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An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products 被引量:1
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作者 ZHANG Lei SHI Hanqing 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2017年第9期27-38,共12页
New satellite-derived latent and sensible heat fluxes are performed by using Wind Sat wind speed, Wind Sat sea surface temperature, the European Centre for Medium-range Weather Forecasting(ECMWF) air humidity, and E... New satellite-derived latent and sensible heat fluxes are performed by using Wind Sat wind speed, Wind Sat 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 Wind Sat flux results and buoy flux data are –0.39 and –8.09 W/m^2, respectively. In addition, the rootmean-square(RMS) errors of the sensible and latent heat fluxes between them are 5.53 and 24.69 W/m^2,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. 展开更多
关键词 latent and sensible heat fluxes WindSat ecmwf reanalysis data OAFlux
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The long-term trend of the sea surface wind speed and the wave height (wind wave, swell, mixed wave) in global ocean during the last 44 a 被引量:24
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作者 ZHENG Chongwei ZHOU Lin +3 位作者 HUANG Chaofan SHI Yinglong LI Jiaxun LI Jing 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2013年第10期1-4,共4页
Utilizing the 45 a European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis wave da- ta (ERA-40), the long-term trend of the sea surface wind speed and (wind wave, swell, mixed wave) wave height in ... Utilizing the 45 a European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis wave da- ta (ERA-40), the long-term trend of the sea surface wind speed and (wind wave, swell, mixed wave) wave height in the global ocean at grid point 1.5°× 1.5° during the last 44 a is analyzed. It is discovered that a ma- jority of global ocean swell wave height exhibits a significant linear increasing trend (2-8 cm/decade), the distribution of annual linear trend of the significant wave height (SWH) has good consistency with that of the swell wave height. The sea surface wind speed shows an annually linear increasing trend mainly con- centrated in the most waters of Southern Hemisphere westerlies, high latitude of the North Pacific, Indian Ocean north of 30°S, the waters near the western equatorial Pacific and low latitudes of the Atlantic waters, and the annually linear decreasing mainly in central and eastern equator of the Pacific, Juan. Fernandez Archipelago, the waters near South Georgia Island in the Atlantic waters. The linear variational distribution characteristic of the wind wave height is similar to that of the sea surface wind speed. Another find is that the swell is dominant in the mixed wave, the swell index in the central ocean is generally greater than that in the offshore, and the swell index in the eastern ocean coast is greater than that in the western ocean inshore, and in year-round hemisphere westerlies the swell index is relatively low. 展开更多
关键词 ecmwf reanalysis wave data wind wave SWELL mixed wave long-term trend swell index
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