Per il ciclo “Environmental Meteorology Seminar”, lunedì 23 giugno alle ore 14:30 si terrà il seminario dal titolo: “Atmospheric Rivers and Extreme Precipitation: Research and Applications at the Center For Western Weather and Water Extremes”, a cura di M. Ralph e L. Delle Monache del Center for Western Weather and Water Extremes (CW3E) dell’ Università della California (San Diego).
Sarà possibile assistere al seminario in presenza, presso la Lecture Room 2R (Floor 2) del DICAM dell’ Università di Trento, o online su zoom, collegandosi al seguente link: https://unitn.zoom.us/j/87802819280 (Meeting ID: 878 0281 9280, Passcode: 251725).
I relatori saranno al DICAM dalla mattina del 23 giugno alla mattina del 24 giugno. Chi desiderasse incontrarli può contattarli per organizzare un incontro: ldellemonache@ucsd.edu, mralph@ucsd.edu
Abstract
At the Center for Western Weather and Water Extremes we focus on
understanding the physical processes that create extremes in
precipitation, ranging from flood to drought, and on advancing extreme
weather monitoring, predictions, climate projections, and decision
support tools. In this seminar we will discuss our research on
atmospheric rivers (ARs), bands of moisture in the sky that can carry
more water (as vapor) than any terrestrial river in the world (as
liquid), which can deliver as much as half of California’s water
supply in a handful of precipitation events every year. We will
introduce the AR scale and discuss how climate change may impact the
frequency and intensity of ARs. We will then talk about the AR
Reconnaissance program, a Research and Operations Partnership with the
U.S. National Oceanic and Atmospheric Administration (NOAA)'s National
Center for Environmental Prediction (NCEP) that employs U.S. Air Force
and NOAA aircrafts, along with other data collection methods, to fill
critical data gaps needed to improve forecasts of landfalling ARs
affecting the U.S. West Coast. Next, we will introduce the
Forecast-Informed Reservoir Operations (FIRO) program, which is
exploring how advances in weather prediction and observations can inform
reservoir operations to improve the water supply and reduce the risk of
flooding. We will conclude with an overview of CW3E'efforts on
developing physics- and AI-based prediction capabilities to better
forecast ARs and the associated extreme precipitation.
F. Martin Ralph's Bio
Dr. F. Martin Ralph is a meteorologist focused on atmospheric rivers,
understanding the origins of floods, and improving predictions for water
management and flood control applications. After 21 years at NOAA, he
created the “Center for Western Weather and Water Extremes” at UC
San Diego. He’s published over 150 peer-reviewed scientific articles
and has developed programs on new science and technology and their
application to solving practical problems. He is a leading expert on
atmospheric rivers and provides input to policymakers on western weather
and water extremes. He is a leader in the development of
Forecast-Informed Reservoir Operations (FIRO), working closely with
federal, state, and local water managers. He is a Fellow of the
American Meteorological Society and has received awards from several
organizations. He has a B. S. in Meteorology from the University of
Arizona and a Ph.D. in Atmospheric Sciences from UCLA.
Luca Delle Monache's Bio
Dr. Luca Delle Monache is the Director of Research of the Center for
Western Weather and Water Extremes (CW3E), Scripps Institution of
Oceanography, University of California San Diego. Dr. Delle Monache
oversees the research and development of the Center’s modeling, data
assimilation, postprocessing, artificial intelligence, hydrology,
subseasonal-to-seasonal, and supercomputing capabilities, with the goal
of maintaining state-of-the-art models and tools while actively
exploring innovative algorithms and approaches. In close coordination
with the Center Director and the management team, he develops new
scientific and programmatic strategies to maintain and further expand
CW3E leadership on understanding, observing, and predicting extreme
events in Western North America and other regions across the world. His
interests include predicting extreme weather and water events via
numerical weather prediction, data assimilation, artificial
intelligence, and the design of ensemble methods for probabilistic
prediction and uncertainty quantification. He has also made several
contributions to renewable energy and air quality. He earned an M.S. in
Mathematics from the University of Rome, Italy, an M.S. in Meteorology
from San Jose State University, U.S., and a Ph.D. in Atmospheric
Sciences from the University of British Columbia, Canada.