The Simulation of L-Band Microwave Emission of Frozen Soil during the Thawing Period with the Community Microwave Emission Model (CMEM)

遥感学报 Pub Date : 2022-10-10 DOI:10.34133/2022/9754341
S. Lv, C. Simmer, Yijian Zeng, J. Wen, Z. Su
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引用次数: 4

Abstract

One-third of the Earth’s land surface experiences seasonal freezing and thawing. Freezing-thawing transitions strongly impact land-atmosphere interactions and, thus, also the lower atmosphere above such areas. Observations of two L-band satellites, the Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity (SMOS) missions, provide flags that characterize surfaces as either frozen or not frozen. However, both state transitions—freezing and thawing (FT)—are continuous and complex processes in space and time. Especially in the L-band, which has penetration depths of up to tens of centimeters, the brightness temperature (TB) may be generated by a vertically-mixed profile of different FT states, which cannot be described by the current version of the Community Microwave Emission Model (CMEM). To model such complex state transitions, we extended CMEM in Fresnel mode with an FT component by allowing for (1) a varying fraction of an open water surface on top of the soil, and (2) by implementing a temporal FT phase transition delay based on the difference between the soil surface temperature and the soil temperature at 2.5 cm depth. The extended CMEM (CMEM-FT) can capture the TB progression from a completely frozen to a thawed state of the contributing layer as observed by the L-band microwave radiometer ELBARA-III installed at the Maqu station at the northeastern margin of the Tibetan Plateau. The extended model improves the correlation between the observations and CMEM simulations from 0.53/0.45 to 0.85/0.85 and its root-mean-square-error from 32/25 K to 20/15 K for H/V-polarization during thawing conditions. Yet, CMEM-FT does still not simulate the freezing transition sufficiently.
基于社区微波发射模型(CMEM)的冻土融化期L波段微波发射模拟
地球三分之一的陆地表面经历季节性的冰冻和解冻。冻融转换强烈影响陆地与大气的相互作用,因此也影响这些地区上空的低层大气。对两颗L波段卫星的观测,即土壤湿度主动-被动(SMAP)和土壤湿度和海洋盐度(SMOS)任务,提供了表征表面冻结或未冻结的标志。然而,两种状态转换——冷冻和解冻(FT)——在空间和时间上都是连续而复杂的过程。特别是在穿透深度高达数十厘米的L波段,亮度温度(TB)可能由不同FT状态的垂直混合分布产生,而当前版本的社区微波发射模型(CMEM)无法描述这一点。为了对这种复杂的状态转换进行建模,我们在菲涅耳模式下扩展了具有FT分量的CMEM,方法是:(1)考虑土壤顶部开放水面的变化部分,以及(2)基于土壤表面温度和2.5时土壤温度之间的差实现时间FT相变延迟 cm深。扩展CMEM(CMEM-FT)可以捕捉青藏高原东北缘玛曲站安装的L波段微波辐射计ELBARA-III观测到的贡献层从完全冻结到解冻的TB进展。扩展模型将观测值和CMEM模拟之间的相关性从0.53/0.45提高到0.85/0.85,其均方根误差从32/25提高 K至20/15 K表示解冻条件下的H/V极化。然而,CMEM-FT仍然没有充分模拟冻结转变。
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来源期刊
遥感学报
遥感学报 Social Sciences-Geography, Planning and Development
CiteScore
3.60
自引率
0.00%
发文量
3200
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