Ben Kirtman – Page 3 – Frost Institute for Data Science & Computing

Be a Part of the Next Town Hall and…

As a follow-up to the January IDSC Town Hall showcasing our broadening computational resources and services, we invite you to attend another interactive Zoom session. This session will cover the IDSC unit business model and subsidy programs to assist new users and heavy users, plus, we’ll feature some guest users who will discuss their best practices, shared experiences, and recommended processes. Read more “Be a Part of the Next Town Hall and Join our User Community 3/1” →

News

Miami Dade College Machine Learning Webinar 4/6 features Ben…

The University of Miami Institute for Data Science and Computing (IDSC) is pleased to partner with the Miami Dade College, Kendall Campus, School of Engineering and Design Technology (“EnTec”) in offering MDC students a glimpse into the world of Machine Learning for Weather and Climate Forecasting through the eyes of IDSC Earth Systems Director Dr. Ben Kirtman. Read more “Miami Dade College Machine Learning Webinar 4/6 features Ben Kirtman” →

Advanced Computing

Bring your Questions to our Town Hall and Join…

As a follow-up to the January IDSC Town Hall showcasing our broadening computational resources and services, we invite you to attend another interactive Zoom session. This session will cover the IDSC unit business model and subsidy programs to assist new users and heavy users, plus, we’ll feature some guest users who will discuss their best practices, shared experiences, and recommended processes. Read more “Bring your Questions to our Town Hall and Join our User Community 3/1” →

Events - Past

Catch the Replay: IDSC Spring 2022 Town Hall

IDSC is broadening its computational resources and services! This Town Hall meeting showcased IDSC’s advanced computing resources, systems and data engineering services, workforce development and educational programming, as well as our research focus areas, outreach, events, and engagement opportunities. Read more “Catch the Replay: IDSC Spring 2022 Town Hall” →

Lectures & Seminars

Meet a Data Scientist Lecture Series: Joseph Johnson 3/25

If you have ever wondered what data scientists do, IDSC is giving you an opportunity to learn about this important, multifaceted profession. On Thursday, March 25, 2021, IDSC is hosting the sixth session in the “Meet a Data Scientist” series with Miami Herbert Business School Marketing Professor, Dr. Joseph Johnson. Read more “Meet a Data Scientist Lecture Series: Joseph Johnson 3/25” →

Meet A Data Scientist-Ben Kirtman

If you have ever wondered what data scientists do, the University of Miami Institute for Data Science and Computing (IDSC) is giving you an opportunity to learn about this important, multifaceted profession. On November 18, IDSC is hosting the second in the series of “Meet a Data Scientist” talks with Ben Kirtman, PhD, a Professor of Atmospheric Sciences at the University of Miami Rosenstiel School of Marine and Atmospheric Science. Dr. Kirtman uses atmosphere-ocean general circulation models to study the predictability and variability of the Earth’s climate system.
Read more “Meet A Data Scientist-Ben Kirtman” →

Lectures & Seminars

Forecasting the Weather: Safety, Ethics, and Really Big Data…

Hurricanes, floods, and fires, oh my: predicting extreme weather and hazards from days-to-decades is a data-intensive undertaking that is also of tremendous societal interest. We use enormous amounts of data from our best observational estimates of the state of the climate systems and a large suite of state-of-the-art climate models to make these prediction and quantify the uncertainty in these predictions. However, many decision makers and even sponsors challenge us “reduce” the uncertainty beyond that which is scientifically justifiable. This Dialogue will seek participants’ input/critiques on how we ought to confront this challenge based on some examples from the Intergovernmental Panel on Climate Change (IPCC) and others. Read more “Forecasting the Weather: Safety, Ethics, and Really Big Data 11/6” →

Grants

IDSC Partners with NSF Cyberinfrastructure Network FABRIC

The University of Miami’s Institute for Data Science and Computing (IDSC) has joined FABRIC, the advanced U.S. cyberinfrastructure network funded by the National Science Foundation (NSF), as a scientific partner. A three-year research award to UM was included in a $3 million NSF grant that will expand FABRIC to four leading scientific institutions in Asia and Europe, and support international research that benefits from real-time sharing of large-scale datasets. Read more “IDSC Partners with NSF Cyberinfrastructure Network FABRIC” →

Publications

A Study of Mesoscale Air–Sea Interaction in the Southern…

Coupling between the atmosphere and ocean is scale-dependent. For example, in the mid-latitudes and at oceanic mesoscales (spatial scales between 10 and hundreds of kilometers), the air–sea interactions are driven by the oceanic variability, and the atmosphere responds to the changes in the sea surface temperature anomalies (SSTA), which are created by fast oceanic advection. This study explores these interactions, using a regional high-resolution atmosphere–ocean coupled model with a realistic atmospheric component and a semi-idealized oceanic model of a zonal flow. Read more “A Study of Mesoscale Air–Sea Interaction in the Southern Ocean with a Regional Coupled Model” →

Publications

Understanding Intermodel Diversity When Simulating the Time of Emergence…

Using a statistical method, we examined the time of emergence (ToE), which was defined as the year when the global mean surface temperature (GMST) trend exceeds the trend explained by internal variability, using 33 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models for 1861–2100. We found that the GMST trend explained by internal variability showed minimal changes even though the GMST trend rapidly increased under the Representative Climate Pathway 8.5 scenario. Read more “Understanding Intermodel Diversity When Simulating the Time of Emergence in CMIP5 Climate Models” →

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