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		<title>NOAA and Google Cloud collaborate to advance weather forecasting.</title>
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		<dc:creator><![CDATA[Ashwani Kumar]]></dc:creator>
		<pubDate>Fri, 31 Jul 2026 12:55:45 +0000</pubDate>
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					<description><![CDATA[<p>NOAA and Google Cloud collaborate to advance weather forecasting NOAA and Google Cloud collaborate to advance weather forecasting. Accurate weather forecasting saves lives and protects infrastructure, but predicting complex global atmospheric patterns requires immense computing power. NOAA (National Oceanic and Atmospheric Administration) is taking a major leap forward by selecting Google Cloud as the primary… <span class="read-more"><a href="https://www.taxheal.com/noaa-and-google-cloud-collaborate-to-advance-weather-forecasting.html">Read More &#187;</a></span></p>
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										<content:encoded><![CDATA[<h2 class="uni-article-hero__title font-h4" style="text-align: center;">NOAA and Google Cloud collaborate to advance weather forecasting</h2>
<p><img fetchpriority="high" decoding="async" class="aligncenter" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/GCP_NOAA1.max-2600x2600.jpg" alt="NOAA and Google Cloud collaborate to advance weather forecasting." width="2600" height="1083" /></p>
<p>NOAA and Google Cloud collaborate to advance weather forecasting.</p>
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<section class="uni-page uni-grid uni-article-paragraph" data-analytics-module="{ &quot;module_name&quot;: &quot;Paragraph&quot;, &quot;section_header&quot;: &quot;NOAA and Google Cloud collaborate to advance weather forecasting.&quot; }">
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<p data-block-key="0qhkc">Accurate weather forecasting saves lives and protects infrastructure, but predicting complex global atmospheric patterns requires immense computing power. NOAA (National Oceanic and Atmospheric Administration) is taking a major leap forward by selecting Google Cloud as the primary provider of high-performance computing (HPC) infrastructure for its Weather and Climate Operational Supercomputing System (WCOSS).</p>
<p data-block-key="7mtiv">By transitioning to Google Cloud’s H4D virtual machines, NOAA becomes one of the first major global weather centers to move operational numerical weather prediction directly to the public cloud. This migration gives meteorologists and researchers unprecedented scale, speed, and AI capabilities to run massive simulations, refine prediction models, and issue faster, life-saving early warnings.</p>
<p data-block-key="ar1ru">Read more on the <a href="https://cloud.google.com/blog/topics/public-sector/modernizing-the-skies-noaa-google-cloud-collaborate-advance-weather-forecasting?e=48754805" target="_blank" rel="noopener">Google Cloud blog</a>.</p>
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<p class="uni-related-content-tout__eyebrow font-eyebrow">Google Cloud blog</p>
<h4 id="tout-title" class="uni-related-content-tout__title font-h4">NOAA, Google Cloud collaborate on forecasting</h4>
<div class="uni-related-content-tout__summary font-body-s">Google Cloud is now providing high-performance computing infrastructure for NOAA’s supercomputing system.</div>
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<p><a class="uni-cta uni-cta--low-emphasis " role="button" href="https://cloud.google.com/blog/topics/public-sector/modernizing-the-skies-noaa-google-cloud-collaborate-advance-weather-forecasting?e=48754805" target="_blank" rel="noopener" aria-label="See more"><span class=" font-ctas uni-cta__label uni-cta__label--r-spacer ">See more</span></a></p>
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<div class="uni-related-content-tout__image-container"><img decoding="async" class="uni-related-content-tout__image aligncenter" src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Hurricane-Melissa_header.width-800.format-webp.webp" alt="NOAA tracking a hurricane" /></div>
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<h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c" style="text-align: center;"><strong>Brent Mitchell</strong></h5>
<p class="nRhiJb-qJTHM khCp7b" style="text-align: center;"><strong>Vice President, Go-to-Market, Google Public Sector</strong></p>
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<p>The National Oceanic and Atmospheric Administration (NOAA) is embarking on a transformative journey to redefine how we understand and predict patterns in the Earth’s atmosphere that affect the weather we face every day. Today, we are proud to announce that Google Cloud was selected as the primary provider of high-performance computing (HPC) infrastructure for the Weather and Climate Operational Supercomputing System (WCOSS).</p>
<p>This program represents a pivotal shift for NOAA as it transitions from a more traditional, on-premises computing agency to cloud-first infrastructure—a major milestone as one of the first operational Numerical Weather Prediction (NWP) centers globally to move to the public cloud. By modernizing WCOSS on Google Cloud, NOAA is positioning the United States to lead global weather modeling through scale, speed, and reliability.</p>
<p>Google Cloud <a href="https://cloud.google.com/blog/products/compute/h4d-vms-now-ga?e=48754805">H4D VMs</a>, powered by fifth-generation AMD EPYC<img src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;" /> processors, are serving as the primary computing backbone for NOAA on Google Cloud. Purpose-built for demanding, compute-intensive workloads like numerical weather prediction, H4D VMs provide the compute power and low-latency networking required to execute massive, tightly-coupled simulations.</p>
<p>To put this in perspective, if traditional computers are like a fleet of individual delivery vans navigating city traffic, H4D VMs operate like a synchronized convoy on a dedicated, multi-lane superhighway—sharing information instantly so they can work together as a single, massive engine. For the NOAA workforce, the move to cloud HPC provides a more streamlined, flexible environment, enabling meteorologists and researchers to quickly adapt future modeling innovations.</p>
<h4><b>A foundation built on long-term collaboration</b></h4>
<p>The partnership announced today is more than just a technological upgrade; it is the latest milestone in a long-term collaboration between NOAA and Google Cloud. For years, <a href="https://cloud.google.com/blog/products/data-analytics/noaa-datasets-on-google-cloud-for-environmental-exploration?e=48754805">our teams have worked together</a> to streamline and share petabytes of environmental data, track real-time wildfires, and advance marine conservation efforts. This work was anchored by the agency’s visionary leadership, which also drove a full <a href="https://cloud.googleblog.com/2011/06/noaa-becomes-largest-federal-agency-to.html" target="_blank" rel="noopener opener">transition to Google Workspace</a> as its collaboration suite of choice in 2011.</p>
<p>The success of these early efforts paved the way for broader innovation. For example, NOAA Fisheries <a href="https://github.com/nmfs-opensci/CloudComputingSetup/" target="_blank" rel="noopener">pioneered</a> the development of a cloud compute accelerator pilot, giving scientists more flexible computing power they need, when they need it. NOAA also used Google DeepMind and Google Research’s WeatherNext model to <a href="https://deepmind.google/blog/how-weathernext-helped-the-national-hurricane-center-better-predict-hurricane-melissas-historic-landfall-in-jamaica/" target="_blank" rel="noopener opener">predict Hurricane Melissa’s Category 5 landfall</a> five days in advance, saving lives with early warnings and evacuations. These early pilot projects laid the groundwork for NOAA Fisheries to explore agentic AI applications powered by <a href="https://cloud.google.com/blog/topics/public-sector/gemini-for-government-your-blueprint-for-mission-impact?e=48754805">Gemini for Government</a>.</p>
<p>As we look ahead, this collaboration is a testament to what is possible when government and industry align on a shared vision. By combining Google Cloud’s HPC capabilities with NOAA’s unparalleled scientific expertise, we can help improve forecast accuracy, positively impact public safety, and ensure that the United States remains at the forefront of global weather modeling for years to come.</p>
<p><b>Ready to see how cloud technology is transforming the public sector?</b> Join us at the <a href="https://events.govexec.com/google-public-sector-summit/" target="_blank" rel="noopener">Google Public Sector Summit 2026</a> to hear more about how agencies like NOAA are advancing their missions.</p>
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<section class="Fabbec"><span class="WrMNjb">Posted in</span></p>
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<li class="I4B51b"><a href="https://cloud.google.com/blog/topics/public-sector">Public Sector</a></li>
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<p><img decoding="async" class="alignnone" src="https://channellife.news/uploads/story/2026/07/28/progress-noaa-forecaster-weather-maps-supercomputer-public-cloud-digital-illustration.webp" alt="NOAA and Google Cloud collaborate to advance weather forecasting." width="1200" height="677" /></p>
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<div data-sfc-cp="" data-sfc-root="ep"><mark data-sfc-cp="" data-sfc-root="ep">In July 2026, <span data-sfc-cp="" data-sfc-root="ep">NOAA selected Google Cloud as the primary high-performance computing (HPC) provider<!--TgQPHd|||[]--></span> for its <a href="https://cloud.google.com/blog/topics/public-sector/modernizing-the-skies-noaa-google-cloud-collaborate-advance-weather-forecasting" data-sfc-cp="" data-sfc-root="ep">Weather and Climate Operational Supercomputing System (WCOSS)<!--TgQPHd|||[]--></a><!--TgQPHd|||[]--></mark>. This massive transition marks one of the first times a major global weather center is moving operational numerical weather prediction directly to a public commercial cloud.<span data-sfc-root="ep"> [1, 2, 3] <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--></div>
<h4 role="heading" data-sfc-root="ep"><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f4bb.png" alt="💻" class="wp-smiley" style="height: 1em; max-height: 1em;" /> The Technology Backbone<!--TgQPHd|||[]--></h4>
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<ul>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">Virtual Machines<!--TgQPHd|||[]--></span>: NOAA will use Google Cloud H4D virtual machines.<span data-sfc-root="ep"> [1] <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">Processors<!--TgQPHd|||[]--></span>: The VMs are powered by fifth-generation AMD EPYC processors.<span data-sfc-root="ep"> [2] <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">Networking<!--TgQPHd|||[]--></span>: Google&#8217;s Cloud RDMA over Titanium network adapters handles tightly-coupled simulations.<span data-sfc-root="ep"> [3] <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">Performance<!--TgQPHd|||[]--></span>: Independent benchmarks showed cloud HPC generated forecasts in roughly half the time of on-premises runs.<span data-sfc-root="ep"> [3] <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--><!--TgQPHd|||[]--></li>
</ul>
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<h4 role="heading" data-sfc-root="ep"><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f680.png" alt="🚀" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Key Improvements to Forecasting<!--TgQPHd|||[]--></h4>
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<ul>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">Elastic Scaling<!--TgQPHd|||[]--></span>: Compute power can instantly ramp up during active tropical storm seasons.<!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">No Bottlenecks<!--TgQPHd|||[]--></span>: Eliminates rigid on-premises hardware limitations to accelerate research into active operations.<!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">System Resilience<!--TgQPHd|||[]--></span>: Cloud-first infrastructure minimizes downtime and shortens recovery periods.<!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">AI Integration<!--TgQPHd|||[]--></span>: Integrates <a href="https://www.noaa.gov/news-release/noaas-use-of-cloud-infrastructure-grows-to-include-weather-prediction-models" data-sfc-cp="" data-sfc-root="ep">Google DeepMind<!--TgQPHd|||[]--></a> technology to run NOAA&#8217;s new <span data-sfc-cp="" data-sfc-root="ep">AI Global Forecast System (AIGFS)<!--TgQPHd|||[]--></span>.<!--TgQPHd|||[]--></li>
<li data-sfc-cp="" data-sfc-root="ep"><span data-sfc-cp="" data-sfc-root="ep">Efficiency Boost<!--TgQPHd|||[]--></span>: The AIGFS model cuts required computer cycles by up to 99.7%, producing global forecasts in seconds instead of hours.<span data-sfc-root="ep"> [4, 5, 6, 7] <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--><!--TgQPHd|||[]--></li>
</ul>
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<h4 role="heading" data-sfc-root="ep"><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f5d3.png" alt="🗓" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Transition Timeline<!--TgQPHd|||[]--></h4>
<div data-sfc-cp="" data-sfc-root="ep">Workloads including the Global Forecast System (GFS) and Global Ensemble Forecast System (GEFS) will start moving in early 2027. The total migration away from the twin on-premises HPE Cray supercomputers (&#8220;Dogwood&#8221; and &#8220;Cactus&#8221;) is slated for completion by <span data-sfc-cp="" data-sfc-root="ep">December 2027<!--TgQPHd|||[]--></span>.<span data-sfc-root="ep"> [3, 4, 5]</span></div>
<div data-sfc-cp="" data-sfc-root="ep"></div>
<div data-sfc-cp="" data-sfc-root="ep"><span data-sfc-root="ep"> <!--TgQPHd|||[]--></span><!--TgQPHd|||[]--></div>
<div data-sfc-cp="" data-sfc-root="ep">If you would like to explore this further, I can provide more details on <span data-sfc-cp="" data-sfc-root="ep">how Google Cloud RDMA solved the networking latency problem<!--TgQPHd|||[]--></span> for these models or share info on the <span data-sfc-cp="" data-sfc-root="ep">companion cloud software contracts (HIVE and CIRRUS)<!--TgQPHd|||[]--></span> being deployed for local forecast offices. Let me know what you want to focus on!<span data-sfc-root="ep"> [3, 5, 8]</span></div>
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<div data-sfc-cp="" data-sfc-root="ep"></div>
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