These multi-wavelength lidar data were collected during the Combined HSRL and Raman lidar Measurement Study (CHARMS) IOP that occurred during July through September 2015 at SGP. During CHARMS the University of Wisconsin HSRL was located at SGP and acquired aerosol backscatter profiles at 532 nm and 1064 nm and aerosol backscatter, extinction, and depolarization profiles at 532 nm. The HSRL aerosol profiles, when combined with the aerosol backscatter and extinction profiles (355 nm) collected by the SGP Raman lidar, provide a suite of three aerosol backscatter (355, 532, 1064 nm) and two aerosol extinction (355, 532 nm) profiles for use in advanced aerosol microphysical retrievals. The data files in this PI product contain this suite of aerosol backscatter (355, 532, 1064), extinction (355, 532 nm), and depolarization (532 nm) profiles.
charms > CHARMS Combined Data SetData Source Type(s) > PI
Recent advances in both lidar retrieval theory and algorithm development demonstrate that vertically resolved retrievals using such multi-wavelength lidar measurements of aerosol backscatter and extinction can help constrain both the aerosol optical (e.g., complex refractive index, scattering, etc.) and microphysical properties (e.g., effective radius, concentrations) as well as provide qualitative aerosol classification. Based on this work, the NASA Langley Research Center (LaRC) HSRL group developed automated algorithms for classifying and retrieving aerosol optical and microphysical properties, demonstrated these retrievals using data from the unique NASA/LaRC airborne multi-wavelength HSRL-2 system, and validated the results using coincident airborne in situ data. The CHARMS data set was collected to attempt similar retrievals using ground-based lidar data at SGP.
|Developed By||Richard Ferrare | Tyler Thorsen|
|Content time range||24 July 2015 - 30 September 2015|
|Attribute accuracy||No formal attribute accuracy tests were conducted.|
|Positional accuracy||No formal positional accuracy tests were conducted.|
|Data Consistency and Completeness||Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.|
|Access Restriction||No access constraints are associated with this data.|
|Use Restriction||Users should contact PI and other investigators to learn more about the data.|
|File naming convention||sgp10bagohsrlfex1thorC1.co.YYYMMDD.HHMMSSSS.cdf (sgp, 10 min, bagohsrl=HSRL data included, fex1=Raman lidar, thor=Thorsen algorithm)|
|Directory Organization||no subdirectories|
Dawson K, R Ferrare, R Moore, M Clayton, T Thorsen, and E Eloranta. 2020. "Ambient Aerosol Hygroscopic Growth From Combined Raman Lidar and HSRL." Journal of Geophysical Research: Atmospheres, 125(7), e2019JD031708, 10.1029/2019JD031708.
Lv M, Z Wang, Z Li, T Luo, R Ferrare, D Liu, D Wu, J Mao, B Wan, F Zhang, and Y Wang. 2018. "Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data." Journal of Geophysical Research: Atmospheres, 123(11), 10.1029/2017JD028102.
Thorsen T, R Ferrare, C Hostetler, M Vaughan, and Q FU. 2017. "The impact of lidar detection sensitivity on assessing aerosol direct radiative effects." Geophysical Research Letters, 44(17), 10.1002/2017GL074521.
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