html5-img
1 / 1

Author(s): Gary S. Wade, Zhenglong Li, James P. Nelson III, Jun Li, and Timothy J. Schmit

An improved version of the GOES Sounder retrieval algorithm is being implemented (in McIDAS), and put to the test, before going to “ops”.

zola
Download Presentation

Author(s): Gary S. Wade, Zhenglong Li, James P. Nelson III, Jun Li, and Timothy J. Schmit

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An improved version of the GOES Sounder retrieval algorithm is being implemented (in McIDAS), and put to the test, before going to “ops”. Current GOES Sounder products may offer a practical, realistic estimate of how relevant the GOES-R “legacy Sounder” products requirement may be for end users (NWS forecasters). Betterupper layer Better lower layer Insuring incorporation of improvements to the GOES Sounder vertical profile retrieval algorithm into NOAA/NESDIS operations Author(s): Gary S. Wade, Zhenglong Li, James P. Nelson III, Jun Li, and Timothy J. Schmit Is the implementation correct? New (Li 2008) version vs Old (Ma 1999) version GOES retrievals compared to radiosondes (00UT 22 Sep 2009)

More Related