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    The Impact of Water Turbidity on Interannual Sea Surface Temperature Simulations in a Layered Global Ocean Model

    Source: Journal of Physical Oceanography:;2004:;Volume( 034 ):;issue: 002::page 345
    Author:
    Kara, A. Birol
    ,
    Hurlburt, Harley E.
    ,
    Rochford, Peter A.
    ,
    O'Brien, James J.
    DOI: 10.1175/1520-0485(2004)034<0345:TIOWTO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: 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 (k490) obtained by the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS). Interannual 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 (kPAR). It 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 kPAR 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°C and reduces the rmse at 11 of the 12 buoy locations. Although using spatially and temporally varying kPAR versus a constant kPAR = 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 kPAR value used.
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      The Impact of Water Turbidity on Interannual Sea Surface Temperature Simulations in a Layered Global Ocean Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4167307
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    contributor authorKara, A. Birol
    contributor authorHurlburt, Harley E.
    contributor authorRochford, Peter A.
    contributor authorO'Brien, James J.
    date accessioned2017-06-09T14:56:13Z
    date available2017-06-09T14:56:13Z
    date copyright2004/02/01
    date issued2004
    identifier issn0022-3670
    identifier otherams-30014.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4167307
    description abstractThe 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 (k490) obtained by the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS). Interannual 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 (kPAR). It 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 kPAR 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°C and reduces the rmse at 11 of the 12 buoy locations. Although using spatially and temporally varying kPAR versus a constant kPAR = 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 kPAR value used.
    publisherAmerican Meteorological Society
    titleThe Impact of Water Turbidity on Interannual Sea Surface Temperature Simulations in a Layered Global Ocean Model
    typeJournal Paper
    journal volume34
    journal issue2
    journal titleJournal of Physical Oceanography
    identifier doi10.1175/1520-0485(2004)034<0345:TIOWTO>2.0.CO;2
    journal fristpage345
    journal lastpage359
    treeJournal of Physical Oceanography:;2004:;Volume( 034 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian