数据链接：
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资源简介：
The PyAverager is a package used for computing averages from climate model output.
应用场景：
相关数据集
Daily Minimum Temperatures quantile mapped to observations (realizations 91-100)
Simulated daily minimum surface temperature quantile mapped to observations (realizations 91-100)
Figshare2017-10-13 更新80
ece2cmor3-data
Extra data required to CMORize EC-Earth3 climate model output for CMIP6. This data is automatically downloaded by the ece2cmor3 tool (https://github.com/EC-Earth/ece2cmor3) during data processing.
DataCite Commons2024-03-28 更新50
PyAverager
The PyAverager is a package used for computing averages from climate model output.
University Corporation for Atmospheric Research30
NMME Precipitation Downscaling
Statistical Downscaling of NMME precipitation products using the analog method
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Improved Sea Ice Forecasting through Spatiotemporal Bias Correction Journal of Climate
A new method, called contour shifting, is proposed for correcting the bias in forecasts of contours such as sea ice concentration above certain thresholds. Retrospective comparisons of observations an
NOAA Institutional Repository2023-01-26 更新40
