Machine Learning Approaches in Climate and Geohazards Predictions and Applications
Machine learning is an emerging field of computing that has recently found a wide range of applications in the fields of climate and geohazards. Machine learning-based models are being used to understand and predict extreme events such as floods, droughts, heatwaves, earthquakes, landslides, forest fires and infectious diseases as well as modes of climate variation such as El Niño-Southern Oscillation and the Indian Ocean Dipole. The skillful predictions and cost-effectiveness of the machine learning models compared to traditional methods of prediction make them an attractive tool for many researchers. Machine learning models of varying complexity, from simple linear regression to complex deep learning models have been applied to understand underlying processes related to climate and geohazard sciences. Moreover, the recent development of explainable artificial intelligence (XAI) has made machine learning more attractive to researchers as they can understand the physics behind the machine learning predictions.
This special issue will focus on the latest developments in utilizing machine learning models to enhance our predictive capabilities and deepen our comprehension of climate and geohazard sciences. The results from simple machine learning models such as artificial neural networks, random forecasts, etc. to complex deep learning models that add value to the present understanding or skill of climate and geohazard predictions are welcome for submission. Also, we welcome submissions that showcase the use of machine learning models to enhance numerical predictions as well as the application of quantum computing in the realms of weather, climate, and geohazards.
Venkata Ratnam Jayanthi, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan;
Biswajeet Pradhan, Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Australia;
Nachiketa Acharya, CIRES, University of Colorado Boulder, Colorado, USA;
Swadhin Kumar Behera, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan;
Manuscript submission information:
The journal’s submission platform Editorial Manager® will be available for receiving submissions to this Special Issue NOW. Please refer to the Guide for Authors to prepare your manuscript and select the article type of "VSI: ML: Climate and Geohazards" when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on Guide for authors.