DOST shows PH’s AI weather forecasting tools at APMCDRR 2024

DOST shows PH’s AI weather forecasting tools at APMCDRR 2024

/ 06:07 AM October 17, 2024

Micheal Simora of the Department of Science and Technology discussed the Philippines’ latest AI weather forecasting tools at the Asia-Pacific Conference for Disaster Risk Reduction.

Specifically, he unveiled DOST-PHIVOLCS’ multi-agency initiative, GeoRiskPH, its tools, and other projects.

READ: APMCDRR 2024: Harnessing AI, space tech for disaster resilience

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Simora explained that these efforts enable the country to anticipate increasingly frequent national calamities. Consequently, they can mitigate their damage and save lives.

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What are the Philippines’ latest AI weather forecasting tools?

This is a slide from the AI weather forecasting talk at the APMCDRR 2024.

Micheal Simora started with GeoRisk Philippines’ Integrated Platform (GRIP). It is a centralized platform that grants access to GeoRiskPH’s products and services: 

  • HazardHunterPH is a publicly available platform for tracking typhoon, earthquake, and volcano alerts. Moreover, it lets everyone download hazard maps and other information.
  • GeoAnalysisPH is another public hub for sharing Disaster Risk Reduction Management plans.
  • GeoMapperPH is a credential-based platform that facilitates field surveys for pre- and post-disaster activities. 
  • PlanSmart is another limited platform that integrates the Ready to Rebuild Planning Guidebook with the previous tools. As a result, it streamlines the creation of a comprehensive Rehabilitation and Recovery Plan (RRP).

Then, Simora discussed the DOST-PAGASA’s recently started AI projects: 

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  1. Artificial Intelligence Powered Weather Forecasting for a Resilient Philippines (AI4RP)
  2. AI-Based Flood Forecasting and Early Warning System for Laoag River Basin
  3. Cauayan City Digital Twin

The first is a collaborative project involving the DOST-PAGASA, DOST-AST (Advanced Science and Technology Institute), and Almo Inc. 

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AI4RP will train PAGASA staff on developing AI-based solutions. These will enable high-resolution deep learning-based weather forecasts for up to 14 days.

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The second is a partnership with the Korean Ministry of Environment and K-Water. It will establish a river basin monitoring system. 

Moreover, it will create an AI-based flood model using the data gathered in the established monitoring system.

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Next, Cauayan City, Isabela, partnered with GIS software solutions provider Graffique to make a 3D digital twin. 

It is a digital replica of the area, facilitating the LGU’s post-disaster damage assessments. 

Aside from AI weather forecasting tools, the DOST weather specialist explained how local governments like Manila’s use the technology:

“In terms of warning and dissemination (of information), Manila city government used generative AI technologies, like chatbots, in handling complaints.” 

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“But we also use that in disseminating and communicating hazard warnings,” Simora added. 

TOPICS: technology
TAGS: technology

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