Personal profile
Education/Academic qualification
Electrical Engineering, BS, Marquette University
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Dive into the research topics where John Truesdale is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Assessing the Atmospheric Response to Subgrid Surface Heterogeneity in the Single-Column Community Earth System Model, Version 2 (CESM2)
Fowler, M. D., Neale, R. B., Waterman, T., Lawrence, D. M., Dirmeyer, P. A., Larson, V. E., Huang, M., Simon, J. S., Truesdale, J. & Chaney, N. W., Mar 2024, In: Journal of Advances in Modeling Earth Systems. 16, 3, e2022MS003517.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Advancing precipitation prediction using a new-generation storm-resolving model framework - SIMA-MPAS (V1.0): a case study over the western United States
Huang, X., Gettelman, A., Skamarock, W. C., Lauritzen, P. H., Curry, M., Herrington, A., Truesdale, J. T. & Duda, M., Nov 11 2022, In: Geoscientific Model Development. 15, 21, p. 8135-8151 17 p.Research output: Contribution to journal › Article › peer-review
Open Access17 Scopus citations -
Improvements in Wintertime Surface Temperature Variability in the Community Earth System Model Version 2 (CESM2) Related to the Representation of Snow Density
Simpson, I. R., Lawrence, D. M., Swenson, S. C., Hannay, C., McKinnon, K. A. & Truesdale, J. E., Apr 2022, In: Journal of Advances in Modeling Earth Systems. 14, 4, e2021MS002880.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations -
Machine Learning-Based Detection of Weather Fronts and Associated Extreme Precipitation in Historical and Future Climates
Dagon, K., Truesdale, J., Biard, J. C., Kunkel, K. E., Meehl, G. A. & Molina, M. J., Nov 16 2022, In: Journal of Geophysical Research: Atmospheres. 127, 21, e2022JD037038.Research output: Contribution to journal › Article › peer-review
Open Access20 Scopus citations -
CAM6.3 User's Guide
Craig, C. A., Bacmeister, J., Callaghan, P., Eaton, B. E., Gettelman, A., Goldhaber, S., Hannay, C. E., Herrington, A. R., Lauritzen, P. H., McInerney, J., Medeiros, B., Mills, M. J., Neale, R., Tilmes, S., Truesdale, J. E., Vertenstein, M. & Vitt, F. M., 2021, NSF NCAR - National Center for Atmospheric Research. (NCAR Technical Notes)Research output: Book or Report › Technical report › peer-review
Open Access
Datasets
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Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3
Dagon, K. (Creator), Truesdale, J. (Creator), Rosenbloom, N. (Creator) & Bates, S. (Creator), NSF NCAR - National Center for Atmospheric Research, 2022
DOI: 10.5065/q6t7-ta06
Dataset
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Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3
Truesdale, J. (Creator) & Rosenbloom, N. (Creator), NSF NCAR - National Center for Atmospheric Research, Apr 6 2022
DOI: 10.5065/q6t7-ta06
Dataset