1. CENTRO DE INVESTIGACIONES DEL MAR Y LA ATMÓSFERA
(Center for Atmospheric and Oceanic Research)
Buenos Aires - Argentina

2. CIMA is a joint Research Institute between the National Council of Scientific and Technical Research (CONICET) and the University of Buenos Aires (UBA).
CIMA is one of the CONICET-UBA Institutes located in the School of Exact and Natural Sciences (FCEN).
Since 2010, CIMA researchers also belong to the French-Argentinean Institute for the Study of Climate and its Impacts (IFAECI), supported by UBA and CNRS.

3. CIMA Modeling activities:
Numerical-modeling-related activities have been the distinctive feature of CIMA since its creation.
Currently CIMA is the research institute in Argentina with the highest number of researchers with expertise on numerical modeling of both atmosphere and ocean.

4. CIMA
Modeling
Impact studies
Applications
Process studies

5. Interannual to decadal
Most of our research is focused on Southern South America and the South Pacific and Atlantic regions.
Research groups cover a wide variety of scales:
Mesoscale
Synoptic
Intraseasonal
Interannual to decadal
Climate change

6. Intraseasonal variability in South America
PI: Carolina Vera
Main topics of research:
Variability in intraseasonal scale of the main modes of atmospheric circulation, particularly those leading to precipitation anomaly patterns.
Predictability and prediction skill of forecast systems in seasonal scale (circulation, precipitation and temperature).
1st EOF leading pattern of day filtered OLR variability
Weakened SACZ
Intensified SALLJ poleward progression
Intensified SACZ
Inhibited SALLJ poleward progression L

7. Intraseasonal variability in South America
PI: Carolina Vera
Osman, Vera and Doblas-Reyes (2015)

8. Interannual to decadal climate predictions over South America
PI: Inés Camilloni and Carolina Vera
Main topics of research:
Predictability and prediction skill of forecast systems in decadal scale.
Assessment of near-term climate scenarios and possible impacts on different sectors (hydrology, agriculture…).
Saurral and Doblas-Reyes (submitted)

9. Saurral and Doblas-Reyes (submitted)

10. Modeling strategies:
For climate studies, we use CCSM (NCAR) and SPEEDY (ICTP). Our computational capabilities do not allow us so far to perform coupled long-term runs (we are planning to increase our cluster capability soon).