{"id":4315,"date":"2025-10-21T19:47:43","date_gmt":"2025-10-21T19:47:43","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2025\/10\/21\/uc-santa-cruz-maps-coastal-flooding-with-nvidia-accelerated-computing\/"},"modified":"2025-10-21T19:47:43","modified_gmt":"2025-10-21T19:47:43","slug":"uc-santa-cruz-maps-coastal-flooding-with-nvidia-accelerated-computing","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2025\/10\/21\/uc-santa-cruz-maps-coastal-flooding-with-nvidia-accelerated-computing\/","title":{"rendered":"UC Santa Cruz Maps Coastal Flooding With NVIDIA Accelerated Computing"},"content":{"rendered":"<div>\n\t\t<span class=\"bsf-rt-reading-time\"><span class=\"bsf-rt-display-label\"><\/span> <span class=\"bsf-rt-display-time\"><\/span> <span class=\"bsf-rt-display-postfix\"><\/span><\/span><\/p>\n<p>Coastal communities in the U.S. have a 26% chance of flooding within a 30-year period. This percentage is expected to increase due to climate-change-driven sea-level rise, making these areas even more vulnerable.<\/p>\n<p>Michael Beck, professor and director of the UC Santa Cruz<a target=\"_blank\" href=\"https:\/\/climateresilience.ucsc.edu\/\" rel=\"noopener\"> Center for Coastal Climate Resilience<\/a>, focuses on modeling and mapping the benefits of coral reefs and mangroves for reducing flood risk, which helps inform adaptation and preservation efforts.<\/p>\n<p>Beck and his team produce detailed, NVIDIA GPU-accelerated visualizations of coastal flooding to help government agencies, nongovernmental organizations and financial organizations better understand flood risks and demonstrate how nature-based solutions can mitigate damages on shore.<\/p>\n<p>\u201cWe view visualizations as fundamental to motivating action,\u201d said Beck. \u201cThese are difficult problems revolving around people, some of them expensive to fix, so you\u2019ve got to be able to visualize the solutions and ensure they\u2019re going to work.\u201d<\/p>\n<p>To accelerate the simulations, the center uses <a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/cuda-x\/\" rel=\"noopener\">NVIDIA CUDA-X<\/a> software, including the cuPyNumeric library and nvfortran compiler, running on NVIDIA RTX GPUs awarded through the<a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/industries\/higher-education-research\/academic-grant-program\/\" rel=\"noopener\"> NVIDIA Academic Grant Program<\/a>.<\/p>\n<figure id=\"attachment_86069\" aria-describedby=\"caption-attachment-86069\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-86069\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/image3-1.png\" alt=\"\" width=\"936\" height=\"547\"><figcaption id=\"caption-attachment-86069\" class=\"wp-caption-text\">Image of a 2D flood model of Santa Cruz, California, rendered in Unreal Engine 5 and pixel streamed as an interactive application.<\/figcaption><\/figure>\n<h2><b>Accelerating Flood Mapping With NVIDIA GPUs\u00a0<\/b><\/h2>\n<p>Flood modeling starts with a question such as, \u201cWhat would happen to Santa Cruz, California, in the event of a 100-year storm?\u201d<\/p>\n<figure id=\"attachment_86072\" aria-describedby=\"caption-attachment-86072\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-86072\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/image4-1.png\" alt=\"\" width=\"936\" height=\"1042\"><figcaption id=\"caption-attachment-86072\" class=\"wp-caption-text\">Benefits of adaptation strategies in Capitola, California. The image shows flood hazard maps that are used to calculate risks and property-level economic benefits from adaptation strategies to increase protection benefits using seawalls or restored dunes and nearshore rocky reefs. Results from California 5th Climate Assessment (in review).<\/figcaption><\/figure>\n<p>To answer that question, the research team uses simulation tools such as<a target=\"_blank\" href=\"https:\/\/github.com\/Deltares\/SFINCS\" rel=\"noopener\"> SFINCS<\/a> and\u00a0 feeds the results into the<a target=\"_blank\" href=\"https:\/\/www.unrealengine.com\/en-US\/unreal-engine-5\" rel=\"noopener\"> Unreal Engine 5<\/a> rendering engine to produce data-driven videos showing various flooding scenarios.<\/p>\n<p>Beck\u2019s team accelerated their flood risk models and visualizations from a process that originally took approximately six hours on CPU workloads to just about 40 minutes using a single<a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/products\/workstations\/rtx-6000\/\" rel=\"noopener\"> NVIDIA RTX 6000 Ada Generation GPU<\/a>. With the team\u2019s cluster of four GPUs, they can now run four simulations simultaneously.<\/p>\n<p>\u201cWe were able to reduce the computation by 3-4x, with some workloads being even faster,\u201d said David Guti\u00e9rrez, senior coastal modeler at UC Santa Cruz\u2019s Center for Coastal Climate Resilience. \u201cThis speedup gave us the capacity to run a sensitivity analysis beforehand and make sure we\u2019re not making any assumptions or setting the wrong parameters.\u201d<\/p>\n<p>Less time spent on modeling and visualizing each site meant the researchers could set more ambitious, global goals for their project.<\/p>\n<h2><b>Digital Flood Mapping Goes Global <\/b><\/h2>\n<p>The team\u2019s current endeavor is to map all small-island developing states globally \u2014 from Tonga to Trinidad and Tobago \u2014 before the<a target=\"_blank\" href=\"https:\/\/unfccc.int\/cop30\" rel=\"noopener\"> COP30<\/a> climate change conference in November.<\/p>\n<figure id=\"attachment_86075\" aria-describedby=\"caption-attachment-86075\" class=\"wp-caption aligncenter\"><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-86075\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2025\/10\/St_Martin_01-1-1680x943.png\" alt=\"\" width=\"1680\" height=\"943\"><figcaption id=\"caption-attachment-86075\" class=\"wp-caption-text\">Still from a video of a 2D flood model of Saint Martin, France, rendered in Unreal Engine 5.<\/figcaption><\/figure>\n<p>\u201cThe kind of high-resolution modeling that we\u2019re doing is very tricky,\u201d Beck said. \u201cWe\u2019re trying to show not just weather and the problems that weather creates, but run scenarios with solutions.\u201d<\/p>\n<h2><b>Put Your Money Where the Marine Life Is <\/b><\/h2>\n<p>One way to motivate coral reef preservation is by insuring them based on their value as natural infrastructure, capable of serving as a line of defense during climatic events.<\/p>\n<p>This is already becoming a reality in places like the Mesoamerican Barrier Reef in Mexico, south of Cancun on the Mayan Riviera.<\/p>\n<p>Through his work with<a target=\"_blank\" href=\"https:\/\/www.nature.org\/en-us\/\" rel=\"noopener\"> The Nature Conservancy<\/a>, Beck presented visualizations of reefs in the event of a hurricane to interested parties, including hotel owners along the coast, the Mexican government and<a target=\"_blank\" href=\"https:\/\/www.worldbank.org\/ext\/en\/home\" rel=\"noopener\"> World Bank Group<\/a>.<\/p>\n<p>These groups ended up investing in a parametric insurance policy to protect the coral reef, which stipulated that if the wind reached over 100 knots, a payout would be triggered to restore the damaged reef.<\/p>\n<p>\u201cTo motivate action, you have to understand and visualize a bit more about the increasingly risky storm events that we\u2019re facing right now, because of where they\u2019re developing and the impacts of climate change,\u201d said Beck.<\/p>\n<p>Other regions throughout the Caribbean and Hawaii are also starting to adopt similar policies.<\/p>\n<p>Insurance policies like this help ensure that funding is available to restore reefs after storms \u2014 protecting coastal communities against further, more severe flooding damage.<\/p>\n<p>\u201cYou\u2019ve got all these coral heads and the waves damage them, so you need to either take them to a nursery or cement them back on the reef,\u201d Beck said. \u201cAlso, you need to get all the trash off that comes back out with the flood from the land \u2014 everything from fishing nets to refrigerators \u2014 that\u2019s the flotsam and jetsam of our life.\u201d<\/p>\n<p>These researchers are now working toward modeling flooding across California\u2019s coastal regions through a project called<a target=\"_blank\" href=\"https:\/\/climateresilience.ucsc.edu\/focus-areas\/projects\/\" rel=\"noopener\"> CoSMoS ADAPT<\/a>.<\/p>\n<p>The project\u2019s primary goal is to strengthen the<a target=\"_blank\" href=\"https:\/\/www.usgs.gov\/centers\/pcmsc\/science\/coastal-storm-modeling-system-cosmos\" rel=\"noopener\"> USGS\u2019s Coastal Storm Modeling System (CoSMoS)<\/a>, which is the first toolkit for quantitative evaluation of the cost-effectiveness of the state\u2019s coastal adaptation options, including nature-based solutions.<\/p>\n<p>\u201cCoSMoS predicts what risks will be now and into the future,\u201d Beck said. \u201cWe\u2019re adding the solutions that will reduce the risk \u2014 from dunes to sea walls and our reefs \u2014 and at a variety of levels, this is going to demand acceleration and heavy computation.\u201d<\/p>\n<h2><b>Apply for an NVIDIA Academic Grant\u00a0<\/b><\/h2>\n<p>The NVIDIA Academic Grant Program is calling for research proposals now through Wednesday, Dec. 31, to advance work in three interest areas: generative AI and model development, generative AI alignment and inference, and robotics and edge AI. Full-time faculty members at accredited academic institutions are eligible to apply.<\/p>\n<p><i>Learn more about the<\/i><a target=\"_blank\" href=\"https:\/\/www.nvidia.com\/en-us\/industries\/higher-education-research\/academic-grant-program\/\" rel=\"noopener\"> <i>NVIDIA Academic Grant Program<\/i><\/a><i>.<\/i><\/p>\n<p><em>Main video above shows v<\/em><em>isualization of the data layers used in a 2D wave and flood model for assessment of reef and restoration benefits in Christiansted, a town in Saint Croix, one of the U.S. Virgin Islands.<\/em><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/uc-santa-cruz-maps-coastal-flooding\/<\/p>\n","protected":false},"author":0,"featured_media":4316,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4315"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=4315"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/4315\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/4316"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=4315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=4315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=4315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}