Dr. Johnson is a hydrometeorologist and climate scientist from the San Francisco Bay Area. He completed his B.S. in meteorology at the University of Oklahoma, M.S. in atmospheric science at Ball State University, and PhD in climate science at Utah State University. He also was a postdoc scholar at Purdue University.
Dr. Johnson has experience in operational forecasting and research. He previously held a position at an energy company as a meteorologist, has served on the American Meteorological Society Energy Committee, and has provided radio forecasts to Utah's NPR affiliate. His research interests are interdisciplinary within the earth system, such as the remote ocean impact on midlatitude climates, seasonal tropical cyclone landfall risk, drought predictability, and inter-basin interactions.
More about Zachary Johnson
Publications & Presentations
- Johnson, Z. F., D. Chavas, and H. Ramsay, 2022: Statistical framework for western Pacific landfall risk through modulation of the Pacific subtropical high and ENSO. Journal of Climate.
- Chikamoto, Y., Z. F. Johnson, S.-Y. Wang, M. J. McPhaden, and T. Mochizuki, 2020: El Niño Southern Oscillation evolution modulated by the Atlantic forcing. Journal of Geophysical Research: Oceans, 125, e2020JC016318.
- Johnson, Z. F., Y. Chikamoto, S.-Y. Wang, M. J. McPhaden, and T. Mochizuki, 2020: Pacific Decadal Oscillation remotely forced by the equatorial Pacific and the Atlantic. Climate Dynamics, 55, 789–811.
- Johnson, Z. F., Y. Chikamoto, J-J Luo, and T. Mochizuki, 2018: Ocean impacts on Australian interannual to decadal precipitation variability. Climate, 6, 61.
- Johnson, Z. F., and N. M. Hitchens, 2018: Effects of soil moisture on longitudinal dryline position in the southern Great Plains. J. Hydrometeor., 19, 273–287.
El Niño-Southern Oscillation predictability and mechanisms
Remote ocean forcing on midlatitude climate
Seasonal tropical cyclone activity
Integration of earth-system
MET 140: Severe and Unusual Weather
MET 301: Climatology and Climate Change
MET 580WI: Atmospheric Modeling