Assessment of model-simulated upper ocean biogeochemical dynamics of the Bay of Bengal

被引:15
作者
Chakraborty, Kunal [1 ]
Lotliker, Aneesh A. [1 ]
Majumder, Sudip [2 ,3 ]
Samanta, Alakes [1 ]
Baliarsingh, S. K. [1 ]
Ghosh, Jayashree [1 ]
Madhuri, P. P. [4 ]
Saravanakumar, A. [5 ]
Sarma, N. S. [6 ]
Rao, B. Srinivas [7 ]
Shanmugam, P. [8 ]
机构
[1] ESSO Indian Natl Ctr Ocean Informat Serv, Hyderabad, India
[2] Univ Miami, Cooperat Inst Marine & Atmospher Studies, Miami, FL USA
[3] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA
[4] Indian Inst Space Sci & Technol, Thiruvananthapuram, Kerala, India
[5] Annamalai Univ, Ctr Adv Studies Marine Biol, Parangipettai, Tamil Nadu, India
[6] Andhra Univ, Dept Phys & Nucl Chem & Chem Oceanog, Visakhapatnam, Andhra Pradesh, India
[7] Andhra Univ, Ctr Studies Bay Bengal, Visakhapatnam, Andhra Pradesh, India
[8] Indian Inst Technol Madras, Dept Ocean Engn, Chennai, Tamil Nadu, India
关键词
ROMS; Bay of Bengal; MODIS; Bio-Argo; Chlorophyll; OMZ; OXYGEN MINIMUM ZONE; BIOLOGICAL PRODUCTIVITY; SUMMER MONSOON; INDIAN-OCEAN; INTERANNUAL VARIABILITY; BULK PARAMETERIZATION; SEASONAL VARIABILITY; WESTERN BOUNDARY; MESOSCALE EDDIES; SURFACE SALINITY;
D O I
10.1016/j.seares.2019.01.001
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
The capability of a physical-biogeochemical model configured using Regional Ocean Modeling System (ROMS) in simulating upper ocean biogeochemical dynamics of the Bay of Bengal (BoB) is evaluated with available remote sensing and in situ observations. The accuracy of model-simulated and satellite (MODIS-Aqua) retrieved surface chlorophyll-a (chl-a) are individually assessed against in situ data, measured in surface waters of the western BoB, from March 2008 to November 2015. Model-simulated chl-a showed better correlation (R-2 = 0.80) with the in situ observations as compared to that retrieved from satellite (R-2 = 0.72). Although, the model underestimates chl-a (slope = 0.84), significant correlation proves its capability to reproduce the in situ trend. The root mean square error (RMSE) between model simulated and satellite retrieved chl-a against measured chl-a are 0.33 and 0.36, respectively. Additionally, a comparison with remote sensing time series data indicates that the model realistically simulates the seasonal variability of chl-a. Further, temperature, salinity, nitrate, chl-a and dissolved oxygen (DO) profiles obtained from two biogeochemical Argo floats deployed in the central BoB, are also compared with model-simulated profiles. In comparison, the model adequately simulates the observed subsurface variability of chl-a as well as persistent Deep Chlorophyll Maximum (DCM) at depths between 20 and 90 m having concentration 0.75-1.0 mg-m(-3) . The undulations in the subsurface spatial variability of chl-a are appreciably well captured by the model and comparable with the observations albeit the magnitude is overestimated in the model. It is noted that the temporal variability of the DCM and oxycline in the BoB is significantly influenced by the vertical movement of the thermocline.
引用
收藏
页码:63 / 76
页数:14
相关论文
共 76 条
[1]  
[Anonymous], SEAWIFS POSTLAUNCH 3
[2]  
[Anonymous], 2016, Atmosphere-Ocean Dynamics
[3]   Impact of the Indian Ocean Dipole on the relationship between the Indian monsoon rainfall and ENSO [J].
Ashok, K ;
Guan, ZY ;
Yamagata, T .
GEOPHYSICAL RESEARCH LETTERS, 2001, 28 (23) :4499-4502
[4]   Gridded surface wind fields from Metop/ASCAT measurements [J].
Bentamy, Abderrahim ;
Fillon, Denis Croize .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (06) :1729-1754
[5]  
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/ngeo2847, 10.1038/NGEO2847]
[6]   Comparison of algorithms for estimating ocean primary production from surface chlorophyll, temperature, and irradiance [J].
Campbell, J ;
Antoine, D ;
Armstrong, R ;
Arrigo, K ;
Balch, W ;
Barber, R ;
Behrenfeld, M ;
Bidigare, R ;
Bishop, J ;
Carr, ME ;
Esaias, W ;
Falkowski, P ;
Hoepffner, N ;
Iverson, R ;
Kiefer, D ;
Lohrenz, S ;
Marra, J ;
Morel, A ;
Ryan, J ;
Vedernikov, V ;
Waters, K ;
Yentsch, C ;
Yoder, J .
GLOBAL BIOGEOCHEMICAL CYCLES, 2002, 16 (03)
[7]   Dominant Biological Control Over Upwelling on pCO2 in Sea East of Sri Lanka [J].
Chakraborty, Kunal ;
Valsala, Vinu ;
Gupta, G. V. M. ;
Sarma, V. V. S. S. .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2018, 123 (10) :3250-3261
[8]   Getting the right wind-forcing for an ecosystem model: A case study from the eastern Arabian Sea [J].
Chakraborty, Kunal ;
Kumar, Nimit ;
Gupta, G. V. M. .
JOURNAL OF OPERATIONAL OCEANOGRAPHY, 2017, 10 (02) :176-190
[9]   Evaluation of model simulated and MODIS-Aqua retrieved sea surface chlorophyll in the eastern Arabian Sea [J].
Chakraborty, Kunal ;
Gupta, Anubhav ;
Lotliker, Aneesh A. ;
Tilstone, Gavin .
ESTUARINE COASTAL AND SHELF SCIENCE, 2016, 181 :61-69
[10]  
CHAPMAN DC, 1985, J PHYS OCEANOGR, V15, P1060, DOI 10.1175/1520-0485(1985)015<1060:NTOCSO>2.0.CO