HR: 1340h
AN: IN43B-1177    [Abstracts]
TI: Using Simulated OCO Measurements for Assessing Terrestrial Carbon Pools in the Southern United States
AU: * Younan, N H
EM: younan@ece.msstate.edu
AF: Department Of Electrical and Computer Engineering, GeoResources Institute(GRI), Mississippi State University, Mississippi State, MS 39762, United States
AU: King, R L
EM: rking@engr.msstate.edu
AF: Department Of Electrical and Computer Engineering, GeoResources Institute(GRI), Mississippi State University, Mississippi State, MS 39762, United States
AU: Durbha, S S
EM: suryad@gri.msstate.edu
AF: Department Of Electrical and Computer Engineering, GeoResources Institute(GRI), Mississippi State University, Mississippi State, MS 39762, United States
AU: Han, F
EM: han@icet.msstate.edu
AF: Institute for Clean Energy Technology (ICET), Mississippi State University, Mississippi State, MS 39762, United States
AU: Long, Z
EM: long@icet.msstate.edu
AF: Institute for Clean Energy Technology (ICET), Mississippi State University, Mississippi State, MS 39762, United States
AU: Chen, J
EM: jc830@msstate.edu
AF: Institute for Clean Energy Technology (ICET), Mississippi State University, Mississippi State, MS 39762, United States
AB: The Orbiting Carbon Observatory (OCO) mission will make the first global, space-based measurements of atmospheric carbon dioxide (CO2) with the precision, resolution, and coverage needed to characterize CO2 sources and sinks on regional scales. This Rapid Prototyping Concept (RPC) experiment is focused towards the evaluation of CO2 column measurements from simulated OCO data and relating these datasets to terrestrial biospheric exchange of carbon from terrestrial surfaces in south east and south central United States. In particular, this investigation intends to leverage multiple NASA sensors, the terrestrial ecosystem model (CASA), and a transport model to undertake a RRPC experiment to address the need to quantify the carbon exchange over different ecosystems. Further, test how well data from OCO observations and CO2 measurement networks, models constrain CO2 fluxes at model-grid resolution. In this ongoing work, the CASA model estimates of carbon products are calibrated with field-based measurements of crop production, forest ecosystem fluxes, and inventory estimates of carbon pool sizes at multiple locations in the southeastern and south central United States. Comparative predictions from an atmospheric transport model (e.g. GISS Model E) and measurements of atmospheric carbon abundances from OCO and at observation sites distributed over the regions of interest would also be conducted.
DE: 1600 GLOBAL CHANGE
DE: 1610 Atmosphere (0315, 0325)
DE: 1637 Regional climate change
DE: 1640 Remote sensing (1855)
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting