Interannual variability of the midsummer drought in Central America and the connection with sea surface temperatures
- 1Centre for Natural Disaster Science, Uppsala University, Villav. 16, 752 36, Uppsala, Sweden
- 2Department of Earth Sciences, Uppsala University, Villav. 16 752 36, Uppsala, Sweden
- 3School of Physics, University of Costa Rica, San Pedro de Montes de Oca, 11501-2060 San Jose, Costa Rica
- 4Center for Geophysical Research, University of Costa Rica, San Pedro de Montes de Oca, 11501-2060 San Jose, Costa Rica
- 5Centre for Research in Marine Sciences and Limnology, University of Costa Rica, San Pedro de Montes de Oca, 11501-2060 San Jose, Costa Rica
Abstract. The midsummer drought (MSD) in Central America is characterised in order to create annual indexes representing the timing of its phases (start, minimum and end), and other features relevant for MSD forecasting such as the intensity and the magnitude. The MSD intensity is defined as the minimum rainfall detected during the MSD, meanwhile the magnitude is the total precipitation divided by the total days between the start and end of the MSD. It is shown that the MSD extends along the Pacific coast, however, a similar MSD structure was detected also in two stations in the Caribbean side of Central America, located in Nicaragua. The MSD intensity and magnitude show a negative relationship with Niño 3.4 and a positive relationship with the Caribbean low-level jet (CLLJ) index, however for the Caribbean stations the results were not statistically significant, which is indicating that other processes might be modulating the precipitation during the MSD over the Caribbean coast. On the other hand, the temporal variables (start, minimum and end) show low and no significant correlations with the same indexes.
The results from canonical correlation analysis (CCA) show good performance to study the MSD intensity and magnitude, however, for the temporal indexes the performance is not satisfactory due to the low skill to predict the MSD phases. Moreover, we find that CCA shows potential predictability of the MSD intensity and magnitude using sea surface temperatures (SST) with leading times of up to 3 months. Using CCA as diagnostic tool it is found that during June, an SST dipole pattern upon the neighbouring waters to Central America is the main variability mode controlling the inter-annual variability of the MSD features. However, there is also evidence that the regional waters are playing an important role in the annual modulation of the MSD features. The waters in the PDO vicinity might be also controlling the rainfall during the MSD, however, exerting an opposite effect at the north and south regions of Central America.