基于HRCLDAS/CLM陆面数据同化系统的青藏高原地区土壤湿度模拟研究

陈萍萍; 沈润平; 师春香; 韩帅; 王绍武; 袁帅; 鲁青芸

doi:10.3878/j.issn.1006-9585.2018.17139

基于HRCLDAS/CLM陆面数据同化系统的青藏高原地区土壤湿度模拟研究

doi: 10.3878/j.issn.1006-9585.2018.17139

1.
南京信息工程大学, 南京 210044
2.
国家气象信息中心, 北京 100081

基金项目:

国家自然科学基金重点项目 91437220

详细信息

作者简介:
陈萍萍, 女, 1992年出生, 硕士研究生, 主要从事陆面模式模拟与地表参数研究。E-mail:ppchen_nuist@163.com

通讯作者:
沈润平, E-mail:rpshen@nuist.eud.cn

中图分类号: P426.68
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- 被引次数: 0
出版历程
- 收稿日期: 2017-09-26
- 网络出版日期: 2018-02-01
- 刊出日期: 2018-07-20

Simulation Analysis of Soil Moisture in the Tibetan Plateau Based on the HRCLDAS/CLM Land Data Assimilation System

1.
Nangjing University of Information Science and Technology, Nanjing 210044
2.
National Meteorological Information Center, China Meteorological Administration, Beijing 100081

Funds:

National Natural Science Foundation of China 91437220

摘要

摘要: 利用最新的高时空分辨率（1 km、1 h）的中国气象局高分辨率陆面数据同化系统（HRCLDAS-V1.0）大气近地面强迫资料，驱动由NCAR发展的通用陆面模式（CLM），对青藏高原地区2015年1月1日至9月30日的土壤湿度开展了模拟研究。结果表明模拟得到的高时空分辨率（1 km、1 h）土壤湿度能够体现出青藏高原地区从东南向西北逐渐变低的空间分布特征，较好地表现出各层土壤湿度的时间变化特征，6~9月土壤湿度波动较大，1~5月波动较平缓，上层土壤湿度变幅较大，深层变化较平缓。0~5 cm、0~10 cm和10~40 cm深度土壤湿度模拟结果与观测值的相关系数均在0.8以上，其中0~5 cm土层的相关系数达到0.92，各层土壤湿度观测值与模拟值的均方根误差变化则相反，3个土层土壤湿度模拟结果与观测值的偏差均小于0.04 mm³ mm^-3，但模式对于研究时段土壤湿度变化的低值有高估现象，且模拟能力随着土层深度的加深而减弱。
- 青藏高原 /
- HRCLDAS/CLM系统 /
- 陆面模式 /
- 土壤湿度
Abstract: China Meteorological Administration High Resolution Land Data Assimilation System (HRCLDAS-V1.0) is used to drive the Community Land Model (CLM) for soil moisture simulation from 1 Jan to 30 Sep 2015 over the Tibetan Plateau region. Results show that the simulated soil moisture with high spatial-temporal resolution (1 km, 1 h) can reflect the spatial distribution characteristics of soil moisture in the Tibetan Plateau, where the soil moisture gradually decreases from the southeast to the northwest. Temporal variability of the soil moisture shows large changes from Jun to Sep, while the changes from Jan to May are more gentle at different depths of soil. Large changes are found in the upper soil layers, while changes are often small in deep soil layers. The correlation coefficient between the observations and simulated soil moisture is above 0.8 of 0-5-cm, 0-10-cm, and 10-40-cm depths, and reaches 0.92 for the layer of 0-5-cm depth. The changes of the root mean square errors for simulated and observed soil moisture are opposite, and the biases of simulated soil moisture are less than 0.04 mm³ mm^-3 in all layers. During the study period, the low value of soil moisture is overestimated, and the simulation ability of the model for soil moisture decreases with the depth of the soil.
- Tibetan Plateau /
- HRCLDAS/CLM System /
- Land surface model /
- Soil moisture

HTML全文

图 1 土壤湿度观测站点分布

Figure 1. Distribution of soil moisture observation sites

下载: 全尺寸图片幻灯片

图 2 2015年1~9月（a）安多、（b）那曲、（c）比如、（d）聂荣站点土壤湿度逐6小时变化

Figure 2. Variations of soil moisture at 6-h intervals from Jan to Sep 2015 at (a) Amdo, (b) Naqu, (c) Biru, and (d) Nierong observational sites

下载: 全尺寸图片幻灯片

图 3 2015年1~9月青藏高原地区土壤湿度模逐6小时变化

Figure 3. Variation of simulated soil moisture at 6-h intervals from Jan to Sep 2015 in the Tibetan Plateau

下载: 全尺寸图片幻灯片

图 4 2015年1~9月青藏高原地区观测与模拟逐6小时土壤湿度(R为相关系数)

Figure 4. The observed and simulated soil moisture at 6-h interval from Jan to Sep 2015 in the Tibetan Plateau (R denotes correlation coefficient)

下载: 全尺寸图片幻灯片

图 5 2015年1~9月青藏高原土壤湿度模拟值月变化及其与观测值的偏差(点上黑色线段)

Figure 5. Variations and biases (black lines above and below dots) of simulated monthly mean soil moisture from Jan to Sep 2015 in the Tibetan Plateau

下载: 全尺寸图片幻灯片

图 6 模式模拟的青藏高原地区2015年1~9月平均(a)0~5 cm、(b)0~10 cm、(c)10~40 cm土壤湿度空间分布

Figure 6. Spatial distributions of simulated soil moisture averaged from Jan to Sep 2015 in the Tibetan Plateau of soil lays of (a) 0−5 cm, (b) 0−10 cm, and (c) 10−40 cm

下载: 全尺寸图片幻灯片

表 1 2015年1~9月青藏高原土壤湿度观测值与模拟值的整体相关系数、均方根误差及偏差

Table 1. Correlation coefficients, root-mean-square arrors, and biases between observed and simulated soil moisture from Jan to Sep 2015 in the Tibetan Plateau

土层深度	相关系数	均方根误差/mm³ mm⁻³	偏差/mm³ mm⁻³
0~5 cm	0.92**	0.033	0.016
0~10 cm	0.88**	0.036	0.014
10~40 cm	0.83**	0.044	0.039
**为0.01显著性水平。

下载: 导出CSV

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