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Publications Citing Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 3

The following 19 publications cited the product Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 3.

Year Citation
2023 Collar, N.M., B.A. Ebel, S. Saxe, A.J. Rust, and T.S. Hogue. 2023. Implications of fire-induced evapotranspiration shifts for recharge-runoff generation and vegetation conversion in the western United States. Journal of Hydrology. 621:129646. https://doi.org/10.1016/j.jhydrol.2023.129646
2022 Barker, J.R., and H.J. MacIsaac. 2022. Species distribution models: Administrative boundary centroid occurrences require careful interpretation. Ecological Modelling. 472:110107. https://doi.org/10.1016/j.ecolmodel.2022.110107
2022 Collar, N.M., S. Saxe, B.A. Ebel, K.S. Boden, A.J. Rust, and T.S. Hogue. 2022. Linking fire-induced evapotranspiration shifts to streamflow magnitude and timing in the western United States. Journal of Hydrology. 612:128242. https://doi.org/10.1016/j.jhydrol.2022.128242
2022 Dobre, M., A. Srivastava, R. Lew, C. Deval, E.S. Brooks, W.J. Elliot, and P.R. Robichaud. 2022. WEPPcloud: An online watershed-scale hydrologic modeling tool. Part II. Model performance assessment and applications to forest management and wildfires. Journal of Hydrology. 610:127776. https://doi.org/10.1016/j.jhydrol.2022.127776
2022 Dobre, M., J.W. Long, C. Maxwell, W.J. Elliot, R. Lew, E.S. Brooks, and R.M. Scheller. 2022. Water quality and forest restoration in the Lake Tahoe basin: impacts of future management options. Ecology and Society. 27(2). https://doi.org/10.5751/ES-13133-270206
2022 Munro, H.L., C.R. Montes, and K.J. Gandhi. 2022. A new approach to evaluate the risk of bark beetle outbreaks using multi-step machine learning methods. Forest Ecology and Management. 520:120347. https://doi.org/10.1016/j.foreco.2022.120347
2022 Schneider, K.E. and T.S. Hogue. 2022. Calibration of a hydrologic model in data-scarce Alaska using satellite and other gridded products. Journal of Hydrology: Regional Studies. 39:100979. https://doi.org/10.1016/j.ejrh.2021.100979
2021 Guo, H., J.J. Huang, X. Zhu, B. Wang, S. Tian, W. Xu, and Y. Mai. 2021. A generalized machine learning approach for dissolved oxygen estimation at multiple spatiotemporal scales using remote sensing. Environmental Pollution. 288:117734. https://doi.org/10.1016/j.envpol.2021.117734
2021 He, Y., R. Xu, S.A. Prior, D. Yang, A. Yang, and J. Chen. 2021. Satellite-detected ammonia changes in the United States: Natural or anthropogenic impacts. Science of The Total Environment. 789:147899. https://doi.org/10.1016/j.scitotenv.2021.147899
2021 Ma, L., G. Hurtt, H. Tang, R. Lamb, E. Campbell, R. Dubayah, M. Guy, W. Huang, A. Lister, J. Lu, J. O'Neil-Dunne, A. Rudee, Q. Shen, and C. Silva. 2021. High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. 16(4):045014. https://doi.org/10.1088/1748-9326/abe4f4
2021 Wang, J.A., A. Baccini, M. Farina, J.T. Randerson, and M.A. Friedl. 2021. Disturbance suppresses the aboveground carbon sink in North American boreal forests. Nature Climate Change. 11(5):435-441. https://doi.org/10.1038/s41558-021-01027-4
2021 Wheeler, B.E., A.J. Andrade, E.R. Pansing, and D.F. Tomback. 2021. Post-fire conifer regeneration hinders digital estimation of understorey plant cover in subalpine forest vegetation. Applied Vegetation Science. 24(3): https://doi.org/10.1111/avsc.12609
2021 Zimmer, S.N., E.W. Schupp, J.L. Boettinger, M.C. Reeves, and E.T. Thacker. 2021. Considering Spatiotemporal Forage Variability in Rangeland Inventory and Monitoring. Rangeland Ecology & Management. 79:53-63. https://doi.org/10.1016/j.rama.2021.07.008
2020 Andruko, R., R. Danby, and P. Grogan. 2020. Recent Growth and Expansion of Birch Shrubs Across a Low Arctic Landscape in Continental Canada: Are These Responses More a Consequence of the Severely Declining Caribou Herd than of Climate Warming?. Ecosystems. https://doi.org/10.1007/s10021-019-00474-7
2020 LaMontagne, J.M., I.S. Pearse, D.F. Greene, and W.D. Koenig. 2020. Mast seeding patterns are asynchronous at a continental scale. Nature Plants. 6(5):460-465. https://doi.org/10.1038/s41477-020-0647-x
2020 Llamas, R.M., M. Guevara, D. Rorabaugh, M. Taufer, and R. Vargas. 2020. Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression. Remote Sensing. 12(4):665. https://doi.org/10.3390/rs12040665
2019 Dong, C., G. MacDonald, G.S. Okin, and T.W. Gillespie. 2019. Quantifying Drought Sensitivity of Mediterranean Climate Vegetation to Recent Warming: A Case Study in Southern California. Remote Sensing. 11(24):2902. https://doi.org/10.3390/rs11242902
2017 Xiao, M., A. Koppa, Z. Mekonnen, B.R. Pagan, S. Zhan, Q. Cao, A. Aierken, H. Lee, and D.P. Lettenmaier. 2017. How much groundwater did California's Central Valley lose during the 2012-2016 drought?. Geophysical Research Letters. 44(10):4872-4879. https://doi.org/10.1002/2017GL073333
2016 Tillman, F.D., S.M. Wiele, and D.R. Pool. 2016. A comparison of estimates of basin-scale soil-moisture evapotranspiration and estimates of riparian groundwater evapotranspiration with implications for water budgets in the Verde Valley, Central Arizona, USA. Journal of Arid Environments. 124:278-291. https://doi.org/10.1016/j.jaridenv.2015.09.005