数: 0

Abstract

The internal temperature plays a pivotal role in dictating the dynamics and thermal processes of the Antarctic ice sheet. Low-frequency microwave remote sensing methods show promise for effectively gauging the ice sheet's deep glaciological properties. Our study leverages brightness temperature data at L-band (1.4 GHz) from the Soil Moisture and Ocean Salinity (SMOS) satellite, integrating it with glaciological thermodynamic and radiative transfer models to infer the ice sheet's internal temperature. We fine-tune the geothermal heat flux and snow accumulation rate parameters using the Generalized Simulated Annealing (GSA) algorithm. Our findings reveal that this methodology, compared to estimations grounded on prior knowledge, diminishes the Root Mean Square Error (RMSE) for brightness temperature inversion by roughly 3 K. Further, the RMSE for the physically inverted temperature profile, when benchmarked against ice core drilling data from Dome C and Dome Fuji, stands at 1.55 K and 1.36 K, respectively. This approach narrows the uncertainty in assessing the Antarctic ice sheet's temperature profile, particularly within the upper 2000 m. Accurately determined physical temperatures within the ice sheet enhance our comprehension of its intricate thermal structure. We anticipate that these insights should provide valuable scientific input for addressing concerns related to the ice sheet's mass balance and evolutionary processes.

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利用SMOS观测改进的南极冰盖物理温度的辐射传输反演

内部温度在决定南极冰盖的动力学和热过程中起着关键作用。低频微波遥感方法有望有效测量冰盖的深层冰川学特性。我们的研究利用来自土壤水分和海洋盐度（SMOS）卫星的l波段（1.4 GHz）亮度温度数据，将其与冰川热力学和辐射传输模型相结合，推断冰盖的内部温度。利用广义模拟退火（GSA）算法对地热热通量和积雪率参数进行了微调。我们的研究结果表明，与基于先验知识的估计相比，这种方法将亮度温度反演的均方根误差（RMSE）减少了大约3 K。此外，当以Dome C和Dome Fuji的冰芯钻井数据为基准时，物理反转温度剖面的RMSE分别为1.55 K和1.36 K。这种方法缩小了评估南极冰盖温度分布的不确定性，特别是在2000米以上。精确测定冰盖内的物理温度有助于我们理解其复杂的热结构。我们预计，这些见解将为解决与冰盖质量平衡和进化过程有关的问题提供有价值的科学投入。

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来源期刊

Remote Sensing Applications-Society and Environment Multiple-

CiteScore

8.00

自引率

8.50%

发文量

204

审稿时长

65 days

期刊介绍： The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems