Kathleen Weathers

Satellite-based aerosol optical depth estimates over the continental US during the 2020 wildfire season: Roles of smoke and land cover
Daniels, J, L Liang, KB Benedict, J Brahney, R Rangel, Kathleen C. Weathers, and AG Ponette-González. (APR 15) 2024. “Satellite-Based Aerosol Optical Depth Estimates Over The Continental Us During The 2020 Wildfire Season: Roles Of Smoke And Land Cover”. Science Of The Total Environment 921. doi:10.1016/j.scitotenv.2024.171122.
Using Knowledge-Guided Machine Learning To Assess Patterns of Areal Change in Waterbodies across the Contiguous United States
Wander, HL, MJ Farruggia, S La Fuente, MC Korver, RJ Chapina, J Robinson, A Bah, et al. (2024 MAR 6AD) 2024. “Using Knowledge-Guided Machine Learning To Assess Patterns Of Areal Change In Waterbodies Across The Contiguous United States”. Environmental Science & Technology. doi:10.1021/acs.est.3c05784.
A synergistic future for AI and ecology
Han, Barbara A., Kush R. Varshney, Shannon L. LaDeau, Ajit Subramaniam, Kathleen C. Weathers, and Jacob Zwart. 2023. “A Synergistic Future For Ai And Ecology”. Proceedings Of The National Academy Of Sciences 120 (38). Proceedings of the National Academy of Sciences. doi:10.1073/pnas.2220283120.
Modeling black carbon removal by city trees: Implications for urban forest planning
Elderbrock, Evan, Alexandra G. Ponette-González, Jenna E. Rindy, Jun-Hak Lee, Kathleen C. Weathers, and Yekang Ko. 2023. “Modeling Black Carbon Removal By City Trees: Implications For Urban Forest Planning”. Urban Forestry &Amp; Urban Greening 86. Elsevier BV: 128013. doi:10.1016/j.ufug.2023.128013.
Uncertainty in projections of future lake thermal dynamics is differentially driven by lake and global climate models
Wynne, JH, W Woelmer, TN Moore, RQ Thomas, Kathleen C. Weathers, and CC Carey. (JUN 2) 2023. “Uncertainty In Projections Of Future Lake Thermal Dynamics Is Differentially Driven By Lake And Global Climate Models”. Peerj 11. doi:10.7717/peerj.15445.
Nutrient function over form: Organic and inorganic nitrogen additions have similar effects on lake phytoplankton nutrient limitation
Volponi, Sabrina N., Heather L. Wander, David C. Richardson, Clayton J. Williams, Denise A. Bruesewitz, Shelley Arnott Queen's University Kingston Ontario Canada, Jennifer A. Brentrup, et al. 2022. “Nutrient Function Over Form: Organic And Inorganic Nitrogen Additions Have Similar Effects On Lake Phytoplankton Nutrient Limitation”. Limnology And Oceanography. Wiley. doi:10.1002/lno.12270.
Wet nitrogen (N) deposition to urban Latin America: Filling in the gaps with GEOS-Chem
Ponette-González, Alexandra G., Haley Lewis, Barron H. Henderson, Danilo Carnelos, Gervasio Piñeiro, Kathleen C. Weathers, and Donna B. Schwede. 2022. “Wet Nitrogen (N) Deposition To Urban Latin America: Filling In The Gaps With Geos-Chem”. Atmospheric Environment 278. Elsevier BV: 119095. doi:10.1016/j.atmosenv.2022.119095.
Dynamics of the stream–lake transitional zone affect littoral lake metabolism
Ward, Nicole K., Jennifer A. Brentrup, D.C. Richardson, Kathleen C. Weathers, Paul C. Hanson, Russell J. Hewett, and Cayelan C. Carey. 2022. “Dynamics Of The Stream–Lake Transitional Zone Affect Littoral Lake Metabolism”. Aquatic Sciences 84 (3). Springer Science and Business Media LLC. doi:10.1007/s00027-022-00854-7.
Using near-term forecasts and uncertainty partitioning to inform prediction of oligotrophic lake cyanobacterial density
Lofton, Mary E., Jennifer A. Brentrup, Whitney S. Beck, Jacob A. Zwart, Ruchi Bhattacharya, Ludmila S. Brighenti, Sarah H. Burnet, et al. (2022/03/27AD) 2022. “Using Near-Term Forecasts And Uncertainty Partitioning To Inform Prediction Of Oligotrophic Lake Cyanobacterial Density”. Ecological Applications n/a (n/a). John Wiley & Sons, Ltd. doi:10.1002/eap.2590.
Can interactive data visualizations promote waterfront best management practices?
Ward, NK, MG Sorice, MS Reynolds, Kathleen C. Weathers, WZ Weng, and Cayelan C. Carey. (JAN 2) 2022. “Can Interactive Data Visualizations Promote Waterfront Best Management Practices?”. Lake And Reservoir Management 38 (1): 95-108, . doi:10.1080/10402381.2021.2021335.