Deep convection in the Subpolar Gyre, how much data is needed to estimate its intensity?
- 1Saint Petersburg University, Institute of Earth sciences, Oceanology, Russian Federation (firstname.lastname@example.org)
- 2NIERSC, Nansen International Environmental and Remote Sensing Centre, Russian Federation
- 3NERSC, Nansen Environmental and Remote Sensing Center, Bjerknes Centre for Climate Research, Norway.
Deep convection in the Subpolar Gyre (SPG) of the North Atlantic forms a link between the upper and lower limbs of the Atlantic Meridional Overturning Circulation (AMOC). The intensity of convection is estimated using mixed layer depth (MLD) derived from in situ vertical profiles of potential density. Given limited areas of convective chimneys, the robustness of the estimates from an available set of vertical profiles needs to be verified before studying mechanisms of interannual variability of convection intensity. For reaching this goal, we first computed the frequency of deep convection events observed in situ and split the convective regions into three domains: the central part of the Irminger Sea (I-DC), the southwestern part of the Labrador Sea (L-DC), and a domain south of Cape Farewell (F-DC). For each domain, we identified two types of development of the convective regions using k-means cluster analysis. Then, for each convection domain and each convection type, the minimum number of randomly scattered casts required for a robust estimate of the maximum MLD during the convective period are derived as a criterion of a robust estimate of the convection intensity. The results showed that, for all the convection domains, a sufficient number of casts during a cold season was collected since the late 1990s for some years, while uninterrupted time series are obtained since the mid-2000s. The main modes of spatio-temporal variability of salinity and temperature in the upper North Atlantic, preceding the years with high/low convection intensity, are accessed through constructing the composite maps of their anomalies and the empirical orthogonal function (EOF) analysis. The first EOF of temperature closely corresponds to the composite map of temperature anomalies, while its principal component has a high correlation with interannual variability of convection in the I-DC and F-DC convection domains, and a moderate one in the L-DC domain. At the same time, a high correlation with the SPG index is also observed. The results suggest that the variability of these dynamic patterns may play an important role in shaping convection intensity in the SPG.
Funding: The research was funded by Saint Petersburg State University (SPSU), project no. 75295423.
How to cite: Fedorov, A. M., Bashmachnikov, I. L., Iakovleva, D. A., Kuznetcova, D. A., and Raj, R. P.: Deep convection in the Subpolar Gyre, how much data is needed to estimate its intensity?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3396, https://doi.org/10.5194/egusphere-egu22-3396, 2022.