Welcome to MINDS!

Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

News

Upcoming Events

Schedule

MINDS SEMINAR

MINDS Seminar Series | Hyo-Jong Song (Myongji University) - What does the existence of multiple scales in forecast error mean?

MINDS SEMINAR
period : 2023-08-09 ~ 2023-08-09
time : 15:00:00 ~ 16:00:00
개최 장소 : Math Bldg 404 & Online streaming (Zoom)
Topic : What does the existence of multiple scales in forecast error mean?
개요
Date 2023-08-09 ~ 2023-08-09 Time 15:00:00 ~ 16:00:00
Speaker Hyo-Jong Song Affiliation Myongji University
Place Math Bldg 404 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic What does the existence of multiple scales in forecast error mean?
Contents Numerical weather prediction provides essential information of societal influence. Advances in the initial condition estimation have led to the improvement of the prediction skill. The process to produce the better initial condition (analysis) with the combination of short-range forecast and observation over the globe requires information about uncertainty of the forecast results to decide how much observation is reflected to the analysis and how far the observation information should be propagated. Forecast ensemble represents the error of the short-range forecast at the instance. The influence of observation propagating along with forecast ensemble correlation needs to be restricted by localized correlation function because of less reliability of sample correlation. So far, solitary radius of influence is usually used since there has not been an understanding about the realism of multiple scales in the forecast uncertainty. In this study, it is explicitly shown that multiple scales exist in short-range forecast error and any single-scale localization approach could not resolve this situation. A combination of Gaussian correlation functions of various scales is designed, which more weighs observation itself near the data point and makes ensemble perturbation, far from the observation position, more participate in decision of the analysis. Its outstanding performance supports the existence of multi-scale correlation in forecast uncertainty.
MinDS MinDS · 2023-08-01 08:51 · Views 376

POSTECH SIAM Student Chapter

🌟 DACON Ranker Special Lecture: Winning Strategies for AI Competitions 🌟

2023 POSTECH & Peking SIAM Student Chapter Joint Conference

2023 PSSC Summer Camp

2022 PSSC Summer Camp

2022 POSTECH & Peking SIAM Student Chapter Joint Conference

MINDS-MoNET-ISE Workshop

Information, Network & Topological Data Analysis



2021 POSTECH MINDS WORKSHOP

Recent Progress in Data Science and Applications

Fall 2021 Seminar Series

MINDS Seminar Series on Data Science, Machine Learning, and Scientific Computing

Every Tuesdays 05:00 PM

ILJU POSTECH MINDS Workshop on TDA and ML

POSTECH SIAM Student Chapter Launched!