An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products

ZHANG Lei; SHI Hanqing

doi:10.1007/s13131-017-1108-x

基于浮标、NCEP2及OAFlux产品的新海表感热和潜热通量对比分析

doi: 10.1007/s13131-017-1108-x

张雷,
石汉青

解放军理工大学气象海洋学院, 南京, 211101

基金项目: The National Natural Science Foundation of China under contract No. 41576171.

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- 收稿日期: 2016-03-17

An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products

Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China

摘要

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。
- 感热与潜热通量 /
- WindSat /
- ECMWF再分析数据 /
- OAFlux
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.
- latent and sensible heat fluxes /
- WindSat /
- ECMWF reanalysis data /
- OAFlux

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参考文献(34)

Andersson A, Fennig K, Klepp C, et al.. 2010. The Hamburg ocean atmosphere parameters and fluxes from satellite data-HOAPS-3. Earth Syst Sci Data, 2(2):215-234

Andersson A, Klepp C, Fennig K, et al.. 2011. Evaluation of HOAPS-3 ocean surface freshwater flux components. J Appl Meteor Climatol, 50(2):379-398

Ayina L H, Bentamy A, Mestas-Nuñez A M, et al.. 2006. The impact of satellite winds and latent heat fluxes in a numerical simulation of the tropical Pacific Ocean. J Climate, 19(22):5889-5902

Bourras D.. 2006. Comparison of five satellite-derived latent heat flux products to moored buoy data. J Climate, 19(24):6291-6313

Bradley E F, Fairall C W, Hare J E, et al. 2000. An old and improved bulk algorithm for air-sea fluxes:COARE2.6a. In:AMS 14th Symposium on Boundary Layer and Turbulence. Aspen, CO:Amer Meteor Soc, 294–296

Brunke M A, Fairall C W, Zeng Xubin, et al.. 2003. Which bulk aerodynamic algorithms are least problematic in computing ocean surface turbulent fluxes?. J Climate, 16(4):619-635

Castro S L, Wick G A, Emery W J.. 2012. Evaluation of the relative performance of sea surface temperature measurements from different types of drifting and moored buoys using satellite-derived reference products. J Geophys Res, 117(C2), doi: 10.1029/2011JC007472

Chou S H, Nelkin E, Ardizzone J, et al.. 2003. Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retrievals, version 2 (GSSTF2). J Climate, 16(20):3256-3273

Chou S H, Shie C L, Atlas R M, et al.. 1997. Air-sea fluxes retrieved from special sensor microwave imager data. J Geophys Res, 102(C6):12706-12726

Fairall C W, Bradley E F, Hare J E, et al.. 2003. Bulk parameterization of air-sea fluxes:updates and verification for the COARE algorithm. J Climate, 16(4):571-591

Fairall C W, Bradley E F, Rogers D P, et al.. 1996. Bulk parameterization of air-sea fluxes for tropical ocean-global atmosphere coupled-ocean atmosphere response experiment. J Geophys Res, 101(C2):3747-3764

Fairall C W, White A B, Edson J B, et al.. 1997. Integrated shipboard measurements of the marine boundary layer. J Atmos Oceanic Technol, 14(3):338-359

Freilich M H, Long D G, Spencer M W. 1994. SeaWinds:A scanning scatterometer for ADEOS Ⅱ-Science overview. Proc Int Geosci Remote Sens Symp, Vol Ⅱ. Pasadena, CA:IEEE, No. 94CH3378-7, 960–963

Gaiser P W, St Germain K M, Twarog E M, et al.. 2004. The WindSat spaceborne polarimetric microwave radiometer:sensor description and early orbit performance. IEEE Trans Geosci Remote Sens, 42(11):2347-2361

Godfrey J S, Houze R A Jr, Johnson R H, et al.. 1998. Coupled ocean-atmosphere response experiment (COARE):an interim report. J Geophys Res, 103(C7):14395-14450

Jiang Chuanli, Cronin M F, Kelly K A, et al.. 2005. Evaluation of a hybrid satellite-and NWP-based turbulent heat flux product using tropical Atmosphere-Ocean (TAO) buoys. J Geophys Res, 110(C9), doi: 10.1029/2004JC002824

Kubota M, Iwasaka N, Kizu S, et al.. 2002. Japanese ocean flux data sets with use of remote sensing observations (J-OFURO). J Oceanogr, 58(1):213-225

McPhaden M J, Busalacchi A J, Cheney R, et al.. 1998. The tropical ocean-global atmosphere observing system:a decade of progress. J Geophys Res, 103(C7):14169-14240

Mestas-Nuñez A M, Bentamy A, Katsaros K B.. 2006. Seasonal and El Niño variability in weekly satellite evaporation over the global ocean during 1996-98. J Climate, 19(10):2025-2035

Raschke E, Meywerk J, Warrach K, et al.. 2001. The Baltic Sea experiment (BALTEX):a European contribution to the investigation of the energy and water cycle over a large drainage basin. Bull Amer Meteor Soc, 82(11):2389-2413

Reynolds R W, Rayner N A, Smith T M, et al.. 2002. An improved in situ and satellite SST analysis for climate. J Climate, 15(13):1609-1625

Reynolds R W, Smith T M, Liu Chunying, et al.. 2007. Daily high-resolution-blended analyses for sea surface temperature. J Climate, 20(22):5473-5496

Smith S R, Legler D M, Verzone K V.. 2001. Quantifying uncertainties in NCEP reanalyses using high-quality research vessel observations. J Climate, 14(20):4062-4072

Sun Bomin, Yu Lisan, Weller R A.. 2003. Comparisons of surface meteorology and turbulent heat fluxes over the Atlantic:NWP model analyses versus moored buoy observations. J Climate, 16(4):679-695

Wang Dongxiao, Zeng Lili, Li Xixi, et al.. 2013. Validation of satellite-derived daily latent heat flux over the South China Sea, compared with observations and five products. J Atmos Oceanic Technol, 30(8):1820-1832

Webster P J, Lukas R.. 1992. TOGA COARE:the coupled ocean-atmosphere response experiment. Bull Amer Meteor Soc, 73(9):1377-1416

Wentz F J.. 1997. A well-calibrated ocean algorithm for special sensor microwave/imager. J Geophys Res, 102(C4):8703-8718

Wentz F J, Meissner T. 2000. Algorithm theoretical basis document (ATBD) version 2 AMSR ocean algorithm. Remote Sensing Systems Technical Report RSS 121599A.

Yu Lisan, Jin Xiangze, Weller R A.. 2006. Role of net surface heat flux in seasonal variations of sea surface temperature in the tropical Atlantic Ocean. J Climate, 19(23):6153-6169

Yu Lisan, Jin Xiangze, Weller R A. 2008. Multidecade global flux datasets from the objectively analyzed air-sea fluxes (OAFlux) project:latent and sensible heat fluxes, ocean evaporation, and related surface meteorological variables. OAFlux Project Tech Rep OA-2008-01.

Zhang Lei, Shi Hanqing, Du Huadong, et al.. 2016a. Comparison of WindSat and buoy-measured ocean products from 2004 to 2013. Acta Oceanologica Sinica, 35(1):67-78

Zhang Lei, Shi Hanqing, Yu Hong, et al.. 2016b. WindSat satellite comparisons with nearshore buoy wind data near the U.S. west and east coasts. Acta Oceanologica Sinica, 35(7):50-58

Zeng Lili, Shi Ping, Liu W T, et al.. 2009. Evaluation of a satellite-derived latent heat flux product in the South China Sea:a comparison with moored buoy data and various products. Atmos Res, 94(1):91-105

Zeng Xubin, Zhao Ming, Dickinson R E.. 1998. Intercomparison of bulk aerodynamic algorithms for the computation of sea surface fluxes using TOGA COARE and TAO data. J Climate, 11(10):2628-2644

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基于浮标、NCEP2及OAFlux产品的新海表感热和潜热通量对比分析

doi: 10.1007/s13131-017-1108-x

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出版历程

An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products

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出版历程

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