Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR029064 |
Increasing the physical representation of forest‐snow processes in coarse‐resolution models: Lessons learned from upscaling hyper‐resolution simulations | |
Giulia Mazzotti; Clare Webster; Richard Essery; Tobias Jonas | |
2021-04-23 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Processes shaping forest snow cover evolution often vary at small spatial scales which are not resolved by most model applications. Representing this variability at larger scales and coarser model resolutions constitutes a major challenge for model developers. In this study, we use a well‐validated hyper‐resolution forest snow model that explicitly resolves the spatial variability of canopy‐snow interactions at the meter scale to explore adequate representation of forest‐snow processes at coarser resolutions (50m). For this purpose, we assess coarser‐resolution runs against spatially averaged results from corresponding hyper‐resolution simulations over a 150 000 m2 model domain. For the coarser‐resolution simulations, we tested alternative upscaling strategies. Our results reveal considerable discrepancies between strategies that utilize generalized canopy metrics versus strategies that apply a more detailed set of process‐specific canopy descriptors. Particularly, the inclusion of canopy descriptors that represent the various scales and perspectives relevant to the individual processes leads to accurate simulation of forest snow cover dynamics at coarse resolutions. Our results further demonstrate that a realistic representation of snow‐covered fraction in snowmelt calculations is important even for relatively small (∼50 m) grid cells. Ultimately, this work provides recommendations for modelling forest‐snow processes in large‐scale applications, which allow coarse‐resolution simulations to approximate spatially averaged results of corresponding hyper‐resolution simulations. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/324030 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Giulia Mazzotti,Clare Webster,Richard Essery,等. Increasing the physical representation of forest‐snow processes in coarse‐resolution models: Lessons learned from upscaling hyper‐resolution simulations[J]. Water Resources Research,2021. |
APA | Giulia Mazzotti,Clare Webster,Richard Essery,&Tobias Jonas.(2021).Increasing the physical representation of forest‐snow processes in coarse‐resolution models: Lessons learned from upscaling hyper‐resolution simulations.Water Resources Research. |
MLA | Giulia Mazzotti,et al."Increasing the physical representation of forest‐snow processes in coarse‐resolution models: Lessons learned from upscaling hyper‐resolution simulations".Water Resources Research (2021). |
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