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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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