Next Article in Journal
Introducing a New Remote Sensing-Based Model for Forecasting Forest Fire Danger Conditions at a Four-Day Scale
Next Article in Special Issue
Winds of Change for Future Operational AMV at EUMETSAT
Previous Article in Journal
Cross Sensor Simulation of Tomographic SAR Stacks
Previous Article in Special Issue
Development and Intercomparison Study of an Atmospheric Motion Vector Retrieval Algorithm for GEO-KOMPSAT-2A
Open AccessArticle

Joint 3D-Wind Retrievals with Stereoscopic Views from MODIS and GOES

Carr Astronautics, 6404 Ivy Lane, Suite 333, Greenbelt, MD 20770, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20770, USA
Science Systems and Applications, Inc., 10210 Greenbelt Road, Suite 600, Lanham, MD 20706, USA
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(18), 2100;
Received: 31 July 2019 / Revised: 26 August 2019 / Accepted: 3 September 2019 / Published: 9 September 2019
(This article belongs to the Special Issue Satellite-Derived Wind Observations)
Atmospheric motion vectors (AMVs), derived by tracking patterns, represent the winds in a layer characteristic of the pattern. AMV height (or pressure), important for applications in atmospheric research and operational meteorology, is usually assigned using observed IR brightness temperatures with a modeled atmosphere and can be inaccurate. Stereoscopic tracking provides a direct geometric height measurement of the pattern that an AMV represents. We extend our previous work with multi-angle imaging spectro–radiometer (MISR) and GOES to moderate resolution imaging spectroradiometer (MODIS) and the GOES-R series advanced baseline imager (ABI). MISR is a unique satellite instrument for stereoscopy with nine angular views along track, but its images have a narrow (380 km) swath and no thermal IR channels. MODIS provides a much wider (2330 km) swath and eight thermal IR channels that pair well with all but two ABI channels, offering a rich set of potential applications. Given the similarities between MODIS and VIIRS, our methods should also yield similar performance with VIIRS. Our methods, as enabled by advanced sensors like MODIS and ABI, require high-accuracy geographic registration in both systems but no synchronization of observations. AMVs are retrieved jointly with their heights from the disparities between triplets of ABI scenes and the paired MODIS granule. We validate our retrievals against MISR-GOES retrievals, operational GOES wind products, and by tracking clear-sky terrain. We demonstrate that the 3D-wind algorithm can produce high-quality AMV and height measurements for applications from the planetary boundary layer (PBL) to the upper troposphere, including cold-air outbreaks, wildfire smoke plumes, and hurricanes. View Full-Text
Keywords: 3D-winds; atmospheric motion vectors (AMVs); MODIS; GOES-R; ABI; planetary boundary layer (PBL); stereo imaging; parallax 3D-winds; atmospheric motion vectors (AMVs); MODIS; GOES-R; ABI; planetary boundary layer (PBL); stereo imaging; parallax
Show Figures

Graphical abstract

MDPI and ACS Style

Carr, J.L.; Wu, D.L.; Wolfe, R.E.; Madani, H.; Lin, G.G.; Tan, B. Joint 3D-Wind Retrievals with Stereoscopic Views from MODIS and GOES. Remote Sens. 2019, 11, 2100.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop