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Jason Paul Finley, Ph.D., CCM, GISP

Professor of Geography/Meteorology
Los Angeles Pierce College

Ph.D. Student: Earth and Atmospheric Sciences

Mississippi State University

Hi everyone!
Welcome to my faculty webpage. I am Dr. Jason Paul Finley, Professor of Geography & Meteorology and Faculty Advisor for Meteorology at Los Angeles Pierce College. I also teach marine meteorology part-time at USC. I began teaching at Pierce College in 2008, and was hired full time in 2011. I have been a weather enthusiast since I was 5 years old from growing up near Chicago. I received my B.S. in Meteorology from Northern Illinois University in 2002, an M.A. in Geography/Atmospheric Sciences from UCLA in 2005, and a Ph.D. in Adult Learning specializing in Meteorology/Science Education from Lesley University in 2016. I am currently pursuing a second Ph.D. degree in Earth and Atmospheric Science from Mississippi State University (expected 2023/2024), specializing in impacts of tropical oceanic-atmospheric teleconnections on  downstream tropical cyclones and precipitation using unsupervised machine learning techniques. I believe in lifelong learning as an adult, so continuing my education to utilize adult learning principles and keep relevant in Earth and Atmospheric Sciences is important to me. See my official biography below. 

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Bio

My name is Dr. Jason Finley, Professor of Geography/Meteorology and Faculty Advisor of Meteorology at Los Angeles Pierce College in Woodland Hills, CA. I am also an adjunct instructor of Marine Meteorology at USC.  I have a B.S. in Meteorology with a Mathematics minor (from Northern Illinois University), an M.A. in Geography with Synoptic Weather, Climate Dynamics, and GIS emphases (from UCLA), and a Ph.D. in Adult Learning/Development specializing in Meteorology/Science Education (from Lesley University in Boston/Cambridge, MA). My doctoral research focused on elements of dialogue education in increasing long-term learning of and engagement in severe/hazardous weather. 

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I am currently pursuing a second Ph.D. degree in Earth and Atmospheric Science from Mississippi State University (expected 2023/2024), specializing in impacts of tropical oceanic-atmospheric teleconnections on downstream tropical cyclones and precipitation. More specifically, I am investigating off-equatorial Pacific sea surface temperature variability and its impacts on downstream tropical cyclones and precipitation patterns in the southern United States using unsupervised machine learning techniques. This research is linked to El Niño Southern Oscillation (ENSO) diversity and climate change.

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I grew up near Chicago and fell in love with the extreme weather of the U.S. Midwest as a kid. I attended Joliet Junior College (the first community college in the nation) which solidified my goal to become a meteorologist.  While getting my B.S. degree, I studied and chased severe thunderstorms and tornadoes through research projects conducted by the University of Oklahoma. I then moved to California in 2002 to attend UCLA for my Master's in Geography (originally I was in the Atmospheric Science program, but later switched to Geography so I could teach at a community college. Geography is much more common in higher education).

 

At the same time, I began teaching geography and meteorology classes at UCLA, and have been teaching ever since (at UCLA, USC, and Pierce College - more than 20 years). After graduating from UCLA in 2005, I also worked in the private sector as a GIS analyst and consulting meteorologist. I did this full-time until 2011, and became a Certified Consulting Meteorologist (CCM) and a Certified GIS Professional (GISP) along the way. I started teaching at Pierce College part-time in 2008 and full-time in 2011.  I earned tenure in 2015.

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Home: About Me

Overview of Courses*
Fall 2022

* I also teach Geog 15 (Physical Geography Laboratory), Geog 19/Meteor 4 (Introductory Meteorology Laboratory), and Geog/GIS 33 (Intermediate GIS Applications).

Introduction to Physical Geography (Geog 1)

Students will study the Earth's physical environment using an Earth Systems Science approach. Emphasis is given to earth-sun relationships, atmosphere-hydrosphere interactions related to weather and climate, lithospheric processes and geomorphology, integration of climate, biomes, river and coastal features, and their spatial patterns. Tools used for geographic inquiry may include maps, satellite imagery, geographic information systems, and field investigations. 

Introduction to Weather and Climate (Geog/Meteor 3)

Students will study the earth's atmosphere. Emphasis is given to Earth-sun relationships, solar radiation inputs, earth radiation emission and temperature, atmospheric moisture measurements, adiabatic processes, clouds and precipitation formation, atmospheric pressure and wind flow, storm development, weather forecasting, and climate and climate change. Tools used of inquiry may include weather maps, satellite imagery, and GIS.

Introduction to Physical Geography Lecture and Laboratory (Geog 17)

Students will study the Earth's physical environment using an Earth Systems Science approach. Emphasis is given to earth-sun relationships, atmosphere-hydrosphere interactions related to weather and climate, lithospheric processes and geomorphology, integration of climate, biomes, river and coastal features, and their spatial patterns. Tools used for geographic inquiry may include maps, satellite imagery, geographic information systems, and field investigations. Laboratory exercises are used to increase understanding of geographical concepts. Tools used for laboratory may include topographic maps, satellite images, selected weather instruments and computer software.

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Spatial Analysis and Modeling (Geog/GIS 38)

This course will introduce students to spatial analysis. The course will also briefly review the principles of statistics and relate them to methods used in analysis of geographically referenced data. Sampling strategies for data structures (raster and vector) used in GIS will be introduced. Single and multi-layer operations (classification, coordination, modeling analysis) and spatial correlation will be covered. Applications and problems in spatial analysis will be discussed, including interpretation of results of spatial analysis. Modeling spatial analyses and geo-statistics may be done through Esri’s ModelBuilder.

Home: Courses

Published Work (A Sample)

El Niño Southern Oscillation in a World with a Changing Climate (American Meteorological Society Presentation and Poster - January 2021)

August 2020

El Niño Southern Oscillation (ENSO) is a coupled atmospheric-oceanic phenomenon that directly affects the tropical Pacific Ocean and indirectly impacts weather events across the globe. El Niño (La Niña) is defined as abnormally warm (cold) water over the eastern tropical Pacific and is considered the warm (cold) phase of ENSO. The Southern Oscillation is the change in atmospheric pressure across the tropical Pacific, where lower (higher) than normal pressure in the eastern Pacific occurs during El Niño (La Niña). Because ENSO can have devastating impacts across the world, research into how ESNO will change in the future is paramount. Recent climate change research suggests a 1- and 4-degree Celsius global temperature increase by 2100, although there is a lack of consensus on how this will affect the atmospheric and oceanic temperatures across the Pacific. Therefore, numerous studies that investigate the relationship between ENSO and proposed climate change scenarios are reviewed.

Research on this relationship indicates a broad spectrum of possibilities. Some studies suggest an intensification and increased frequency of El Niño and La Niña events in conjunction with a weaker Walker Circulation as the climate warms. The latest reports from the Intergovernmental Panel on Climate Change (IPCC) support a theory that an expansion of warm water in the western Pacific (along with rainfall) will flow into the central and eastern Pacific. Additional research claims that changes in the multiple, non-linear components of ENSO could cancel each other and yield no statistically significant changes. Nonetheless, some research suggests that the impacts of ENSO could worsen regardless of how ENSO changes. For example, climate change may cause an increased frequency of temperature extremes and drought within the midlatitudes during ENSO events.

There remains a great deal of uncertainty about the impact of climate change on ENSO. Because these impacts can have dire societal consequences, more research is needed to understand the ENSO system, the interactions of ESNO components, and how climate change will alter these components. Thus, the need for scientists to understand more completely the climate system itself, let alone how each piece of the complex ENSO system will respond to global climate change, is briefly discussed.

A Precipitation-Induced Landslide Susceptibility Model for Natural Gas Transmission Pipelines
(The 2010 8th International Pipeline Conference)

September 2010

Landslides related to heavy rainfall can cause extensive damage to natural gas transmission pipelines. We have developed and implemented a geographic information system (GIS) model that evaluates near real-time precipitation-induced landslide susceptibility. This model incorporates state-wide precipitation data and geologically-based landslide classifications to produce rapid landslide risk evaluation for Pacific Gas & Electric Company’s (PG&E) gas transmission system during winter rain storms in California. The precipitation data include pre-storm event quantitative precipitation forecasts (QPF) and post-storm event quantitative precipitation estimates (QPE) from the United States National Oceanic and Atmospheric Administration (NOAA). The geologic classifications are based on slope, susceptible geologic formations, and the locations of historic or known landslide occurrences. Currently the model is calibrated using qualitative measures. Various scientists have developed large landslide databases with associated rainfall statistics to determine rainfall thresholds that trigger landslides. With a sufficient number of landslides, we can more precisely determine minimum rainfall thresholds using similar methods.

The Relationship between El Niño and the Duration and Frequency of the Santa Ana Winds of Southern California
(The Professional Geographer)

May 2007

This study examines the variability of the duration and frequency of Santa Ana winds due to El Niño over a thirty-three-year period. Daily Weather Maps and NCEP/NCAR Reanalysis were used to study large-scale upper-level and surface circulation patterns during wind events. A Student's t-test was used to determine statistically significant changes in the winds during March of El Niño winters. A significant decrease in the duration and frequency of wind events was found in March during El Niño. This can be attributed to the decrease in strength and frequency of the Great Basin high pressure and the increase in wintertime cyclones in southern California.

Home: Publications

Campus and Weather Station Location

6201 Winnetka Ave., Woodland Hills, CA 91371

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