by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Claire Monteleoni: A pioneer in the intersection of AI and climate science, Monteleoni has developed algorithms for climate informatics, enabling scientists to gain deeper insights from vast datasets. Her work has furthered the cause of blending AI techniques with climate research.
Dr. Karthik Kashinath: Working at Lawrence Berkeley National Laboratory, Kashinath leverages deep learning techniques to analyze weather patterns, particularly focusing on extreme events and how they relate to larger climate trends.
Dr. Tapio Schneider: Schneider's groundbreaking work at Caltech involves using AI to predict cloud formations, one of the most challenging aspects of climate modeling. His projects promise significant improvements in the precision of climate models.
Dr. David Rolnick: As a co-founder of Climate Change AI, Rolnick promotes the application of machine learning to climate science. His initiatives focus on energy, adaptation, and data analysis related to climate change.
Dr. Emily Shuckburgh: A climate scientist and mathematician, Shuckburgh's work emphasizes the translation of climate data into actionable insights. She advocates for the combined prowess of AI and data science to address climate challenges.
Dr. Gavin Schmidt: The director of NASA's Goddard Institute for Space Studies, Schmidt's work dives deep into computer modeling for climate systems. His recognition of AI's potential has pushed forward numerous collaborative projects.
Amy McGovern: Known for her AI-driven weather predictions, McGovern's research at the University of Oklahoma also extends to creating more accurate models for understanding tornadoes and other severe weather events in the context of a changing climate.
Dr. Pierre Gentine: At Columbia University, Gentine incorporates machine learning to study the Earth's hydrology, atmospheric science, and energy fluxes, focusing on how these systems interplay and influence climate patterns.
Dr. Jakob Runge: Positioned at the German Aerospace Center, Runge explores causal discovery algorithms to understand climate variables. His insights are vital for understanding the intricate web of cause-effect in climate systems.
Dr. Jennifer Braaten: Working on environmental informatics, Braaten focuses on the synthesis of machine learning with atmospheric and oceanic processes, aiming to refine predictions and gain a more granular understanding of climate dynamics.
by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Gavin Schmidt – Currently the Director of NASA's Goddard Institute for Space Studies, Dr. Schmidt is a climatologist, climate modeler, and leading voice on climate change. He has been instrumental in the development of the GISS series of models and frequently communicates complex climate science to the public.
Prof. Judith Curry – Emeritus Professor at the School of Earth and Atmospheric Sciences at Georgia Tech. Curry's research includes hurricanes, remote sensing, atmospheric modeling, polar climates, and air-sea interactions. She's also recognized for her balanced and clear insights on the challenges of modeling.
Dr. Michael E. Mann – Known for the famous “hockey stick graph”, Dr. Mann's work on observational and theoretical climate science has earned him numerous accolades. He's a distinguished professor at Penn State University and frequently engages in public discourse on climate change.
Dr. James Hansen – Often dubbed the “father of climate change awareness,” Dr. Hansen was one of the first to warn the public about the dangers of CO2 emissions. A former head of NASA GISS, Hansen is also an advocate for climate modeling accuracy and climate policy.
Dr. Cecilia Bitz – A professor at the University of Washington, Dr. Bitz specializes in polar climate modeling and is known for her significant contributions to sea ice dynamics within climate models.
Prof. Myles Allen – A leading figure at the University of Oxford, Allen has focused on the predictions of global warming given external constraints. He's been pivotal in discussions on how modeling intersects with policy, particularly in the context of achieving net-zero emissions.
Dr. Benjamin D. Santer – Working at the Lawrence Livermore National Laboratory, Dr. Santer has contributed significantly to the direct fingerprinting of human influence on the global climate, enhancing the capabilities and accuracy of climate models.
Dr. Syukuro Manabe – Awarded the Nobel Prize in Physics in 2021, Dr. Manabe's foundational work has greatly influenced global climate models. He's particularly noted for his early work on coupling oceanic and atmospheric models.
Dr. Claudia Tebaldi – As a statistician and climate scientist, Dr. Tebaldi has been instrumental in understanding climate extremes in modeling. Her work has provided insights into future projections of heatwaves, droughts, and heavy precipitation events.
Prof. Venkatramani Balaji – Associated with Princeton University and NOAA's Geophysical Fluid Dynamics Laboratory, Balaji's work on climate model infrastructure, particularly in terms of software engineering, has been vital for the community.
