Quick Search:       Advanced Search
ZHANG Lei,SHI Hanqing. 2017. An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products. Acta Oceanologica Sinica, 36(9):27-38
An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products
基于浮标、NCEP2及OAFlux产品的新海表感热和潜热通量对比分析
Received:March 17, 2016  
DOI:10.1007/s13131-017-1108-x
Key words:latent and sensible heat fluxes  WindSat  ECMWF reanalysis data  OAFlux
中文关键词:  感热与潜热通量  WindSat  ECMWF再分析数据  OAFlux
基金项目:The National Natural Science Foundation of China under contract No. 41576171.
Author NameAffiliationE-mail
ZHANG Lei Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China zlei_best@hotmail.com 
SHI Hanqing Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China  
Hits: 2482
Download times: 1805
Abstract:
      New satellite-derived latent and sensible heat fluxes are performed by using WindSat wind speed, WindSat sea surface temperature, the European Centre for Medium-range Weather Forecasting (ECMWF) air humidity, and ECMWF air temperature from 2004 to 2014. The 55 moored buoys are used to validate them by using the 30 min and 25 km collocation window. Furthermore, the objectively analyzed air-sea heat fluxes (OAFlux) products and the National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis 2 (NCEP2) products are also used for global comparisons. The mean biases of sensible and latent heat fluxes between WindSat flux results and buoy flux data are -0.39 and -8.09 W/m2, respectively. In addition, the root-mean-square (RMS) errors of the sensible and latent heat fluxes between them are 5.53 and 24.69 W/m2, respectively. The RMS errors of sensible and latent heat fluxes are observed to gradually increase with an increasing buoy wind speed. The difference shows different characteristics with an increasing sea surface temperature, air humidity, and air temperature. The zonal average latent fluxes have some high regions which are mainly located in the trade wind zones where strong winds carry dry air in January, and the maximum value centers are found in the eastern waters of Japan and on the US east coast. Overall, the seasonal variability is pronounced in the Indian Ocean, the Pacific Ocean, and the Atlantic Ocean. The three sensible and latent heat fluxes have similar latitudinal dependencies; however, some differences are found in some local regions.
中文摘要:
      利用全极化微波辐射计WindSat的海表面温度、风速产品以及欧洲数值预报中心(ECMWF)提供的海表空气温度及湿度数据,基于COARE 3.0算法,形成了一个新的海表面感热和潜热通量数据集。利用海面固定浮标计算结果、NCEP2及OAFlux提供的海表热通量产品对其进行了对比分析。研究结果表明:基于WindSat和ECMWF环境参数计算得到的海表感热和潜热通量与浮标的计算结果相比,其平均偏差分别为-0.39 W/m2 and -8.09 W/m2;此外,其均方根误差分别为5.53 W/m2 and 24.69 W/m2,并且在一定范围内,随着浮标风速的增加,均方根误差也随之增大。误差随其他环境要素(如海表面温度、空气湿度及空气温度)的变化呈现出不同的特征。潜热通量空间变化大,在北半球的冬季,受冬季风等因素的影响,潜热通量的高值区分布在湾流区,主要位于日本的东部海域及美国的东海岸。在印度洋、太平洋以及大西洋海域,潜热和感热通量的季节变化是明显的。基于WindSat和ECMWF环境参数计算得到的海表感热和潜热通量与NCEP2和OAFlux产品有着类似的纬向平均分布,局部区域存在着一定的偏差。
HTML View Full Text   View/Add Comment  Download reader
Close