학술논문
MERRAMax: A machine learning approach to stochastic convergence with a multi-variate dataset
Document Type
Conference
Author
Source
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2020 - 2020 IEEE International. :2017-2020 Sep, 2020
Subject
Language
ISSN
2153-7003
Abstract
Using a combination of high end computing and machine learning algorithms we developed a system to interrogate climate reanalysis data in a species distribution model. The results show that this system can be used as a tool to identify key variables of interest relevant to a species and to generate a probability map of the distribution of a species of interest. This opens new avenues for statistical inference in regions with sparse observational data.