Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach
In situ measurements of cloud droplet number concentration N are limited by the sampled cloud volume. Satellite retrievals of N suffer from inherent uncertainties, spatial averaging, and retrieval problems arising from the commonly assumed strictly adiabatic vertical profiles of cloud properties. To...
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ftdoajarticles:oai:doaj.org/article:86a838d45ff84ca2b4d10edb8de9af85 2023-05-15T18:50:43+02:00 Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach K. Wolf A. Ehrlich M. Jacob S. Crewell M. Wirth M. Wendisch 2019-03-01T00:00:00Z https://doi.org/10.5194/amt-12-1635-2019 https://doaj.org/article/86a838d45ff84ca2b4d10edb8de9af85 EN eng Copernicus Publications https://www.atmos-meas-tech.net/12/1635/2019/amt-12-1635-2019.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-12-1635-2019 1867-1381 1867-8548 https://doaj.org/article/86a838d45ff84ca2b4d10edb8de9af85 Atmospheric Measurement Techniques, Vol 12, Pp 1635-1658 (2019) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2019 ftdoajarticles https://doi.org/10.5194/amt-12-1635-2019 2022-12-31T14:48:08Z In situ measurements of cloud droplet number concentration N are limited by the sampled cloud volume. Satellite retrievals of N suffer from inherent uncertainties, spatial averaging, and retrieval problems arising from the commonly assumed strictly adiabatic vertical profiles of cloud properties. To improve retrievals of N it is suggested in this paper to use a synergetic combination of passive and active airborne remote sensing measurement, to reduce the uncertainty of N retrievals, and to bridge the gap between in situ cloud sampling and global averaging. For this purpose, spectral solar radiation measurements above shallow trade wind cumulus were combined with passive microwave and active radar and lidar observations carried out during the second Next Generation Remote Sensing for Validation Studies (NARVAL-II) campaign with the High Altitude and Long Range Research Aircraft (HALO) in August 2016. The common technique to retrieve N is refined by including combined measurements and retrievals of cloud optical thickness τ , liquid water path (LWP), cloud droplet effective radius r eff , and cloud base and top altitude. Three approaches are tested and applied to synthetic measurements and two cloud scenarios observed during NARVAL-II . Using the new combined retrieval technique, errors in N due to the adiabatic assumption have been reduced significantly. Article in Journal/Newspaper narval narval Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 12 3 1635 1658 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 K. Wolf A. Ehrlich M. Jacob S. Crewell M. Wirth M. Wendisch Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
In situ measurements of cloud droplet number concentration N are limited by the sampled cloud volume. Satellite retrievals of N suffer from inherent uncertainties, spatial averaging, and retrieval problems arising from the commonly assumed strictly adiabatic vertical profiles of cloud properties. To improve retrievals of N it is suggested in this paper to use a synergetic combination of passive and active airborne remote sensing measurement, to reduce the uncertainty of N retrievals, and to bridge the gap between in situ cloud sampling and global averaging. For this purpose, spectral solar radiation measurements above shallow trade wind cumulus were combined with passive microwave and active radar and lidar observations carried out during the second Next Generation Remote Sensing for Validation Studies (NARVAL-II) campaign with the High Altitude and Long Range Research Aircraft (HALO) in August 2016. The common technique to retrieve N is refined by including combined measurements and retrievals of cloud optical thickness τ , liquid water path (LWP), cloud droplet effective radius r eff , and cloud base and top altitude. Three approaches are tested and applied to synthetic measurements and two cloud scenarios observed during NARVAL-II . Using the new combined retrieval technique, errors in N due to the adiabatic assumption have been reduced significantly. |
format |
Article in Journal/Newspaper |
author |
K. Wolf A. Ehrlich M. Jacob S. Crewell M. Wirth M. Wendisch |
author_facet |
K. Wolf A. Ehrlich M. Jacob S. Crewell M. Wirth M. Wendisch |
author_sort |
K. Wolf |
title |
Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
title_short |
Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
title_full |
Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
title_fullStr |
Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
title_full_unstemmed |
Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
title_sort |
improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/amt-12-1635-2019 https://doaj.org/article/86a838d45ff84ca2b4d10edb8de9af85 |
genre |
narval narval |
genre_facet |
narval narval |
op_source |
Atmospheric Measurement Techniques, Vol 12, Pp 1635-1658 (2019) |
op_relation |
https://www.atmos-meas-tech.net/12/1635/2019/amt-12-1635-2019.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-12-1635-2019 1867-1381 1867-8548 https://doaj.org/article/86a838d45ff84ca2b4d10edb8de9af85 |
op_doi |
https://doi.org/10.5194/amt-12-1635-2019 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
12 |
container_issue |
3 |
container_start_page |
1635 |
op_container_end_page |
1658 |
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1766244470899081216 |