Date: July 07, 2008 - July 11, 2008
Type: Journal Article
Venue: IEEE Geoscience and Remote Sensing Symposium
Citation:
Zaccheo, T.S.; Connor, T.; Eluszkiewicz, J.; Dobbs, M.; Snell, H.E.; Simulations of space-based CO2 measurements: measurement impacts on mesoscale transport modeling. Geoscience and Remote Sensing Symposium, 2008. 7-11 July 2008, II-1124 - II-1127. doi: 10/1109/IGARSS.2008.4779197
Resource Link: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4779197
We have developed an algorithm testbed designed for end-to-end simulation of atmospheric lidar measurements. The testbed provides a framework for the rapid prototype and development of trace gas remote sensing systems. It not only provides a means of simulating sensor performance during the design phase, but also provides a modular implementation that enables integrations algorithm tools with measured data from prototype/operational sensors. Further, the retrieved output parameters can be fed directly into data assimilation schemes in order to fully test the utility from an end-user perspective. This paper describes the application of this testbed to a LIDAR system designed to measure atmospheric carbon dioxide (CO2). We provide results of sensor simulation studies and show how assimilation of data from a satellite-based LIDAR system would enhance the regional modeling and simulation of sources and sinks of atmospheric CO2.