[Eoas-seminar] TODAY MET Seminar - Prof. Maria Molina (University of Maryland)

Thu Apr 25 08:00:05 EDT 2024

Dear all,

This is a reminder of today’s MET seminar given by Prof. Maria Molina<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmariajmolina.github.io%2F&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7Cbbc3bfc1210146bfd0b308dc651f3ef4%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638496432066390615%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=13SH5y3FYzan%2FhxKAdZ8wDS0xTY9gT14tVCBINSJpmY%3D&reserved=0> of the University of Maryland. She will speak about “Machine learning for Earth system prediction and predictability”.

Snacks at 3, talk at 3:15 in 1044.

See you there!

Cheers,

Allison

--------------------------------------------
Allison A. Wing, Ph.D.
Werner A. and Shirley B. Baum Professor
Associate Professor, Department of Earth, Ocean, and Atmospheric Science
Florida State University
awing at fsu.edu

On Apr 19, 2024, at 8:11 AM, eoas-seminar--- via Eoas-seminar <eoas-seminar at lists.fsu.edu> wrote:

Dear all,

Please join us next Thursday April 25 for a Meteorology seminar given by Prof. Maria Molina<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmariajmolina.github.io%2F&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7Cbbc3bfc1210146bfd0b308dc651f3ef4%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638496432070453371%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=dAk9I0EzZoi2dDTF14pnP7La9cHdn%2B%2FgvZvNSaUnEgs%3D&reserved=0> of the University of Maryland. She will speak about “Machine learning for Earth system prediction and predictability"  (abstract below).

Prof. Molina will be joining us in person. She is also available for individual meetings on Thursday. If you’d like to meet with her, please contact Allison Wing (awing at fsu.edu<mailto:awing at fsu.edu>). As some of you may recall, Prof. Molina received her Bachelors degree in Meteorology from FSU in 2008, so she is particularly excited to catch up with some of her former professors.

Graduate students, please join for lunch with the speaker at 12:15 PM on Thursday. Please RSVP to Allison Wing by the end of the day Tuesday.

DATE: Thursday April 25
SEMINAR TIME: Refreshments at 3 PM, Talk 3:15 - 4:15 PM
SEMINAR LOCATION: EOA 1044 (Speaker in person)
SPEAKER:Prof. Maria Molina<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmariajmolina.github.io%2F&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7Cbbc3bfc1210146bfd0b308dc651f3ef4%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638496432070453371%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=dAk9I0EzZoi2dDTF14pnP7La9cHdn%2B%2FgvZvNSaUnEgs%3D&reserved=0>

TITLE: Machine learning for Earth system prediction and predictability

ABSTRACT: Machine learning can be used for Earth system prediction, or to study our ability to make skillful predictions given the system's initial state or other factors, otherwise known as predictability. In traditional numerical weather prediction frameworks, we solve the governing partial differential equations starting from an initial state. This initialized prediction framework usually involves three stages: 1) generating the initial conditions of the Earth system, 2) running the mathematical representation of the system on a computer forward in time, and 3) analyzing the output and converting it into a format that is useful for end users. Machine learning can be used to improve each of these individual stages, or to circumvent the three stage framework altogether, and examples of each will be given in this seminar. More time during the seminar will be dedicated to the challenges surrounding subseasonal prediction, which focuses on lead times of three to four weeks, and how we can use machine learning to both uncover potential biases in our initialized prediction systems and how we can bias-correct them.

We look forward to seeing you there!

Cheers,

Allison

--------------------------------------------
Allison A. Wing, Ph.D.
Werner A. and Shirley B. Baum Professor
Associate Professor, Department of Earth, Ocean, and Atmospheric Science
Florida State University
awing at fsu.edu

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