Affiliation: Carr Astronautics Corp. and Climate & Radiation LaboratoryEvent Date: Wednesday, January 8, 2020
Location: ******Building 33, Room E125Time: 10:00 PM
GEO-GEO and GEO-LEO Stereo 3D Winds
Dong L. Wu (1) and James L. Carr (2)
1. NASA Goddard Space Flight Center, Greenbelt, MD 20770, USA
2. Carr Astronautics, 6404 Ivy Lane, Suite 333, Greenbelt, MD 20770, USA
Stereo observing can provide accurate height assignments for Atmospheric Motion Vectors (AMVs) by purely geometric means as opposed to relying on IR temperatures and a model atmosphere. Our recent work with NASA and NOAA uses one GOES-R satellite paired with either a second GOES-R satellite or the NASA Terra or Aqua spacecraft, to develop stereo capability in addition to rapid (10 min) refreshing images from GEO. This stereo method does not require synchronized observing between the two platforms, only a means of time tagging the pixels from each. The method does require highly accurate geo-registration, which is now available from the GOES-R series thanks to its advanced Image Navigation and Registration (INR) capabilities. Stereo observing with two GOES-R spacecraft can in principle be performed using all 16 bands of the ABI. When using MODIS, one can use 14 of the 16 ABI channels that are close spectral matches with MODIS, including window IR and water vapor bands. MISR, a multi-angle imager on the Terra satellite, is also well suited to observing in tandem with a GOES-R spacecraft but only in daylight. Our 3D-Winds algorithm is able to retrieve AMVs and their stereo height simultaneously, without requiring any radiometric calibration and a priori knowledge about atmospheric thermal structure as needed by the IR height assignment method. The 3D-Winds retrievals from MODIS-GOES show good (< 0.5 m/s in AMV and <200 m in height) uncertainties with 4 km sampling over the entire MODIS swath. As a promising technique to study atmospheric dynamics in planetary boundary layer (PBL) and near the tropopause, where are challenging for the IR height assignment method, the LEO-GEO and GEO-GEO stereo imaging offers a cost-effective solution that is scalable for different satellite constellations.
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