Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK

For a one-month period in summer 2020, a prototype Vaisala broadband differential absorption lidar (BB-DIAL) was deployed at a Met Office research site. It was compared with in-situ observations of humidity (93 radiosonde ascents and 27 of uncrewed aerial vehicle flights) and the Met Office 1.5 km r...

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Autores principales:	Catherine Gaffard, Zhihong Li, Dawn Harrison, Raisa Lehtinen, Reijo Roininen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	BB-DIAL water vapour profiling ground based remote sensing Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/43cb838627464790b216f63a5b0d4b88
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id	oai:doaj.org-article:43cb838627464790b216f63a5b0d4b88
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spelling	oai:doaj.org-article:43cb838627464790b216f63a5b0d4b882021-11-25T16:45:50ZEvaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK10.3390/atmos121115212073-4433https://doaj.org/article/43cb838627464790b216f63a5b0d4b882021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1521https://doaj.org/toc/2073-4433For a one-month period in summer 2020, a prototype Vaisala broadband differential absorption lidar (BB-DIAL) was deployed at a Met Office research site. It was compared with in-situ observations of humidity (93 radiosonde ascents and 27 of uncrewed aerial vehicle flights) and the Met Office 1.5 km resolution numerical weather prediction (NWP) model: UK Variable resolution model (UKV). The BB-DIAL was able to collect data up to the cloud base, in all-weather situations including rain, when it was possible to reach 3 km. The average maximum height was 1300 m, with 75% of the data reaching 1000 m and 35% extending to 1500 m. Compared with radiosondes, the standard deviation for the water vapour is between 5% and 10%. The comparison with the UKV is very encouraging, with a correlation of 0.90. The error against the radiosonde is smaller than against the UKV, which is encouraging for assimilation the BB-DIAL data in UKV. Some data quality issues, such as an increase in error and variable bias in the region of overlap between the far field and close field, spurious oscillations and an unrealistic dry layer above fog are identified. Despite these issues, the overall results from this assessment are promising in terms of potential benefit, instrument reliability and capturing significant humidity changes in the boundary layer.Catherine GaffardZhihong LiDawn HarrisonRaisa LehtinenReijo RoininenMDPI AGarticleBB-DIALwater vapour profilingground based remote sensingMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1521, p 1521 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	BB-DIAL water vapour profiling ground based remote sensing Meteorology. Climatology QC851-999
spellingShingle	BB-DIAL water vapour profiling ground based remote sensing Meteorology. Climatology QC851-999 Catherine Gaffard Zhihong Li Dawn Harrison Raisa Lehtinen Reijo Roininen Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK
description	For a one-month period in summer 2020, a prototype Vaisala broadband differential absorption lidar (BB-DIAL) was deployed at a Met Office research site. It was compared with in-situ observations of humidity (93 radiosonde ascents and 27 of uncrewed aerial vehicle flights) and the Met Office 1.5 km resolution numerical weather prediction (NWP) model: UK Variable resolution model (UKV). The BB-DIAL was able to collect data up to the cloud base, in all-weather situations including rain, when it was possible to reach 3 km. The average maximum height was 1300 m, with 75% of the data reaching 1000 m and 35% extending to 1500 m. Compared with radiosondes, the standard deviation for the water vapour is between 5% and 10%. The comparison with the UKV is very encouraging, with a correlation of 0.90. The error against the radiosonde is smaller than against the UKV, which is encouraging for assimilation the BB-DIAL data in UKV. Some data quality issues, such as an increase in error and variable bias in the region of overlap between the far field and close field, spurious oscillations and an unrealistic dry layer above fog are identified. Despite these issues, the overall results from this assessment are promising in terms of potential benefit, instrument reliability and capturing significant humidity changes in the boundary layer.
format	article
author	Catherine Gaffard Zhihong Li Dawn Harrison Raisa Lehtinen Reijo Roininen
author_facet	Catherine Gaffard Zhihong Li Dawn Harrison Raisa Lehtinen Reijo Roininen
author_sort	Catherine Gaffard
title	Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK
title_short	Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK
title_full	Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK
title_fullStr	Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK
title_full_unstemmed	Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK
title_sort	evaluation of a prototype broadband water-vapour profiling differential absorption lidar at cardington, uk
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/43cb838627464790b216f63a5b0d4b88
work_keys_str_mv	AT catherinegaffard evaluationofaprototypebroadbandwatervapourprofilingdifferentialabsorptionlidaratcardingtonuk AT zhihongli evaluationofaprototypebroadbandwatervapourprofilingdifferentialabsorptionlidaratcardingtonuk AT dawnharrison evaluationofaprototypebroadbandwatervapourprofilingdifferentialabsorptionlidaratcardingtonuk AT raisalehtinen evaluationofaprototypebroadbandwatervapourprofilingdifferentialabsorptionlidaratcardingtonuk AT reijoroininen evaluationofaprototypebroadbandwatervapourprofilingdifferentialabsorptionlidaratcardingtonuk
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Evaluation of a Prototype Broadband Water-Vapour Profiling Differential Absorption Lidar at Cardington, UK

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