World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Validation of Remotely Sensed Profiles of Atmospheric State Variables: Strategies and Terminology : Volume 6, Issue 12 (25/09/2006)

By Von Clarmann, T.

Click here to view

Book Id: WPLBN0003994575
Format Type: PDF Article :
File Size: Pages 10
Reproduction Date: 2015

Title: Validation of Remotely Sensed Profiles of Atmospheric State Variables: Strategies and Terminology : Volume 6, Issue 12 (25/09/2006)  
Author: Von Clarmann, T.
Volume: Vol. 6, Issue 12
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2006
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Clarmann, T. V. (2006). Validation of Remotely Sensed Profiles of Atmospheric State Variables: Strategies and Terminology : Volume 6, Issue 12 (25/09/2006). Retrieved from http://worldlibrary.org/


Description
Description: Forschungszentrum Karlsruhe, Institut für Meteorologie und Klimaforschung, Karlsruhe, Germany. This paper summarizes and classifies the various approaches to validation of remote measurements of atmospheric state variables, and tries to recommend a clear and unambiguous terminology. The following approaches have been identified: Intercomparison of individual profiles for accuracy validation; statistical comparison of matched pairs of measurements with respect to bias determination and precision validation; statistical intercomparison of randomly sampled measurements by two instruments, and comparison of a single measurement to an ensemble of measurements. Applicable statistics are shortly reviewed, and recipes for evaluation of the co-incidence error due to less than perfect co-incidences are presented. An approach is suggested to quantitatively validate profile measurements when full covariance matrices are unavailable.

Summary
Validation of remotely sensed profiles of atmospheric state variables: strategies and terminology

Excerpt
Bevington, B. R.: Data reduction and error analysis for physical sciences, MacGraw-Hill Book Company, New York, 1969.; Calisesi, Y., Soebijanta, V. T., and van Oss, R.: Regridding of remote soundings: Formulation and application to ozone profile comparison, J. Geophys. Res., 110, D23306, doi:10.1029/2005JD006122, 2005.; Haseloff, O. W. and Hoffmann, H.-J.: Kleines Lehrbuch der Statistik, de Gruyter, Berlin, 1970.; Carlotti, M., Dinelli, B. M., Raspollini, P., and Ridolfi, M.: Geo-fit approach to the analysis of limb-scanning satellite measurements, Appl. Opt., 40, 1872–1885, 2001.; Ide, K., Courtier, P., Ghil, M., and Lorenc, A. C.: Unified Notation for Data Assimilation: Operational, Sequential and Variational, J. Meteorol. Soc. Japan, 75, 1B, 1997.; Migliorini, S., Piccolo, C., and Rodgers, C. D.: Intercomparison of direct and indirect measurements: Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) versus sonde ozone profiles, J. Geophys. Res., 109, D19316, doi:10.1029/2004JD004988, 2004.; Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T.: Numerical Recipes, Cambridge University Press, Cambridge, 1989.; Ridolfi, M., Ceccherini, S., and Carli, B.: Optimal interpolation method for intercomparison of atmospheric measurements, Opt. Lett., 31, 855–857, 2006.; Rodgers, C. D.: Retrieval of Atmospheric Temperature and Composition From Remote Measurements of Thermal Radiation, Rev. Geophys. Space Phys., 14, 609–624, 1976.; Rodgers, C. D.: Characterization and error analysis of profiles retrieved from remote sounding measurements, J. Geophys. Res., 95, 5587–5595, 1990.; Rodgers, C. D.: Inverse Methods for Atmospheric Sounding: Theory and Practice, vol. 2 of Series on Atmospheric, Oceanic and Planetary Physics, edited by: Taylor, F. W., World Scientific, 2000.; Rodgers, C. D. and Connor, B. J.: Intercomparison of remote sounding instruments, J. Geophys. Res., 108, 4116, doi:10.1029/2002JD002299, 2003.; Steck, T., Höpfner, M., von Clarmann, T., and Grabowski, U.: Tomographic retrieval of atmospheric parameters from infrared limb emission observations, Appl. Opt., 44, 3291–3301, 2005.; von Clarmann, T. and Grabowski, U.: Elimination of hidden a priori information from remotely sensed profile data, Atmos. Chem. Phys. Discuss., 6, 6723–6751, 2006.; Walther, B. A. and Moore, J. L.: The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance, Ecography, 28, 815–829, 2005.

 

Click To View

Additional Books


  • Steady-state Aerosol Distributions in th... (by )
  • Characterization of Dust Aerosols in the... (by )
  • Linkages Between Ozone Depleting Substan... (by )
  • Five-year Record of Atmospheric Precipit... (by )
  • Post Bubble-closeoff Fractionation of Ga... (by )
  • Columnar Modelling of Nucleation Burst E... (by )
  • Aerosol Radiative Effects in the Ultravi... (by )
  • The Chisholm Firestorm: Observed Microst... (by )
  • Surface-to-mountaintop Transport Charact... (by )
  • Cluster Analysis of Midlatitude Oceanic ... (by )
  • New Particle Formation in the Front Rang... (by )
  • Top-down Estimates of European Ch4 and N... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World 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.