▶ Previous studies suggest that it is reasonable to expect a direct relationship between sea surface temperature and deep convection cloud(SST-DCC), however, the relationship between the local SST and DCC over warm ocean SST> 27°C) is rather complex because of the influence of large-scale atmospheric dynamics that govern atmospheric convergence in the lower and middle troposphere and divergence aloft [Graham and Barnett, 1987; Waliser and Graham, 1993; Zhang, 1993; Meenu et al., 2012]. ▶ Waliser et al. (1993) found that the characteristic of the relationship between SST and DCC is such that at temperature between 27 and 29°C, convection increases with increasing SST, but above 29°C(i.e. in the western tropical Pacific during boreal summer), the intensity of convection observed tends to decrease with increasing SST. ▶ That is, The SST-DCC correlation is highly positive in the central-to-eastern tropical Pacific, the core region of interannual variability associated with El Nino-Southern Oscillation (ENSO), On the other hand, the overall summer SST-DCC relationship has a negative correlation in the western tropical Pacific, this relationship experiences a significant interannual variation [R Wu and Kirtman, 2005; B Wu et al., 2009; Kumar et al., 2013]. Result References ▶ Graham, N., and T. Barnett(1987), Sea surface temperature, surface wind divergence, and convection over tropical oceans, Science,238(4827), 657-659. ▶ Kumar, A., M. Chen, and W.Wang (2013), Understanding prediction skill of seasonal mean precipitation over the tropics, J. Clim., 26(15), 5674-5681. ▶ Meenu,S., K. Parameswaran, and K. Rajeev (2012), Role of sea surface temperature and wind convergence in regulating convection over the tropical Indian Ocean,J. Geophys. Res. Atmos., 117. ▶ Waliser, D. E., and N. E.Graham (1993), Convective cloud systems and warm‐pool sea surface temperatures: Coupled interactions and self‐regulation,J. Geophys. Res. Atmos., 98(D7), 12881-12893. ▶ Wu, B., T. Zhou, and T. Li(2009), Contrast of Rainfall-SST Relationships in the Western North Pacific between the ENSO- Developing and ENSO-Decaying Summers*, J. Clim., 22(16),4398-4405. ▶ Wu,R., and B. P. Kirtman (2005), Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability, Clim. Dyn., 25(2-3),155-170. ▶ Zhang,C. (1993), Large-scale variability of atmospheric deep convection in relation to sea surface temperature in the tropics, J. Clim., 6(10), 1898-1913.
▶ Waliser et al. (1993) found that the characteristic of the relationship between SST and DCC is such that at temperature between 27 and 29°C, convection increases with increasing SST, but above 29°C(i.e. in the western tropical Pacific during boreal summer), the intensity of convection observed tends to decrease with increasing SST. ▶ That is, The SST-DCC correlation is highly positive in the central-to-eastern tropical Pacific, the core region of interannual variability associated with El Nino-Southern Oscillation (ENSO), On the other hand, the overall summer SST-DCC relationship has a negative correlation in the western tropical Pacific, this relationship experiences a significant interannual variation [R Wu and Kirtman, 2005; B Wu et al., 2009; Kumar et al., 2013]. Result References ▶ Graham, N., and T. Barnett(1987), Sea surface temperature, surface wind divergence, and convection over tropical oceans, Science,238(4827), 657-659. ▶ Kumar, A., M. Chen, and W.Wang (2013), Understanding prediction skill of seasonal mean precipitation over the tropics, J. Clim., 26(15), 5674-5681. ▶ Meenu,S., K. Parameswaran, and K. Rajeev (2012), Role of sea surface temperature and wind convergence in regulating convection over the tropical Indian Ocean,J. Geophys. Res. Atmos., 117. ▶ Waliser, D. E., and N. E.Graham (1993), Convective cloud systems and warm‐pool sea surface temperatures: Coupled interactions and self‐regulation,J. Geophys. Res. Atmos., 98(D7), 12881-12893. ▶ Wu, B., T. Zhou, and T. Li(2009), Contrast of Rainfall-SST Relationships in the Western North Pacific between the ENSO- Developing and ENSO-Decaying Summers*, J. Clim., 22(16),4398-4405. ▶ Wu,R., and B. P. Kirtman (2005), Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability, Clim. Dyn., 25(2-3),155-170. ▶ Zhang,C. (1993), Large-scale variability of atmospheric deep convection in relation to sea surface temperature in the tropics, J. Clim., 6(10), 1898-1913.
▶ That is, The SST-DCC correlation is highly positive in the central-to-eastern tropical Pacific, the core region of interannual variability associated with El Nino-Southern Oscillation (ENSO), On the other hand, the overall summer SST-DCC relationship has a negative correlation in the western tropical Pacific, this relationship experiences a significant interannual variation [R Wu and Kirtman, 2005; B Wu et al., 2009; Kumar et al., 2013]. Result References ▶ Graham, N., and T. Barnett(1987), Sea surface temperature, surface wind divergence, and convection over tropical oceans, Science,238(4827), 657-659. ▶ Kumar, A., M. Chen, and W.Wang (2013), Understanding prediction skill of seasonal mean precipitation over the tropics, J. Clim., 26(15), 5674-5681. ▶ Meenu,S., K. Parameswaran, and K. Rajeev (2012), Role of sea surface temperature and wind convergence in regulating convection over the tropical Indian Ocean,J. Geophys. Res. Atmos., 117. ▶ Waliser, D. E., and N. E.Graham (1993), Convective cloud systems and warm‐pool sea surface temperatures: Coupled interactions and self‐regulation,J. Geophys. Res. Atmos., 98(D7), 12881-12893. ▶ Wu, B., T. Zhou, and T. Li(2009), Contrast of Rainfall-SST Relationships in the Western North Pacific between the ENSO- Developing and ENSO-Decaying Summers*, J. Clim., 22(16),4398-4405. ▶ Wu,R., and B. P. Kirtman (2005), Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability, Clim. Dyn., 25(2-3),155-170. ▶ Zhang,C. (1993), Large-scale variability of atmospheric deep convection in relation to sea surface temperature in the tropics, J. Clim., 6(10), 1898-1913.
References
▶ Graham, N., and T. Barnett(1987), Sea surface temperature, surface wind divergence, and convection over tropical oceans, Science,238(4827), 657-659.
▶ Kumar, A., M. Chen, and W.Wang (2013), Understanding prediction skill of seasonal mean precipitation over the tropics, J. Clim., 26(15), 5674-5681.
▶ Meenu,S., K. Parameswaran, and K. Rajeev (2012), Role of sea surface temperature and wind convergence in regulating convection over the tropical Indian Ocean,J. Geophys. Res. Atmos., 117.
▶ Waliser, D. E., and N. E.Graham (1993), Convective cloud systems and warm‐pool sea surface temperatures: Coupled interactions and self‐regulation,J. Geophys. Res. Atmos., 98(D7), 12881-12893.
▶ Wu, B., T. Zhou, and T. Li(2009), Contrast of Rainfall-SST Relationships in the Western North Pacific between the ENSO- Developing and ENSO-Decaying Summers*, J. Clim., 22(16),4398-4405.
▶ Wu,R., and B. P. Kirtman (2005), Roles of Indian and Pacific Ocean air–sea coupling in tropical atmospheric variability, Clim. Dyn., 25(2-3),155-170.
▶ Zhang,C. (1993), Large-scale variability of atmospheric deep convection in relation to sea surface temperature in the tropics, J. Clim., 6(10), 1898-1913.
▶ Climate Chemistry interactions, particularly “Short lived climate pollutants(SLCPs)” such as Sulfate aerosols, Black carbon etc. play a role to influence the weather and climate variability by changing radiative forcings (IPCC 2007).
▶ One is direct effect in which particles scatter and absorb the solar and terrestrial radiation. The other is an indirect effect in which they change the microphysical and optical properties of cloud droplets responding that cloud condensation nuclei (Twomey, 1974).
▶ According to recent studies, the short lived climate pollutants play a role in influencing the precipitation variability by changing the properties of the clouds, such as the cloud optical depth, the cloud droplet size, and the vertical distribution of the cloud droplets within the clouds
(Hansen et al.,2007; Breon et al., 2002; Feingold et al., 2003; Tang et al., 2014).
Fundamental
▶ The MOM4 is a numerical ocean model based on the hydrostatic primitive equations.The MOM4 is configured with 50 vertical levels (22 levels of 10-m thickness in the top 220m), 1 ° longitude by 1° latitudinal spacing near the equator. The model has an explicit surface with freshwater fluxes exchanged between the atmosphere and ocean [S. Zhang et al. 2010].
▶ Parameterized physical processes include K-profile parameterization (KPP) vertical mixing,neutral physics, a spatially dependent anisotropic viscosity, and a shortwave radiative penetration depth that depends on a prescribed climatological ocean color. Insolation varies diurnally and the wind stress at the ocean surface is computed using the velocity of the wind relative to surface currents. An efficient time stepping scheme is employed [Griffies et al. 2005].
Figure 1. Schematic diagram of elements in the NCAR coupledocean-atmosphere general circulation climate model. [Gerald A Meehl, 1989]
The Pacific SST variability and the NINO SST index in late-1990s were changed result from the 1998/99 regime shift[Jo et al. 2014] , as well as the mean zonal SST difference signal changed in 1999 [Chung et al. 2013].
Figure 2. Standard deviations of the inter-annual SSTA averaged from September to the following February. [Chung et al, 2013]
Figure 3. Global of use the MOM.4 model. The inter-annual sea surface temperature anomalies during boreal winter over the periods of 1979-2009. In figure 2, NINO3.4 SSTA indexes area is latitudes from 5˚N to 5˚S and longitudes from 190˚E to 240˚E. Other indexes (observation data) are during same period time series and same area.
Figure 3. NINO3.4 SSTA indexes are used observation data and model result. Observations are SODA (violet),ERSST (green) and HadiSST (orange). MOM.4 results are used om3 core data (red)and ECMWF data (blue).
Reference
▶ Breon FM, Tanre D, and Generoso S, 2002. Aerosol effect on cloud droplet size monitored from satellite. Science 295: 834-838.
▶ Change IPCC 2007. Climate change 2007: The physical science basis.Agenda 6: 333..
▶ Feingold G, Eberhard WL, Veron DE, and Previdi M, 2003. Firstmeasurements of the Twomey indirect effect using ground‐based remote sensors. GeophysicalResearch Letters 30.
▶ Hansen J, Sato M, Kharecha P, Russell G, Lea DW, and Siddall M, 2007.Climate change and trace gases. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 365: 1925-1954.
▶ Jasper Kirkby, 2009. Cosmic rays and climate .CERN Colloquium
▶ Tang J, and Coauthors, 2014. Positive relationship between liquid cloud droplet effective radius and aerosol optical depth over Eastern China from satellite data.Atmospheric Environment 84: 244-253.
▶ Trenberth KE, 2011. Changes in precipitation with climate change. Climate Research 47: 123.
▶ Twomey S, 1977. The influence of pollution on the shortwave albedo of clouds. Journal of the atmospheric sciences 34: 1149-1152.
▶ The main reason of the global surface warming is the changes of mean states and long-term variability in ocean and atmosphere by the greenhouse gas increase. Therefore, understanding the mechanism what induces the changes of atmosphere and ocean, is important.
▶ The ocean, which has the highest heat capacity in the climate system, has experienced significant change in global heat content over the past 40 years [levitus et al, 2000]. To understand the ocean’s role in climate system, the ocean’s ability to store and transportheat has been studied in several researches [levitus et al, 2000, 2005, 2009;Gouretski and Koltermann, 2007; Domingues et al, 2008], in association with theocean’s significant contribution to global warming and climate change [Houghtonet al, 1996].
▶ The recent sea surface temperature (SST) of marginal sea becomes much warmer than the SST of a global SST [Yeh and Kim, 2012; Lima and David, 2012]. The larger SST is associated with northerly wind in Yellow sea and East China Sea. This results in the changes in the wind flow in western Pacific Ocean along with the change in the precipitation in East China and Korea peninsula. It indicates that the marginal SST can contribute on atmospheric variability. In addition, warming in Yellow Sea is associated with in the warming in East China Sea and South China Sea.