Data ReFined #51: Google's Next-Gen AI Models for Weather Forecasting

Data ReFined is dClimate's biweekly newsletter, delivering insights at the intersection of the voluntary carbon market (VCM), digital MRV technologies, climate risk management, and climate intelligence.

In this edition:
🌤️ We're Hiring a Climate Scientist / Catastrophe Modeler

Carbon Finance & Digital MRV
🌳 Overview of UNEP's Article 6 Pipeline
🌳 RMI's Open Framework Aims to Bring Clarity to Carbon Markets
🌳 The Evolving Dynamics of Carbon Credit Pricing

Climate Risk Management
🛡️ Modernizing Crop Insurance with AI and Parametric Solutions
🛡️ How Escalating Climate Events Are Reshaping the Insurance Market
🛡️ Sensor-Based Flood Insurance
🛡️ Proptech Startup Telescope Closes €3.7M Seed

Climate Data & Intelligence
🌎 Google's Next-Gen AI-Powered Weather Forecasting
🌎 Climate Data and AI as the Foundation for Climate Resilience

Scroll down for our summaries of this news! 👇

dClimate is Hiring a Climate Scientist / Catastrophe Modeler

Join our remote-first team with an office in NYC to develop hazard and loss models, conduct scenario research, and advance climate risk intelligence.

We are looking for someone with a strong foundation in meteorology, climate science, or data science, coupled with technical expertise in Python programming and machine learning.

For more information about this role and how to apply, visit our job page:

Climate Scientist

Job Title: Climate Scientist/Catastrophe Modeler Position Overview: We are seeking a highly motivated and technically skilled Climate Scientist/Catastrophe Modeler to join our team. The ideal candidate will have a strong foundation in meteorology, climate science, or data science, coupled with technical expertise in Python programming and machine learning. This role will play a pivotal part in advancing our hazard modeling, loss modeling, and climate scenario research, with applications in the insurance and reinsurance industries, as well as risk management teams more broadly. Key Responsibilities: - Hazard Modeling: - Enhance flood modeling capabilities, either by developing in-house solutions or integrating external tools. - Improve severe convective storm (SCS) modeling - Contribute to earthquake and tsunami modeling, exploring new methodologies and frameworks. - Advance tropical cyclone modeling. - Collaborate with internal teams on multi-hazard modeling initiatives. - Loss Modeling: - Calibrate and validate damage models against a diverse range of data sources, including historical claims data, engineering and materials research, government data, and more. - Reimagine portfolio calculations for probable maximum loss (PML) by developing region-wide simulations and integrating event-based loss calculations. - Enhance our overall loss modeling framework by integrating advanced quantitative methods, Bayesian statistics, extreme value theory, and machine learning where applicable. - Climate Scenario Research: - Build and refine statistical and machine learning models, such as LSTMs, to project SCS perils and other climate-related risks. - Explore climate scenarios beyond CMIP6 frameworks to better capture future risks, including more short-term scenarios. - Cross-Functional Collaboration: - Work closely with insurance and reinsurance clients to tailor solutions for financial risk analysis. - Prepare detailed reports and presentations for internal stakeholders and clients. - Act as a subject matter expert on climate change risk and catastrophe modeling, effectively communicating complex concepts to non-technical audiences. Required Skills and Qualifications: - Advanced degree (Master’s or Ph.D.) in Meteorology, Climate Science, Data Science, or a related field. - Strong proficiency in Python for data analysis, modeling, and machine learning applications. - Demonstrated experience with machine learning projects; AI experience is a plus. - Knowledge of meteorology, climate modeling, and catastrophe modeling. - Familiarity with industry-standard catastrophe modeling tools. - Experience working with climate data is highly desirable, such as ERA5 Reanalysis, radar data, CMIP6 data. - Strong analytical and problem-solving skills, with an ability to handle complex datasets. - Excellent communication skills, both written and verbal, for effective collaboration and presentation of results. Preferred Experience: - Prior experience within the catastrophe modeling space. - Hands-on experience with flood modeling, including hydrology and hydrodynamic modeling techniques. - Familiarity with financial modeling for insurance/reinsurance purposes, including PML calculations. - Contributions to published research or demonstrated project work in climate science or catastrophe modeling. What We Offer: - Opportunity to work on cutting-edge hazard and climate modeling projects with real-world applications. - A collaborative environment where your contributions will directly impact strategic goals. - Support for continued professional development and research initiatives. - Competitive compensation and benefits package.

Overview of UNEP's Article 6 Pipeline

The UNEP has launched an updated overview of Article 6 projects under the Paris Agreement. The new Excel-based database offers insights into activities under Articles 6.2 and 6.4, with plans to evolve into an interactive dashboard. Read more →

Article 6 Pipeline - UNEP-CCC

Increasing transparency of countries’ first activities to cooperate through carbon markets under Article 6 of the Paris Agreement.

UNEP-CCC

RMI's Open Framework Aims to Bring Clarity to Carbon Markets

To build trust in carbon markets, RMI is creating a unified data framework, addressing the challenges of data opacity and inconsistency in the Voluntary Carbon Market. Read more →

The Evolving Dynamics of Carbon Credit Pricing

Arbonics' latest article delves into the complexities of carbon credit pricing, highlighting the vast disparities between voluntary and compliance markets, and emphasizing the premium commanded by high-quality removal credits. Read more →

In related news, Arbonics co-founder and COO, Lisett Luik, was recently interviewed on Carbon Herald's podcast where she discusses European carbon credit quality and forest-based carbon removal initiatives. Listen here.

Modernizing Crop Insurance with AI and Parametric Solutions

Arbol's latest insights highlights how AI-driven parametric insurance models deliver timely financial support to specialty crop producers facing climate risks, offering a modern alternative to traditional insurance practices. Read more →

How AI and Parametric Models Are Revolutionizing Risk Protection for Crop Insurance

Arbol provides parametric insurance solutions using real-time weather data and AI-driven risk modeling to ensure farmers receive faster, more predictable payouts.

Mar 13, 2025Ryan RuffingBy Arbol

How Escalating Climate Events Are Reshaping the Insurance Market

A recent article published on Earth.Org discusses how the growing intensity of climate events is leading to significant changes in the insurance sector, including higher costs and reduced accessibility for consumers in high-risk regions. Read more →

Sensor-Based Flood Insurance

InsTech’s series on sensor-based insurance features Previsico’s IoT-driven flood forecasting, which helps insurers improve claims accuracy and reduce risk uncertainty in real time. Read more →

Proptech Startup Telescope Closes €3.7M Seed

Norwegian property tech startup Telescope has secured €3.7 million in seed funding to help real estate companies manage physical climate risks and meet regulatory requirements. Read more →

Google's Next-Gen AI-Powered Weather Forecasting

Google has unveiled its latest family of AI models designed to improve short-term weather predictions. By leveraging deep learning and vast climate datasets, the tool aims to provide more accurate forecasts for industries like energy, logistics, and agriculture. Read more →

WeatherNext

WeatherNext is our most advanced weather forecasting AI technology.

Google DeepMind

Climate Data and AI as the Foundation for Climate Resilience

AI and data analytics are reshaping climate resilience innovation, according to Mercy Corps Ventures’ 2024 Impact Report. Every investment the firm did last year relied on these technologies, from wildfire detection to precision agriculture. Their latest round received 300+ pilot applications from 55 countries, mostly centered around data-driven sustainable agriculture. Read more →

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