Data for "Physically Based Deep Learning Framework to Model Intense Precipitation Events at Engineering Scales"
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下载链接：
https://zenodo.org/record/6631995
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资源简介：
The dataset consists of high resolution (250 m) and low resolution (0.025 degree) climate model outputs in netCDF format. Each file contains data for one variable and one month.
Low resolution files follow the naming scheme: montrealC_0025deg_200x200_ERA5_1m_YYYYMM_VAR.nc
High resolution files follow the naming scheme: montrealC_250m_324x324_ERA5_TEB_100_noconv_YYYYMM_VAR.nc
YYYYMM stands for the year (first 4 digits) and month (last 2 digits).
_VAR indicates the variable contained in the file:
_UU700 stands for the east-west component of wind at a pressure level of 700 hPa (hourly frequency)
_VV700 stands for the north-south component of wind at a pressure level of 700 hPa (hourly frequency)
When _VAR is omitted, the variable is precipitation at 1-minute temporal resolution
创建时间：
2022-06-14
