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Articles | Volume 17, issue 12
https://doi.org/10.5194/amt-17-3679-2024
https://doi.org/10.5194/amt-17-3679-2024
Research article
 | 
19 Jun 2024
Research article |  | 19 Jun 2024

Deriving cloud droplet number concentration from surface-based remote sensors with an emphasis on lidar measurements

Gerald G. Mace

Data sets

RV Investigator BOM Atmospheric Data Overview (2016 onwards) Alain Protat et al. https://doi.org/10.25919/5f688fcc97166

MODIS atmosphere L2 cloud product (06_L2), Terra Steve Platnick et al. https://doi.org/10.5067/MODIS/MOD06_L2.006

MODIS atmosphere L2 cloud product (06_L2), Aqua Steve Platnick et al. https://doi.org/10.5067/MODIS/MYD06_L2.006

Cloud Condensation Nuclei Particle Counter (AOSCCN1COLAVG) Annette Koontz et al. https://doi.org/10.5439/1255094

MWR Retrievals (MWRRET1LILJCLOU) Damao Zhang https://doi.org/10.5439/1027369

Balloon-Borne Sounding System (SONDEWNPN) Evan Keeler et al. https://doi.org/10.5439/1595321

Microwave Radiometer (MWRLOS) Maria Cadeddu and Matt Tuftedal https://doi.org/10.5439/1999490

Marine W-Band (95 GHz) ARM Cloud Radar (MWACR) Iosif Lindenmaier et al. https://doi.org/10.5439/1973911

Micropulse Lidar (MPLPOLFS) Paytsar Muradyan et al. https://doi.org/10.5439/1320657

Marine Surface Meteorological Instrumentation (AADMET) Erol Cromwell and Mike Reynolds https://doi.org/10.5439/1593144

Navigational Location and Attitude (NAV) Scott Walton https://doi.org/10.5439/1974348

Camera That Monitors a Site Area (CAMSEASTATE), Martin Stuefer et al. https://doi.org/10.5439/1971078

Cloud mask from Micropulse Lidar (30SMPLCMASK1ZWANG) C. Sivaraman et al. https://doi.org/10.5439/1508389

NSF/NCAR GV HIAPER Raw 2D-S Imagery, Version 1.0 UCAR/NCAR - Earth Observing Laboratory https://doi.org/10.26023/M3KV-1SS0-DF10

SOCRATES: High Rate (HRT - 25 sps) Navigation, State Parameter, and Microphysics Flight-Level Data, Version 1.0 UCAR/NCAR - Earth Observing Laboratory https://doi.org/10.26023/K5VQ-K6KY-W610

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Short summary
The number of cloud droplets per unit volume, Nd, in a cloud is important for understanding...
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