February 26, 2024

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Machine Learning Helps Fine-tune Climate Models

From movie suggestions to self-driving vehicles, machine learning has revolutionised modern life. Experts are now using it to help solve one of humanity’s biggest problems: climate change. With machine learning, researchers can use the abundance of historical climate data and observations to improve predictions of Earth’s future climate. These predictions will have a major role in lessening our climate impact in the years ahead.

Machine learning algorithms use available data sets to develop a model. This model can then make predictions based on new data that were not part of the original data set. Regarding climate change, there are two main approaches by which machine learning can help further the understanding of climate: observations and modelling. In recent years, the amount of available data from observation and climate models has grown exponentially. Hence, machines can analyse all of the data.

Observations from space

Satellites are continuously monitoring the ocean’s surface, giving scientists useful insight into how ocean flows are changing. NASA’s Surface Water and Ocean Topography (SWOT) satellite mission — scheduled to launch late next year — aims to observe the ocean surface in unprecedented detail compared with current satellites.

However, a satellite cannot observe the entire ocean at once. It can only see the portion of the ocean beneath it. Moreover, the SWOT satellite will need 21 days to go over every point around the globe. Machine learning algorithms can use data retrieved by the SWOT satellite to predict the missing data between each SWOT revolution.

Obstacles in climate modelling

Observations inform the present. However, to predict future climate researchers must rely on comprehensive climate models. The latest IPCC climate report was informed by climate projections from various research groups across the world. These researchers ran a multitude of climate models representing different emissions scenarios that yielded projections hundreds of years into the future.

To model climate, computers overlay a computational grid on the oceans, atmosphere and land. Then, by starting with the climate of today, they can solve the equations of fluid and heat motion within each box of this grid to model how the climate will evolve in the future. Running climate models that project forward hundreds of years brings even the most powerful supercomputers to their knees. Thus, they are currently forced to run these models at a coarse resolution.

A clearer picture

Some parameterisations already exist in coarse-resolution models, but often do not do a good job integrating the smaller-scale flow features in an effective way. Machine learning algorithms can use the output from realistic, high-resolution climate models to develop far more accurate parameterisations.

As the computational capacity grows — along with the climate data — researchers will be able to engage increasingly sophisticated machine learning algorithms to sift through this information and deliver improved climate models and projections.

To deal with climate change, finding clean energy is essential. As reported by OpenGov Asia, The U.S. Department of Energy (DOE) today announced $45 million for projects that will help seamlessly integrate clean energy sources onto the grid, supporting the Biden Administration’s goal of a decarbonised power sector by 2035.

As solar and other renewable energy are rapidly deployed throughout the country, these projects are developing new technologies and capabilities to bolster the resilience of the U.S. electric grid. The funding, which also creates a new $25 million consortium, will advance the domestic manufacturing of solar energy and electric grid technologies.

PARTNER

Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

PARTNER

CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.

PARTNER

Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.

SUPPORTING ORGANISATION

SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

PARTNER

HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

PARTNER

IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

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