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Special Seminar on Atmospheric Sciences

April 6, 3:30 p.m. – 5:30 p.m.
Campus Mānoa, HIG 309 and virtual


*Hybrid seminar: in person and virtual*

Impact of radio occultation data on the prediction of tropical cyclogenesis

Ying-Hwa (Bill) Kuo
Director, UCAR Community Programs (UCP)
University Corporation for Atmospheric Research (UCAR)
Boulder, Colorado

You are invited to our hybrid Atmospheric Sciences Spring 2022 seminar at HIG 309 via Zoom meeting.
When: April 6, 2022 at 3:30 p.m. HST
Meeting admission: 3:15 p.m. HST

Register in advance for this meeting:
https://hawaii.zoom.us/meeting/register/tJcof–qqjMiEtXX9J8yHV3K8NrAjdJsakyN

After registering, you will receive a confirmation email with information about joining the meeting. Please retain this information for future seminars.

As a security measure, muting microphones, starting video, screen sharing and using the “chat” function will be disabled for seminar participants, with the exception of ATMO teachers. If you would like to say something, please use the “raise your hand” function. The host or a co-host can then allow you to unmute your microphone.

Abstract:
Tropical cyclones are one of the most devastating weather systems that are responsible for huge loss of life and property every year. Accurate prediction of tropical cyclogenesis by numerical models has been a significant challenge, largely due to the lack of observations over tropical oceans. The limbo atmospheric sounding technique, which uses radio signals transmitted by global navigation satellite systems (GNSS), has evolved as a robust global observing system. This technique, known as radio occultation (RO), can provide valuable water vapor and temperature observations for the analysis and prediction of tropical cyclogenesis. Using the WRF modeling and data assimilation system, we show that OR data assimilation can significantly improve model skills in predicting tropical cyclogenesis for ten typhoon cases that occurred over the Western Pacific from 2008 to 2010. To better understand the impact of GNSS RO data assimilation, we perform a detailed analysis of the formation process of Typhoon Nuri (2008) and examine how GNSS RO data assimilation enables the model to capture cyclogenesis. The joint Taiwan-US COSMIC-II mission was launched in June 2019. It has been providing more than 6,000 GNSS RO data per day over the tropics since March 2020. The assimilation of GNSS RO data from COSMIC-2 is increasing the probability of detection and reduce false alarms for the prediction of tropical cyclogenesis.

&

COMET Program Activities and University Teaching Support

Elizabeth Page, Director, UCP Education and Training Center
Paul Kucera, Deputy Director, International Capacity Development
COMET program

Abstract:
The COMET program, part of the UCAR Community Programs Education and Training Center, has been providing innovation training opportunities to the community for over 30 years. University professors and students are probably most familiar with the MetEd Education Portal website (www.meted.ucar.edu) and the over 1000 online lessons that are available for free. The topics covered by these courses continue to grow, as does the number of languages ​​offered (now nine).

Some new and less new features of MetEd may be of interest. In response to the challenges universities have faced during the COVID pandemic, the NSF has funded COMET to map lessons to common undergraduate courses and to bundle graphs of those lessons for easy downloading. These resources can be found in a dedicated part of the course catalog: https://www.meted.ucar.edu/education_training/ucourses. Another feature that may not be well known but has been around for a while are reminder questions. Learners can subscribe to these questions when they take the quiz associated with a lesson and will receive follow-up questions via email to help them retain the information presented in the lesson.

Another interesting activity concerns COMET’s 3D printed weather stations (3D PAWS). 3D-PAWS sensors currently measure pressure, temperature, relative humidity, wind speed, wind direction, precipitation and visible/infrared/UV light, current height and snowpack. The system uses a Raspberry Pi single board computer for data acquisition, data processing, and communications. The 3D printer files for these instruments are open source and a user guide is available online https://sites.google.com/ucar.edu/3dpaws/downloads/manual.

For more information, please contact:

Liz Page: [email protected]
Paul Kucera: [email protected]

There will be an open PIZZA PARTY after the seminar. All are invited!

Event Sponsor
Atmospheric Sciences SOEST, Mānoa Campus

More information
808-956-8775, SEE BROCHURE (PDF)



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