![Example figure produced by SAWC showing the observation number density (colors) of aircraft winds matched with Aeolus Rayleigh-clear winds at all levels for Sep 2019 - Aug 2020.](https://essic.umd.edu/wp-content/uploads/2023/12/MAP_Rotate.Nobs_Density.DEP_.centerlat0.2019090100-2020083118.x_Aeolus_RayClear_ReprocB11.y_Aircraft.SuperOb-1.gif)
First Official Public Release of the System for Analysis of Wind Collocations (SAWC)
The data and tools one needs for wind observation research all in one place.
The data and tools one needs for wind observation research all in one place.
ESSIC/CISESS Scientists Katherine Lukens (a former CISESS grad student), Kayo Ide, Hui Liu, and Ross Hoffman have a new article in the journal Atmospheric Measurement Techniques about their work with the NOAA/NESDIS Office of Projects, Planning, and Acquisition (OPPA) Technology Maturation Program (TMP). The need for highly accurate atmospheric wind observations is a high priority in the science community, particularly for numerical weather prediction (NWP). To address this need, this study leverages Aeolus wind lidar level-2B data provided by the European Space Agency (ESA) as a potential comparison standard to better characterize atmospheric motion vector (AMV) bias and uncertainty.