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首页> 外文期刊>Journal of Physical Oceanography >The Impact of Water Turbidity on Interannual Sea Surface Temperature Simulations in a Layered Global Ocean Model
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The Impact of Water Turbidity on Interannual Sea Surface Temperature Simulations in a Layered Global Ocean Model

机译:分层全球海洋模型中水浊度对年际海表温度模拟的影响

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The Naval Research Laboratory (NRL) Layered Ocean Model (NLOM) with an embedded bulk-type mixed layer model is used to examine the effects of ocean turbidity on sea surface temperature (SST) and ocean mixed layer depth (MLD) simulations over the global ocean. The model accounts for ocean turbidity through depth-dependent attenuation of solar radiation in the mixed layer formulation as determined from the diffusive attenuation coefficient at 490 nm (k_(490)) obtained by the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS). Inter-annual model simulations are used to assess the first-order effects of ocean turbidity on SST and MLD simulation. Results are reported from three model experiments performed using different values for the attenuation of photosynthetically available radiation (k_(PAR)). ft is shown that, although allowing incoming solar radiation to vary in time and space is desirable for predicting SST, in an OGCM use of a constant k_(PAR) with a value of 0.06 m~(-1) is generally sufficient in the deep ocean. The daily averaged SST time series from the three NLOM simulations are verified against daily in situ SSTs reported from 12 moored buoys in 1996 and 1997. Model results show that allowing the possibility of solar heating below the mixed layer reduces the root-mean-square error (rmse) difference between the daily yearlong model and buoy SST time series by up to 0.4℃ and reduces the rmse at 11 of the 12 buoy locations. Although using spatially and temporally varying k_(PAR) versus a constant k_(PAR) = 0.06 m~(-1) (which is representative over most of the global ocean) had low impact overall, using it generally reduced the rmse at low latitudes, and using it can have a substantial impact locally in space and time. The model MLD results show low sensitivity to the k_(PAR) value used.
机译:海军研究实验室(NRL)分层海洋模型(NLOM)和嵌入式大体积混合层模型用于检查海洋浑浊度对全球海面温度(SST)和海洋混合层深度(MLD)模拟的影响海洋。该模型通过混合层配方中太阳辐射的深度相关衰减来解释海洋浊度,该衰减取决于由海景宽视场传感器(SeaWiFS)获得的490 nm的扩散衰减系数(k_(490))。 )。年际模型模拟用于评估海洋浊度对SST和MLD模拟的一阶效应。报告了三个模型实验的结果,这些实验使用不同的值进行了光合有效辐射(k_(PAR))的衰减。 ft表示,尽管允许入射的太阳辐射在时间和空间上变化是预测SST所希望的,但在OGCM中,通常使用深值为0.06 m〜(-1)的常数k_(PAR)就足够了海洋。根据1996年和1997年12个系泊浮标报告的每日原地SST,验证了来自三个NLOM模拟的日平均SST时间序列。模型结果表明,允许太阳加热到混合层以下的可能性降低了均方根误差全年的全年模型与浮标SST时间序列之间的(rmse)差异高达0.4℃,并降低了12个浮标位置中11个的rmse。尽管使用时空变化的k_(PAR)相对于常数k_(PAR)= 0.06 m〜(-1)(在全球大部分海洋中具有代表性)总体上影响很小,但使用它通常会降低低纬度的均方根值,并且使用它会对时空产生局部影响。 MLD模型的结果表明,对所使用的k_(PAR)值的敏感性较低。

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