Insights into Climate Dynamics: From Observational Records to Climate Modeling

Dear Colleagues,

Climate change presents one of the most significant scientific and societal challenges of our time. A deeper and more accurate understanding of climate dynamics is essential for developing effective mitigation and adaptation strategies. This hinges on synergistic advancements in two core areas: the continuous expansion of observational records and the growing sophistication of climate models. This Special Issue aims to create a forum for the latest research that bridges the gap between these two fundamental pillars of climate science.

We are particularly interested in submissions that leverage state-of-the-art methodologies to integrate observational data with climate models, thereby reducing uncertainties in climate projections and enhancing our understanding of underlying physical processes. This includes, but is not limited to, the development and application of high-resolution climate models, advanced data assimilation techniques, and the utilization of high-performance computing to tackle previously intractable problems in climate science.

We invite the submission of high-quality original research articles and comprehensive reviews covering a wide range of topics. Potential areas of interest include the following:

• High-Resolution Climate Modeling: The development, evaluation, and application of global and regional climate models at convection-permitting or eddy-resolving scales.
• Climate Data Assimilation: Novel methods (e.g., variational, ensemble-based) for integrating diverse observational datasets (satellite, in situ, proxy) into climate models to improve initialization and state estimation.
• High-Performance Computing in Climatology: Breakthroughs in computational efficiency, model parallelization, and big data management that enable next-generation climate simulations.
• Observational Data Analysis: Analysis of long-term climate records, reanalysis datasets, and novel observational products to identify climate trends, variability, and extremes.
• Model-Data Fusion for Process Understanding: Studies that combine observations and model outputs to investigate key climate processes, such as cloud–aerosol–radiation interactions, ocean–atmosphere coupling, and cryosphere dynamics.
• Climate Change Detection and Attribution: Advanced methods for attributing observed changes in the climate system to natural and anthropogenic drivers.
• Machine Learning and AI Applications: The application of artificial intelligence in climate model parameterization, data analysis, extreme event prediction, and downscaling.

This Special Issue will provide a valuable collection of cutting-edge research that showcases the progress and future directions in understanding our evolving climate system.

Prof. Dr. Wei Zhou
Prof. Dr. Xiangwen Liu
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 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. Applied Sciences is an international peer-reviewed open access semimonthly 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.

• climate modeling
• data assimilation
• climate dynamics
• observational data
• high-performance computing
• climate change
• model–data fusion
• extreme weather events
• climate prediction
• reanalysis