ACM Gordon Bell Prize for Climate Modelling

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Genton, David E. Keyes, Zubair Khalid, Hatem Ltaief, Yan Song, Greorgiy L. Stenchikov and Ying Sun (all of King Abdullah University of Science and Technology, Saudi Arabia); Allison H. Baker (NSF National Center for Atmospheric Research, USA); George Bosilca, (NVIDIA, USA); Qinglei Cao (St. Louis University, USA); and Stefano Castruccio (University of Notre Dame, USA) - with the ACM Gordon Bell Prize for Climate Modelling for their project, “Boosting Earth System Model Outputs And Saving PetaBytes in their Storage Using Exascale Climate Emulators.” The award aims to recognize innovative parallel computing contributions toward solving the global climate crisis."/> <meta property="og:type" content="website"/> <meta property="og:image" content="https://awards.acm.org/binaries/content/gallery/acm/ctas/awards/gordon-bell-prize-climate-modelling.jpg"/> <meta name="twitter:card" content="summary_large_image"/> <meta name="twitter:site" content="@theofficialacm"/> <meta name="twitter:title" content="2024 ACM Gordon Bell Prize for Climate Modelling Recipients"/> <meta name="twitter:description" content="Awarded for paper on “Boosting Earth System Model Outputs And Saving PetaBytes in their Storage Using Exascale Climate Emulators.”"/> <meta name="twitter:image" content="https://awards.acm.org/binaries/content/gallery/acm/ctas/awards/gordon-bell-prize-climate-modelling.jpg"/> <meta property="og:url" content="https://awards.acm.org/bell-climate"/> <title>ACM Gordon Bell Prize for Climate Modelling</title>  <script async src="https://www.googletagmanager.com/gtag/js?id=AW-968097012"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'AW-968097012'); </script>  <script async src="https://www.googletagmanager.com/gtag/js?id=AW-968097012"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('set', 'linker', { 'domains': ['acm.org/','cvent.com/'], 'accept_incoming': true }); gtag('js', new Date()); gtag('config', 'AW-968097012'); </script><script>(function(w,d,t,r,u){var f,n,i;w[u]=w[u]||[],f=function(){var o={ti:"97170212", enableAutoSpaTracking: true};o.q=w[u],w[u]=new UET(o),w[u].push("pageLoad")},n=d.createElement(t),n.src=r,n.async=1,n.onload=n.onreadystatechange=function(){var s=this.readyState;s&&s!=="loaded"&&s!=="complete"||(f(),n.onload=n.onreadystatechange=null)},i=d.getElementsByTagName(t)[0],i.parentNode.insertBefore(n,i)})(window,document,"script","//bat.bing.com/bat.js","uetq");</script></head> <body>  <noscript><iframe data-cookieblock-src="https://www.googletagmanager.com/ns.html?id=GTM-5BVDRXH" data-cookieconsent="marketing" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>  <div id="header" class="row"> <nav class="top-bar eyebrow show-for-medium-up" data-topbar data-options="is_hover: false"> <section class="top-bar-section"> <div id="skiptocontent"><a href="#SkipTarget">skip to main content</a></div> <ul class="right"> <li><a href="https://www.acm.org" title="ACM Home">ACM Home</a></li> <li><a href="http://amturing.acm.org" title="ACM A.M. 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Learn about ACM's policies and procedures for integrating expectations of ethical behaviour and ACM Awards. </p></div> </li> <li class="infonav__ctaList"> <div class="infonav__ctaList-cta"> <a href='https://women.acm.org/awards/rising-star-award/' target='_blank'><img src="/binaries/ctaimagelarge/content/gallery/acm/ctas/awards/acm-w-rising-star-award.jpg" alt="acm-w-rising-star-award.jpg"></a><div class="cta-text"> <a href='https://women.acm.org/awards/rising-star-award/' target='_blank'>Call for ACM-W Rising Star Award Nominations</a></div> </div> <div class="infonav__ctaList-cta"> <a href='/policy-for-honors' target='_blank'><img src="/binaries/ctaimagelarge/content/gallery/acm/ctas/og-awards.jpg" alt="og-awards.jpg"></a><div class="cta-text"> <a href='/policy-for-honors' target='_blank'>ACM Honors & Ethics</a></div> </div> </li> </ul> </div> </li> <li class="has-dropdown not-click"><a href="#">Awards Committees</a> <div class="dropdown clearfix"> <ul class="infonav clearfix"> <li class="infonav__linkList clearfix"> <a href="/committees" class="first">ACM Awards Committee</a> <ul class="infonav__linkList-list clearfix"> <li><a href="/turing/committee" title="ACM A.M. 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fields</p></div> </li> <li class="infonav__ctaList"> <div class="infonav__ctaList-cta"> <img src="/binaries/ctaimagelarge/content/gallery/acm/ctas/awards/awards-ctte-co-chairs.jpg" alt="awards-ctte-co-chairs.jpg"><div class="cta-text"> </div> </div> </li> </ul> </div> </li> <li class="has-dropdown not-click"><a href="#">Establishing an Award</a> <div class="dropdown clearfix"> <ul class="infonav clearfix"> <li class="infonav__linkList clearfix"> <a href="/guides" class="first">Policies and Guide for Establishing an ACM Award</a> <ul class="infonav__linkList-list clearfix"> <li><a href="http://www.acm.org/publications/policies/guidelines-best-paper-award" title="ACM Publications Board Guidelines for Establishing a Best Paper Award for ACM Periodicals" >ACM Publications Board Guidelines for Establishing a Best Paper Award for ACM Periodicals</a></li> </ul> </li> <li class="infonav__landingPage"> <div> <p class="first">Policies and Guide</p> <p>ACM welcomes proposals for the establishment of new awards, to recognize contributions based on merit, service, or for an outstanding paper.</p></div> </li> <li class="infonav__ctaList"> <div class="infonav__ctaList-cta"> <a href='https://women.acm.org/awards/rising-star-award/' target='_blank'><img src="/binaries/ctaimagelarge/content/gallery/acm/ctas/awards/acm-w-rising-star-award.jpg" alt="acm-w-rising-star-award.jpg"></a><div class="cta-text"> <a href='https://women.acm.org/awards/rising-star-award/' target='_blank'>Call for ACM-W Rising Star Award Nominations</a></div> </div> <div class="infonav__ctaList-cta"> <a href='/policy-for-honors' target='_blank'><img src="/binaries/ctaimagelarge/content/gallery/acm/ctas/og-awards.jpg" alt="og-awards.jpg"></a><div class="cta-text"> <a href='/policy-for-honors' target='_blank'>ACM Honors & Ethics</a></div> </div> </li> </ul> </div> </li> </ul> </section> </nav> </div> <div id="main" > <div class="banner-container"> <div> <div> <div class="acm-banner-container" style="background: url(/binaries/bannerlarge/content/gallery/acm/banners/7_awards_acm_banner.jpg) no-repeat center 0 / 130% #000;"> <div class="gradient-wrapper" style="background: url('/binaries/content/gallery/global/gradient.png') repeat-x center 0 / 130% transparent;"></div> <div class="overlay" style="background: url('/binaries/content/gallery/global/tintpattern.png') repeat 0 0;"></div> <div class="row"> <div class="columns large-12 medium-12 banner-content"> <p class="banner-heading"> <small>Specific Types of Contributions</small> ACM Gordon Bell Prize for Climate Modelling</p> <p>Innovations in applying high-performance computing to climate modelling applications</p><a class="button" href="/bell-climate/award-recipients" > Award Recipients</a> <a class="button" href="/bell-climate/nominations" > Nominations</a> <a class="button" href="/bell-climate/committee" > Committee Members</a> </div> </div> </div> </div> </div> </div> <div class="article" id="maincontent"> <article class="has-edit-button" id="SkipTarget" tabindex="-1"> <div class="row"> <div class="columns small-12 zone-1"> <div> <div> <ul class="breadcrumbs"> <li><a href="/">Home</a></li> <li class="current"><a href="/bell-climate">ACM Gordon Bell Prize for Climate Modelling</a></li> </ul> </div> </div> </div> </div> <div class="row"> <div class="columns large-8 medium-8 small-12 zone-2"> <div> <div> <div class="articles"> <div class="landing"> <h1> About ACM Gordon Bell Prize for Climate Modelling</h1> <p>The Gordon Bell Prize for Climate Modelling will be awarded every year for ten years beginning in 2023 to recognize the contributions of climate scientists and software engineers. Nominations will be selected based on their impact and potential impact on the field of climate modelling, on related fields, and on wider society by applying high-performance computing to climate modelling applications. The award aims to recognize innovative parallel computing contributions toward solving the global climate crisis. Nominations will be selected based on the performance and innovation in their computational methods and their contributions toward improving climate modelling and our understanding of the Earth’s climate system. Financial support for this $10,000 award is provided by Gordon Bell, a pioneer in high-performance and parallel computing.</p> <p> </p></div> </div> </div> <div> <h2> Recent Gordon Bell Prize for Climate Modelling News</h2> <div class="awards-winners__related-content"> <h3> 2024 ACM Gordon Bell Prize for Climate Modelling Awarded to 12-Member Team for Developing a Technique to Provide More Accurate and Detailed Climate Change Predictions</h3> <div class="awards-winners__related-content-body"> <p>ACM today presented a 12-member team with the <a href="https://awards.acm.org/bell-climate">ACM Gordon Bell Prize for Climate Modelling</a> for their project “<a href="https://dl.acm.org/doi/10.1109/SC41406.2024.00008">Boosting Earth System Model Outputs and Saving PetaBytes in Their Storage Using Exascale Climate Emulators</a>.” The award recognizes innovative parallel computing contributions toward solving the global climate crisis.</p> <p>The members of the team are:<a href="https://awards.acm.org/award-recipients/abdulah_2128838" target="_blank"> Sameh Abdulah</a>, <a href="https://awards.acm.org/award-recipients/genton_4887239" target="_blank">Marc G. Genton</a>, <a href="https://awards.acm.org/award-recipients/keyes_7422527" target="_blank">David E. Keyes</a>, <a href="https://awards.acm.org/award-recipients/khalid_0214002" target="_blank">Zubair Khalid</a>, <a href="https://awards.acm.org/award-recipients/ltaief_6242576" target="_blank">Hatem Ltaief</a>, <a href="https://awards.acm.org/award-recipients/song_1757678" target="_blank">Yan Song</a>, <a href="https://awards.acm.org/award-recipients/stenchikov_9993168" target="_blank">Greorgiy L. Stenchikov</a> and <a href="https://awards.acm.org/award-recipients/sun_5033456" target="_blank">Ying Sun</a> (all of King Abdullah University of Science and Technology, Saudi Arabia); <a href="https://awards.acm.org/award-recipients/baker_2904330" target="_blank">Allison H. Baker</a> (NSF National Center for Atmospheric Research, USA); <a href="https://awards.acm.org/award-recipients/bosilica_0403668" target="_blank">George Bosilca</a>, (NVIDIA, USA); <a href="https://awards.acm.org/award-recipients/cao_4875628" target="_blank">Qinglei Cao</a> (St. Louis University, USA); and <a href="https://awards.acm.org/award-recipients/castruccio_7902425" target="_blank">Stefano Castruccio</a> (University of Notre Dame, USA).</p> <p>Scientists have warned that global warming, caused by the human use of fossil fuels, is reaching a crisis point. Experts assert that the prevalence of more intense storms, hurricanes, droughts, wildfires, as well as a loss of biodiversity, are signs that the crisis is worsening rapidly. They warn that, if not urgently addressed, global warming poses an existential threat to life on Earth.</p> <p>Using computational tools to better understand the rate and impacts of climate change is considered a valuable tool in developing strategies to address the problem. While climate modelling has been a scientific practice since the 1950’s, recently introduced exascale supercomputers (which can process a quintillion calculations each second) offer the opportunity to understand climate change at a far more advanced level than ever before. With the use of exascale computers, computer scientists and climate scientists have developed extremely high-resolution Earth System Models (ESM’s).</p> <p>ESM’s offer great promise in understanding the Earth’s climate but they are computationally expensive—i.e., they require a great deal of computation time and energy, and they require a tremendous amount of storage for the massive quantity of data they generate.</p> <p>To address this problem, the prize-winning team presented the design and implementation of an exascale climate <em>emulator</em> for addressing the escalating computational and storage requirements of high-resolution Earth System Model simulations. In computing, emulators allow for a dynamic interplay between different computers—with one computer system (called the host) behaving like another computer system (the guest). The growing use of emulators in climate modeling has become more common as emulators can combine and enhance efficient algorithms to handle large datasets, as well as the distribution of computations across multiple processors.</p> <p>Climate emulators have come to play a pivotal role in alleviating the computational burden and storage requirements associated with climate modeling and simulations. Because the resolution of a climate model is impacted by the trade-off between the computational costs and the representation of the climate system, improving both computational and data storage challenges in a high-performance computer allows for more advanced climate modeling capabilities.</p> <p>The ACM Gordon Bell Prize for Climate Modelling winning team contends their emulator could save several petabytes of computing storage space. By way of comparison, one petabyte is equal to the storage capacity of approximately 170 top-end servers.</p> <p>The team’s ultra-high resolution model of the earth’s climate included 54,486,360 spatial locations around the globe, as well as 318 billion hourly and 31 billion daily observations.</p> <p>The team achieved its results using high performance computing methods called Spherical Harmonic Transform (SHT) and Cholesky factorization. In the introduction to their paper, the Prize-winning team wrote: “We utilize the spherical harmonic transform to stochastically model spatio-temporal variations in climate data. This provides tunable spatio-temporal resolution and significantly improves the fidelity and granularity of climate emulation, achieving an ultra-high spatial resolution of 0.034 <sup>◦</sup> (∼3.5 km) in Space.”</p> <p>The team ran mixed-precision computations on a PaRSEC dynamic runtime system, running on 9,025 nodes on Frontier, 1,936 nodes on Alps, 1,024 nodes on Leonardo, and 3,072 nodes on Summit, with the hybrid Flop/s rates 0.976 EFlop/s, 0.739 EFlop/s, 0.243 EFlop/s, and 0.375 EFlop/s, respectively.</p> <p>The team concludes that their exascale climate emulator holds significant potential for the climate community, advancing climate research and policy making. They also maintain that their work holds significant potential in advancing the development of machine learning (ML) and AI-driven methods for forecasting or prediction applications in climate science.</p></div> </div> <div class="awards-winners__related-content"> <h3> 2023 ACM Gordon Bell Prize for Climate Modelling Awarded to a 19-Member Team</h3> <div class="awards-winners__related-content-body"> <p>ACM, the Association for Computing Machinery, presented a nineteen-member team with the inaugural  <a href="https://awards.acm.org/bell-climate">ACM Gordon Bell Prize for Climate Modelling</a> for their project, “<a href="https://dl.acm.org/doi/10.1145/3581784.3627044">The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System</a>.” The new award aims to recognize innovative parallel computing contributions toward solving the global climate crisis.</p> <p>The members of the team are: <a href="/award-recipients/taylor_8972032">Mark A. Taylor</a>, <a href="https://awards.acm.org/award-recipients/bertagna_2176478">Luca Bertagna</a>, <a href="https://awards.acm.org/award-recipients/clevenger_5523916">Conrad Clevenger</a>, <a href="https://awards.acm.org/award-recipients/foucar_1099652">James G. Foucar</a>, <a href="https://awards.acm.org/award-recipients/guba_0730293">Oksana Guba</a>, <a href="https://awards.acm.org/award-recipients/hillman_2419857">Benjamin R. Hillman</a>, <a href="https://awards.acm.org/award-recipients/salinger_7218445">Andrew G. Salinger</a> (all of Sandia National Laboratories); <a href="https://awards.acm.org/award-recipients/caldwell_7823892">Peter M. Caldwell</a>, <a href="https://awards.acm.org/award-recipients/donahue_2361250">Aaron S. Donahue</a>, <a href="https://awards.acm.org/award-recipients/keen_1778565">Noel Keen</a>, <a href="https://awards.acm.org/award-recipients/terai_3900820">Christopher R. Terai</a>, <a href="https://awards.acm.org/award-recipients/mccoy_0586726">Renata B. McCoy</a>, <a href="https://awards.acm.org/award-recipients/bader_7512244">David C. Bader</a> (all of Lawrence Livermore National Laboratory); <a href="https://awards.acm.org/award-recipients/krishna_0107943">Jayesh Krishna</a>, <a href="https://awards.acm.org/award-recipients/wu_1522227">Danqing Wu</a> (both of Argonne National Laboratory); <a href="https://awards.acm.org/award-recipients/norman_6273389">Matthew R. Norman</a>, <a href="https://awards.acm.org/award-recipients/sreepathi_4094810">Sarat Sreepathi</a> (both of Oakridge National Laboratory); <a href="https://awards.acm.org/award-recipients/white_3732330">James B. White III</a> (Hewlett Packard Enterprise); and <a href="https://awards.acm.org/award-recipients/leung_8260088">L. Ruby Leung</a> (Pacific Northwest National Laboratory).</p> <p>To develop the most effective carbon emission reduction policies, governments are working with scientists to better understand the relationship between carbon emissions, the earth’s atmosphere, and climate change. Because of the mind-boggling number of variables in understanding climate phenomena (e.g., temperature, humidity, precipitation), scientists have increasingly used powerful supercomputers to process all these variables in order to develop high resolution simulations.</p> <p>Climate scientists are especially interested in understanding convective clouds (clouds that are formed by the process of warmer air rising above a less dense atmosphere). Deep convective clouds (which can be many kilometers thick) are particularly important to simulate correctly because they drive the tropical overturning circulation and modulate energy transfer over much of the planet.</p> <p>A class of algorithmic models known as global cloud-resolving models (GCRMs) have been used to attempt to simulate deep convective clouds and have been accurate in certain instances such as providing simulations of short time periods or limited physical areas. But the Prize-winning team notes that the drawbacks of GCRM’s include the fact that running these algorithms on existing supercomputers has been slow and computationally expensive (e.g., the algorithms require too many steps).</p> <p>The team proves that by using just-introduced exascale supercomputers along with a new algorithmic model they have introduced, the longstanding challenge of developing efficient and accurate simulations of deep convective clouds can be accomplished. The prize-winning team introduces the new algorithmic model, “Simple Cloud Resolving E3SM Atmosphere Model (SCREAM).“</p> <p>The ACM Gordon Bell Prize for Climate Modelling aims to recognize innovative parallel computing contributions toward solving the global climate crisis. Climate scientists and software engineers are evaluated for the award based on the performance and innovation in their computational methods.</p></div> </div> </div> </div> </div> <div class="columns large-4 medium-4 small-12 zone-3"> <div> <div> <div class="articles single-cta"> <div class="two-col-alt article-block"> <div class="row" data-equalizer=""> <div class="large-12 medium-12 small-12 columns"> <div class="cta shadowed " data-equalizer-watch=""> <div class="row" style="margin: inherit;"> <div class="medium-12 columns d-table top-cta"> <div class="text-wrap"> <h2 class="text-left"></h2> <div class="dek"> <div> <div class="panel awards-navigation"> <h2 class="sidebar-header"><a href="/list-of-awards">Full List of ACM Awards</a></h2> </div> </div></div> </div> </div> </div> </div></div> </div> </div> </div> </div> <div> <div class="panel awards-navigation"> <h2 class="sidebar-header">ACM Awards by Category</h2> <div class="data-list"> <dl class="awards-navigation__accordion accordion" data-accordion> <dd class="accordion-navigation"> <a href="#awards_98_0" class="awards-navigation__link"> <h3>Career-Long Contributions</h3> </a> <div id="awards_98_0" class="awards-navigation__content content"> <a class="awards-navigation__link" href="/turing">ACM A.M. Turing Award</a> <hr> <a class="awards-navigation__link" href="/distinguished-service">ACM Distinguished Service Award</a> <hr> <a class="awards-navigation__link" href="/fellows">ACM Fellows</a> </div> </dd> <dd class="accordion-navigation"> <a href="#awards_98_1" class="awards-navigation__link"> <h3>Early-to-Mid-Career Contributions</h3> </a> <div id="awards_98_1" class="awards-navigation__content content"> <a class="awards-navigation__link" href="/hopper">ACM Grace Murray Hopper Award</a> <hr> <a class="awards-navigation__link" href="/acm-prize">ACM Prize in Computing</a> <hr> <a class="awards-navigation__link" href="/distinguished-members">ACM Distinguished Member</a> <hr> <a class="awards-navigation__link" href="/senior-members">ACM Senior Member</a> </div> </dd> <dd class="accordion-navigation"> <a href="#awards_98_2" class="awards-navigation__link"> <h3>Specific Types of Contributions</h3> </a> <div id="awards_98_2" class="awards-navigation__content content"> <a class="awards-navigation__link" href="/thacker">ACM Charles P. 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ACM Gordon Bell Prize for Climate Modelling