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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >Evaluation of near-surface air temperature and specific humidity from hybrid global products and their impact on latent heat flux in the North Indian Ocean
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Evaluation of near-surface air temperature and specific humidity from hybrid global products and their impact on latent heat flux in the North Indian Ocean

机译:评价混合全球产品的近地表温度和比湿度及其对北印度洋潜热通量的影响

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[1] Daily near-surface air temperature (Ta) and specific humidity (Qa) from three hybrid flux products, namely, Coordinated Ocean-Ice Reference Experiments version II (CORE-II), Objectively Analyzed Air-Sea Fluxes (OAFlux), and Air-Sea Fluxes for the Global Tropical Oceans (TropFlux), are evaluated using in situ data over the North Indian Ocean. The analysis shows that the root-mean-square error (RMSE) value of Ta is ~0.5°C for all products. TropFlux captures the daily variability of Ta very well, but it has a systematic deviation in Ta. The large drop in Ta observed during intense rainfall events is very well captured by TropFlux. All products overestimate Qa by 0.3-1.5 g/kg; OAFlux has the smallest systematic deviation, whereas TropFlux has the highest correlation with buoy data. The overestimation of Qa by the products is mainly caused by high values of Qa, in the range of 18-22 g/kg. The RMSE of Qa ranges from 0.92 to 1.79 g/kg, with OAFlux having the lowest values. Latent heat flux (LHF) computed from a bulk algorithm is underestimated by all products, which can be primarily attributed to the positive bias in Qa. In the southern Bay of Bengal, LHF decreases with increasing Qa during winter and summer monsoons. In this region, a change in 1 g/kg Qa can cause about 11-15 W/m errors in LHF. The air-sea humidity difference is linearly related to sea surface temperature for values greater than 28°C, similar to findings for the western Pacific Ocean.
机译:[1]来自三种混合通量产品的每日近地表空气温度(Ta)和比湿度(Qa),即协调的第二次海洋冰参考实验(CORE-II),客观分析的海气通量(OAFlux),使用北印度洋的原位数据评估了全球热带海洋的通量和海通量(TropFlux)。分析表明,所有产品的Ta均方根误差(RMSE)值均为〜0.5°C。 TropFlux很好地捕获了Ta的每日变化,但是Ta的系统偏差。 TropFlux很好地捕获了在强降雨事件中观察到的Ta的大幅度下降。所有产品均高估了Qa 0.3-1.5 g / kg; OAFlux具有最小的系统偏差,而TropFlux与浮标数据具有最高的相关性。产品对Qa的高估主要是由于Qa值较高,范围在18-22 g / kg。 Qa的RMSE为0.92至1.79 g / kg,其中OAFlux值最低。所有产品均低估了通过批量算法计算出的潜热通量(LHF),这主要归因于Qa的正偏差。在孟加拉湾南部,冬季和夏季季风期间,LHF随着Qa的增加而降低。在这个区域,Qa的变化为1 g / kg会导致LHF的误差约为11-15 W / m。对于大于28°C的值,空气与海洋的湿度差与海表温度成线性关系,类似于西太平洋的发现。

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