References

AMT

Atmospheric Measurement Techniques

AMT

Atmos. Meas. Tech.

1867-8548

Copernicus Publications

Göttingen, Germany

10.5194/amt-8-1425-2015

Water vapor observations up to the lower stratosphere through the Raman lidar during the Maïdo Lidar Calibration Campaign

Dionisi

¹ ² Keckhut

¹ Courcoux

¹ Hauchecorne

https://orcid.org/0000-0001-9888-6994

¹ Porteneuve

¹ Baray

J. L.

https://orcid.org/0000-0003-4711-6310

³ Leclair de Bellevue

⁴ Vérèmes

⁴ ⁵ Gabarrot

⁵ Payen

⁴ ⁵ Decoupes

⁴ ⁵ Cammas

J. P.

⁴ ⁵

Laboratoire ATmosphères, Milieux, Observations Spatiales-IPSL, UMR8190, CNRS/INSU, UVSQ-UPMC, UniverSud Paris, Guyancourt, France

Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale delle Ricerche, Rome, Italy

LaMP (Laboratoire de Météorologie Physique), UMR6016, Observatoire de Physique du Globe de Clermont-Ferrand, CNRS/INSU – Université Blaise Pascal, Clermont-Ferrand, France

LACy (Laboratoire de l'Atmosphère et des Cyclones), UMR8105, CNRS – Université de la Réunion – Météo-France, St-Denis, Réunion, France

OSU-Réunion (Observatoire de Sciences de l'Univers, UMS 3365), CNRS – Université de la Réunion, St-Denis, Réunion, France

20 03 2015

8 3 1425 1445

2015

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/

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The full text article is available as a PDF file from https://amt.copernicus.org/articles/8/1425/2015/amt-8-1425-2015.pdf

A new lidar system devoted to tropospheric and lower stratospheric water vapor measurements has been installed at the Maïdo altitude station facility of Réunion island, in the southern subtropics. To evaluate the performances and the capabilities of the new system with a particular focus on UTLS (Upper Troposphere Lower Stratosphere) measurements, the Maïdo Lidar Calibration Campaign (MALICCA) was performed in April 2013. Varying the characteristics of the transmitter and the receiver components, different system configuration scenarios were tested and possible parasite signals (fluorescent contamination, rejection) were investigated. A hybrid calibration methodology has been set up and validated to insure optimal lidar calibration stability with time. In particular, the receiver transmittance is monitored through the calibration lamp method that, at the moment, can detect transmittance variations greater than 10–15%. Calibration coefficients are then calculated through the hourly values of IWV (Integrated Water Vapor) provided by the co-located GPS. The comparison between the constants derived by GPS and Vaisala RS92 radiosondes launched at Maïdo during MALICCA, points out an acceptable agreement in terms of accuracy of the mean calibration value (with a difference of approximately 2–3%), but a significant difference in terms of variability (14% vs. 7–9%, for GPS and RS92 calibration procedures, respectively). We obtained a relatively good agreement between the lidar measurements and 15 co-located and simultaneous RS92 radiosondes. A relative difference below 10% is measured in the low and middle troposphere (2–10 km). The upper troposphere (up to 15 km) is characterized by a larger spread (approximately 20%), because of the increasing distance between the two sensors. To measure water vapor in the UTLS region, nighttime and monthly water vapor profiles are presented and compared. The good agreement between the lidar monthly profile and the mean WVMR profile measured by satellite MLS (Microwave Limb Sounder) has been used as a quality control procedure of the lidar product, attesting the absence of significant wet biases and validating the calibration procedure. Due to its performance and location, the MAIDO H2O lidar will become a reference instrument in the southern subtropics, insuring the long-term survey of the vertical distribution of water vapor. Furthermore, this system allows the investigation of several scientific themes, such as stratosphere–troposphere exchange, tropospheric dynamics in the subtropics, and links between cirrus clouds and water vapor.

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