Special Issue "Machine Learning Applications in Earth System Science"
Deadline for manuscript submissions: closed (29 September 2021) | Viewed by 4674
Interests: land surface hydrology; land-atmosphere interactions; characterization of uncertainties in global climate models
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Interests: computational neuroscience; robotics; physics simulation; python; software engineering; neural networks; artificial neural networks; artificial intelligence; machine learning; fortran
With the advent of the big data era, concurrently with the advances in hardware and computational technologies, machine learning (ML) is proving to be increasingly useful in synthesizing valuable information from large volumes of data from earth observations (EO) and earth system models (ESMs). One of the earliest successes in adopting ML techniques for application in atmospheric sciences dates back to 1990 when a neural network was developed to classify clouds from satellite imagery. Since then ML approaches have been widely used in earth system sciences. In fact, hybrid data-driven approaches are being employed toward developing a new generation of ESMs. We invite manuscripts regarding the application of machine learning and artificial intelligence techniques in the subject areas of earth system science encompassing Atmosphere, including meteorology, oceanography, climatology, biometeorology, land-atmosphere interactions, aerosol and air quality. Topics that are of particular interest include ML frameworks for ESMs and EO, physics informed ML, interpretable ML, and applications of ML to a broad range of problems in classification and regression, anomaly detection, spatial mapping and gap filling, geophysical retrievals, spatio-temporal prediction, downscaling for regional climate projections, characterizing extreme events, subgrid scale parameterisations, and surrogate model development for use as emulators in earth system models.Dr. Valentine Anantharaj
Dr. Forrest M. Hoffman
Dr. Udaysankar S. Nair
Dr. Samantha Vanessa Adams
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 2000 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.
- ML frameworks for ESMs and EO
- physics informed ML
- applications of ML
- characterizing extreme events
- spatio-temporal prediction
- regional climate projections