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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2019-140
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-140
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 May 2019

Research article | 14 May 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Temperature and water vapour measurements in the framework of NDACC

Benedetto De Rosa, Paolo Di Girolamo, and Donato Summa Benedetto De Rosa et al.
  • Scuola di Ingegneria, Università degli Studi della Basilicata, Potenza, 85100, Italy

Abstract. The Raman Lidar system BASIL entered the International Network for the Detection of Atmospheric Composition Change (NDACC) in 2012. Since then measurements were carried out routinely on a weekly basis. This manuscript reports specific measurement results from this effort, with a dedicated focus on temperature and water vapour profile measurements. The main objective of this research effort is to provide a characterization of the system performance. Measurements illustrated in this manuscript demonstrate the ability of BASIL to perform measurements of the temperature profile up to 50 km and of the water vapour mixing ratio profile up to 15 km, when considering an integration time of 2 h and a vertical resolution of 150 m, with measurement bias not exceeding 0.1 K and 0.1 g kg−1, respectively. Relative humidity profiling capability up to the tropopause is also demonstrated by combining simultaneous temperature and water vapour profile measurements.

Raman lidar measurements are compared with measurements from additional instruments, such as radiosondings and satellite sensors (IASI and AIRS), and with model re-analyses data (ECMWF and ECMWF-ERA). Comparisons in this paper cover the altitude region up to 15 km for water vapour mixing ratio and up to 50 km for the temperature. We focused our attention on four selected case studies collected during the first 2 years of operation of the system (November 2013–October 2015). Comparisons between BASIL and the different sensor/model data in terms of water vapour mixing ratio indicate a mean absolute/relative bias of −0.024 g kg−1 (or −3.9 %), 0.346 g kg−1 (or 37.5 %), 0.342 g kg−1 (or 36.8 %), −0.297 g kg−1 (or −25 %), −0.381 g kg−1 (or −31 %), when compared with radisondings, IASI, AIRS, ECMWF, ECMWF-ERA, respectively. For what concerns the comparisons in terms of temperature measurements, these reveal a mean absolute bias between BASIL and the radisondings, IASI, AIRS, ECMWF, ECMWF-ERA of −0.04, 0.48, 1.99, 0.14, 0.62 K, respectively. Based on the available dataset and benefiting from the circumstance that the Raman lidar BASIL could be compared with all other sensor/model data, it was possible to estimate the absolute bias of all sensors/datasets, this being 0.004 g kg−1/0.30 K, 0.021 g kg−1/−0.34 K, −0.35 g kg−1/0.18 K, −0.346 g kg−1/−1.63 K, 0.293 g kg−1/−0.16 K and 0.377 g kg−1/0.32 K for the water vapour mixing ratio/temperature profile measurements carried out by BASIL, the radisondings, IASI, AIRS, ECMWF, ECMWF-ERA, respectively.

Benedetto De Rosa et al.
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Status: open (until 09 Jul 2019)
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Short summary
Temperature and water vapour profiles measured by the lidar BASIL are compared with profiles from several sensors/models, namely radiosondings, the satellite sensors IASI and AIRS, and with model re-analyses data (ECMWF & ECMWF-ERA). The comparison effort allows assessing the performance of all considered sensors and models in terms of BIAS and RMS deviation. BASIL measurement quality is assess to be high enough for long-term monitoring of atmospheric composition and thermal structure changes.
Temperature and water vapour profiles measured by the lidar BASIL are compared with profiles...
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