Representing Fine-Scale Topographic Effects on Surface Radiation Balance in Hyper-Resolution Land Surface Models

IF 4.6 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Dalei Hao, Gautam Bisht, Lingcheng Li, L. Ruby Leung
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Abstract

Land surface models are increasingly used to simulate land surface processes at hyper-spatial resolutions (e.g., ∼1 km). As model resolution increases, grid-scale topographic effects on surface radiation fluxes and their interactions between adjacent grids become more pronounced. However, current land surface models routinely neglect the fine-scale topographic effects on surface radiation balance. This study developed physically-based and computationally-efficient parameterizations (fineTOP) that explicitly resolve fine-scale topographic effects on downward shortwave and longwave radiation as well as land surface radiative properties. The newly developed parameterizations were implemented and tested in the Energy Exascale Earth System Model (E3SM) Land Model (ELM). Multi-decadal km-resolution ELM simulations over the California Sierra Nevada show that fine-scale topography significantly impacts the surface energy balance and snow processes across seasons. Slope determines the magnitude of topographic effects, while aspect controls their sign. For slopes larger than 30°, topography-induced change in annual surface temperature can be as large as 3.3 K. Regionally, the mean value and standard deviation of topography-induced changes in annual surface temperature are −0.22 ± 0.38 K and +0.25 ± 0.37 K over north-facing and south-facing slopes, respectively. Topography-induced changes in surface radiative properties account for 3.5% ± 13.8% of total topographic effects on annual net radiation. With fineTOP, ELM captures the aspect-dependence of snow cover fraction, snow water equivalent, and land surface temperature found in MODIS satellite observations and a snow reanalysis data set, while the default ELM fails to capture this phenomenon. The enhanced capability to represent fine-scale topographic effects on surface radiation balance can be used to advance understanding of the role of fine-scale topography in land surface processes and land-atmosphere interactions over mountainous regions.

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高分辨率地表模式中地表辐射平衡的精细尺度地形效应
陆地表面模式越来越多地用于模拟超空间分辨率(例如,~ 1公里)的陆地表面过程。随着模式分辨率的提高,网格尺度地形对地表辐射通量的影响及其在相邻网格之间的相互作用变得更加明显。然而,目前的地表模式通常忽略了精细尺度地形对地表辐射平衡的影响。本研究开发了基于物理和计算效率的参数化(fineTOP),明确地解决了精细尺度地形对向下短波和长波辐射以及地表辐射特性的影响。新开发的参数化在Energy Exascale地球系统模型(E3SM)陆地模型(ELM)中进行了实现和测试。加州内华达山脉的多年代际千米分辨率ELM模拟表明,细尺度地形显著影响了地表能量平衡和跨季节的雪过程。坡度决定地形效应的大小,坡向控制地形效应的标志。对于大于30°的坡度,地形引起的年地表温度变化可达3.3 K。从区域上看,地形引起的年地表温度变化在北坡和南坡的平均值和标准差分别为- 0.22±0.38 K和+0.25±0.37 K。地形引起的地表辐射特性变化占地形对年净辐射总影响的3.5%±13.8%。在fineTOP中,ELM捕获了MODIS卫星观测和积雪再分析数据集中的积雪覆盖率、雪水当量和地表温度的视向依赖性,而默认ELM无法捕获这一现象。精细尺度地形对地表辐射平衡影响的增强表征能力可用于促进对精细尺度地形在山地地表过程和陆-气相互作用中的作用的理解。
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来源期刊
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
11.40
自引率
11.80%
发文量
241
审稿时长
>12 weeks
期刊介绍: The Journal of Advances in Modeling Earth Systems (JAMES) is committed to advancing the science of Earth systems modeling by offering high-quality scientific research through online availability and open access licensing. JAMES invites authors and readers from the international Earth systems modeling community. Open access. Articles are available free of charge for everyone with Internet access to view and download. Formal peer review. Supplemental material, such as code samples, images, and visualizations, is published at no additional charge. No additional charge for color figures. Modest page charges to cover production costs. Articles published in high-quality full text PDF, HTML, and XML. Internal and external reference linking, DOI registration, and forward linking via CrossRef.
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