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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

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Attend Remotely:

Online video access:

  1. Click on JCSDA Seminars
  2. Select the seminar you wish to attend.
  3. Enter your name and e-mail address.
  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


Presenters:

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.
  • Unless specifically noted otherwise, the contact for the JCSDA seminar series is Kevin Garrett.

Upcoming Seminars


Title

Analysis and Prediction of Clouds using Satellite All-Sky Radiances: Lessons Learned and Perspectives

Presentation file posted here when available.

Speaker Thomas Auligne
NCAR
Date Wednesday, September 17, 2014
2:00 p.m. - 3:00 p.m.
Conference Center, NOAA Center for Weather and Climate Prediction,5830 University Research Court, College Park, MD
Abstract

Show Abstract

The initialization of cloud parameters is one of the main frontiers for improving short-term prediction skills in numerical weather prediction (NWP) models. We will present the latest developments at the National Center for Atmospheric Research (NCAR) in building a capability to accurately initialize cloud parameters based on all-sky satellite observations assimilated in the Weather Research and Forecasting (WRF) numerical model. Two approaches have been considered:

1) A nowcasting system with a simplified cloud fraction. The analysis is designed to closely fit radiance observations and the NWP model dynamically transports clouds without involving the physics. This method is computationally efficient and useful for short-term forecast since it does not suffer from the typical imbalances often associated with model re-initializations.

2) A multivariate analysis including the microphysics parameters. It relies on a hybrid ensemble/variational data assimilation system with an augmented control variable for clouds. Specific developments to address non-linearities in the observation operator and non-Gaussian error distributions will be presented. We will also introduce original algorithms to correct for position errors and estimate the analysis error within the variational data assimilation system.

The current analysis shows a sustained impact on cloud forecast, yet there are still many challenges data assimilation will need to address to optimize the use of satellite all-sky observations.

Remote Access Video: 1. Go to JCSDA Seminar and click on the seminar title
2. Enter your name and email address.
3. Click "Join Now".
4. Follow the instructions that appear on your screen.
Audio: USA participants: 1-866-715-2479, Passcode: 9457557
International: 1-517-345-5260
Contact

Kevin Garrett



Title

Satellite Data Assimilation at ECMWF

Presentation file posted here when available.

Speaker Stephen English
ECMWF
Date Monday, October 20, 2014
11:00 a.m. - 12:00 p.m.
Conference Center, NOAA Center for Weather and Climate Prediction,5830 University Research Court, College Park, MD
Abstract

Show Abstract

ECMWF assimilates observations from over 50 satellite instruments, and monitors many more in the operational system. Recently the main focus has been in three broad areas:

1) Full (or at least more complete) utilisation of hyperspectral sounder data; 2) Moving more moisture sensitive observations into the so called "all-sky" assimilation framework, where we explicitly model the impact of cloud and precipitation on the observations, and allow these observations to influence the analysis; 3) An increasingly sophisticated treatment of observation errors, notably for Atmospheric Motion Vectors (AMVs), and observation error correlations for radiances.

In the first area, ECMWF has been able to demonstrate that for cloud-free scenes assimilation of IASI observations as radiances or Principal Components (PCs) can give the same impact, and a better impact when more of the spectrum is assimilated affordably through the PCs. Indeed, this advantage is sufficient that the assimilation of cloud-free PCs is, in general, equal to and often better than the assimilation of radiances in clear and overcast scenes, and for channels peaking above cloud. In the second area, ECMWF has been assimilating microwave imager data for many years through the all-sky route, but now humidity sounders are also being moved to the all-sky framework, with noticeable positive impact, especially on vector wind forecast scores. In the third area, the impact of AMVs has notably increased through the use of scene dependent errors, and experiments are showing not only can we cope with observation error correlation, we may even be able to exploit it in a positive way in some situations. In addition, the seminar will briefly discuss the status of Radio Occultation assimilation, progress with data from the Feng Yun satellites, new observation impact diagnostics, and a perspective on current and future directions for data assimilation in general at ECMWF.

Remote Access Video: 1. Go to JCSDA Seminar and click on the seminar title
2. Enter your name and email address.
3. Click "Join Now".
4. Follow the instructions that appear on your screen.
Audio: USA participants: 1-866-715-2479, Passcode: 9457557
International: 1-517-345-5260
Contact

Kevin Garrett



Title

Correcting for Position Errors in Variational Data Assimilation

Presentation file posted here when available.

Speaker Thomas Nehrkorn and Ross Hoffman
AER
Date Monday, November 10, 2014
2:00 p.m. - 3:00 p.m.
Conference Center, NOAA Center for Weather and Climate Prediction,5830 University Research Court, College Park, MD
Abstract

Show Abstract

Check back later for abstract.

Remote Access Video: 1. Go to JCSDA Seminar and click on the seminar title
2. Enter your name and email address.
3. Click "Join Now".
4. Follow the instructions that appear on your screen.
Audio: USA participants: 1-866-715-2479, Passcode: 9457557
International: 1-517-345-5260
Contact

Kevin Garrett




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

Modified February 12, 2014 11:02 PM
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