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2019 APCC-PAGASA Capacity Building Workshop Series 3 - Statistical Downscaling and AIMS

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Admin
 
작성일
2020.08.04
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307

 

 

The purpose of the APCC-PAGASA Regional Prediction System (APCC-PRePS) project was to increase the overall capacity of the PAGASA staff through the installation of a RegCM model on the High Performance Computing Facility in PAGASA to deliver seasonal prediction information in the Philippines and through capacity building activities. The activities under this project were funded by Advance Solutions, Inc. (ASI) through the “Supply, Delivery, Installation, Testing, Supervision, Training and Commissioning of PAGASA Climate Forecast Computing System” Purchase Order No. 2018-032 PB issued by PAGASA.

 

The Technical Workshop on Statistical Downscaling and AIMS was held to increase the capacity of PAGASA and relevant sector stakeholders to be able to downscale climate change scenarios, and to showcase the ways that climate information can be used in different sectors.

 

I Theme

Technical Workshop on Statistical Downscaling and AIMS

 

I Period & Venue

8-10 July 2019 | Manila, Philippines

 

I Host

Advance Solutions, Inc. (ASI)

 

I Day 1

Overview of PAGASA Climate Services Information System – PAGASA

Overview of APCC – Ms. Bo Ra Kim, APCC

Seamless Climate Information for Post-2020 – Dr. Jaepil Cho, APCC

Use of Seamless Climate Information on Water Resources Management – Dr. Jaepil Cho, APCC

Introduction to User-Oriented Downscaling and APCC Integrated Modeling Solution (AIMS) – Dr. Jaepil Cho, Mr. Imgook Jung, APCC

 

I Day 2

Introduction to Theory of Statistical Downscaling – Prof. Syewoon Hwang, Professor, Gyeongsang National University

Statistical/Stochastic Approaches in AIMS - Prof. Syewoon Hwang

Hands-On: Downscaling of Climate Change Scenario using AIMS

 

I Day 3

Hands-On: Downscaling of Climate Change Scenario using AIMs

Participant Presentations

Technical Discussions and Wrap-Up with Survey