Quantifying the value of redundant measurements at GCOS Reference Upper-Air Network sites
Abstract
The potential for measurement redundancy to reduce uncertainty in atmospheric variables has not been investigated comprehensively for climate observations. We evaluated the usefulness of entropy and mutual correlation concepts, as defined in information theory, for quantifying random uncertainty and redundancy in time series of the integrated water vapour (IWV) and water vapour mixing ratio profiles provided by five highly instrumented GRUAN (GCOS, Global Climate Observing System, Reference Upper-Air Network) stations in 2010–2012. Results show that the random uncertainties on the IWV measured with radiosondes, global positioning system, microwave and infrared radiometers, and Raman lidar measurements differed by less than 8%. Comparisons of time series of IWV content from ground-based remote sensing instruments with in situ soundings showed that microwave radiometers have the highest redundancy with the IWV time series measured by radiosondes and therefore the highest potential to reduce the random uncertainty of the radiosondes time series. Moreover, the random uncertainty of a time series from one instrument can be reduced by ~ 60% by constraining the measurements with those from another instrument. The best reduction of random uncertainty is achieved by conditioning Raman lidar measurements with microwave radiometer measurements. In conclusion, specific instruments are recommended for atmospheric water vapourmore »
- Authors:
-
- National Research Council (CNR), Potenza (Italy). Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA)
- German Weather Service, Meteorological Observatory Lindenberg Richard Assmann Observatory, Tauche Lindenberg (Germany)
- Federal Office of Meteorology and Climatology MeteoSwiss, Payerne (Switzerland)
- Finnish Meteorological Inst., Sodankyla (Finland). Arctic Research
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); European Commission (EC); European Union (EU)
- OSTI Identifier:
- 1395979
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Atmospheric Measurement Techniques (Online)
- Additional Journal Information:
- Journal Name: Atmospheric Measurement Techniques (Online); Journal Volume: 7; Journal Issue: 11; Journal ID: ISSN 1867-8548
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Madonna, F., Rosoldi, M., Güldner, J., Haefele, A., Kivi, R., Cadeddu, M. P., Sisterson, D., and Pappalardo, G. Quantifying the value of redundant measurements at GCOS Reference Upper-Air Network sites. United States: N. p., 2014.
Web. doi:10.5194/amt-7-3813-2014.
Madonna, F., Rosoldi, M., Güldner, J., Haefele, A., Kivi, R., Cadeddu, M. P., Sisterson, D., & Pappalardo, G. Quantifying the value of redundant measurements at GCOS Reference Upper-Air Network sites. United States. https://doi.org/10.5194/amt-7-3813-2014
Madonna, F., Rosoldi, M., Güldner, J., Haefele, A., Kivi, R., Cadeddu, M. P., Sisterson, D., and Pappalardo, G. Wed .
"Quantifying the value of redundant measurements at GCOS Reference Upper-Air Network sites". United States. https://doi.org/10.5194/amt-7-3813-2014. https://www.osti.gov/servlets/purl/1395979.
@article{osti_1395979,
title = {Quantifying the value of redundant measurements at GCOS Reference Upper-Air Network sites},
author = {Madonna, F. and Rosoldi, M. and Güldner, J. and Haefele, A. and Kivi, R. and Cadeddu, M. P. and Sisterson, D. and Pappalardo, G.},
abstractNote = {The potential for measurement redundancy to reduce uncertainty in atmospheric variables has not been investigated comprehensively for climate observations. We evaluated the usefulness of entropy and mutual correlation concepts, as defined in information theory, for quantifying random uncertainty and redundancy in time series of the integrated water vapour (IWV) and water vapour mixing ratio profiles provided by five highly instrumented GRUAN (GCOS, Global Climate Observing System, Reference Upper-Air Network) stations in 2010–2012. Results show that the random uncertainties on the IWV measured with radiosondes, global positioning system, microwave and infrared radiometers, and Raman lidar measurements differed by less than 8%. Comparisons of time series of IWV content from ground-based remote sensing instruments with in situ soundings showed that microwave radiometers have the highest redundancy with the IWV time series measured by radiosondes and therefore the highest potential to reduce the random uncertainty of the radiosondes time series. Moreover, the random uncertainty of a time series from one instrument can be reduced by ~ 60% by constraining the measurements with those from another instrument. The best reduction of random uncertainty is achieved by conditioning Raman lidar measurements with microwave radiometer measurements. In conclusion, specific instruments are recommended for atmospheric water vapour measurements at GRUAN sites. This approach can be applied to the study of redundant measurements for other climate variables.},
doi = {10.5194/amt-7-3813-2014},
journal = {Atmospheric Measurement Techniques (Online)},
number = 11,
volume = 7,
place = {United States},
year = {Wed Nov 19 00:00:00 EST 2014},
month = {Wed Nov 19 00:00:00 EST 2014}
}
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