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Wednesday, April 11 • 2:45pm - 3:00pm
MODELLING CLIMATE AS PROCESS DRIVERS: Identification of the Spatio-temporal Contiguous Carbon Cycle Extreme Events

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AUTHORS: Bharat Sharma, Northeastern University; Jitendra Kumar, Forrest M. Hoffman, Nathan Collier – Oak Ridge National Laboratory; Auroop Ganguly, Northeastern University

ABSTRACT: Increasing trends in carbon dioxide concentration (CO2) has led to the increasing interest in understanding the sources and sinks of carbon. Land-based sink accounts for almost thirty percent of the total global CO2 uptake, most of which is taken up by plants through photosynthesis. Gross Primary Production (GPP) and Net Primary Production (NEP) are often used as a measure for the land-based sink. Previous studies have found the impacts of an increase in GPP and NPP to be diminishing towards the end of 21st century relative to the overall increase in the global carbon emission. However, not many studies look at model outputs beyond the 21st century.Recent observations show an increase in the frequency and intensity of extreme events due to changing climate. The traditional way of finding the extreme events after a definition of a threshold, focus on a spatial location and performing statistics on the time series on every pixel, but most extreme events have spatial continuity. A few studies have defined spatial-temporal continuous extreme events but in-depth analysis of the structuring element that defines feature connections is needed. The number of detected extreme events, the extent in space and time, and impact of the extreme event depends highly on the structuring element.Using the Community Earth Science Model – Biogeochemistry (CESM1-BGC), this study aims to detect spatial-temporal continuous extreme events based on different structuring elements that define feature connections. The scope of this study is focused on the detection of global spatial-temporal extreme events with consecutive 25-year time periods. The aim is to extend the analysis on the basis of plant-functional types as well. The results of this study would improve our understanding of spatial-temporal carbon cycle extreme events.

Wednesday April 11, 2018 2:45pm - 3:00pm CDT
LaSalle 1 (7th Floor)