The impact of water turbidity on interannual sea surface temperature simulations in a layered global ocean model

被引:0
|
作者
Kara, AB
Hurlburt, HE
Rochford, PA
O'Brien, JJ
机构
[1] USN, Res Lab, Stennis Space Ctr, MS 39529 USA
[2] Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA
关键词
D O I
10.1175/1520-0485(2004)034<0345:TIOWTO>2.0.CO;2
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
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). 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 (k(PAR)). 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 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 0.4degreesC and reduces the rmse at 11 of the 12 buoy locations. Although using spatially and temporally varying k(PAR) versus a constant k(PAR) 5 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.
引用
收藏
页码:345 / 359
页数:15
相关论文
共 50 条
  • [41] Coupling between interannual fluctuations of the sea surface temperature and zooplankton biomass in the tropical Atlantic Ocean
    Eremeev, V.N.
    Jukov, A.N.
    Piontkovski, S.A.
    Sizov, A.A.
    International Journal of Environmental Studies, 2009, 66 (05): : 539 - 546
  • [42] Interannual variability of sea surface temperature off Java']Java and Sumatra in a global GCM
    Du, Yan
    Qu, Tangdong
    Meyers, Gary
    JOURNAL OF CLIMATE, 2008, 21 (11) : 2451 - 2465
  • [43] Interannual variability of water temperature in the Chukchi Sea
    Luchin, VA
    Semiletov, IP
    DOKLADY EARTH SCIENCES, 2005, 405 (09) : 1419 - 1422
  • [44] Impact of global sea surface temperature on summer and winter temperatures in Europe in a set of seasonal ensemble simulations
    Feddersen, H
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2000, 126 (567) : 2089 - 2109
  • [45] Impact of satellite-derived forcings on numerical ocean model simulations and study of sea surface salinity variations in the Indian Ocean
    Sharma, Rashmi
    Agarwal, Neeraj
    Basu, Sujit
    Agarwal, Vijay K.
    JOURNAL OF CLIMATE, 2007, 20 (05) : 871 - 890
  • [46] Multistatistics metric evaluation of ocean general circulation model sea surface temperature: Application to 0.08° Pacific Hybrid Coordinate Ocean Model simulations
    Kara, A. B.
    Metzger, E. J.
    Hurlburt, H. E.
    Wallcraft, A. J.
    Chassignet, E. P.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2008, 113 (C12)
  • [47] The interannual impact of the North Atlantic sea surface temperature on the surface air temperature over southern China in February
    Zhang, Chengyang
    Zheng, Zhihai
    Qiao, Shaobo
    Lai, Sheng
    He, Liyang
    Chen, Sirong
    Lu, Hong
    He, Hui
    Qin, Weijian
    Yang, Song
    CLIMATE DYNAMICS, 2023, 61 (9-10) : 4849 - 4865
  • [48] The interannual impact of the North Atlantic sea surface temperature on the surface air temperature over southern China in February
    Chengyang Zhang
    Zhihai Zheng
    Shaobo Qiao
    Sheng Lai
    Liyang He
    Sirong Chen
    Hong Lu
    Hui He
    Weijian Qin
    Song Yang
    Climate Dynamics, 2023, 61 : 4849 - 4865
  • [49] Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea
    Goodkin, Nathalie F.
    Wang, Bo-Shian
    You, Chen-Feng
    Hughen, Konrad A.
    Grumet-Prouty, Nancy
    Bates, Nicholas R.
    Doney, Scott C.
    GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (12) : 4931 - 4939
  • [50] Sensitivity of sea ice and ocean simulations to sea ice salinity in a coupled global climate model
    JiPing Liu
    Science China Earth Sciences, 2010, 53 : 911 - 918