American Meteorological Society;Boston: American Meteorological Society
摘要:
摘要： The nonlocal excess phase observation operator for assimilating the global positioning system (GPS) radio occultation (RO) sounding data has been proven by some research papers to produce significantly better analyses for numerical weather prediction (NWP) compared to the local refractivity observation operator. However, the high computational cost and the difficulties in parallelization associated with the nonlocal GPS RO operator deter its application in research and operational NWP practices. In this article, two strategies are designed and implemented in the data assimilation system for the Weather Research and Forecasting Model to demonstrate the capability of parallel assimilation of GPS RO profiles with the nonlocal excess phase observation operator. In particular, to solve the parallel load imbalance problem due to the uneven geographic distribution of the GPS RO observations, round-robin scheduling is adopted to distribute GPS RO observations among the processing cores to balance the workload. The wall clock time required to complete a five-iteration minimization on a demonstration Antarctic case with 106 GPS RO observations is reduced from more than 3.5 h with a single processing core to 2.5 min with 106 processing cores. These strategies present the possibility of application of the nonlocal GPS RO excess phase observation operator in operational data assimilation systems with a cutoff time limit. 出版者： Boston: American Meteorological Society 出版日期： 2014-09-01 出處： Journal of atmospheric and oceanic technology, 2014-09, Vol.31 (9), p.2008-2014 資源來源： EBSCOhost OmniFile Full Text Select 版權： Copyright American Meteorological Society Sep 2014 版權： Copyright American Meteorological Society 2014 識別號： ISSN: 0739-0572 識別號： ISSN: 1520-0426 識別號： EISSN: 1520-0426 識別號： DOI: 10.1175/JTECH-D-13-00195.1
