Description
The Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery dataset consists of browse only imagery showing dust aerosol optical thickness and wind speed/direction from the Goddard Earth Observing System Model, version 5 (GEOS-5). These data are used to see how the Saharan Air Layer (SAL) affects hurricane development during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environmental and storm-scale internal processes, addressing the controversial role of the SAL in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 11, 2014 and October 5, 2014 at 3-hour intervals in PNG format.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View information related to this dataset | HTML | HS3 Collection DOI | Open resource |
| View this dataset's publications | HTML | NASA’s Hurricane and Severe Storm Sentinel (HS3) Investigation | Open resource |
| View information related to this dataset | HTML | NASA Hurricane and Severe Storm Sentinel mission | Open resource |
| View documentation related to this dataset | HTML | Instructions for citing GHRC data | Open resource |
| The dataset's project home page | HTML | HS3 Project Home Page | Open resource |
| Get a related visualization | PNG | Sample Browse Image | Open resource |
| View documentation related to this dataset | The guide document contains detailed information about the dataset | Open resource | |
| View documentation related to this dataset | The GEOS-5 atmospheric general circulation model: Mean climate and development from MERRA to Fortuna | 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 |