New Insights into Land–Atmosphere Interactions in Climate Dynamics

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 2438

Special Issue Editors


E-Mail Website
Guest Editor
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Interests: land–atmosphere interactions; weather forecasting; regional climate; hydrologic and water resource modeling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Interests: climate change; drought; heat waves; extreme events; hydrologic and water resource modeling and simulation; climate dynamics; evapotranspiration; validation studies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Increasing greenhouse gas concentrations is likely to enhance the interannual variability of climate change around the globe, particularly in the midlatitude areas, potentially causing more frequent extreme weather/climate events. Studies have identified that the extent of land–atmosphere interactions or coupling prevails at local, regional, and global scales. Regions with substantial strengths are termed hotspots due to the complex behavior of variables that govern those feedbacks and couplings. The regions identified mostly influence the near-surface temperature and energy regimes by disturbing and controlling the surface energy balance and water cycle, in which evapotranspiration is the key to the connection between the land and the atmosphere. Challenges still exist in understanding the spatial and temporal variations in land–atmosphere interactions due to limited observations in heat fluxes. Land surface conditions, including soil moisture, precipitation, temperature, land use, land cover, and snow cover, could considerably affect atmospheric processes in many parts of the globe. Both surface temperature and precipitation variations may be strongly influenced by the land–atmosphere interaction strength at various temporospatial scales.

In this regard, we invite the submission of original research articles and reviews on any aspect of land–atmosphere interactions in climate dynamics. The Special Issue aims to improve our understanding of the processes, interactions, feedback, coupling, and teleconnections at the land–atmosphere interface from the perspectives of reanalysis, observation, simulation, and future projection. We especially encourage studies using the most recent technology, such as reanalysis and state-of-the-art CMIP6 GCMs, to address such issues.

Prof. Dr. Xinmin Zeng
Dr. Irfan Ullah
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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–atmosphere interactions
  • land–air–sea interactions
  • land–atmosphere coupling
  • land surface
  • soil moisture
  • precipitation
  • temperature
  • land use/land cover–vegetation interactions
  • CMIP6 projection
  • extreme weather events such as drought, heat waves, and floods
  • large-scale land–atmosphere teleconnections

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 2530 KB  
Article
Impacts of Climate Change on Rice Production in Pakistan: A Perspective from a Deep Learning Approach
by Muhammad Haroon Shah, Wilayat Shah, Sidra Syed, Irfan Ullah, Yaoyao Wang and Yuanyuan Wang
Atmosphere 2025, 16(11), 1305; https://doi.org/10.3390/atmos16111305 - 19 Nov 2025
Cited by 3 | Viewed by 1903
Abstract
Ensuring food security in Pakistan, particularly for rice production, is a critical challenge due to increasing population demands and the growing impact of climate change variability. Accurate estimation of rice crop yields is essential for optimizing resource allocation, managing supply chains, and forecasting [...] Read more.
Ensuring food security in Pakistan, particularly for rice production, is a critical challenge due to increasing population demands and the growing impact of climate change variability. Accurate estimation of rice crop yields is essential for optimizing resource allocation, managing supply chains, and forecasting economic growth while minimizing agricultural losses. This study utilizes a Deep Neural Network (DNN) to predict rice yields in Pakistan by analyzing the effects of maximum temperature and precipitation trends under high-emission scenarios (SSP5-8.5) derived from CMIP6 climate models. Historical (1980–2014) and future (2015–2100) climate projections were evaluated using key variables, including precipitation, meteorological conditions, cultivated area, and crop yields. Results from CMIP6 SSP5-8.5 indicate a significant rise in maximum temperatures and increased precipitation variability, exacerbating risks to rice crop yields. DNN demonstrated superior accuracy in forecasting these trends, achieving high R-squared values and low error metrics, including Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The findings reveal that Pakistan, particularly Eastern South Asia, is highly vulnerable to climate extremes, with severe implications for rice production and agricultural sustainability. These results highlight the urgent need for policymakers to adopt climate adaptation strategies, including advanced predictive modeling and resilient agricultural practices, to safeguard rice production and ensure long-term food security in Pakistan’s monsoon-dependent regions. This study aligns with Sustainable Development Goal 2 (Zero Hunger) by contributing to food security and sustainable agricultural development, and with Sustainable Development Goal 13 (Climate Action) by addressing climate change impacts on agriculture and promoting resilience in rice production systems. Full article
(This article belongs to the Special Issue New Insights into Land–Atmosphere Interactions in Climate Dynamics)
Show Figures

Figure 1

Back to TopTop