Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data

We present a practical method to continuously calibrate Raman lidar observations of water vapor mixing ratio profiles. The water vapor profile measured with the multiwavelength polarization Raman lidar PollyXT is calibrated by means of co-located AErosol RObotic NETwork (AERONET) sun photometer obse...

Full description

Bibliographic Details
Main Authors: Dai, Guangyao, Althausen, Dietrich, Hofer, Julian, Engelmann, Ronny, Seifert, Patric, Bühl, Johannes, Mamouri, Rodanthi-Elisavet, Wu, Songhua, Ansmann, Albert
Format: Article in Journal/Newspaper
Language:English
Published: München : European Geopyhsical Union 2018
Subjects:
550
Online Access:https://doi.org/10.34657/822
https://oa.tib.eu/renate/handle/123456789/873
id ftleibnizopen:oai:oai.leibnizopen.de:tN-Om4YBdbrxVwz6zWD1
record_format openpolar
spelling ftleibnizopen:oai:oai.leibnizopen.de:tN-Om4YBdbrxVwz6zWD1 2023-05-15T13:07:08+02:00 Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data Dai, Guangyao Althausen, Dietrich Hofer, Julian Engelmann, Ronny Seifert, Patric Bühl, Johannes Mamouri, Rodanthi-Elisavet Wu, Songhua Ansmann, Albert 2018 application/pdf https://doi.org/10.34657/822 https://oa.tib.eu/renate/handle/123456789/873 eng eng München : European Geopyhsical Union CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ CC-BY Atmospheric Measurement Techniques, Volume 11, Issue 5, Page 2735-2748 AERONET calibration data set lidar measurement method mixing ratio numerical method observational method photometer precipitable water radiosonde relative humidity temperature profile uncertainty analysis water vapor 550 article Text 2018 ftleibnizopen https://doi.org/10.34657/822 2023-03-01T07:29:58Z We present a practical method to continuously calibrate Raman lidar observations of water vapor mixing ratio profiles. The water vapor profile measured with the multiwavelength polarization Raman lidar PollyXT is calibrated by means of co-located AErosol RObotic NETwork (AERONET) sun photometer observations and Global Data Assimilation System (GDAS) temperature and pressure profiles. This method is applied to lidar observations conducted during the Cyprus Cloud Aerosol and Rain Experiment (CyCARE) in Limassol, Cyprus. We use the GDAS temperature and pressure profiles to retrieve the water vapor density. In the next step, the precipitable water vapor from the lidar observations is used for the calibration of the lidar measurements with the sun photometer measurements. The retrieved calibrated water vapor mixing ratio from the lidar measurements has a relative uncertainty of 11 % in which the error is mainly caused by the error of the sun photometer measurements. During CyCARE, nine measurement cases with cloud-free and stable meteorological conditions are selected to calculate the precipitable water vapor from the lidar and the sun photometer observations. The ratio of these two precipitable water vapor values yields the water vapor calibration constant. The calibration constant for the PollyXT Raman lidar is 6.56 g kg−1 ± 0.72 g kg−1 (with a statistical uncertainty of 0.08 g kg−1 and an instrumental uncertainty of 0.72 g kg−1). To check the quality of the water vapor calibration, the water vapor mixing ratio profiles from the simultaneous nighttime observations with Raman lidar and Vaisala radiosonde sounding are compared. The correlation of the water vapor mixing ratios from these two instruments is determined by using all of the 19 simultaneous nighttime measurements during CyCARE. Excellent agreement with the slope of 1.01 and the R2 of 0.99 is found. One example is presented to demonstrate the full potential of a well-calibrated Raman lidar. The relative humidity profiles from lidar, GDAS (simulation) and ... Article in Journal/Newspaper Aerosol Robotic Network LeibnizOpen (The Leibniz Association)
institution Open Polar
collection LeibnizOpen (The Leibniz Association)
op_collection_id ftleibnizopen
language English
topic AERONET
calibration
data set
lidar
measurement method
mixing ratio
numerical method
observational method
photometer
precipitable water
radiosonde
relative humidity
temperature profile
uncertainty analysis
water vapor
550
spellingShingle AERONET
calibration
data set
lidar
measurement method
mixing ratio
numerical method
observational method
photometer
precipitable water
radiosonde
relative humidity
temperature profile
uncertainty analysis
water vapor
550
Dai, Guangyao
Althausen, Dietrich
Hofer, Julian
Engelmann, Ronny
Seifert, Patric
Bühl, Johannes
Mamouri, Rodanthi-Elisavet
Wu, Songhua
Ansmann, Albert
Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data
topic_facet AERONET
calibration
data set
lidar
measurement method
mixing ratio
numerical method
observational method
photometer
precipitable water
radiosonde
relative humidity
temperature profile
uncertainty analysis
water vapor
550
description We present a practical method to continuously calibrate Raman lidar observations of water vapor mixing ratio profiles. The water vapor profile measured with the multiwavelength polarization Raman lidar PollyXT is calibrated by means of co-located AErosol RObotic NETwork (AERONET) sun photometer observations and Global Data Assimilation System (GDAS) temperature and pressure profiles. This method is applied to lidar observations conducted during the Cyprus Cloud Aerosol and Rain Experiment (CyCARE) in Limassol, Cyprus. We use the GDAS temperature and pressure profiles to retrieve the water vapor density. In the next step, the precipitable water vapor from the lidar observations is used for the calibration of the lidar measurements with the sun photometer measurements. The retrieved calibrated water vapor mixing ratio from the lidar measurements has a relative uncertainty of 11 % in which the error is mainly caused by the error of the sun photometer measurements. During CyCARE, nine measurement cases with cloud-free and stable meteorological conditions are selected to calculate the precipitable water vapor from the lidar and the sun photometer observations. The ratio of these two precipitable water vapor values yields the water vapor calibration constant. The calibration constant for the PollyXT Raman lidar is 6.56 g kg−1 ± 0.72 g kg−1 (with a statistical uncertainty of 0.08 g kg−1 and an instrumental uncertainty of 0.72 g kg−1). To check the quality of the water vapor calibration, the water vapor mixing ratio profiles from the simultaneous nighttime observations with Raman lidar and Vaisala radiosonde sounding are compared. The correlation of the water vapor mixing ratios from these two instruments is determined by using all of the 19 simultaneous nighttime measurements during CyCARE. Excellent agreement with the slope of 1.01 and the R2 of 0.99 is found. One example is presented to demonstrate the full potential of a well-calibrated Raman lidar. The relative humidity profiles from lidar, GDAS (simulation) and ...
format Article in Journal/Newspaper
author Dai, Guangyao
Althausen, Dietrich
Hofer, Julian
Engelmann, Ronny
Seifert, Patric
Bühl, Johannes
Mamouri, Rodanthi-Elisavet
Wu, Songhua
Ansmann, Albert
author_facet Dai, Guangyao
Althausen, Dietrich
Hofer, Julian
Engelmann, Ronny
Seifert, Patric
Bühl, Johannes
Mamouri, Rodanthi-Elisavet
Wu, Songhua
Ansmann, Albert
author_sort Dai, Guangyao
title Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data
title_short Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data
title_full Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data
title_fullStr Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data
title_full_unstemmed Calibration of Raman lidar water vapor profiles by means of AERONET photometer observations and GDAS meteorological data
title_sort calibration of raman lidar water vapor profiles by means of aeronet photometer observations and gdas meteorological data
publisher München : European Geopyhsical Union
publishDate 2018
url https://doi.org/10.34657/822
https://oa.tib.eu/renate/handle/123456789/873
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Measurement Techniques, Volume 11, Issue 5, Page 2735-2748
op_rights CC BY 4.0 Unported
https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.34657/822
_version_ 1766036892628811776