Plateau Meteorology

Current Issue

Catalogue Cover 28 June 2023, Volume 42 Issue 3

The Relationship between the Flow Around the Qinghai-Xizang Plateau and the Precipitation and Temperature in China in Winter Half-year
Yongli ZHANG, Hongchao ZUO, Xiaoqing GAO, Shihua LÜ, Bolong CHEN, Longxiang DONG, Licheng LI
2023 Vol. 42 (3): 529-542. DOI:10.7522/j.issn.1000-0534.2023.00018
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Research of the Distribution Characteristics and Generation Mechanism of Cirrus Clouds over the Qinghai-Xizang Plateau in Summer
Kai WANG, Jian CHEN, Zhecheng HONG, Chuqiao YAN, Qianshan HE
2023 Vol. 42 (3): 543-552. DOI:10.7522/j.issn.1000-0534.2022.00069
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Response of Vegetation over the Qinghai-Xizang Plateau to Projected Warming Climate
Yan BAO, Yuqi WANG, Sulan NAN, Miao YU
2023 Vol. 42 (3): 553-563. DOI:10.7522/j.issn.1000-0534.2021.00109
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Temporal and Spatial Changes of Dust Aerosol over Qinghai-Xizang （Tibet） Plateau and Analysis on Its Source Regions
Bentao LI, Lei ZHANG, Yunshu ZHANG, Haotian ZHANG, Gefei LU
2023 Vol. 42 (3): 564-574. DOI:10.7522/j.issn.1000-0534.2022.00100
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Characteristics of Surface Water and Heat Exchange during Soil Freezing And Thawing of Maqu Station in the Source Area of the Yellow River
Ge ZHANG, Xin LAI, Kang LIU
2023 Vol. 42 (3): 575-589. DOI:10.7522/j.issn.1000-0534.2022.00083
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Application of the Analytic Model Based on Energy Balance into the Lake Ice Simulation of Qinghai Lake
Yixin ZHAO, Lijuan WEN, Mengxiao WANG, Li ZENG, Ruijia NIU
2023 Vol. 42 (3): 590-602. DOI:10.7522/j.issn.1000-0534.2022.00042
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The Impacts of Vapor Transport on Land-atmospheric Water & Heat Exchanges over the Yarlung Zangbo Grand Canyon Area
Qiang ZHANG, jun WEN, yiting YANG, dongyu JIA, wenhui LIU, yaling CHEN, xuancheng LU
2023 Vol. 42 (3): 603-618. DOI:10.7522/j.issn.1000-0534.2022.00091
Abstract ( ) PDF (5589KB) ( )

Surface Radiation Budget and Surface Albedo Characteristics in Eastern Pamir Plateau
Guosheng WANG, Qing HE, Hongyan XING, Xu TANG
2023 Vol. 42 (3): 619-631. DOI:10.7522/j.issn.1000-0534.2022.00088
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Sensitivity Analysis of Soil Gravel Parameterization on the Formation and Development of the Plateau Vortex
Pan CHENG, Shihua LÜ, Hongyu SUN, Xingyu TAO, Huiqi YOU, Fan YANG, Xuejun CAO, Jun YAN
2023 Vol. 42 (3): 632-645. DOI:10.7522/j.issn.1000-0534.2022.00075
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Characteristics and East Downscaling Forecast Model of Summer Precipitation in Northwest China
Jiangtao ZHU, Qingyi YANG, Xu LI, Yan LI
2023 Vol. 42 (3): 646-656. DOI:10.7522/j.issn.1000-0534.2022.00102
Abstract ( ) PDF (7251KB) ( )

The Spatio-temporal Distribution of the Start-end Date and Freezing Depth and their Relationships with Air Temperature over the Western China
Yueqi LI, Jun WEN, Wenhui LIU, Yihao CHEN, Yaling CHEN, Qiang ZHANG, Zhen LIU
2023 Vol. 42 (3): 657-670. DOI:10.7522/j.issn.1000-0534.2022.00080
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Simulation of Land-Atmosphere Water and Heat Exchange over the Underlying Surface of Different Crops on the Loess Plateau
Wei JIN, Yinhuan AO, Xiaohang WEN, Zhaoguo LI, Xianhong MENG, Jianglin LI, Gang ZHAO, Mingshan DENG, Lijun XIE, Zihang CHEN
2023 Vol. 42 (3): 671-686. DOI:10.7522/j.issn.1000-0534.2022.00078
Abstract ( ) PDF (9915KB) ( )
Changes in the planting structure of farmland on the Loess Plateau impact land surface energy and water exchange， regional evapotranspiration， etc.The complex hydrothermal coupling mechanism of different crop underlying surfaces plays an essential role in the land-atmosphere interaction on the Loess Plateau.In this paper， based on the observation data of 34 months from 2019 to 2021 in the east of Gansu province， combined with CLM5.0-BGCCROP coupled with the crop module， the land surface characteristics of different typical crops （winter wheat， corn， and apple forest） on the Loess Plateau were offline single-point simulated.To verify the simulation ability of CLM5.0 on the land surface processes of agricultural fields on the Loess Plateau and compare the differences in soil temperature， soil liquid water content， and surface energy fluxes of different crops.The results showed that：（1） CLM5.0 has a better simulation effect on soil temperature and liquid water content characteristics， average RMSE is less than 2.5 $? ℃$ and 0.1 m³·m^-3， respectively.The simulated soil temperature values in the wheat field are high， and there is a cold bias in the corn and apple fields.Winter wheat， which has a dry growth period， caused more soil drying than corn.Apple forest， which has a rich root system， absorbed more soil water， making the soil drier overall.（2） Part of the simulation bias is due to setting crop underlying surfaces to a single crop functional type in the model， overestimating the leaf area index of crops during the growth period， underestimating the surface albedo， overestimating the net radiation flux， and converting more energy flux into sensible and latent heat flux.（3） Another part of the simulation bias comes from the diverse crop management methods in the farmland.For example， crop fields are not completely tilled to bare soil after harvest， and the model overestimates soil temperature and soil liquid water content in wheat and corn fields.The model does not have the mulching option， which leads to the low simulated soil temperature and soil liquid water content in corn fields， about 1.84 $? ℃$ and 0.058 m³·m^-3， respectively.（4） The winter wheat and corn mixed crop underlying surface simulation experiment could better simulate the surface energy fluxes， and the simulated average deviations of net radiation， sensible heat flux， and latent heat flux were -6.13 W·m^-2， 11.46 W·m^-2， -1.97 W·m^-2， respectively.During the growth period， canopy transpiration dominates， and with the increase of crop leaf area index， sensible heat flux decreases， soil temperature decreases， latent heat flux increases， and soil liquid water content decreases.