Skip Navigation
JCSDA Logo and banner

Attend in Person:

Unless noted otherwise, all seminars take place at:
NOAA Center for Weather and Climate Prediction
5830 University Research Court
College Park, MD  20740

NCWCP building

See Map & Directions from Google

Attend Remotely:

Online video access via Webex:

  1. Click on JCSDA Seminars
  2. Enter the event number.
  3. Enter the password: JCSDA.
  4. Click "Join Now".
  5. Follow the instructions that appear on your screen.

Audio / conference call:

USA participants: 1-866-715-2479
Passcode: 9457557
International: 1-517-345-5260


If you are a presenter and are going to be giving a JCSDA seminar with slides, please follow these guidelines on presentation file preparation.

Upcoming JCSDA Seminars

About JCSDA's Seminar Series

The JCSDA seminar series includes presentations on satellite observing instruments, radiative transfer models for use in satellite data assimilation, algorithms for deriving information on the Earth's atmosphere, oceans, and land surface from satellite observations, advances in data assimilation techniques, preparations for assimilation of data from new satellite instruments, and impacts of satellite data on weather and climate predictions. The seminars are about 1 hour in duration (including discussion period) and are held monthly, usually on the 3rd Wednesday of each month at 2 PM, and are open to the public.

The audience for the seminars generally consists of remote sensing researchers from NOAA/NESDIS, data assimilation experts and modelers from NOAA/NCEP and NASA/Goddard Space Flight Center Global Modeling and Assimilation Office, and students/faculty from the University of Maryland.

  • Slides for each presentation should be available for download in PDF format on this page, the day before each talk.
  • Recent seminars are here.

Upcoming Seminars


Promises and Challenges in Assimilation of Infrared and Microwave All-sky Satellite Radiances for Convection-Permitting Analysis and Prediction

Presentation file posted here when available.

Speaker Fuqing Zhang
Professor, Penn State University
Date Wednesday, December 14, 2016
11:00 a.m. - 12:00 p.m.
Auditorium, NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD

Show Abstract

The impacts of assimilating GOES-R all-sky infrared brightness temperatures on tropical cyclone analysis and prediction were demonstrated through a series of convection-permitting observing system simulation experiments using an ensemble Kalman filter under both perfect and imperfect model scenarios. Assimilation of the high tconstrainedemporal and spatial resolution infrared radiances not only well the thermodynamic variables, including temperature, moisture and hydrometeors, but also considerably reduced analysis and forecast errors in the wind fields. The potential of all-sky radiances is further demonstrated through an additional proof-of-concept experiment assimilating real-data infrared brightness temperatures from GOES-13 and Himawara-8. An empirical flow-dependent adaptive observation error inflation (AOEI) method is proposed for assimilating all-sky satellite brightness temperatures with an ensemble Kalman filter. The AOEI method adaptively inflates the observation error when the absolute difference (innovation) between the observed and simulated brightness temperatures is greater than the square root of the combined variance of the uninflated observational error variance and ensemble-estimated background error variance. This adaptive method is designed to limit erroneous analysis increments where there are large representativeness errors, as is often the case for cloudy-affected radiance observations.

To better assimilate all-sky microwave radiance from polar- orbiting satellites, we begin to modify the Community Radiative Transfer Model (CRTM) to ensure that the cloud and precipitation particle scattering properties for calculating microwave radiances are consistent with the particle properties and size distributions internal to microphysics parameterization schemes. Using microphysics-consistent cloud scattering properties generates much greater variety in the simulated brightness temperature fields across the different microphysics schemes than the traditional use of effective radius. It is our expectation that the use of microphysics-consistent cloud scattering properties in the CRTM will help developing a more self-consistent tool for analyzing and constraining microphysics schemes, and to improve all-sky microwave radiance assimilation for convection-permitting analysis and prediction.

Remote Access Remote Access: Webex Portal
Webex Event Number: 994 403 488
Webex Password: JCSDA

James G. Yoe

Most seminars are scheduled on Wednesdays at 2:00 p.m. unless noted otherwise. Titles are tentative, and are subject to change.

Modified November 30, 2016 9:11 PM
NOAA | NWS | NASA | Navy Weather
Air Force Weather | Website owner: JCSDA
Level A conformance icon, W3C-WAI Web Content Accessibility Guidelines 1.0 and Valid HTML 4.01 Icon
icon: valid HTML 4.01 transitional. Level A conformance icon, W3C-WAI Web Content Accessibility Guidelines 1.0