Tag: climate

What if we were to democratize access to data and compute so that anyone, anywhere in the world could contribute to climate science? The Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability datasets. ASDI supports innovators and researchers with the data, tools, and technical expertise they need to advance sustainability initiatives. ASDI is committed to making climate-relevant data easier to access and analyze. ASDI’s growing data catalog comprises petabytes of open data.

C40 is a network of the world’s megacities committed to addressing climate change. C40 empowers cities to collaborate effectively, share knowledge, and drive meaningful, measurable, and sustainable action on climate change. C40 delivers insights to help city governments understand how to deliver emission reductions and climate resilience. C40’s primary platform for sharing this knowledge is the C40 Knowledge Hub, launched in 2019, to provide all participating cities with the knowledge and tools necessary to drive large-scale climate action. The Knowledge Hub is an online platform bringing together insights, practical experiences, and tested approaches from leading cities, for cities at every stage of their climate commitments.

This month, the National Oceanic and Atmospheric Administration (NOAA) celebrates 50 years of “science, service, and stewardship.” Over the past five decades, NOAA has demonstrated its ability to push the boundaries of technological innovation to collect and understand data, as well as share that knowledge and information with others. AWS supports NOAA’s mission, in particular by providing public access to the agency’s environmental datasets since 2015 through the Registry of Open Data on AWS.

For climate change adaptation and resilience, it is important to assess the risks associated with the impacts of climate change and then understand and take action to mitigate those risks. Since 1980, the U.S. has experienced 258 weather and climate disasters where the overall damage costs reached or exceeded $1 billion. As floods become more frequent and costly and natural hazards and climate change impact physical building assets, business continuity, and asset values, big data and analytical technology can be used to create high-tech risk assessments and economic loss estimations.

At the 2019 re:Invent conference in Las Vegas, Amazon Sustainability and the Amazon Sustainability Data Initiative (ASDI) hosted a four-hour workshop and hackathon to showcase ASDI’s collection of sustainability-related datasets and new ways to put those datasets to use. Called “Code Green,” the event also introduced conference attendees and participants to geospatial weather and climate data on Amazon Web Services (AWS).

Today AWS announced it is expanding its collaboration with the U.S. National Oceanic and Atmospheric Administration (NOAA) to make environmental data easier to access and use. A new agreement with NOAA builds upon the work started when AWS first collaborated with NOAA on the Big Data Project in 2015. Users will now be able to access new, authoritative NOAA data within AWS without needing to download and store their own copies.

Four Twenty Seven builds tools and services that help bring climate data (sourced from government agencies and academic institutions) to public and private organizations so they can better understand their exposure to climate hazards and manage risk in their communities. Four Twenty Seven’s new on-demand scoring application allows users to enter an asset’s location and receive risk scores for each site in real-time.

Scientists at NC State University’s North Carolina Institute for Climate Studies (NCICS) work with large datasets and complex computational analysis. Traditionally, they did their work using on-premises computational resources. As different projects were stretching the limits of those systems, NCICS decided to explore cloud computing. As part of the Amazon Sustainability Data Initiative, we invited Jessica Mathews, Jared Rennie, and Tom Maycock to share what they learned from using AWS for climate research. As they considered exploring the cloud to support their work, the idea of leaving the comfort of the local environment was a bit scary. And they had questions: How much will it cost? What does it take to deploy processing to the cloud? Will it be faster? Will the results match what they were getting with their own systems? Here is their story and what they learned.