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Atmosphere
Special Issues
Land Surface Processes: Modeling and Observation
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Land Surface Processes: Modeling and Observation

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1129

Special Issue Editor

Prof. Dr. Zhiqiu Gao

E-Mail Website
Guest Editor
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Interests: land–air interactions; parameterization and modeling of land surface processes; measurements of land–air interactions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are happy to invite you to submit your work to this Special Issue of Atmosphere, titled “Land Surface Processes: Modeling and Observation”. The objective of this Special Issue of Atmosphere is to publish original research manuscripts which focus on the application of mathematical and physical methods and artificial intelligence (AI) technology in the modeling and measurement of land surface processes on various scales. We aim to publish papers that relate to (1) novel/improved methods and/or retrieval algorithms of satellite remote sensing to estimate turbulent fluxes from a single, regional point to a global scale; (2) the parameterization of land–air interactions in weather forecasting and regional/global climate prediction; (3) AI technology applications in measurements and modeling of land process; and (4) land surface processes under typical weather environments, namely typhoon, tornado, rainstorm, freezing rain and snow, and wildfire, to benefit the community, open to everybody in need of them. We sincerely encourage submissions from researchers based all around the world, especially the new generation of scientists.

Prof. Dr. Zhiqiu Gao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • land-air interactions
  • turbulent fluxes
  • measurements
  • modeling
  • AI technology
  • parameterization

Published Papers (1 paper)

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Research

17 pages, 10055 KiB  
Article
Simulating the Wind Energy Distribution in the Coastal Hilly Area of the Jiaodong Peninsula Using the Weather Research and Forecasting Model
by Yunhai Song, Sen He, Zhenzhen Zhou, Liwei Wang, Yufeng Yang, Zheng Li and Zhiqiu Gao
Atmosphere 2024, 15(1), 101; https://doi.org/10.3390/atmos15010101 - 13 Jan 2024
Viewed by 878
Abstract
This study simulated the wind energy density distribution in the Jiaodong Peninsula region using the Weather Research and Forecasting (WRF) Model. The impacts of different boundary-layer and near-surface parameterization schemes on the simulated wind speed and direction were investigated. The results indicate that [...] Read more.
This study simulated the wind energy density distribution in the Jiaodong Peninsula region using the Weather Research and Forecasting (WRF) Model. The impacts of different boundary-layer and near-surface parameterization schemes on the simulated wind speed and direction were investigated. The results indicate that the Yonsei University (YSU) scheme and the Quasi-Normal Scale Elimination (QNSE) scheme performed optimally for wind speed and wind direction. We also conducted a sensitivity test of the simulation results for atmospheric pressure, air temperature, and relative humidity. The statistical analysis showed that the YSU scheme performed optimally, while the MRF and BL schemes performed poorly. Following this, the wind energy distribution in the coastal hilly areas of the Jiaodong Peninsula was simulated using the YSU boundary-layer parameterization scheme. The modeled wind energy density in the mountainous and hilly areas of the Jiaodong Peninsula were higher than that in other regions. The wind energy density exhibits a seasonal variation, with the highest values in spring and early summer and the lowest in summer. In spring, the wind energy density over the Bohai Sea is higher than over the Yellow Sea, while the opposite trend is modeled in summer. Full article
(This article belongs to the Special Issue Land Surface Processes: Modeling and Observation)
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