Arcodia\u2019s work is helping to redefine how we understand and predict the Earth\u2019s complex climate system. Her work blends advanced data science with atmospheric physics, creating innovative pathways toward more accurate weather and climate forecasting, from weeks to even decades ahead.<\/p>\n
Her current research centers on advancing Earth system predictability using explainable artificial intelligence (XAI), a branch of machine learning that opens the \u201cblack box\u201d of algorithms to provide human-understandable reasoning behind predictions. Her mission is simple, yet ambitious: extract useful signals from the inherent noise of the climate system, enabling society to better prepare for both extreme weather events and long-term climate risks.<\/p>\n
Arcodia\u2019s journey into climate science was far from conventional. She began her academic career at Georgetown University, where she pursued a degree in theoretical mathematics. \u201cI always enjoyed math,\u201d she reflected, \u201cbut at the time, I wasn\u2019t quite sure what I wanted to do with it.\u201d Along with her interest in numbers, she was also captivated by space and astronomy, contemplating a future in astrophysics or aerospace science.<\/p>\n
After graduation, she embarked on a transformative volunteer experience, teaching second grade on a remote island in Micronesia. Life on the island was serene\u2014until it wasn\u2019t. \u201cWe were hit by a Category 1 typhoon and there had been no warning. That moment was a wake-up call,\u201d she said. Witnessing the impacts of severe weather without any advance notice changed the trajectory of her life, igniting a new passion for understanding extreme weather and the systems that drive it. This experience ultimately led her to the UM\u2019s Rosenstiel School, where she earned her Ph.D. in Atmospheric Science in 2021.<\/p>\n
![\"Weno,](\"https:\/\/idsc.miami.edu\/magazine\/wp-content\/uploads\/2025\/09\/iStock-1269823547-1024x768.jpg\")
Weno Island, Federated States of Micronesia<\/p><\/div>\n
\u201cWe are so pleased to welcome Marybeth Arcodia back to UM as an assistant professor,\u201d said Dr. Ben Kirtman<\/strong>, Academic Dean for the Rosenstiel School. \u201cAfter earning her Ph.D. here with us, she has gone on to make great strides in her research and returns with so much to offer our students. Her tenacity, creativity, and drive to use her work as a force to help others and improve lives are all qualities that really resonate with the up and coming generation of scientists.\u201d<\/p>\n At the core of Arcodia\u2019s research is an intriguing paradox: the climate system is both chaotic and\u2014under the right circumstances\u2014predictable.<\/p>\n \u201cPeople often use \u2018chaotic\u2019 casually to mean messy or disordered, but in climate science, chaos has a very specific meaning,\u201d she explained. \u201cIt refers to how small errors or uncertainties in forecasting can grow over time, making long-term predictions difficult.\u201d Instead of viewing chaos as an obstacle, Arcodia sees it as a scientific opportunity. \u201cWhat are the elements we can predict? How do different components of the Earth system interact to form signals we can extract from the noise?\u201d<\/p>\n Her work focuses on identifying these signals, like patterns of ocean temperatures, pressure systems and atmospheric waves, that can enhance forecast accuracy from sub seasonal, or weeks ahead, to decadal, more than 10 years down the line.<\/p>\n A major component of Arcodia\u2019s work involves neural networks and machine learning, particularly XAI. \u201cNeural networks are at the core of what I do,\u201d she said. Unlike many data scientists who prioritize model accuracy alone, Arcodia would rather see transparency and interpretability. \u201cAs a climate scientist, I need to understand why a prediction was made, not just that it was.\u201d This approach has led her to a powerful concept: forecasts of opportunity. These are windows of time when the climate system naturally aligns in a way that enhances prediction skill.<\/p>\n \u201cWe\u2019ll never make perfect predictions 100 percent of the time,\u201d Arcodia explained. \u201cThere are moments when the atmosphere and ocean enter a particular state, for example, sea surface temperatures in the Indian or Pacific Oceans, that make downstream impacts more predictable. That\u2019s a forecast of opportunity.\u201d One example her research has shown is that tropical patterns can have cascading effects across continents. \u201cAtmospheric waves generated in the tropics can travel thousands of kilometers and influence rainfall in the United States weeks later.\u201d<\/p>\n To illustrate how atmospheric signals work, Arcodia borrows an analogy from everyday life: noise-canceling headphones. \u201cThese work by sending out sound waves that interfere with external noise. In the climate system, we have something similar, constructive and destructive interference between atmospheric waves.\u201d<\/p>\n When multiple climate signals align constructively, they can amplify extreme weather events, leading to significant rainfall, flooding, or high sea-level anomalies. Conversely, when they cancel each other out destructively, systems may weaken or shift, potentially averting disaster or causing unexpected droughts. Understanding these interactions helps researchers like Arcodia fine-tune climate predictions and offer more nuanced, location-specific guidance.<\/p>\n In technical circles, Arcodia speaks of \u201cseamless prediction across timescales,\u201d a concept she\u2019d like to take the opportunity to demystify. \u201cIt simply means we should view the climate system as a whole\u2014there\u2019s no magical shift that happens at two weeks or three months or 10 years. These timescales are just analytical boxes we use.\u201d<\/p>\n Her work aims to bridge these gaps by developing models that are robust across multiple forecasting windows, helping decision-makers prepare for what\u2019s coming next month, next year, and beyond.<\/p>\n At the heart of Arcodia\u2019s research is a deep commitment to translating science into action. Improved climate predictability has tangible benefits: earlier warnings, better infrastructure planning, and more resilient communities. \u201cIt\u2019s not just about scientific insight,\u201d she said. \u201cIt\u2019s about working with emergency managers, municipal leaders and even farmers to make better decisions based on forecast confidence.\u201d However, for this to work, communication is key.<\/p>\n Arcodia has already learned valuable lessons along the way. \u201cI was surprised by just how crucial communication is. Publishing papers is important, but if your research doesn\u2019t reach the right people, or isn\u2019t explained clearly, it won\u2019t have the impact it should.\u201d<\/p>\n She also has some words of advice for aspiring scientists hoping to combine data science with climate research \u201cBe a scientist first,\u201d Arcodia said. With machine learning tools growing more powerful by the day, it\u2019s tempting to jump straight into technical complexity. Arcodia emphasizes the importance of curiosity, creativity and grounding your work in real-world questions.<\/p>\n She advises students to \u201cAlways ask yourself: Why am I asking this question? What impact will the answer have? How does it affect people and places around the world?\u201d<\/p>\n Looking ahead, Arcodia is excited about the potential for interdisciplinary collaboration that comes with joining IDSC. \u201cIt\u2019s an incredible community of researchers from across different fields and I\u2019m thrilled to be part of it. Climate challenges demand diverse perspectives from everyone from oceanographers to data scientists to social scientists\u2014and everyone has a role to play.\u201d<\/p>\n Arcodia\u2019s ultimate vision is a future where machine learning doesn\u2019t just enhance predictions but builds resilience, fosters equity and drives sustainable action. Whether it\u2019s designing better coastal defenses or shaping climate policy, she is working to ensure that science is not just accurate, but impactful.<\/p>\n Arcodia represents a new generation of climate scientists who are multidisciplinary, data-driven and socially engaged. With her unique blend of theoretical rigor, technological expertise, and human-centered motivation, she is not only decoding the climate system\u2019s chaos but ensuring that her insights help communities around the world navigate a more uncertain future.<\/p>\n by Kimberly Bobson Feldman<\/p>\n","protected":false},"excerpt":{"rendered":" In a world increasingly shaped by unpredictable forces of nature, few scientists are as dedicated to uncovering the hidden patterns within the chaos as Marybeth Arcodia. In a world increasingly shaped by unpredictable forces of nature, few scientists are as dedicated to uncovering the hidden patterns within the chaos as Marybeth Arcodia. She joins the […]<\/p>\n","protected":false},"author":17,"featured_media":2780,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[49,1150],"tags":[1220,1219,1168],"class_list":["post-2895","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-earth-systems","category-fall-2025","tag-atmospheric-physics","tag-kimberly-bobson-feldman","tag-marybeth-arcodia"],"_links":{"self":[{"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/posts\/2895","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/comments?post=2895"}],"version-history":[{"count":1,"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/posts\/2895\/revisions"}],"predecessor-version":[{"id":2896,"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/posts\/2895\/revisions\/2896"}],"wp:attachment":[{"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/media?parent=2895"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/categories?post=2895"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idsc.miami.edu\/magazine\/wp-json\/wp\/v2\/tags?post=2895"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}“Climate challenges demand diverse perspectives
\nfrom everyone from oceanographers to data scientists
\nto social scientists\u2014and everyone has a role to play.\u201d<\/h4>\n