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Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System
Journal of Advances in Modeling Earth Systems ( IF 6.8 ) Pub Date : 2020-04-21 , DOI: 10.1029/2019ms002006
James A. Ridout 1 , Neil P. Barton 1 , Matthew A. Janiga 1 , Carolyn A. Reynolds 1 , Jackie C. May 2 , Clark Rowley 2 , Craig H. Bishop 3
Affiliation  

A simple parameter nudging procedure is described that systematically reduces near‐analysis time errors in the surface net shortwave flux in the Navy ESPC (Earth System Prediction Capability) system, a global coupled forecast system that is the product of a continuing development effort at the U. S. Naval Research Laboratory. The procedure generates geographically varying perturbations to one of the cloud fraction parameters in the atmospheric model component of the system during the data assimilation cycle, resulting in large improvements in near‐analysis time surface net shortwave flux biases. After a several week spin‐up period, the global RMSE of the succeeding 10‐day mean bias computed for lead times of 6–12 hours is reduced by 40 percent. Results from application of the approach in a series of 45‐day integrations show that improvements are realized at longer forecast lead times as well. The global RMSE of the surface net shortwave flux averaged over these integrations improves by 37 percent for lead times from 1–5 days, decreasing to 18 percent for lead times from 31–45 days. The corresponding longwave flux errors are slightly degraded, ranging from a 2 percent increase for lead times from 1–5 days to a 0.5 percent increase for lead times from 31–45 days. Global‐mean reductions in ground and sea surface temperature errors are obtained through most of the 45‐day integration period due to improvements over ocean and polar regions. Potential steps for extension and operational application of the method are discussed.

中文翻译:

全球耦合预报系统中区域变化云分数参数推导减少地表辐射通量偏差

描述了一种简单的参数微调程序,该程序可系统地减少美国海军ESPC(地球系统预测能力)系统中地表净短波通量的近分析时间误差,这是一种全球耦合的预测系统,是美国持续发展努力的产物海军研究实验室。该过程在数据同化周期期间对系统的大气模型组件中的云成分参数之一产生地理上变化的扰动,从而大大改善了近分析时间表面净短波通量偏差。经过数周的分拆期后,为6-12小时的交货期计算的后续10天平均偏差的总体RMSE降低了40%。该方法在一系列为期45天的集成中的应用结果表明,在更长的预测交货时间上也可以实现改进。在这些积分中平均得到的表面净短波通量的全球RMSE,交货时间从1-5天提高了37%,交货时间从31-45天降低了18%。相应的长波通量误差略有降低,范围从1-5天的交货时间增加了2%,到31-45天的交货时间增加了0.5%。由于海洋和极地地区的改善,在整个45天的大部分时间内,地面和海表温度误差的全球平均减少量得以实现。讨论了该方法的扩展和操作应用的潜在步骤。在这些积分中平均得到的表面净短波通量的全球RMSE,交货时间从1-5天提高了37%,交货时间从31-45天降低了18%。相应的长波通量误差略有降低,范围从1-5天的交货时间增加了2%,到31-45天的交货时间增加了0.5%。由于海洋和极地地区的改善,在整个45天的大部分时间内,地面和海表温度误差的全球平均减少量得以实现。讨论了该方法的扩展和操作应用的潜在步骤。在这些积分中平均得到的表面净短波通量的全球RMSE,交货时间从1-5天提高了37%,交货时间从31-45天降低了18%。相应的长波通量误差略有降低,范围从1-5天的交货时间增加了2%,到31-45天的交货时间增加了0.5%。由于海洋和极地地区的改善,在整个45天的大部分时间内,地面和海表温度误差的全球平均减少量得以实现。讨论了该方法的扩展和操作应用的潜在步骤。相应的长波通量误差略有降低,范围从1-5天的交货时间增加了2%,到31-45天的交货时间增加了0.5%。由于海洋和极地地区的改善,在整个45天的大部分时间内,地面和海表温度误差的全球平均减少量得以实现。讨论了该方法的扩展和操作应用的潜在步骤。相应的长波通量误差略有降低,范围从1-5天的交货时间增加了2%,到31-45天的交货时间增加了0.5%。由于海洋和极地地区的改善,在整个45天的大部分时间内,地面和海表温度误差的全球平均减少量得以实现。讨论了该方法的扩展和操作应用的潜在步骤。
更新日期:2020-04-21
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