author_facet Ning, T.
Wang, J.
Elgered, G.
Dick, G.
Wickert, J.
Bradke, M.
Sommer, M.
Querel, R.
Smale, D.
Ning, T.
Wang, J.
Elgered, G.
Dick, G.
Wickert, J.
Bradke, M.
Sommer, M.
Querel, R.
Smale, D.
author Ning, T.
Wang, J.
Elgered, G.
Dick, G.
Wickert, J.
Bradke, M.
Sommer, M.
Querel, R.
Smale, D.
spellingShingle Ning, T.
Wang, J.
Elgered, G.
Dick, G.
Wickert, J.
Bradke, M.
Sommer, M.
Querel, R.
Smale, D.
Atmospheric Measurement Techniques
The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
Atmospheric Science
author_sort ning, t.
spelling Ning, T. Wang, J. Elgered, G. Dick, G. Wickert, J. Bradke, M. Sommer, M. Querel, R. Smale, D. 1867-8548 Copernicus GmbH Atmospheric Science http://dx.doi.org/10.5194/amt-9-79-2016 <jats:p>Abstract. Within the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) there is a need for an assessment of the uncertainty in the integrated water vapour (IWV) in the atmosphere estimated from ground-based global navigation satellite system (GNSS) observations. All relevant error sources in GNSS-derived IWV are therefore essential to be investigated. We present two approaches, a statistical and a theoretical analysis, for the assessment of the uncertainty of the IWV. The method is valuable for all applications of GNSS IWV data in atmospheric research and weather forecast. It will be implemented to the GNSS IWV data stream for GRUAN in order to assign a specific uncertainty to each data point. In addition, specific recommendations are made to GRUAN on hardware, software, and data processing practices to minimise the IWV uncertainty. By combining the uncertainties associated with the input variables in the estimations of the IWV, we calculated the IWV uncertainties for several GRUAN sites with different weather conditions. The results show a similar relative importance of all uncertainty contributions where the uncertainties in the zenith total delay (ZTD) dominate the error budget of the IWV, contributing over 75 % of the total IWV uncertainty. The impact of the uncertainty associated with the conversion factor between the IWV and the zenith wet delay (ZWD) is proportional to the amount of water vapour and increases slightly for moist weather conditions. The GRUAN GNSS IWV uncertainty data will provide a quantified confidence to be used for the validation of other measurement techniques. </jats:p> The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations Atmospheric Measurement Techniques
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title The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_unstemmed The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_full The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_fullStr The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_full_unstemmed The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_short The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_sort the uncertainty of the atmospheric integrated water vapour estimated from gnss observations
topic Atmospheric Science
url http://dx.doi.org/10.5194/amt-9-79-2016
publishDate 2016
physical 79-92
description <jats:p>Abstract. Within the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) there is a need for an assessment of the uncertainty in the integrated water vapour (IWV) in the atmosphere estimated from ground-based global navigation satellite system (GNSS) observations. All relevant error sources in GNSS-derived IWV are therefore essential to be investigated. We present two approaches, a statistical and a theoretical analysis, for the assessment of the uncertainty of the IWV. The method is valuable for all applications of GNSS IWV data in atmospheric research and weather forecast. It will be implemented to the GNSS IWV data stream for GRUAN in order to assign a specific uncertainty to each data point. In addition, specific recommendations are made to GRUAN on hardware, software, and data processing practices to minimise the IWV uncertainty. By combining the uncertainties associated with the input variables in the estimations of the IWV, we calculated the IWV uncertainties for several GRUAN sites with different weather conditions. The results show a similar relative importance of all uncertainty contributions where the uncertainties in the zenith total delay (ZTD) dominate the error budget of the IWV, contributing over 75 % of the total IWV uncertainty. The impact of the uncertainty associated with the conversion factor between the IWV and the zenith wet delay (ZWD) is proportional to the amount of water vapour and increases slightly for moist weather conditions. The GRUAN GNSS IWV uncertainty data will provide a quantified confidence to be used for the validation of other measurement techniques. </jats:p>
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author Ning, T., Wang, J., Elgered, G., Dick, G., Wickert, J., Bradke, M., Sommer, M., Querel, R., Smale, D.
author_facet Ning, T., Wang, J., Elgered, G., Dick, G., Wickert, J., Bradke, M., Sommer, M., Querel, R., Smale, D., Ning, T., Wang, J., Elgered, G., Dick, G., Wickert, J., Bradke, M., Sommer, M., Querel, R., Smale, D.
author_sort ning, t.
container_issue 1
container_start_page 79
container_title Atmospheric Measurement Techniques
container_volume 9
description <jats:p>Abstract. Within the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) there is a need for an assessment of the uncertainty in the integrated water vapour (IWV) in the atmosphere estimated from ground-based global navigation satellite system (GNSS) observations. All relevant error sources in GNSS-derived IWV are therefore essential to be investigated. We present two approaches, a statistical and a theoretical analysis, for the assessment of the uncertainty of the IWV. The method is valuable for all applications of GNSS IWV data in atmospheric research and weather forecast. It will be implemented to the GNSS IWV data stream for GRUAN in order to assign a specific uncertainty to each data point. In addition, specific recommendations are made to GRUAN on hardware, software, and data processing practices to minimise the IWV uncertainty. By combining the uncertainties associated with the input variables in the estimations of the IWV, we calculated the IWV uncertainties for several GRUAN sites with different weather conditions. The results show a similar relative importance of all uncertainty contributions where the uncertainties in the zenith total delay (ZTD) dominate the error budget of the IWV, contributing over 75 % of the total IWV uncertainty. The impact of the uncertainty associated with the conversion factor between the IWV and the zenith wet delay (ZWD) is proportional to the amount of water vapour and increases slightly for moist weather conditions. The GRUAN GNSS IWV uncertainty data will provide a quantified confidence to be used for the validation of other measurement techniques. </jats:p>
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spelling Ning, T. Wang, J. Elgered, G. Dick, G. Wickert, J. Bradke, M. Sommer, M. Querel, R. Smale, D. 1867-8548 Copernicus GmbH Atmospheric Science http://dx.doi.org/10.5194/amt-9-79-2016 <jats:p>Abstract. Within the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN) there is a need for an assessment of the uncertainty in the integrated water vapour (IWV) in the atmosphere estimated from ground-based global navigation satellite system (GNSS) observations. All relevant error sources in GNSS-derived IWV are therefore essential to be investigated. We present two approaches, a statistical and a theoretical analysis, for the assessment of the uncertainty of the IWV. The method is valuable for all applications of GNSS IWV data in atmospheric research and weather forecast. It will be implemented to the GNSS IWV data stream for GRUAN in order to assign a specific uncertainty to each data point. In addition, specific recommendations are made to GRUAN on hardware, software, and data processing practices to minimise the IWV uncertainty. By combining the uncertainties associated with the input variables in the estimations of the IWV, we calculated the IWV uncertainties for several GRUAN sites with different weather conditions. The results show a similar relative importance of all uncertainty contributions where the uncertainties in the zenith total delay (ZTD) dominate the error budget of the IWV, contributing over 75 % of the total IWV uncertainty. The impact of the uncertainty associated with the conversion factor between the IWV and the zenith wet delay (ZWD) is proportional to the amount of water vapour and increases slightly for moist weather conditions. The GRUAN GNSS IWV uncertainty data will provide a quantified confidence to be used for the validation of other measurement techniques. </jats:p> The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations Atmospheric Measurement Techniques
spellingShingle Ning, T., Wang, J., Elgered, G., Dick, G., Wickert, J., Bradke, M., Sommer, M., Querel, R., Smale, D., Atmospheric Measurement Techniques, The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations, Atmospheric Science
title The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_full The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_fullStr The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_full_unstemmed The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_short The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
title_sort the uncertainty of the atmospheric integrated water vapour estimated from gnss observations
title_unstemmed The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
topic Atmospheric Science
url http://dx.doi.org/10.5194/amt-9-79-2016