Laura E. McGowan
  • Home
  • Research
  • Teaching
  • Awards
  • Education
  • Gallery
  • Contact

Research

Current Research


Exploring canopy structure influences the vertical and spatiotemporal distribution of snow,
 utilizing the Advanced Canopy-Atmosphere-Soil algorithm (ACASA), a multi-layer soil-vegetation-atmosphere numerical model. Simulate the effect of different snow-covered canopy structures on the energy budget, and temperature and other scalar profiles within different forest types in the Sierra Nevada, California.

Recent Abstracts and Conference Proceedings


McGowan, L., Paw U, K., H. Dahlke, W. Massman, J. Frank, and R. Pyles. Reexamining Mountain Pine Beetle (MPB) Influence on Snow Water Availability Utilizing a Multilayer Higher Order Turbulence Closure Plant Canopy Model. (2018, May). Oral Presentation at American Meteorological Society’s Fourth Conference on Biogeosciences, Boise, ID. 

McGowan, L.,  Paw U, K., and H. Dahlke. What Does a Multilayer Canopy Model Tell Us About Our Current Understanding of Snow-Canopy Unloading? (2017, December). Oral Presentation at 51st American Geophysical Union Fall Meeting, New Orleans, LA.

McGowan, L., Paw U, K., and Dahlke H. (2016, December) . The Effect of the Vertical Canopy Structure on Snow Processes in Low and High Snow Scenarios in the Western California and Southern Wyoming: Simulations of Vertical Resolved Energy Fluxes & Snow Interception Using a Higher Order Closure Multi-Layer Soil-Vegetation-Atmospheric Model. Poster presentation at American Geophysical Union 50th Fall Meeting, San Francisco, CA. 


​McGowan, L., Paw U, K., Dahlke, H., Chen, S., and Pyles, R. (2016, May). The effect of differing vertical canopy structures on energy and water budgets in the forested Sierra Nevada: simulations utilizing a higher order closure multi-layer soil-vegetation-atmospheric model . 32nd Conference on Agricultural and Forest Meteorology, Salt Lake City, UT.

McGowan, L., Paw U, K., Dahlke, H., Chen, S., and Pyles, R. (2016, April). The effect of the vertical canopy structure on snow processes in low and high snow scenarios: simulations of vertical resolved energy fluxes & snow interception using a higher order closure multi-layer soil-vegetation-atmospheric model . Oral presentation at 84th Annual Western Snow Conference, Seattle, WA.

McGowan, L., Paw U, K., and Dahlke H. (2015, December). Simulation of surface energy fluxes and snow interception using a higher order closure multi-layer soil-vegetation-atmospheric model: the effect of canopy shape and structure . Oral presentation at American Geophysical Union 49th Fall Meeting, San Francisco, CA.

McGowan, L., D., Pyles, S., Chen, and Paw U, K. (2015, April). Improving modeled snow depth and density within a multi-layer-vegetation-atmosphere model . Poster presented at 5th Annual Interdisciplinary Graduate and Professional Student Symposium, Davis, CA.

McGowan, L., D. Pyles, S., Chen, and Paw U, K. (2014, December), Snow modeling within a multi-layer soil-vegetation-atmosphere model , Poster presentation at American Geophysical Union 48th Fall Meeting, San Francisco, CA.

McGowan, L., D. Pyles, S.H., Chen, and Paw U, K. (2014, May) Snow Interception by Plant Canopies: Implications on the Surface Energy Budget. Poster presented at 31st Conference on Agricultural and Forest Meteorology, Portland, OR.

McGowan, L., D. Pyles, S.H., Chen, and Paw U, K. (2014, April) Improving snow modeling within a coupled multi-layer soil-vegetation-atmosphere model: Potential influence on predicted water resources . Poster presentated at 4th Annual Interdisciplinary Graduate and Professional Student Symposium.

Picture
Proudly powered by Weebly
  • Home
  • Research
  • Teaching
  • Awards
  • Education
  • Gallery
  • Contact