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STAR Seminars

This page lists upcoming STAR Science Forum seminars. Presentation materials for seminars will be posted with each scheduled talk when available.

Arranging a new seminar?

To submit a new seminar for the series, fill this form: STAR Seminar Form.

 

All seminar times are given in Eastern Time


18 September 2019

Title: Assimilation of Satellite Microwave Observations in the Rainband of Hurricanes using a Novel Bayesian Monte Carlo Technique
Presenter(s): Isaac Moradi, NASA
Date & Time: 18 September 2019
12:00 pm - 1:00 pm ET
Location: Conference Room # 2552-2553, NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD, NCWCP - Large Conf Rm - 2552-2553
Description:

STAR Science Seminars
Presenter:
Isaac Moradi, NASA

Sponsor(s):

STAR Science Seminar Series

Remote Access:
WebEx:
Event Number:    905 458 573   
Password: STARSeminar
Event address for attendees:
https://noaa-nesdis-star.webex.com/noaa-nesdis-star/j.php?MTID=m9876a81238d7e49c4b1dc3d202e9d614

Audio:
  
    +1-415-527-5035 US Toll
    Access code: 905 458 573

Abstract:
We propose a novel Bayesian Monte Carlo Integration (BMCI) technique to retrieve the profiles of temperature, water vapor, and cloud liquid/ice water content from microwave cloudy measurements in the rainbands of tropical cyclones (TC). These retrievals then can either be directly used by meteorologists to analyze the structure of TCs or be assimilated into numerical models to provide accurate initial conditions for the NWP models. The BMCI technique is applied to the data from the Advanced Technology Microwave Sounder (ATMS) onboard Suomi National Polar-orbiting Partnership (NPP) and Global Precipitation Measurement (GPM) Microwave Imager (GMI).

Bio:

Dr. Isaac Moradi is a remote sensing scientist with over fifteen years of experience specializing in radiative transfer modeling; Observing System Simulation Experiments (OSSE); data assimilation; satellite data analysis and bias correction; atmospheric humidity and ice clouds; inverse methods and retrieving geophysical variables from satellite observations; solar radiation resource assessment; quality assurance of solar radiation and in-situ radiosonde measurements; and developing new instrument concepts especially for measuring tropospheric humidity. Please also see https://science.gsfc.nasa.gov/sed/bio/isaac.moradi

POC:
Stacy Bunin, stacy.bunin@noaa.gov
Add seminar: add to Google calendar button

28 October 2019

Title: Tools for Interpreting how and what neural networks learn, and their applications for climate and weather
Presenter(s): Imme Ebert-Uphoff, CIRA, Elizabeth Barnes, CSU, Ben Toms, CSU
Date & Time: 28 October 2019
12:00 pm - 2:00 pm ET
Location: NCWCP - Large Conf Rm - 2554-2555
Description:

STAR Science Seminars
Presenters:
Imme Ebert-Uphoff of CIRA and Elizabeth Barnes and Ben Toms of Colorado State University
(presenting remotely)

Sponsor(s):

STAR Science Seminar Series

Remote Access:
WebEx:
Event Number:    904 841 535   
Password: STARSeminar
Event address for attendees:
https://noaa-nesdis-star.webex.com/noaa-nesdis-star/j.php?MTID=ma4af12891805bfb155ba26ba1d4a4330

Audio:
  
    +1-415-527-5035 US Toll
    Access code: 904 841 535

Abstract:
TBD
About the

Presenter(s):

Imme Ebert-Uphoff received B.S. and M.S. degrees in Mathematics from the Technical University of Karlsruhe (known today as Karlsruhe Institute of Technology or KIT).  She received M.S and Ph.D. degrees in Mechanical Engineering from the Johns Hopkins University. She was a faculty member in Mechanical Engineering at Georgia Tech for over 10 years, before joining the Electrical & Computer Engineering department at Colorado State in 2011 as research professor.  Her research interests are in applying data science methods to climate applications.  She is also very involved in activities to build bridges between the AI community and the earth science community, including serving on the steering committee of the annual Climate Informatics workshop, and of the NSF sponsored research coordination network (RCN) on Intelligent Systems for the Geosciences.  Starting July 1, 2019, she is spending 50% of her time with CIRA to support their machine learning activities.
Dr. Elizabeth (Libby) Barnes is an associate professor of Atmospheric Science at Colorado State University. She joined the CSU faculty in 2013 after obtaining dual B.S. degrees (Honors) in Physics and Mathematics from the University of Minnesota, obtaining her Ph.D. in Atmospheric Science from the University of Washington, and spending a year as a NOAA Climate & Global Change Fellow at the Lamont-Doherty Earth Observatory. Professor Barnes' research is focused on large scale atmospheric variability and the data analysis tools used to understand its dynamics. Topics of interest include jet-stream dynamics, Arctic-midlatitude connections, subseasonal-to-seasonal (S2S) prediction of extreme weather events (she is currently Task Force Lead for the NOAA MAPP Subseasonal-to-Seasonal (S2S) Prediction Task Force), health-related climate impacts, and data science methods for climate research (e.g. machine learning, causal discovery). She teaches graduate courses on fundamental atmospheric dynamics and data science and statistical analysis methods.
Ben Toms is a fourth year PhD student in the Barnes research group in the Department of Atmospheric Science at Colorado State University.  His PhD research focuses on using neural networks to improve our understanding of decadal predictability within the climate system.  This research requires a fundamental understanding of neural networks and techniques for their interpretation, so he enjoys testing which methods proposed by the computer science community are transferrable to atmospheric science.

POC:
Stacy Bunin, stacy.bunin@noaa.gov
Add seminar: add to Google calendar button

To add the STAR Seminar's calendar to your Google Calendar:

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Then the STAR Seminars calendar will appear on the left side of your calendar controls under 'Other calendars'. It may take up to 12 hours for changes to appear in your Google Calendar.

Use Google Chrome to remotely join Webex sessions for STAR seminars. Webex's required plugin is built-in to Chrome. If you want to use Webex from Firefox, you must arrange to have the AdminLAN team install the plug-in on your computer in advance of the seminar you wish to attend.


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