This study uses ECMWF fifth-generation reanalysis, ERA5, which extends to the mesopause, to construct the Initial Conditions(IC) for WACCM(Whole Atmosphere Community Climate Model) simulations. Because the biases betw...This study uses ECMWF fifth-generation reanalysis, ERA5, which extends to the mesopause, to construct the Initial Conditions(IC) for WACCM(Whole Atmosphere Community Climate Model) simulations. Because the biases between ERA5 and Sounding of the Atmosphere using Broadband Emission Radiometry(SABER) temperature data are within ±5 K below the lower mesosphere,ERA5 reanalysis is used to construct IC in the lower atmosphere. Four experiments are performed to simulate a Stratospheric Sudden Warming(SSW) event from 5 to 15 February 2016. The simulation using the WACCM default climatic IC cannot represent the sharp meteorological variation during SSW. In contrast, the 0～4 d forecast results driven by ERA5-constructed IC is consistent with ERA5 reanalysis below the middle mesosphere. Comparing with WACCM climatology ICs scheme, the ICs constructing method based on ERA5 reanalysis can obtain 67%, 40%, 22%, 4% and 6% reduction of temperature forecast RMSE at 10 hPa, 1 hPa, 0.1 hPa, 0.01 hPa and 0.001 hPa respectively. However,such improvement is not shown in the lower thermosphere.展开更多
本文采用1979~2012年的中国沿海台站观测数据对ERA-Interim（简称＂ERA-I＂）的气温、气压和海温数据进行质量评估。结果表明：（1）从常年平均来看,ERA-I气温、气压和海温多年月平均变化与观测数据吻合较好,可以反映气候态的季节变化...本文采用1979~2012年的中国沿海台站观测数据对ERA-Interim（简称＂ERA-I＂）的气温、气压和海温数据进行质量评估。结果表明：（1）从常年平均来看,ERA-I气温、气压和海温多年月平均变化与观测数据吻合较好,可以反映气候态的季节变化特征。与台站观测数据相比,ERA-I气温平均偏高0.19℃,气压平均偏低0.17 h Pa,海温平均偏高0.70℃。（2）从年际变化情况来看,ERA-I和台站观测的气温、气压和海温变化趋势一致,气温和海温呈上升趋势,气压呈下降趋势。但在海南岛附近使用ERA-I气温做年际变化分析和在东海台湾海峡至北部湾沿岸使用ERA-I海温做年际变化趋势分析时要谨慎。（3）从月均变化分析来看,ERA-I月均气温、气压和海温数据与台站实测数据具有很好的一致性。从误差空间分布来看,ERA-I气温在黄海沿岸平均误差最小,ERA-I气压在渤海沿岸平均误差最小,ERA-I海温在南海沿岸平均误差最小。需要特别指出的是,ERA-I月均海温在渤海和台湾海峡附近沿岸平均误差较大（部分站均方根误差超过2.5℃）,在上述区域使用ERA-I海温数据时应考虑其产品偏差。展开更多
基金Supported by the National Natural Science Foundation of China(41375105)
文摘This study uses ECMWF fifth-generation reanalysis, ERA5, which extends to the mesopause, to construct the Initial Conditions(IC) for WACCM(Whole Atmosphere Community Climate Model) simulations. Because the biases between ERA5 and Sounding of the Atmosphere using Broadband Emission Radiometry(SABER) temperature data are within ±5 K below the lower mesosphere,ERA5 reanalysis is used to construct IC in the lower atmosphere. Four experiments are performed to simulate a Stratospheric Sudden Warming(SSW) event from 5 to 15 February 2016. The simulation using the WACCM default climatic IC cannot represent the sharp meteorological variation during SSW. In contrast, the 0～4 d forecast results driven by ERA5-constructed IC is consistent with ERA5 reanalysis below the middle mesosphere. Comparing with WACCM climatology ICs scheme, the ICs constructing method based on ERA5 reanalysis can obtain 67%, 40%, 22%, 4% and 6% reduction of temperature forecast RMSE at 10 hPa, 1 hPa, 0.1 hPa, 0.01 hPa and 0.001 hPa respectively. However,such improvement is not shown in the lower thermosphere.
文摘本文采用1979~2012年的中国沿海台站观测数据对ERA-Interim（简称＂ERA-I＂）的气温、气压和海温数据进行质量评估。结果表明：（1）从常年平均来看,ERA-I气温、气压和海温多年月平均变化与观测数据吻合较好,可以反映气候态的季节变化特征。与台站观测数据相比,ERA-I气温平均偏高0.19℃,气压平均偏低0.17 h Pa,海温平均偏高0.70℃。（2）从年际变化情况来看,ERA-I和台站观测的气温、气压和海温变化趋势一致,气温和海温呈上升趋势,气压呈下降趋势。但在海南岛附近使用ERA-I气温做年际变化分析和在东海台湾海峡至北部湾沿岸使用ERA-I海温做年际变化趋势分析时要谨慎。（3）从月均变化分析来看,ERA-I月均气温、气压和海温数据与台站实测数据具有很好的一致性。从误差空间分布来看,ERA-I气温在黄海沿岸平均误差最小,ERA-I气压在渤海沿岸平均误差最小,ERA-I海温在南海沿岸平均误差最小。需要特别指出的是,ERA-I月均海温在渤海和台湾海峡附近沿岸平均误差较大（部分站均方根误差超过2.5℃）,在上述区域使用ERA-I海温数据时应考虑其产品偏差。
