Page 218 - 《高原气象》2026年第1期
P. 218
高 原 气 象 45 卷
214
drometeorology, 10(1): 278-288. DOI: 10. 1175/2008jhm1 Xue H L, Jin Q J, Yi B Q, et al, 2017. Modulation of soil initial state
016. 1. on WRF model performance over China[J]. Journal of Geophysi‐
Dy C Y, Fung J C H, 2016. Updated global soil map for the weather cal Research: Atmospheres, 122(21): 11, 278-11, 300. DOI:
Research and forecasting model and soil moisture initialization 10. 1002/2017JD027023.
for the Noah land surface model[J]. Journal of Geophysical Re‐ Zhang H L, Liu J J, Li H Q, et al, 2020. The impacts of soil moisture
search: Atmospheres, 121(15): 8777-8800. DOI: 10. 1002/ initialization on the forecasts of weather research and forecasting
2015jd024558. model: a case study in Xinjiang, China[J]. Water, 12(7): 1892.
Fan X G, 2009. Impacts of soil heating condition on precipitation sim‐ DOI: 10. 3390/w12071892.
ulations in the weather research and forecasting model[J]. Month‐ Zhao C L, Gong C S, Duan H X, et al, 2022. Evaluation of three re‐
ly Weather Review, 137(7): 2263-2285. DOI: 10. 1175/ analysis soil temperature datasets with observation data over Chi‐
2009mwr2684. 1. na[J]. Earth, 3(4): 1042-1058. DOI: 10. 3390/earth3040060.
Li Z, Liu Q J, Ma Z S, 2024. Influences of graupel microphysics on Zhong J Q, Lu B, Wang W, et al, 2020. Impact of soil moisture on
CMA-GFS simulation of summer regional precipitation[J]. Jour‐ winter 2-m temperature forecasts in northern China[J]. Journal of
nal of Meteorological Research, 38(1): 27-38. DOI: 10. 1007/ Hydrometeorology, 21(4): 597-614. DOI: 10. 1175/jhm-d-19-
s13351-024-3068-3. 0060. 1.
Ma Z S, Zhao C F, Gong J D, et al, 2021. Spin-up characteristics 蔡福, 周广胜, 李荣平, 等, 2011. 陆面过程模型对下垫面参数动态
with three types of initial fields and the restart effects on forecast 变化的敏感性分析[J]. 地球科学进展, 26(3): 300-310. Cai
accuracy in the GRAPES global forecast system[J]. Geoscientific F, Zhou G S, Li R P, et al, 2011. Sensitivity of land surfaces
Model Development, 14(1): 205-221. DOI: 10. 5194/gmd-14- model to dynamic land surface parameters[J]. Advances in Earth
205-2021. Science, 26(3): 300-310.
Min J Z, Guo Y K, Wang G J, 2016. Impacts of soil moisture on typi‐ 龚伟伟, 2014. CMA 陆面数据同化系统(CLDAS)产品评估[D]. 南
cal frontal rainstorm in Yangtze River Basin[J]. Atmosphere, 7 京: 南京信息工程大学 . Gong W W, 2014. Evaluation on the
(3): 42. DOI: 10. 3390/atmos7030042. products of CMA land data assimilation system[D]. Nanjing:
Seo E, Lee M I, Jeong J H, et al, 2019. Impact of soil moisture ini‐ Nanjing University of Information Science & Technology.
tialization on boreal summer subseasonal forecasts: mid-latitude 韩帅, 师春香, 姜立鹏, 等, 2017. CLDAS 土壤湿度模拟结果及评
surface air temperature and heat wave events[J]. Climate Dynam‐ 估[J]. 应用气象学报, 28(3): 369-378. DOI: 10. 11898/1001-
ics, 52(3): 1695-1709. DOI: 10. 1007/s00382-018-4221-4. 7313. 20170310. Han S, Shi C X, Jiang L P, et al, 2017. The
Shen X S, Su Y, Zhang H L, et al, 2023. New version of the CMA- simulation and evaluation of soil moisture based on CLDAS[J].
GFS dynamical core based on the predictor-corrector time integra‐ Journal of Applied Meteorological Science, 28(3): 369-378.
tion scheme[J]. Journal of Meteorological Research, 37(3): DOI: 10. 11898/1001-7313. 20170310.
273-285. DOI: 10. 1007/s13351-023-3002-0. 李磊, 沈润平, 黄安奇, 等, 2021. 土壤质地改变对 CLDAS/Noah-
Shen X S, Wang J J, Li Z C, et al, 2020. Research and operational MP土壤湿度模拟的影响研究[J]. 高原气象, 40(3): 621-631.
development of numerical weather prediction in China[J]. Jour‐ DOI: 10. 7522/j. issn. 1000-0534. 2020. 00082. Li L, Shen R P,
nal of Meteorological Research, 34(4): 675-698. DOI: 10. Huang A Q, et al, 2021. Impact of soil texture on the simulation
1007/s13351-020-9847-6. of CLDAS/Noah-MP on simulating soil moisture[J]. Plateau Me‐
Shi C X, Xie Z H, Qian H, et al, 2011. China land soil moisture En‐ teorology, 40(3): 621-631. DOI: 10. 7522/j. issn. 1000-0534.
KF data assimilation based on satellite remote sensing data[J]. 2020. 00082.
Science China Earth Sciences, 54(9): 1430-1440. DOI: 10. 李浙华, 肖安, 郑丽君, 2024. 基于高分辨率数值预报和深度学习
1007/s11430-010-4160-3. 的地面气温预报研究[J]. 高原气象, 43(2): 464-477. DOI:
Sugimoto S, Takahashi H G, 2017. Seasonal differences in precipita‐ 10. 7522/j. issn. 1000-0534. 2023. 00073. Li Z H, Xiao A,
tion sensitivity to soil moisture in Bangladesh and surrounding re‐ Zheng L J, 2024. Research on surface temperature prediction
gions[J]. Journal of Climate, 30(3): 921-938. DOI: 10. 1175/ based on high-resolution numerical prediction products and deep
jcli-d-15-0800. 1. learning[J]. Plateau Meteorology, 43(2): 464-477. DOI: 10.
Trier S B, Chen F, Manning K W, et al, 2008. Sensitivity of the PBL 7522/j. issn. 1000-0534. 2023. 00073.
and precipitation in 12-day simulations of warm-season convec‐ 廖慧仁, 黄倩, 王梦圆, 等, 2024. 黄土高原表层土壤湿度与降水关
tion using different land surface models and soil wetness condi‐ 系的分析[J]. 高原气象, 43(3): 549-560. DOI: 10. 7522/j.
tions[J]. Monthly Weather Review, 136(7): 2321-2343. DOI: issn. 1000-0534. 2023. 00075. Liao H R, Huang Q, Wang M Y,
10. 1175/2007mwr2289. 1. et al, 2024. Analysis of the relationship between surface soil
Wang P Y, Zhang Q, Yang Y, et al, 2019. The sensitivity to initial moisture and precipitation over the Loess Plateau[J]. Plateau Me‐
soil moisture for three severe cases of heat waves over Eastern teorology, 43(3): 549-560. DOI: 10. 7522/j. issn. 1000-0534.
China[J]. Frontiers in Environmental Science, 7: 18. DOI: 10. 2023. 00075.
3389/fenvs. 2019. 00018. 刘树华, 蒋浩宇, 胡非, 等, 2008. 区域大气模式中陆面子模式起转

