World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Performance of a Geostationary Mission, Geocarb, to Measure Co2, Ch4 and Co Column-averaged Concentrations : Volume 6, Issue 5 (31/10/2013)

By Polonsky, I. N.

Click here to view

Book Id: WPLBN0004000010
Format Type: PDF Article :
File Size: Pages 69
Reproduction Date: 2015

Title: Performance of a Geostationary Mission, Geocarb, to Measure Co2, Ch4 and Co Column-averaged Concentrations : Volume 6, Issue 5 (31/10/2013)  
Author: Polonsky, I. N.
Volume: Vol. 6, Issue 5
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Team, T. G., O'brien, D., Polonsky, I. N., O'dell, C. W., & Kumer, J. B. (2013). Performance of a Geostationary Mission, Geocarb, to Measure Co2, Ch4 and Co Column-averaged Concentrations : Volume 6, Issue 5 (31/10/2013). Retrieved from http://www.ebooklibrary.org/


Description
Description: Cooperative Institute for Research in the Atmosphere, Colorado State University, USA. GeoCARB is a proposed instrument to measure column averaged concentrations of CO2, CH4 and CO from geostationary orbit using reflected sunlight in near-infrared absorption bands of the gases. The scanning options, spectral channels and noise characteristics of geoCARB and two descope options are described. The accuracy of concentrations from geoCARB data is investigated using end-to-end retrievals; spectra at the top of the atmosphere in the geoCARB bands are simulated with realistic trace gas profiles, meteorology, aerosol, cloud and surface properties, and then the concentrations of CO2, CH4 and CO are estimated from the spectra after addition of noise characteristic of geoCARB. The sensitivity of the algorithm to aerosol, the prior distributions assumed for the gases and the meteorology are investigated. The contiguous spatial sampling and fine temporal resolution that geoCARB could provide opens the possibility of monitoring localised sources such as power plants. Simulations of emissions from a power plant with a gaussian plume are conducted to assess the accuracy with which the emission strength may be recovered from geoCARB spectra. Scenarios for clean and dirty power plants are examined. It is found that a reliable estimate of the emission rate is possible, especially for power plants that have particulate filters, by averaging multiple snap-shots of the CO2 field surrounding the plant. The result holds even in the presence of partial cloud cover.

Summary
Performance of a geostationary mission, geoCARB, to measure CO2, CH4 and CO column-averaged concentrations

Excerpt
Baum, B. A., Heymsfield, A. J., Yang, P., and Bedka, S. T.: Bulk scattering properties for the remote sensing of ice clouds, Part 1: Microphysical data and models, J. Appl. Meteorol., 44, 1885–1895, doi:10.1175/JAM2308.1, 2005a.; Baum, B. A., Yang, P., Heymsfield, A. J., Platnick, S., King, M. D., Hu, Y.-X., and Bedka, S. T.: Bulk scattering properties for the remote sensing of ice clouds, Part 2: Narrowband models, J. Appl. Meteorol., 44, 1896–1911, doi:10.1175/JAM2309.1, 2005b.; Bovensmann, H., Buchwitz, M., and Burrows, J. P.: Carbon monitoring satellite (CarbonSat) as an Earth Explorer Opportunity Mission: mission overview, available at: http://www.iup.uni-bremen.de/carbonsat (last access: 29 October 2013), 2010a.; Bovensmann, H., Buchwitz, M., Burrows, J. P., Reuter, M., Krings, T., Gerilowski, K., Schneising, O., Heymann, J., Tretner, A., and Erzinger, J.: A remote sensing technique for global monitoring of power plant CO2 emissions from space and related applications, Atmos. Meas. Tech., 3, 781–811, doi:10.5194/amt-3-781-2010, 2010b.; CARMA: Carbon Monitoring for Action, available at: http://carma.org (last access: 29 October 2013), 2012.; Connor, B. J., Boesch, H., Toon, G., Sen, B., Miller, C., and Crisp, D.: The Orbiting Carbon Observatory (OCO): inverse method and prospective error analysis, J. Geophys. Res., 113, D05305, doi:10.1029/2006JD008336, 2008.; Crisp, D., Atlas, R., Breon, F.-M., Brown, L. R., Burrows, J., Ciais, P., Connor, B. J., Doney, S. C., Fung, I. Y., Jacob, D. J., Miller, C. E., O'Brien, D., Pawson, S., Randerson, J. T., Rayner, P., Salawitch, R. J., Sander, S. P., Sen, B., Stephens, G. L., Tans, P. P., Toon, G. C., Wennberg, P. O., Wofsy, S. C., Yung, Y. L., Kuang, Z., Chudasama, B., Sprague, G., Weiss, B., Pollock, R., Kenyon, D., and Schroll, S.: The Orbiting Carbon Observatory (OCO) mission, Adv. Space Res., 34, 700–709, doi:10.1016/j.asr.2003.08.062, 2004.; Crisp, D., Fisher, B. M., O'Dell, C., Frankenberg, C., Basilio, R., Bösch, H., Brown, L. R., Castano, R., Connor, B., Deutscher, N. M., Eldering, A., Griffith, D., Gunson, M., Kuze, A., Mandrake, L., McDuffie, J., Messerschmidt, J., Miller, C. E., Morino, I., Natraj, V., Notholt, J., O'Brien, D. M., Oyafuso, F., Polonsky, I., Robinson, J., Salawitch, R., Sherlock, V., Smyth, M., Suto, H., Taylor, T. E., Thompson, D. R., Wennberg, P. O., Wunch, D., and Yung, Y. L.: The ACOS CO2 retrieval algorithm – Part II: Global XCO2 data characterization, Atmos. Meas. Tech., 5, 687–707, doi:10.5194/amt-5-687-2012, 2012.; Deeter, M. N., Emmons, L. K., Francis, G. L., Edwards, D. P., Gille, J. C., Warner, J. X., Khattatov, B., Ziskin, D., Lamarque, J.-F., Ho, S.-P., Yudin, V., Attié, J.-L., Packman, D., Chen, J., Mao, D., and Drummond, J. R.: Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument, J. Geophys. Res., 108, 4399, doi:10.1029/2002JD003186, 2003.; Deeter, M. N., Edwards, D. P., and Gille, J. C.: Retrievals of carbon monoxide profiles from MOPITT observations using lognormal a priori statistics, J. Geophys. Res., 112, 11311, doi:10.1029/2006JD007999, 2007a.; Deeter, M. N., Edwards, D. P., Gille, J. C., and Drummond, J. R.: Sensitivity of MOPITT observations to carbon monoxide in the lower troposphere, J. Geophys. Res

 

Click To View

Additional Books


  • Level 2 Processing for the Imaging Fouri... (by )
  • Observations of Tropical Rain with a Pol... (by )
  • Can Aeronet Data Be Used to Accurately M... (by )
  • A New Stratospheric and Tropospheric No2... (by )
  • A Model-based Approach to Adjust Microwa... (by )
  • Maritime Aerosol Network as a Component ... (by )
  • An Improved Retrieval of Tropospheric No... (by )
  • Observations of Precipitable Water Vapou... (by )
  • Analysis of Vertical Wave Number Spectru... (by )
  • Airborne Multi-axis Doas Measurements of... (by )
  • Aircraft Validation of Aura Tropospheric... (by )
  • Uncertainties of Satellite-derived Surfa... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.