Sample data of the CRCM5-LE for applications of the Latent Linear Adjustment autoencoder

This is a sample of the CRCM5-LE (Leduc et al. 2019) for the applications of the Latent Linear Adjustment autoencoder as demonstrated in Heinze-Deml et al., 2020. The sample data set is a subset of the CRCM5-LE. The original data can be accessed at the ClimEx data Access page.

References

Heinze-Deml C., Sippel, S., Pendergrass, A. G., Lehner, F., and Meinshausen, N., 2020: Latent Linear Adjustment autoencoders: A novel method for estimating and emulating dynamic precipitation at high resolution. arXiV preprint

Leduc, M., A. Mailhot, A. Frigon, J. Martel, R. Ludwig, G.B. Brietzke, M. Giguère, F. Brissette, R. Turcotte, M. Braun, and J. Scinocca, 2019: The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5). J. Appl. Meteor. Climatol., 58, 663–693, https://doi.org/10.1175/JAMC-D-18-0021.1.

本数据集为CRCM5-LE（Leduc等，2019）的样本数据，用于Heinze-Deml等（2020）演示的潜在线性调整自编码器（Latent Linear Adjustment autoencoder）相关应用。本样本数据集是CRCM5-LE的子集，原始数据可通过ClimEx数据访问页面获取。

参考文献
Heinze-Deml C.、Sippel S.、Pendergrass A.G.、Lehner F. 与Meinshausen N.，2020年：《潜在线性调整自编码器：一种估算并模拟高分辨率动态降水的新方法》，arXiv预印本。
Leduc M.、Mailhot A.、Frigon A.、Martel J.、Ludwig R.、Brietzke G.B.、Giguère M.、Brissette F.、Turcotte R.、Braun M. 与Scinocca J.，2019年：《ClimEx计划：基于加拿大区域气候模型（CRCM5）在欧洲与北美东北部生成的12公里分辨率气候变化预估50成员集合》，《应用气象与气候学杂志》，58卷，663–693页，https://doi.org/10.1175/JAMC-D-18-0021.1。