A High-Resolution Merged Wind Dataset for DYNAMO: Progress and Future Plans

A high‐resolution merged wind dataset for DYNAMO: Progress and future plans Timothy J. Lang NASA Marshall Space Flight Center John Mecikalski, Xuanli Li, Themis Chronis, Tyler Castillo, Kacie Hoover University of Alabama in Huntsville Alan Brewer, James Churnside, Brandi McCarty NOAA Earth SystemResearch Laboratory Paul Hein, Steve Rutledge, Brenda Dolan, Alyssa Matthews, Elizabeth Thompson Colorado State University In order to support research on optimal data assimilation methods for the Cyclone Global Navigation Satellite System (CYGNSS), launching in 2016, work has been ongoing to produce a high‐resolution merged wind dataset for the Dynamics of the Madden Julian Oscillation( DYNAMO) field campaign, which took place during late 2011/early 2012. The winds are produced by assimilating DYNAMOobservations into the Weather Research and Forecasting (WRF) three‐dimensional variational (3DVAR) system. Data sources from the DYNAMOcampaign include the upper‐air sounding network, radial velocitiesfrom the radar network, vector winds from the Advanced Scatterometer(ASCAT) and Oceansat‐2 Scatterometer(OSCAT) satellite instruments, the NOAA High Resolution Doppler Lidar (HRDL), and several others. In order the prep them for 3DVAR, significant additional quality control work is being done for the currently available TOGA and SMART‐R radar datasets, including automatically dealiasing radial velocitiesand correcting for intermittent TOGA antenna azimuth angle errors. The assimilated winds are being made available as model output fields from WRF on two separate grids with different horizontal resolutions ‐ a 3‐km grid focusing on the main DYNAMO quadrilateral(i.e., Gan Island, the