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An assessment of oceanic variability in the NCEP climate forecast system reanalysis

机译:NCEP气候预报系统再分析中的海洋变化评估

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At the National Centers for Environmental Prediction (NCEP), a reanalysis of the atmosphere, ocean, sea ice and land over the period 1979-2009, referred to as the climate forecast system reanalysis (CFSR), was recently completed. The oceanic component of CFSR includes many advances: (a) the MOM4 ocean model with an interactive sea-ice, (b) the 6 h coupled model forecast as the first guess, (c) inclusion of the mean climatological river runoff, and (d) high spatial (0.5° × 0.5°) and temporal (hourly) model outputs. Since the CFSR will be used by many in initializing/validating ocean models and climate research, the primary motivation of the paper is to inform the user community about the saline features in the CFSR ocean component, and how the ocean reanalysis compares with in situ observations and previous reanalysis. The net ocean surface heat flux of the CFSR has smaller biases compared to the sum of the latent and sensible heat fluxes from the objectively analyzed air-sea fluxes (OA-Flux) and the shortwave and longwave radiation fluxes from the International Satellite Cloud Climatology Project (ISCCP-FD) than the NCEP/NCAR reanalysis (Rl) and NCEP/DOE reanalysis (R2) in both the tropics and extra-tropics. The ocean surface wind stress of the CFSR has smaller biases and higher correlation with the ERA40 produced by the European Centre for Medium-Range Weather Forecasts than the Rl and R2, particularly in the tropical Indian and Pacific Ocean. The CFSR also has smaller errors compared to the QuickSCAT climatology for September 1999 to October 2009 than the Rl and R2. However, the trade winds of the CFSR in the central equatorial Pacific are too strong prior to 1999, and become close to observations once the ATOVS radiance data are assimilated in late 1998. A sudden reduction of easterly wind bias is related to the sudden onset of a warm bias in the eastern equatorial Pacific temperature around 1998/ 1999. The sea surface height and top 300 m heat content (HC300) of the CFSR compare with observations better than the GODAS in the tropical Indian Ocean and extra-tropics, but much worse in the tropical Atlantic, probably due to discontinuity in the deep ocean temperature and salinity caused by the six data streams of the CFSR. In terms of climate variability, the CFSR provides a good simulation of tropical instability waves and oceanic Kelvin waves in the tropical Pacific, and the dominant modes of HC300 that are associated with El Nino and Southern Oscillation, Indian Ocean Dipole, Pacific Decadal Oscillation and Atlantic Meridional Overturning Circulation.
机译:在国家环境预测中心(NCEP)上,最近完成了对1979-2009年期间大气,海洋,海冰和陆地的重新分析,称为气候预测系统重新分析(CFSR)。 CFSR的海洋成分包括许多进步:(a)具有交互式海冰的MOM4海洋模型,(b)首次预报的6 h耦合模型预报,(c)包括平均气候河流径流量,以及( d)高空间(0.5°×0.5°)和时间(每小时)模型输出。由于CFSR将被许多人用于初始化/验证海洋模型和气候研究,因此本文的主要动机是向用户提供有关CFSR海洋成分中盐分特征的信息,以及如何将海洋再分析与原位观测进行比较和以前的重新分析。与客观分析的海气通量(OA-Flux)和国际卫星云气候学项目的短波和长波辐射通量之和相比,CFSR的净海洋表面热通量具有较小的偏差。 (ISCCP-FD)高于热带和热带地区的NCEP / NCAR再分析(R1)和NCEP / DOE再分析(R2)。与R1和R2相比,CFSR的海洋表面风应力与欧洲中距离天气预报中心产生的ERA40具有较小的偏差和较高的相关性,特别是在热带印度洋和太平洋中。与1999年9月至2009年10月的QuickSCAT气候相比,CFSR的误差小于R1和R2。但是,赤道中部太平洋地区CFSR的贸易风在1999年之前太强,一旦ATOVS辐射率数据在1998年末被吸收后就变得与观测值接近。东风偏向的突然减小与该现象的突然发作有关。在1998/1999年左右,赤道东太平洋温度出现了暖偏。CFSR的海面高度和最高300 m热量(HC300)与热带印度洋和温带热带地区的GODAS观测值相比要好,但差得多在热带大西洋,可能是由于深海温度和盐度的不连续性,这是由CFSR的六个数据流引起的。在气候变化方面,CFSR很好地模拟了热带太平洋中的热带不稳定波和开尔文海浪,以及与厄尔尼诺现象和南部涛动,印度洋偶极子,太平洋年代际涛动和大西洋有关的HC300的主要模式。经络翻转循环。

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  • 来源
    《Climate dynamics》 |2011年第12期|p.2511-2539|共29页
  • 作者单位

    Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746, USA;

    Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746, USA,Wyle Information System, Camp Springs, MD, USA;

    Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746, USA;

    Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746, USA;

    Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746, USA,Wyle Information System, Camp Springs, MD, USA;

    Environmental Modeling Center, NCEP/NOAA, Camp Springs, MD, USA;

    Environmental Modeling Center, NCEP/NOAA, Camp Springs, MD, USA;

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