The effect of seasonally and spatially varying chlorophyll on Bay of Bengal surface ocean properties and the South Asian monsoon
-
Published:2020-10-20
Issue:2
Volume:1
Page:635-655
-
ISSN:2698-4016
-
Container-title:Weather and Climate Dynamics
-
language:en
-
Short-container-title:Weather Clim. Dynam.
Author:
Giddings JackORCID, Matthews Adrian J.ORCID, Klingaman Nicholas P.ORCID, Heywood Karen J.ORCID, Joshi ManojORCID, Webber Benjamin G. M.ORCID
Abstract
Abstract. Chlorophyll absorbs solar radiation in the upper ocean, increasing the
mixed layer radiative heating and sea surface temperatures (SST). Although
the influence of chlorophyll distributions in the Arabian Sea on the
southwest monsoon has been demonstrated, there is a current knowledge gap regarding
how chlorophyll distributions in the Bay of Bengal influence the southwest
monsoon. The solar absorption caused by chlorophyll can be parameterized as
an optical parameter, h2, which expresses the scale depth of the absorption of blue light.
Seasonally and spatially varying h2 fields in the Bay of Bengal were
imposed in a 30-year simulation using an atmospheric general circulation
model coupled to a mixed layer thermodynamic ocean model in order to investigate the
effect of chlorophyll distributions on regional SST, the southwest monsoon
circulation, and precipitation. There are both direct local upper-ocean
effects, through changes in solar radiation absorption, and indirect remote
atmospheric responses. The depth of the mixed layer relative to the
perturbed solar penetration depths modulates the response of the SST to
chlorophyll. The largest SST response of 0.5 ∘C to chlorophyll
forcing occurs in coastal regions, where chlorophyll concentrations are high
(> 1 mg m−3), and when climatological mixed layer depths
shoal during the inter-monsoon periods. Precipitation increases significantly
(by up to 3 mm d−1) across coastal Myanmar during the southwest monsoon
onset and over northeast India and Bangladesh during the Autumn inter-monsoon
period, decreasing model biases.
Publisher
Copernicus GmbH
Reference81 articles.
1. Amol, P., Vinayachandran, P. N., Shankar, D., Thushara, V., Vijith, V.,
Chatterjee, A., and Kankonkar, A.: Effect of freshwater advection and winds
on the vertical structure of chlorophyll in the northern Bay of
Bengal, Deep-Sea Res. Pt. II,
https://doi.org/10.1016/j.dsr2.2019.07.010, 2019. 2. Bernie, D. J., Woolnough, S. J., Slingo, J. M., and Guilyardi, E.: Modeling
diurnal and intraseasonal variability of the ocean mixed layer, J.
Climate, 18, 1190–1202, https://doi.org/10.1175/JCLI3319.1, 2005. 3. Bernie, D. J., Guilyardi, E., Madec, G., Slingo, J. M., Woolnough, S. J.,
and Cole, J.: Impact of resolving the diurnal cycle in an ocean–atmosphere
GCM. Part 2: A diurnally coupled CGCM, Clim. Dynam., 31, 909–925,
https://doi.org/10.1007/s00382-008-0429-z, 2008. 4. Blondeau-Patissier, D., Gower, J. F., Dekker, A. G., Phinn, S. R., and
Brando, V. E.: A review of ocean color remote sensing methods and
statistical techniques for the detection, mapping and analysis of
phytoplankton blooms in coastal and open oceans, Prog.
Oceanogr., 123, 123–144, https://linkinghub.elsevier.com/retrieve/pii/
S0079661114000020, 2014. 5. Boss, E., Slade, W., and Hill, P.: Effect of particulate aggregation in
aquatic environments on the beam attenuation and its utility as a proxy for
particulate mass, Opt. Express, 17, 9408–9420,
https://doi.org/10.1364/OE.17.009408, 2009.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|