New Year Offer End Date: 30th April 2024
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Program

AI for Climate Modeling, Extreme Events & Policy Scenario Analysis

From Climate Data to Actionable Climate Policy Intelligence

Skills you will gain:

About Program:

Aim: This workshop aims to provide senior academicians, climate scientists, and PhD scholars with a deep, integrative understanding of how AI and machine learning augment climate modeling, extreme event analysis, and policy scenario evaluation. The program focuses on bridging climate science with AI-driven decision intelligence, enabling participants to design models that are not only scientifically robust but also policy-relevant, interpretable, and usable by governments and international agencies.

Program Objectives:

  • Understand how AI complements and enhances traditional climate models
  • Apply AI methods to analyze and predict extreme climate events
  • Design hybrid AI-physics models for climate risk assessment
  • Evaluate uncertainty and confidence in AI-based climate projections
  • Translate model outputs into policy-relevant climate scenarios
  • Align climate-AI research with international assessment frameworks

What you will learn?

📅 Day 1 – AI-Enhanced Climate Modeling & Earth System Intelligence

Theme: Augmenting Physical Climate Models with Data-Driven AI

  • Overview of climate modeling frameworks:
    • Global Climate Models (GCMs)
    • Regional Climate Models (RCMs)
    • Earth System Models (ESMs)
  • Role of AI in climate science:
    • Model emulation and acceleration
    • Bias correction and statistical downscaling
  • Machine learning methods for climate data:
    • Regression, deep learning, and spatio-temporal models
    • Handling large-scale, high-dimensional climate datasets
  • Hybrid and physics-informed AI approaches for climate modeling
  • Model evaluation, uncertainty quantification, and robustness in climate projections

👉 Outcome: AI-augmented climate modeling and Earth system intelligence workflows.

Case Perspectives:

  • AI-assisted downscaling of temperature and precipitation
  • Climate model emulators used in international climate assessments

📅 Day 2 – AI for Extreme Event Detection & Risk Attribution

Theme: Understanding, Predicting, and Attributing Climate Extremes

  • Types of climate extremes:
    • Heatwaves, floods, droughts, cyclones, wildfires
  • AI techniques for extreme event analysis:
    • Event detection and classification
    • Anomaly detection and trend analysis
  • Spatio-temporal risk modeling:
    • Forecasting frequency, intensity, and duration of extremes
  • Event attribution:
    • Linking extreme events to climate change signals
    • Integrating socio-economic exposure and vulnerability data

👉 Outcome: AI-based extreme event detection and climate risk attribution models.

Case Perspectives:

  • AI-based heatwave early warning systems
  • Flood and drought risk attribution studies

📅 Day 3 – AI-Driven Scenario Modeling for Climate Policy & Planning

Theme: From Climate Projections to Policy-Ready Scenarios

  • Climate scenarios and pathways:
    • SSPs, RCPs, mitigation and adaptation pathways
  • AI for scenario simulation, comparison, and uncertainty exploration
  • Decision-support systems for:
    • Climate adaptation planning
    • Risk-informed infrastructure design
  • Communicating AI-driven climate insights to policymakers and stakeholders
  • Ethical, transparency, and governance considerations in climate-focused AI

👉 Outcome: Policy-ready AI-driven climate scenarios and decision-support frameworks.

Case Perspectives:

  • AI-assisted policy scenario analysis for national climate plans
  • Decision frameworks used in IPCC-aligned assessments

Mentor Profile

Assistant Professor Others
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Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

2024Certfiacte

Intended For :

  • Senior academicians in climate science and environmental modeling
  • PhD scholars and postdoctoral researchers
  • Climate policy analysts and government researchers
  • Professionals involved in climate risk assessment and adaptation planning

Career Supporting Skills

Program Outcomes

  • A clear conceptual framework for AI-driven climate modeling
  • Insight into cutting-edge research directions in climate AI
  • Enhanced capacity to publish in high-impact climate and environmental journals
  • Ability to contribute to policy reports, advisory panels, and assessments
  • Strategic understanding of climate-AI funding and collaboration opportunities