Articles | Volume 16, issue 22
https://doi.org/10.5194/gmd-16-6857-2023
https://doi.org/10.5194/gmd-16-6857-2023
Development and technical paper
 | 
24 Nov 2023
Development and technical paper |  | 24 Nov 2023

A sub-grid parameterization scheme for topographic vertical motion in CAM5-SE

Yaqi Wang, Lanning Wang, Juan Feng, Zhenya Song, Qizhong Wu, and Huaqiong Cheng

Related authors

The Applicability of the Integral Method with Variable Limit in Solving the Governing Equations for Temperature and Salinity in an Ocean Circulation Model
Xiaole Li, Zhenya Song, Xiongbo Zheng, Zhanpeng Zhuang, Fangli Qiao, Haibin Zhou, and Mingze Ji
EGUsphere, https://doi.org/10.5194/egusphere-2025-2636,https://doi.org/10.5194/egusphere-2025-2636, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Enhancing single precision with quasi-double precision: achieving double-precision accuracy in the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 8.2.1
Jiayi Lai, Lanning Wang, Qizhong Wu, Yizhou Yang, and Fang Wang
Geosci. Model Dev., 18, 1089–1102, https://doi.org/10.5194/gmd-18-1089-2025,https://doi.org/10.5194/gmd-18-1089-2025, 2025
Short summary
Modeling of polycyclic aromatic hydrocarbons (PAHs) from global to regional scales: model development (IAP-AACM_PAH v1.0) and investigation of health risks in 2013 and 2018 in China
Zichen Wu, Xueshun Chen, Zifa Wang, Huansheng Chen, Zhe Wang, Qing Mu, Lin Wu, Wending Wang, Xiao Tang, Jie Li, Ying Li, Qizhong Wu, Yang Wang, Zhiyin Zou, and Zijian Jiang
Geosci. Model Dev., 17, 8885–8907, https://doi.org/10.5194/gmd-17-8885-2024,https://doi.org/10.5194/gmd-17-8885-2024, 2024
Short summary
Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI)
Lei Kong, Xiao Tang, Zifa Wang, Jiang Zhu, Jianjun Li, Huangjian Wu, Qizhong Wu, Huansheng Chen, Lili Zhu, Wei Wang, Bing Liu, Qian Wang, Duohong Chen, Yuepeng Pan, Jie Li, Lin Wu, and Gregory R. Carmichael
Earth Syst. Sci. Data, 16, 4351–4387, https://doi.org/10.5194/essd-16-4351-2024,https://doi.org/10.5194/essd-16-4351-2024, 2024
Short summary
Synergistic effects of the winter North Atlantic Oscillation (NAO) and El Niño–Southern Oscillation (ENSO) on dust activities in North China during the following spring
Falei Xu, Shuang Wang, Yan Li, and Juan Feng
Atmos. Chem. Phys., 24, 10689–10705, https://doi.org/10.5194/acp-24-10689-2024,https://doi.org/10.5194/acp-24-10689-2024, 2024
Short summary

Cited articles

Akinsanola, A. A., Ongoma, V., and Kooperman, G. J.: Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa, Atmos. Res., 254, 105509, https://doi.org/10.1016/j.atmosres.2021.105509, 2021. 
Alpert, P. and Shafir, H.: Mesoγ-Scale Distribution of Orographic Precipitation: Numerical Study and Comparison with Precipitation Derived from Radar Measurements, J. Appl. Meteorol., 28, 1105–1117, 1989. 
Alpert, P., Jin, F., and Shafir, H.: Orographic precipitation simulated by a super-high resolution global climate model over the Middle East, National Security and Human Health Implications of Climate Change, 1, 301–306, https://doi.org/10.1007/978-94-007-2430-3_26, 2012. 
Attada, R., Dasari, H. P., Kumar, R. K., Langodan, S., Kumar, K. N., Knio, O., and Hoteit, I: Evaluating cumulus parameterization schemes for the simulation of Arabian Peninsula winter rainfall, J. Hydrometeorol., 21, 1089–1114, 2020. 
Bretherton, C. S. and Park, S.: A new moist turbulence parameterization in the community atmosphere model, J. Climate, 22, 3422–3448, 2009a. 
Download
Short summary
In this study, to noticeably improve precipitation simulation in steep mountains, we propose a sub-grid parameterization scheme for the topographic vertical motion in CAM5-SE to revise the original vertical velocity by adding the topographic vertical motion. The dynamic lifting effect of topography is extended from the lowest layer to multiple layers, thus improving the positive deviations of precipitation simulation in high-altitude regions and negative deviations in low-altitude regions.
Share