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Changes in the South American Monsoon and potential regional impacts. L. Carvalho , C. Jones, B. Bookhagan , D. Lopez-Carr UCSB, USA Posadas, R. Quiroz CIP, Peru B. Liebmann CIRES/NOAA, USA.
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Changes in the South American Monsoon and potential regional impacts L. Carvalho, C. Jones, B. Bookhagan, D. Lopez-Carr UCSB, USA Posadas, R. Quiroz CIP, Peru B. Liebmann CIRES/NOAA, USA
The presence of a monsoonal type of circulation and precipitation is the most important climatic feature in the tropical Americas • Agriculture and water management are among human activities that are strongly tied to the seasonal migration of the monsoons. • Changes in the onset, duration and total monsoonal precipitation have significant impact for the economy of countries in South, Central and North Americas
Objectives of this talk • Examine the recent (60yrs) variations in SAMS • Investigate mechanisms and links with global warming • Discuss possible impacts in the Andean region and the importance of regional analysis of climate variability and change • Importance of an interdisciplinary approach to understand human-natural systems inter-relationships and feedbacks
Large Scale Index for South America Monsoon (LISAM) (Silva and Carvalho 2007) • SAMS is characterized by seasonal changes in: • Circulation anomalies • Precipitation • Moisture • Temperature LISAM index was designed to characterize the ONSET, DEMISE, DURATION, AMPLITUDE, BREAKS AND ACTIVE PHASES of SAMS based in all variables above.
LISAM (Silva and Carvalho 2007) • Precipitation: Global Precipitation Climatology Project - GPCP (2.5o resolution) • Zonal (U850) and meridional (V850) winds, Specific Humidity (Q850) and temperature (T850) at 850hPa from NCEP/NCAR reanalysis were used in this case. • (5 days average) pentads 1979-2007; subtract only long-term mean • Method applied to obtain the INDEX: Combined Empirical Orthogonal Function • Use first two modes (LISAM1, LISAM2)
First CEOF Mode - LISAM Correlation between LISAM and all variables used in the CEOF Specific humidity Precipitation Zonal wind Westerlies Easterlies Meridional wind Air temperature Northerly 6
Second CEOF Mode – South Atlantic Convergence Zone (SACZ) Correlation between LISAM and all variables used in the CEOF Precipitation Specific humidity Zonal wind Westerlies Easterlies Meridional wind Air temperature Northerly Southerly 7
There is a clear distinction between the oceanic (SACZ) and continental activity (LISAM) associated with SAMS Precipitation (SACZ) Precipitation (LISAM)
LISAM and SACZ time coefficients Spectral Density LISAM ~ 30-80 days Annual cycle removed Period (pentads) SACZ ~15-25 days Period (pentads)
Does LISAM capture active and break phases of SAMS? Differences wet and dry events (defined as indices upper quartile – lower quartile during summer – after removing the annual cycle) Wet events=123 Dry events=94 Difference Precipitation (Wet – Dry) Difference U850 (Wet – Dry) Westerlies
1970 1948 2000 Liebmann and Dallured 2005)
Multi-annual to decadal variations • To extend the analysis to the period of reanalysis (1948-2010) LISAM was obtained using the same set of variables BUT EXCLUDING PRECIPITATION (since all daily precipitation datasets have problems during this period) • Patterns of wind, temperature, specific humidity are very similar (First and second CEOF) and will not be shown here
Definition of Amplitude • Amplitude of SAMS was defined as the integral of positive values of LISAM index (which are indicative of enhanced monsoonal activity over central eastern Brazil)
Amplitude of the second C-EOF (SACZ) obtained as the integral from the onset-demise of the positive values (SACZ in its climatological position during the wet season).
The 18oC isotherm at 850hPa extends over the continents year round: a good metrics to evaluate impacts of global warming
OCTOBER: onset SAMS Interannual extent of the 18oC at 850hPa – Note its migration towards tropical regions in the last decades Interannual variation of the extent of the 15oC isotherm . Note the warming of tropical oceans in the last decades
Trends in SAMS amplitude (blue) and trends in the T18oC area in November(Red) Change point for both indices: 1977 (climate shift)
1948-1976 1977-1999 2000-2009 Changes in patterns of temperature indicate fast rates over the Brazilian Altiplano (east Brazil): these changes may have intensified temperature gradients and monsoon circulations in the region.
Difference in the integrated moisture fluxes (from surface up to 400hPa): (2008-1982) minus (1948-1971) (From Carvalho et al 2010) . Note the increase in the moisture flow over central Brazil from the Atlantic Ocean Note also changes in moisture flow over Northern Peru after the climate shift
Regional impacts • There are non uniform impacts of SAMS in South America: • Northern Amazonian Peru and Southern Peru and Bolivia are anti-correlated. • ENSO is important for water balance and glaciers over Western Andes but SAMS may play a significant over eastern Andes
Peruvian glaciers are located on the catchment boundary between the Atlantic and Pacific drainage divide, have moderate relief and lower elevations than Bolivian glaciers, which generally have higher relief and higher elevations and are located on the eastern flanks of the internally-drained Altiplano-Puna Plateau
ENSO effect in the Andes: 12 yrs TRMM (Bookhagan and Strecker 2010)
Conclusions • Regional impacts are complex as they involve natural factors and human dimensions. • Assessing regional impacts require appropriate methods and improvement in datasets (climate and social variables) and modeling • Interdisciplinary approaches, additional local measurements, international efforts are crucial to evaluate vulnerability, feedbacks, and prevent further impacts