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Whitney M. Woelmer

Virginia Tech

Blacksburg, VA

United States

SCHOLARLY PAPERS

4

DOWNLOADS

322

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Predicting Spring Phenology in Deciduous Broadleaf Forests: An Open Community Forecast Challenge

Number of pages: 67 Posted: 13 Feb 2023
Kathryn Wheeler, Michael Dietze, David LeBauer, Jody Peters, Andrew D. Richardson, R. Quinn Thomas, Kai Zhu, Uttam Bhat, Stephan Munch, Raphaela Floreani Buzbee, Min Chen, Benjamin Goldstein, Jessica S. Guo, Dalei Hao, Chris Jones, Mira Kelly-Fair, Haoran Liu, Charlotte Malmborg, Naresh Neupane, Debasmita Pal, Arun Ross, Vaughn Shirey, Yiluan Song, McKalee Steen, Eric A. Vance, Whitney M. Woelmer, Jacob Wynne and Luke Zachmann
Boston University, Boston University, University of Arizona, University of Notre Dame, Northern Arizona University, Virginia Tech, University of Michigan at Ann Arbor, affiliation not provided to SSRN, affiliation not provided to SSRN, University of California, Berkeley, University of Wisconsin-Madison, affiliation not provided to SSRN, University of Arizona, Government of the United States of America - Pacific Northwest National Laboratory, North Carolina State University, Boston University, University of Wisconsin-Madison, Boston University, Georgetown University, Michigan State University, Michigan State University, Georgetown University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Colorado at Boulder, Virginia Tech, Virginia Tech and affiliation not provided to SSRN
Downloads 157 (474,889)

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Phenology, Ecological Forecasting, deciduous broadleaf, Budburst, community challenge, Forest

2.

Predicting Spring Phenology in Deciduous Broadleaf Forests: Neon Phenology Forecasting Community Challenge

Number of pages: 71 Posted: 16 Aug 2023 Last Revised: 30 Dec 2023
Kathryn Wheeler, Michael Dietze, David LeBauer, Jody Peters, Andrew D. Richardson, Arun Ross, R. Quinn Thomas, Kai Zhu, Uttam Bhat, Stephan Munch, Raphaela Floreani Buzbee, Min Chen, Benjamin Goldstein, Jessica S. Guo, Dalei Hao, Chris Jones, Mira Kelly-Fair, Haoran Liu, Charlotte Malmborg, Naresh Neupane, Debasmita Pal, Vaughn Shirey, Yiluan Song, McKalee Steen, Eric A. Vance, Whitney M. Woelmer, Jacob Wynne and Luke Zachmann
Boston University, Boston University, University of Arizona, University of Notre Dame, Northern Arizona University, Michigan State University, Virginia Tech, University of Michigan at Ann Arbor, affiliation not provided to SSRN, affiliation not provided to SSRN, University of California, Berkeley, University of Wisconsin-Madison, affiliation not provided to SSRN, University of Arizona, Government of the United States of America - Pacific Northwest National Laboratory, North Carolina State University, Boston University, University of Wisconsin-Madison, Boston University, Georgetown University, Michigan State University, Georgetown University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Colorado at Boulder, Virginia Tech, Virginia Tech and affiliation not provided to SSRN
Downloads 67 (899,324)

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phenology, ecological forecasting, deciduous broadleaf, budburst, community challenge, forests

3.

Process-Based Forecasts of Lake Water Temperature and Dissolved Oxygen Outperform Null Models, with Variability Over Time and Depth

Number of pages: 54 Posted: 19 Jan 2024
Whitney M. Woelmer, R. Quinn Thomas, Freya Olsson, Bethel G. Steele, Kathleen C. Weathers and Cayelan C. Carey
Virginia Tech, Virginia Tech, affiliation not provided to SSRN, Cary Institute of Ecosystem Studies, Cary Institute of Ecosystem Studies and affiliation not provided to SSRN
Downloads 60 (961,006)

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baseline model, climatology, ecological forecasting, forecast skill, persistence, water quality

4.

Moving Window Analysis Reveals Non-Stationary Relationships between Environmental Drivers and Lake Trophic State

Number of pages: 32 Posted: 01 Jul 2025
Whitney M. Woelmer, Rose Gregersen and Deniz Özkundakci
Virginia Tech, University of Waikato and University of Waikato
Downloads 38 (1,209,354)

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water quality, autoregressive modelling, long-term datasets, lake monitoring, time series analysis