Bias correction for spatially interpolated daily mean air temperature during winter in eastern Hokkaido using multimodal machine learning
Author:
Affiliation:
1. Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization
2. Present address: Faculty of Agriculture, Kyushu University
3. School of Agriculture, Meiji University
Publisher
Society of Agricultural Meteorology of Japan
Subject
Atmospheric Science,Agronomy and Crop Science
Link
https://www.jstage.jst.go.jp/article/agrmet/76/4/76_D-20-00027/_pdf
Reference49 articles.
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4. Baño-Medina J, Manzanas R, Gutiérrez JM, 2019: Configuration and intercomparison of deep learning neural models for statistical downscaling. Geoscientific Model Development Discussions https://doi.org/10.5194/gmd-2019-278, in review.
5. Dong C, Loy CC, He K, Tang X, 2014: Image super-resolution using deep convolutional networks. arXiv abs/ 1501.00092.
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