Publications
Large-scale analysis of the dynamic and thermodynamic properties of landfalling atmospheric rivers (ARs) over western Europe is performed utilizing 38 years of the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), reanalysis dataset. Read more “Dynamic and Thermodynamic Modulators of European Atmospheric Rivers”
News
The Institute for Data Science and Computing (IDSC) has appointed Dr. Benjamin Kirtman as it’s deputy director. Dr. Kirtman is a world-renowned research scientist and professor, specializing in climate and atmosphere studies. He came to UM’s Rosenstiel School for Marine and Atmospheric Science in 2007 after leaving his position as a professor at George Mason University, and has since served as the Program Director for Climate and Environmental Hazards at the Center for Computational Science.
Publications
Abstract Warm-season precipitation in the U.S. “Corn Belt,” the Great Plains, and the Midwest greatly influences agricultural production and is subject to high interannual and intraseasonal variability. Unfortunately, current seasonal and subseasonal forecasts for summer precipitation have relatively low skill. Read more “Predictability of Midsummer Great Plains Low-Level Jet and Associated Precipitation”
Grants
Residents of Nicaragua were still being pummeled by Hurricane Iota’s powerful winds and life-threatening storm surge on Tuesday when a group of University of Miami scientists and administrators more than a thousand miles away explained to a virtual audience how the work of a newly funded cooperative research institute and the infrastructure that supports it will help improve our understanding of tropical cyclones and other climate events. Read more “UM and NOAA Launch One-of-a-Kind Climate Collaboration”
News
Scientists working on the next frontier of weather forecasting are hoping that weather conditions 3-to-4 weeks out will soon be as readily available as seven-day forecasts. Having this type of weather information—called subseasonal forecasts—in the hands of the public and emergency managers can provide the critical lead time necessary to prepare for natural hazards like heat waves or the next polar vortex. Read more “Experiment Closes Critical Gap in Weather Forecasting”
Publications
There is a growing list of examples for the existence of the signal‐to‐noise paradox, where in the ensemble‐based climate prediction, the model ensemble mean forecast generally shows higher correlations with observations than with individual ensemble members. Read more “Understanding the Signal-to-Noise Paradox with a Simple Markov Model”
Publications
The sinking of the cargo ship SS El Faro is investigated by providing a comprehensive analysis of the wind, wave, and ocean currents associated with Hurricane Joaquin. Using state-of-the-art reanalyses, the event is assessed in high resolution and from a long-term climate perspective. Read more “Extreme Environmental Forcing on the Container Ship SS El Faro”
Publications
South Florida resource management, particularly the Everglades restoration effort, is beginning to consider projections of precipitation from multiple climate models for decision‐making. Because precipitation changes can significantly affect the Everglades ecosystem, Read more “Assessment of Uncertainty in Multi-Model Means of Downscaled South Florida Precipitation for Projected (2019-2099) Climate”
Publications
The Subseasonal Experiment (SubX) is a multimodel subseasonal prediction experiment designed around operational requirements with the goal of improving subseasonal forecasts. Seven global models have produced 17 years of retrospective (re)forecasts and more than a year of weekly real-time forecasts. Read more “The Subseasonal Experiment (SubX): A Multimodel Subseasonal Prediction Experiment”
News
Across the University of Miami’s three campuses, faculty and students are immersed in research aimed at providing shape and solutions to some of the world’s most pressing issues. Helping to solve some of the riddles is the use of data science—big batches of information filtered through high-performance computers that aid researchers in their efforts to decipher complex formulas and create predictive applications. Here’s a look at some of the ongoing work: Read more “Snapshots of Data Science in Action”