Aerosol profiling during the large scale field campaign CINDI-2
| dc.contributor.author | Apituley, A. | |
| dc.contributor.author | Van Roozendael, M. | |
| dc.contributor.author | Richter, A. | |
| dc.contributor.author | Wagner, T. | |
| dc.contributor.author | Friess, U. | |
| dc.contributor.author | Hendrick, F. | |
| dc.contributor.author | Kreher, K. | |
| dc.contributor.author | Tirpitz, J.-L. | |
| dc.date | 2018 | |
| dc.date.accessioned | 2018-04-26T12:49:59Z | |
| dc.date.available | 2018-04-26T12:49:59Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/6911 | |
| dc.description | For the validation of space borne observations of NO2 and other trace gases from hyperspectral imagers, ground based instruments based on the MAXDOAS technique are an excellent choice, since they rely on similar retrieval techniques as the observations from orbit. To ensure proper traceability of the MAXDOAS observations, a thorough validation and intercomparison is mandatory. Advanced MAXDOAS observation and retrieval techniques enable inferring vertical structure of trace gases and aerosols. These techniques and their results need validation by e.g. lidar techniques. For the proper understanding of the results from passive remote sensing techniques, independent observations are needed that include parameters needed to understand the light paths, i.e. in-situ aerosol observations of optical and microphysical properties, and essential are in particular the vertical profiles of aerosol optical properties by (Raman) lidar. The approach used in the CINDI-2 campaign held in Cabauw in 2016 is presented in this paper and the results will be discussed in the presentation at the conference. | |
| dc.language | eng | |
| dc.title | Aerosol profiling during the large scale field campaign CINDI-2 | |
| dc.type | Conference | |
| dc.subject.frascati | Earth and related Environmental sciences | |
| dc.audience | Scientific | |
| dc.source.title | EPJ Web of Conferences | |
| dc.source.volume | 176 | |
| dc.source.page | A10005 | |
| Orfeo.peerreviewed | No | |
| dc.identifier.doi | 10.1051/epjconf/201817610005 |
