[HTML][HTML] How well does the ERA5 reanalysis capture the extreme climate events over China? Part I: Extreme precipitation
X Lei, W Xu, S Chen, T Yu, Z Hu, M Zhang… - Frontiers in …, 2022 - frontiersin.org
ERA5 is the fifth-generation atmospheric reanalysis of the European Center for Medium-
Range Weather Forecasts, with high spatiotemporal resolution and global coverage.
However, the reliability of ERA5 for simulating extreme precipitation events is still unclear
over China. In this study, 12 extreme precipitation indices and a comprehensive quantitative
distance between indices of simulation and observation were used to evaluate ERA5
precipitation from three fundamental aspects: intensity, frequency, and duration. The …
Range Weather Forecasts, with high spatiotemporal resolution and global coverage.
However, the reliability of ERA5 for simulating extreme precipitation events is still unclear
over China. In this study, 12 extreme precipitation indices and a comprehensive quantitative
distance between indices of simulation and observation were used to evaluate ERA5
precipitation from three fundamental aspects: intensity, frequency, and duration. The …
[HTML][HTML] How well does the ERA5 reanalysis capture the extreme climate events over China? Part II: Extreme temperature
W Xu, X Lei, S Chen, T Yu, Z Hu, M Zhang… - Frontiers in …, 2022 - frontiersin.org
The fifth-generation atmospheric reanalysis of the European Center for Medium-Range
Weather Forecasts (ERA5) is the latest reanalysis product. ERA5 has wider assimilation
data sources, greater spatial-temporal resolution, and more advanced four-dimensional
variational analysis (4DVAR) than those of other reanalysis products. However, the
applicability of ERA5 datasets requires further validation in China. Hence, ERA5 and
conventional observation data for 1979–2020 were used to evaluate the credibility of ERA5 …
Weather Forecasts (ERA5) is the latest reanalysis product. ERA5 has wider assimilation
data sources, greater spatial-temporal resolution, and more advanced four-dimensional
variational analysis (4DVAR) than those of other reanalysis products. However, the
applicability of ERA5 datasets requires further validation in China. Hence, ERA5 and
conventional observation data for 1979–2020 were used to evaluate the credibility of ERA5 …
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