NAMMA LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1

Description

The NAMMA Lidar Atmospheric Sensing Experiment (LASE) dataset used the LASE system using the Differential Absorption Lidar (DIAL) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as atmospheric scattering ratios on a logarithmic scale. Water vapor data are reported as mixing ratios (g/kg) on both a linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006.

Resources

Name Format Description Link
View documentation related to this dataset HTML The guide document contains detailed information about the dataset Open resource
View documentation related to this dataset HTML Instructions for citing GHRC data Open resource
The dataset's project home page HTML The home page for the project or program which sponsored the dataset Open resource
View a micro article on this dataset HTML Hurricane Micro Article Open resource
View the primary investigator's documentation for this dataset PDF Format Specication for Data Exchange Open resource
View the primary investigator's documentation for this dataset HTML Code to demonstrate reading LASE SOLVE/AFWEX data files Open resource
Get a related visualization HTML N/A Open resource
Get a related visualization GIF Sample browse image Open resource
Get a related visualization GIF Sample browse image Open resource
Get a related visualization GIF Sample browse image Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset HTML Files may be downloaded directly to your workstation from this link Open resource

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