High-frequency climate variability is one of the most common features associated with climatic zones and yet,Ìýone of the least understood aspects of climate sciences, and unsurprisingly, one of the least implementedÌýaspects of climate sciences in the realm of climate adaptation and policy. Semi-arid belts of the world,Ìýcharacterized by low and large variations in rainfall, provide some of the best test beds for studying high-frequency climate variability, which operate primarily through a land-vegetation-atmosphere feedback inÌýthese regions. In this talk I will present an interdisciplinary approach- combining high-resolution naturalÌýarchives and human societal archives-that together provide a framework for characterizing modes of climateÌývariability as well as determining associated frequency of climate disasters and resultant human impactsÌý(mortality, unemployment, loss of lives and employment). I will present three case studies - in the SahelÌýregion of Africa, in the southwest United States and in peninsular India. In case of the Sahel and southwesternÌýUnited States, I will show paleoclimate data demonstrating climate variability (particularly related to land-vegetation feedback). In case of peninsular India, I will focus on information related to climate disasters andÌýclimate impacts from institutional archival data spanning the last two centuries and will tie that informationÌýto published works of natural archives in the region. ÌýIn conclusion, I will discuss how study of natural andÌýhuman archives together can be combined to gain insight into climate adaptation in response to GHGÌýwarming during the 21st Ìýcentury.
Atreyee Bhattacharya
ÃÛÌÒ´«Ã½Æƽâ°æÏÂÔØ, Instructor Environmental Studies, INSTAAR Affiliate
DirectorÌýof the Global Environmental
Affairs Certificate Program