A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data

A semiempirical method for estimating the error and optimum number of sampled levels in precipitable water vapour (PWV) determinations from atmospheric radiosoundings is proposed. Two terms have been considered: the uncertainties in the measurements and the sampling error. Also, the uncertainty has...

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Main Authors: J. A. Castro-Almazán, G. Pérez-Jordán, C. Muñoz-Tuñón
Format: Article
Language:English
Published: Copernicus Publications 2016-09-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/9/4759/2016/amt-9-4759-2016.pdf
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spelling doaj-7813f0129f1d48278fd41e825ba8346f2020-11-24T21:04:38ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482016-09-01994759478110.5194/amt-9-4759-2016A semiempirical error estimation technique for PWV derived from atmospheric radiosonde dataJ. A. Castro-Almazán0G. Pérez-Jordán1C. Muñoz-Tuñón2Instituto de Astrofísica de Canarias, 38200, La Laguna, SpainInstituto de Astrofísica de Canarias, 38200, La Laguna, SpainInstituto de Astrofísica de Canarias, 38200, La Laguna, SpainA semiempirical method for estimating the error and optimum number of sampled levels in precipitable water vapour (PWV) determinations from atmospheric radiosoundings is proposed. Two terms have been considered: the uncertainties in the measurements and the sampling error. Also, the uncertainty has been separated in the variance and covariance components. The sampling and covariance components have been modelled from an empirical dataset of 205 high-vertical-resolution radiosounding profiles, equipped with Vaisala RS80 and RS92 sondes at four different locations: Güímar (GUI) in Tenerife, at sea level, and the astronomical observatory at Roque de los Muchachos (ORM, 2300 m a.s.l.) on La Palma (both on the Canary Islands, Spain), Lindenberg (LIN) in continental Germany, and Ny-Ålesund (NYA) in the Svalbard Islands, within the Arctic Circle. The balloons at the ORM were launched during intensive and unique site-testing runs carried out in 1990 and 1995, while the data for the other sites were obtained from radiosounding stations operating for a period of 1 year (2013–2014). The PWV values ranged between ∼  0.9 and ∼  41 mm. The method sub-samples the profile for error minimization. The result is the minimum error and the optimum number of levels. <br><br> The results obtained in the four sites studied showed that the ORM is the driest of the four locations and the one with the fastest vertical decay of PWV. The exponential autocorrelation pressure lags ranged from 175 hPa (ORM) to 500 hPa (LIN). The results show a coherent behaviour with no biases as a function of the profile. The final error is roughly proportional to PWV whereas the optimum number of levels (<i>N</i><sub>0</sub>) is the reverse. The value of <i>N</i><sub>0</sub> is less than 400 for 77 % of the profiles and the absolute errors are always &lt;  0.6 mm. The median relative error is 2.0&thinsp;±  0.7&thinsp;% and the 90th percentile <i>P</i><sub>90</sub> = 4.6 %. Therefore, whereas a radiosounding samples at least <i>N</i><sub>0</sub> uniform vertical levels, depending on the water vapour content and distribution of the atmosphere, the error in the PWV estimate is likely to stay below ≈  3 %, even for dry conditions.http://www.atmos-meas-tech.net/9/4759/2016/amt-9-4759-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. A. Castro-Almazán
G. Pérez-Jordán
C. Muñoz-Tuñón
spellingShingle J. A. Castro-Almazán
G. Pérez-Jordán
C. Muñoz-Tuñón
A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data
Atmospheric Measurement Techniques
author_facet J. A. Castro-Almazán
G. Pérez-Jordán
C. Muñoz-Tuñón
author_sort J. A. Castro-Almazán
title A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data
title_short A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data
title_full A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data
title_fullStr A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data
title_full_unstemmed A semiempirical error estimation technique for PWV derived from atmospheric radiosonde data
title_sort semiempirical error estimation technique for pwv derived from atmospheric radiosonde data
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2016-09-01
description A semiempirical method for estimating the error and optimum number of sampled levels in precipitable water vapour (PWV) determinations from atmospheric radiosoundings is proposed. Two terms have been considered: the uncertainties in the measurements and the sampling error. Also, the uncertainty has been separated in the variance and covariance components. The sampling and covariance components have been modelled from an empirical dataset of 205 high-vertical-resolution radiosounding profiles, equipped with Vaisala RS80 and RS92 sondes at four different locations: Güímar (GUI) in Tenerife, at sea level, and the astronomical observatory at Roque de los Muchachos (ORM, 2300 m a.s.l.) on La Palma (both on the Canary Islands, Spain), Lindenberg (LIN) in continental Germany, and Ny-Ålesund (NYA) in the Svalbard Islands, within the Arctic Circle. The balloons at the ORM were launched during intensive and unique site-testing runs carried out in 1990 and 1995, while the data for the other sites were obtained from radiosounding stations operating for a period of 1 year (2013–2014). The PWV values ranged between ∼  0.9 and ∼  41 mm. The method sub-samples the profile for error minimization. The result is the minimum error and the optimum number of levels. <br><br> The results obtained in the four sites studied showed that the ORM is the driest of the four locations and the one with the fastest vertical decay of PWV. The exponential autocorrelation pressure lags ranged from 175 hPa (ORM) to 500 hPa (LIN). The results show a coherent behaviour with no biases as a function of the profile. The final error is roughly proportional to PWV whereas the optimum number of levels (<i>N</i><sub>0</sub>) is the reverse. The value of <i>N</i><sub>0</sub> is less than 400 for 77 % of the profiles and the absolute errors are always &lt;  0.6 mm. The median relative error is 2.0&thinsp;±  0.7&thinsp;% and the 90th percentile <i>P</i><sub>90</sub> = 4.6 %. Therefore, whereas a radiosounding samples at least <i>N</i><sub>0</sub> uniform vertical levels, depending on the water vapour content and distribution of the atmosphere, the error in the PWV estimate is likely to stay below ≈  3 %, even for dry conditions.
url http://www.atmos-meas-tech.net/9/4759/2016/amt-9-4759-2016.pdf
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