Why Most Consultants and Risk Professionals Struggle With Climate Data (And What To Do About It)

Climate risk is no longer a niche topic discussed only by climate scientists.

Today, consultants, infrastructure planners, engineers, ESG professionals, asset managers, insurers, and risk analysts are increasingly expected to incorporate climate projections into decision-making.

Clients want climate risk assessments.

Boards want climate-informed strategies.

Investors want scenario analysis.

Regulators want disclosures.

The demand for climate-related expertise has grown rapidly over the past decade.

Yet many professionals encounter the same challenge: they understand risk, but they do not understand climate data.

This skills gap is becoming one of the biggest barriers to delivering high-quality climate risk assessments.

The Growing Demand for Climate Risk Expertise

Across industries, organisations are recognising that climate change creates both risks and opportunities that must be considered in long-term planning.

Infrastructure operators need to understand how extreme rainfall may affect drainage systems and transport networks.

Property investors need to assess exposure to bushfires, flooding, and sea-level rise.

Financial institutions are increasingly expected to evaluate physical climate risks across portfolios.

Government agencies require evidence-based climate information to support resilience and adaptation planning.

As a result, climate risk assessment has evolved from a specialist activity into a mainstream business requirement.

The challenge is that many professionals responsible for delivering this work were never formally trained in climate science.

The Data Is Available. That's Not the Problem.

One of the most common misconceptions about climate risk analysis is that obtaining climate data is difficult.

In reality, much of the world's climate projection data is freely available.

The Coupled Model Intercomparison Project (CMIP6) provides projections from dozens of global climate models under multiple future emissions scenarios.

Government agencies such as NOAA, NASA, the Australian Bureau of Meteorology, and other international organisations also maintain extensive climate datasets that are publicly accessible.

Anyone can download these datasets.

The challenge begins after the download.

Many professionals quickly discover that having access to climate data and knowing how to use it are two very different things.

Why Climate Data Feels Different

Unlike traditional business, financial, or operational datasets, climate data introduces concepts that can be unfamiliar even to experienced analysts.

Climate Models Instead of Forecasts

Climate projections are generated using sophisticated climate models that simulate the Earth's atmosphere, oceans, land surface, and ice systems.

Rather than producing a single answer, climate assessments typically consider multiple models to capture a range of plausible futures.

Emissions Scenarios Matter

Climate projections depend on future greenhouse gas emissions pathways.

Scenarios such as SSP1-2.6, SSP2-4.5, and SSP5-8.5 represent different possible futures.

Selecting appropriate scenarios requires an understanding of what these pathways represent and how they relate to decision-making timeframes.

Uncertainty Is Expected

Unlike many business analyses that seek a single answer, climate risk assessments focus on understanding uncertainty.

Decision-makers need to know not only what may happen but also the range of possible outcomes and associated confidence levels.

Scientific Data Formats

Climate datasets are commonly stored in NetCDF format, a scientific data structure designed to manage large multidimensional datasets.

These files cannot simply be opened and analysed using conventional spreadsheet software.

Professionals need specialised workflows and tools to extract meaningful insights.

The Most Common Challenges Professionals Face

Over the years, I have spoken with consultants, analysts, engineers, researchers, and government practitioners who are trying to incorporate climate information into their work.

Their challenges are remarkably consistent.

Understanding CMIP6 Data

Many professionals successfully download climate datasets but struggle to determine which variables, models, or scenarios are most appropriate for their application.

Working with Climate Data Files

Opening NetCDF files and extracting information for specific locations or regions can be intimidating for those encountering scientific datasets for the first time.

Quantifying Uncertainty

Modern climate risk assessments increasingly require model ensembles and uncertainty analysis rather than reliance on a single projection.

Translating Climate Outputs into Decisions

Perhaps the biggest challenge is connecting climate information to practical business, infrastructure, investment, or policy decisions.

Knowing that temperature may increase by a certain amount is one thing.

Understanding what that means for operations, assets, communities, or financial outcomes is another.

The Skills Needed for Modern Climate Risk Assessment

Professionals entering the climate risk space do not need to become climate scientists.

However, they do need a practical understanding of several key areas.

Why These Skills Matter

Climate-related decision-making is becoming increasingly important across sectors.

Professionals who can confidently interpret climate projections and communicate climate-related risks are becoming highly valuable to organisations worldwide.

Whether you work in consulting, infrastructure, ESG, government, insurance, research, or finance, climate literacy is rapidly becoming a professional advantage.

More importantly, organisations need practitioners who can bridge the gap between climate science and real-world decision-making.

Building Practical Climate Data Skills

Developing climate data fluency does not require years of academic study.

What it does require is a structured pathway that combines climate science fundamentals with hands-on experience using real datasets and real-world applications.

The most effective learning approaches focus on:

• Understanding climate science concepts in a practical context

• Working directly with climate datasets

• Developing Python-based workflows

• Applying climate information to professional challenges

• Building confidence through hands-on projects

These skills allow professionals to move beyond climate awareness and towards practical climate capability.

Take the Next Step

If you're looking to build practical skills in:

• Climate modelling

• Climate risk assessment

• CMIP6 data analysis

• Python for climate science

• Climate projections and scenario analysis

then the Applied Climate Modelling & Climate Risk Accelerator Program from Academic Launchpad was designed specifically for professionals, researchers, and students who want hands-on experience working with real climate datasets.

Participants learn directly from working climate scientists through live sessions, practical exercises, climate data workflows, and a capstone project that can be applied to real-world challenges.

Ready to Build Climate Data Skills?

Join the next Climate Modelling & Climate Risk cohort and learn how to work confidently with climate projections, CMIP6 datasets, and climate risk assessments.

👉 Explore the program here: https://alclasses.com/general-7

🎓 Special Offer: Use code SPECIALPRO100 for $100 off Practical Implementation Plan.

Limited places available in the upcoming cohort.