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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.

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All seminar times are given in Eastern Time

June 21, 2018

Title: STAR/NWS Seminar on Use of Satellite Data in Operational Forecasting
Presenter(s): TBD
Date & Time: June 21, 2018
9:00 am - 5:00 pm ET
Location: Auditorium, NCWCP, 5830 University Research Ct, College Park, MD 20740, USA
Description:

STAR / NWS Seminar

OneNOAA Science Seminar Series

Speakers: Multiple, see detailed agenda below

Sponsors: STAR and NWS; contact for queries is Ana.Carrion@NOAA.gov

Remote Access: Remote access via Webex

Webex Event address for attendees:
https://star-nesdis-noaa.webex.com/star-nesdis-noaa/onstage/g.php?MTID=ed752b41af9f3bd0c1794ad4e5a0ef7e0

Event number: 998 598 693

Event password: STAR

Talk Schedule


9:00 " 9:15 AM EDT
Opening Remarks - Harry Cikanek (Director, Center for Satellite Applications and Research " STAR)

9:15 " 9:45 AM EDT
Introduction to the NWS Operations " Alek Krautmann - (NESDIS Program Coordination Officer)

9:45 " 10:00 AM EDT
Break

10:00 " 10:45 AM EDT
Satellite Data during Severe Weather Ops " Jennifer VogtMiller (General Forecaster/ Satellite Focal " Weather Forecast Office, (WFO) Albany, NWS)

10:45 " 11:15 AM EDT
Discussion

11:15 " 12:00 PM EDT
Satellite Data in Operations " Christopher Gitro (Lead Forecaster/Satellite Focal WFO Kansas City, NWS) / Michael Jurewicz (Lead Forecaster/Satellite Focal WFO Binghamton, NWS)

12:00 " 1:00 PM EDT
Lunch

1:00 " 2:00 PM EDT
Vision " Distance Learning Capabilities " Tim Schmit - Satellite Research Meteorologist (STAR & ASPB)

2:00 " 2:15 PM EDT
Break

2:15 " 3:00 PM EDT
AWIPS Access " SET/ABI " Deb Molenar " IT Specialist (STAR)

3:00 " 3:30 PM EDT
Discussion

3:30 " 3:45 PM EDT
Break

3:45 " 4:15 PM EDT
Satellite Liaison " Bill Line (Meteorologist/WFO Pueblo, NWS)

4:15 " 5:00 PM EDT
Path Forward/Discussion " Harry Cikanek (Director, Center for Satellite Applications and Research " STAR)

----------------------------------------------------------------

{Alek Krautmann, NESDIS, Jennifer Vogtmiller, NWS, Christopher Gitro, NWS, Michael Jurewicz, NWS, Tim Schmit, STAR, Deb Molenar, STAR, Bill Line, NWS}

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July 18, 2018

Title:
New
NESDIS snowfall rate product and assessment in NWS Forecast Offices
Presenter(s): Huan Meng, NESDIS/Center for Satellite Applications and Research, and Kristopher White, NWS/Huntsville, AL Weather Forecast Office and NASA/MSFC/Short-term Prediction Research and Transition Center
Date & Time: July 18, 2018
12:00 pm - 1:00 pm ET
Location: Room 2554-2555, NCWCP, 5830 University Research Ct, College Park, MD 20740, USA
Description:

STAR Seminar Series

OneNOAA Science Seminar Series

Speakers: Huan Meng, NESDIS/Center for Satellite Applications and Research, and Kristopher White, NWS/Huntsville, AL Weather Forecast Office and NASA/MSFC/Short-term Prediction Research and Transition Center

Sponsor: NOAA NESDIS STAR

Host and contact: Ralph.R.Ferraro@noaa.gov

Remote Access:

Webex - event address for attendees: https://star-nesdis-noaa.webex.com/star-nesdis-noaa/onstage/g.php?MTID=e6264cd9de7be3b4177ecc46f0791645e

Event number: 991 988 937

Event password: STAR

Audio:

Conference #:  1-888-396-1320

Passcode: 9371952


Abstract:
An over land snowfall rate (SFR) product has been produced operationally at NOAA/NESDIS since 2012. The product utilizes the passive microwave measurements from the ATMS sensor aboard S-NPP and NOAA-20, and from AMSU and MHS sensor pair aboard the Polar Operational Environmental Satellites (POES) operated by NOAA and EUMETSAT. Recently, SFR product has also been developed for SSMIS aboard the DMSP satellites and for GMI aboard NASA's GPM core satellite. The SFR algorithm consists of two components: snowfall detection and snowfall rate estimation. Both components mainly rely on the high frequencies at and above 88/89 GHz due to their sensitivity to solid precipitation. The snowfall detection component is a statistical algorithm that optimally combines snowfall probabilities derived from a satellite-based module and a numerical weather prediction model-based module. The snowfall rate component is a physical, 1DVAR-based algorithm. The SFR product has been validated extensively against gauge observations and radar snowfall rate estimates with satisfactory results. As part of a project supported by the JPSS Proving Ground and Risk Reduction program, the SFR product retrieved from eight satellites was also evaluated at some NWS Weather Forecast Offices in winter 2017-2018. NWS meteorologists evaluated and provided feedback regarding the SFR product suite via an online survey, emails and a webinar. Evaluation results affirmed operational utility of the SFR product, especially as it pertains to the analysis and forecast of snowfall rates in regions that lack necessary radar and in-situ observations. Some data issues were also discovered and addressed during the evaluation period, highlighting the positive aspects of the intensive assessment process, which fosters direct interaction between product developers and end-users. Conclusions and recommendations for future iterations of the SFR product will also be discussed.

About the Speakers:

Huan Meng: TBD

Kristopher White: TBD

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