This data set is derived from measurements collected in situ by the NASA DC8 during the Tropical Cloud Climate Composition Coupling Experiment (TC4) that was conducted during July and August, 2007 (Toon et al., 2010). During this experiment the DC8 was based in San Jose, Costa Rica and sampled clouds in the maritime region of the Eastern Pacific and adjoining continental areas. The primary objective of the DC8 during this deployment was to sample ice clouds associated with convective activity. While the vast majority of the data are from ice-phase clouds that have recent association with convection, other types of clouds such as boundary layer clouds and active convection were also sampled and are represented in this data set. The derived data set, as compiled in this delivery, includes approximately 15,000 5-second averaged measurements collected by the NASA DC8.
DC8-NASA
 
dc8-nasa > In-Situ Data for Microphysical Retrievals: TC4, 2007Data Source Type(s) > PI • Guest
Purpose
The main purpose of this dataset is to utilize existing in situ data to better characterize uncertainties in the retrieval of cloud and precipitation microphysical properties using ground- and space-based remote sensing data and to determine if certain combinations of frequencies and radar-measureable quantities provide information beyond what might be known simply from airborne climatologies.
Primary Measurements
Data Details
Developed By | Gerald Mace |
Contact | Shuaiqi Tang |
Resource(s) |
Data Directory ReadMe |
Data format | netcdf |
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 addtional details. |
Access Restriction | No access constraints are associated with this data. |
Use Restriction | No use constraints are associated with this data. |
Citations | Mace and Benson, 2016: Diagnosing Ice Cloud Microphysical Process Information from Remote Sensing Measurements; A Feasibility Study Using Aircraft Data. Submitted to JAMC |