Modeling Blowing Snow Over the Tibetan Plateau With the Community Land Model: Method and Preliminary Evaluation
Modeling Blowing Snow Over the Tibetan Plateau With the Community Land Model: Method and Preliminary Evaluation
复制标题
用社区土地模型模拟青藏高原上空的吹雪：方法和初步评估
DOI：
10.1029/2019jd030684
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发表时间：
2019-08
影响因子：
4.4
通讯作者：
Ma Weiqiang
中科院分区：
文献类型：
--
作者：
Xie Zhipeng;Hu Zeyong;Ma Yaoming;Sun Genhou;Gu Lianglei;Liu Shuang;Wang Yidan;Zheng Huixuan;Ma Weiqiang
山区积雪在区域和全球水和能量平衡、气候变化和生态系统中发挥着重要作用。本文提出了一种结合社区土地模型（CLM4.5）的吹雪模型PIEKTUK，以便在考虑风引起的雪再分布的情况下更好地估计雪动力学。2010年对TP进行了两个空间分辨率为0.065°的模拟，即包含吹雪效应的敏感性实验（CLM_BS）和原始模型的控制运行（CLM）。本研究的一个具体目标是评估耦合模式在模拟积雪动力学和其他地表能量分配关键变量（如地表反照率和地表温度）方面的改进。结果表明，CLM_BS能较好地再现青藏高原大部分地区的地表积雪、积雪深度和地表反照率，特别是昆仑山、河西地区和青藏高原西南部。在偏差较小的地区，CLM_BS能很好地反映月平均积雪分数的变化。然而，在CLM_BS中，夜间LST偏差显著降低，而白天LST偏差增加。研究结果表明，将吹雪过程纳入到TP上，可以促进积雪动力学和陆地-大气相互作用的建模。
Snow cover in mountainous terrain plays an important role in regional and global water and energy balances, climate change, and ecosystems. Blowing snow is a frequent and important weather phenomenon over the Tibetan Plateau (TP); however, this process is neglected in most current land surface models, despite the consequential role it plays in the land surface and atmospheric water and energy budgets. In this paper, we present a blowing snow model PIEKTUK coupled with the Community Land Model (CLM4.5) to provide a better estimate of the snow dynamics for the consideration of snow redistribution induced by wind. Two simulations with a 0.065° spatial resolution were performed in 2010 over the TP, namely, a sensitivity experiment with the inclusion of blowing snow effects (CLM_BS) and a control run with the original model (CLM). A specific objective of this study was to evaluate the improvements in the simulations of snow dynamics and other key variables in surface energy partitioning provided by the coupled model, such as the surface albedo and land surface temperature (LST). Compared with a variety of remote‐sensing observations, the results show that the surface snow cover, snow depth, and surface albedo can be better reproduced in most of the TP region by CLM_BS than by the original CLM, particularly in the Kunlun Mountains, Hoh Xil area, and the southwestern TP. In areas with reduced bias, variations in the monthly mean snow cover fraction can be reflected particularly well by CLM_BS. For LST, however, a significant decrease in the nighttime LST bias was detected in CLM_BS, while the bias in the daytime LST increases. The results show considerable potential for the inclusion of the blowing snow process to promote the modeling of snow dynamics and land‐atmosphere interactions on the TP.
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DOI：
10.5065/d6rr1w7m
发表时间：
2013
期刊：
--
影响因子：
--
作者：
K. Oleson;M. Lawrence;B. Bonan;B. Drewniak;Maoyi Huang;D. Koven;S. Levis;Fang Li;J. Riley
通讯作者：
K. Oleson;M. Lawrence;B. Bonan;B. Drewniak;Maoyi Huang;D. Koven;S. Levis;Fang Li;J. Riley
DOI：
10.7522/j.issn.1000-0534.2016.00012
发表时间：
2017-02
期刊：
Plateau Meteorology
影响因子：
--
作者：
Xie Zhipeng;Hu Zeyong;Liu Huolin;Sun Genhou;Yang Yaoxian;Lin Yun;Hu Fangfang
通讯作者：
Xie Zhipeng;Hu Zeyong;Liu Huolin;Sun Genhou;Yang Yaoxian;Lin Yun;Hu Fangfang
影响因子：
2.9
作者：
G. Guyomarc'h;L. Mérindol
通讯作者：
G. Guyomarc'h;L. Mérindol
青藏高原吹雪模拟气象强迫数据集：评估与比对
影响因子：
3.8
作者：
Xie Zhipeng;Hu Zeyong;Gu Lianglei;Sun Genhou;Du Yizhen;Yan Xiaoqiang
通讯作者：
Yan Xiaoqiang
影响因子：
1.7
作者：
Zhiguang Tang;Jian Wang;Hongyi Li;Lili Yan
通讯作者：
Zhiguang Tang;Jian Wang;Hongyi Li;Lili Yan