Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements
The satellite-based cloud condensation nuclei (CCN) proxies used to quantify the aerosol-cloud interactions (ACIs) are column integrated and do not guarantee the vertical co-location of aerosols and clouds. This has encouraged the use of height-resolved measurements of spaceborne lidars for ACI stud...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/14/3342 |
| _version_ | 1797444057739296768 |
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| author | Goutam Choudhury Matthias Tesche |
| author_facet | Goutam Choudhury Matthias Tesche |
| author_sort | Goutam Choudhury |
| collection | DOAJ |
| description | The satellite-based cloud condensation nuclei (CCN) proxies used to quantify the aerosol-cloud interactions (ACIs) are column integrated and do not guarantee the vertical co-location of aerosols and clouds. This has encouraged the use of height-resolved measurements of spaceborne lidars for ACI studies and led to advancements in lidar-based CCN retrieval algorithms. In this study, we present a comparison between the number concentration of CCN (<i>n</i><sub>CCN</sub>) derived from ground-based in situ and spaceborne lidar cloud-aerosol lidar with orthogonal polarization (CALIOP) measurements. On analysing their monthly time series, we found that about 88% of CALIOP <i>n</i><sub>CCN</sub> estimates remained within a factor of 1.5 of the in situ measurements. Overall, the CALIOP estimates of monthly <i>n</i><sub>CCN</sub> were in good agreement with the in situ measurements with a normalized mean error of 71%, normalized mean bias of 39% and correlation coefficient of 0.68. Based on our comparison results, we point out the necessary measures that should be considered for global <i>n</i><sub>CCN</sub> retrieval. Our results show the competence of CALIOP in compiling a global height- and type-resolved <i>n</i><sub>CCN</sub> dataset for use in ACI studies. |
| first_indexed | 2024-03-09T13:06:04Z |
| format | Article |
| id | doaj.art-ce657b4b553e4582a49b404ecc131976 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T13:06:04Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ce657b4b553e4582a49b404ecc1319762023-11-30T21:48:52ZengMDPI AGRemote Sensing2072-42922022-07-011414334210.3390/rs14143342Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface MeasurementsGoutam Choudhury0Matthias Tesche1Leipzig Institute for Meteorology, Leipzig University, 04103 Leipzig, GermanyLeipzig Institute for Meteorology, Leipzig University, 04103 Leipzig, GermanyThe satellite-based cloud condensation nuclei (CCN) proxies used to quantify the aerosol-cloud interactions (ACIs) are column integrated and do not guarantee the vertical co-location of aerosols and clouds. This has encouraged the use of height-resolved measurements of spaceborne lidars for ACI studies and led to advancements in lidar-based CCN retrieval algorithms. In this study, we present a comparison between the number concentration of CCN (<i>n</i><sub>CCN</sub>) derived from ground-based in situ and spaceborne lidar cloud-aerosol lidar with orthogonal polarization (CALIOP) measurements. On analysing their monthly time series, we found that about 88% of CALIOP <i>n</i><sub>CCN</sub> estimates remained within a factor of 1.5 of the in situ measurements. Overall, the CALIOP estimates of monthly <i>n</i><sub>CCN</sub> were in good agreement with the in situ measurements with a normalized mean error of 71%, normalized mean bias of 39% and correlation coefficient of 0.68. Based on our comparison results, we point out the necessary measures that should be considered for global <i>n</i><sub>CCN</sub> retrieval. Our results show the competence of CALIOP in compiling a global height- and type-resolved <i>n</i><sub>CCN</sub> dataset for use in ACI studies.https://www.mdpi.com/2072-4292/14/14/3342CCN validationCALIPSO validationOMCAMPOLIPHONaerosol-cloud interactions |
| spellingShingle | Goutam Choudhury Matthias Tesche Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements Remote Sensing CCN validation CALIPSO validation OMCAM POLIPHON aerosol-cloud interactions |
| title | Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements |
| title_full | Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements |
| title_fullStr | Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements |
| title_full_unstemmed | Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements |
| title_short | Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements |
| title_sort | assessment of caliop derived ccn concentrations by in situ surface measurements |
| topic | CCN validation CALIPSO validation OMCAM POLIPHON aerosol-cloud interactions |
| url | https://www.mdpi.com/2072-4292/14/14/3342 |
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