Wild Wyoming Wind PDF Download

Across the western United States, there are many different types of significant weather events that can disrupt society, cause human health hazards, and have significant impact the water resources over this region. Such events can include strong wind events, heavy precipitation, and intense wildfires ravaging forests. In this talk, we focus on an analysis of strong wind events and potential wildfire changes by the end of the century, with a focus over Wyoming. In the first part of this defense, I will focus on the prediction of strong winds over Wyoming. Strong wind events cause significant societal damage ranging from loss of property and disruption of commerce to loss of life. Severe winds are often associated with thunderstorms, mid-latitude cyclones, and tropical cyclones. However, over portions of the United States, the strongest winds occur in the cold season and may be driven by interactions with the terrain (downslope winds, gap flow, and mountain wave activity). This work begins by validating the High-Resolution Rapid Refresh (HRRR) model wind speed for the 2016-2022 winter months over Wyoming and Colorado, an area prone to downslope wind-storms and gap flows due to its complex topography. Significant biases were identified across all seasons in HRRR-simulated wind speeds.. These results lead to two questions: 1) does increasing the horizontal resolution improve the representation of strong wind events over this region, and 2) are the biases in HRRR-forecasted winds related to the selected planetary boundary layer (PBL), surface layer (SL), and/or land surface model (LSM) parameterizations? Several high resolution (1-km) Weather Research and Forecasting (WRF) simulations are conducted to address these two main questions. An analysis of these simulations compared to the 3-km HRRR and observations is presented, and an optimal parameterization combination is identified. Moreover, proxies for predicting strong winds are also discussed. In the second part of this defense, I will extend the analysis of present-day wind fore-casts to future climate scenarios, thus coupling in water availability as well. Wildfires pose substantial risks to human health and safety and air quality and also have large impacts on the climate system. Wildfires release a wide array of aerosol and chemical species into the atmosphere. These aerosols have negative health impacts, can be deposited onto snow (thus enhancing melting), and alter the Earth’s radiative balance. This study uses numerous dynamically downscaled climate models to investigate changes in different meteorological variables (temperature, precipitation, vapor pressure deficit, etc.), which can be used as proxies for wildfire conditions, as well as different wildfire indices to identify changes by the end of the century. The results analyzed are from an ensemble of downscaled simulations, with additional analyses conducted to understand the range of possibilities from different emission/socioeconomic pathways, as well as for different model grid spacings. This work finds that there is considerable sensitivity in wildfire risk to both the socioeconomic pathway as well as model grid spacing.