The following 48 publications cited the product Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1.
| Year | Citation |
|---|---|
| 2024 | Akinsanola, A.A., C. Jung, J. Wang, and V.R. Kotamarthi. 2024. Evaluation of precipitation across the contiguous United States, Alaska, and Puerto Rico in multi-decadal convection-permitting simulations. Scientific Reports. 14(1). https://doi.org/10.1038/s41598-024-51714-3 |
| 2024 | Argiroff, W.A., A.A. Carrell, D.M. Klingeman, N.C. Dove, W. Muchero, A.M. Veach, T. Wahl, S.J. Lebreux, A.B. Webb, K. Peyton, C.W. Schadt, and M.A. Cregger. 2024. Seasonality and longer-term development generate temporal dynamics in the Populus microbiome. mSystems. 9(3). https://doi.org/10.1128/msystems.00886-23 |
| 2024 | Baniszewski, J.A., J. Barnett, M.E. Reding, and C.M. Ranger. 2024. Seasonal dominance of exotic ambrosia beetles compared to native species within deciduous and coniferous woodlots. Biological Invasions. https://doi.org/10.1007/s10530-024-03255-z |
| 2024 | Bhasme, P. and U. Bhatia. 2024. Improving the interpretability and predictive power of hydrological models: Applications for daily streamflow in managed and unmanaged catchments. Journal of Hydrology. 628:130421. https://doi.org/10.1016/j.jhydrol.2023.130421 |
| 2024 | Billet, L.S., Y.A. Alshwairikh, L.K. Freidenburg, A. Rubinstein, S. Tracy, S. Nelson, and D.K. Skelly. 2024. Long-Term Decline of the Spotted Salamander (Ambystoma maculatum) in an Undeveloped Landscape. Herpetologica. 80(1). https://doi.org/10.1655/Herpetologica-D-23-00033 |
| 2024 | Emery, S.E., J.A. Rosenheim, R. Chaplin-Kramer, R. Sharp, and D.S. Karp. 2024. Leveraging satellite observations to reveal ecological drivers of pest densities across landscapes. Science of The Total Environment. 924:171591. https://doi.org/10.1016/j.scitotenv.2024.171591 |
| 2024 | Farmonov, N., K. Amankulova, S.N. Khan, M. Abdurakhimova, J. Szatmári, T. Khabiba, R. Makhliyo, M. Khodicha, and L. Mucsi. 2024. Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting. Hungarian Geographical Bulletin. 72(4):383-398. https://doi.org/10.15201/hungeobull.72.4.4 |
| 2024 | Gao, B., E. Coon, P. Thornton, and D. Lu. 2024. Improving the estimation of atmospheric water vapor pressure using interpretable long short-term memory networks. Agricultural and Forest Meteorology. 347:109907. https://doi.org/10.1016/j.agrformet.2024.109907 |
| 2024 | Han, Y., G. Wang, D. Xiang, S. Zhou, and L. Xiong. 2024. Biophysical control of daytime and nighttime soil respiration during growing and non-growing seasons in a temperate deciduous forest. Agricultural and Forest Meteorology. 350:109998. https://doi.org/10.1016/j.agrformet.2024.109998 |
| 2024 | Hawman, P.A., D.L. Cotten, and D.R. Mishra. 2024. Canopy Heterogeneity and Environmental Variability Drive Annual Budgets of Net Ecosystem Carbon Exchange in a Tidal Marsh. Journal of Geophysical Research: Biogeosciences. 129(4). https://doi.org/10.1029/2023JG007866 |
| 2024 | Kodama, K.M., E. Kourkchi, R.J. Longman, M.P. Lucas, S.M. Bateni, Y. Huang, A. Kagawa?Viviani, J. Mclean, S.B. Cleveland, and T.W. Giambelluca. 2024. Mapping Daily Air Temperature Over the Hawaiian Islands From 1990 to 2021 via an Optimized Piecewise Linear Regression Technique. Earth and Space Science. 11(1). https://doi.org/10.1029/2023EA002851 |
| 2024 | Lu, X., Y. Kanno, G.P. Valentine, M.A. Kulp, and M.B. Hooten. 2024. Regularized Latent Trajectory Models for Spatio-temporal Population Dynamics. Journal of Agricultural, Biological and Environmental Statistics. https://doi.org/10.1007/s13253-024-00616-y |
| 2024 | Murdoch, A., B. Connors, N. Lapointe, J. Mills Flemming, S. Cooke, and C. Mantyka-Pringle. 2024. Multiple environmental drivers across life stages influence Yukon River Chinook salmon productivity. Canadian Journal of Fisheries and Aquatic Sciences. 81(1):97-114. https://doi.org/10.1139/cjfas-2022-0254 |
| 2024 | Shrestha, R.K., I. Sevcenco, P. Casari, H. Ngo, A. Erickson, M. Lavoie, D. Hinshaw, B. Henry, and X. Ye. 2024. Estimating the impacts of nonoptimal temperatures on mortality: A study in British Columbia, Canada, 2001–2021. Environmental Epidemiology. 8(2):e303. https://doi.org/10.1097/EE9.0000000000000303 |
| 2024 | Smith, J.W. and C.C. Lamborn. 2024. The influence of population growth and weather on the value of recreational angling trips within Utah (USA). Fisheries Research. 274:106976. https://doi.org/10.1016/j.fishres.2024.106976 |
| 2024 | Vlah, M.J., M.R.V. Ross, S. Rhea, and E.S. Bernhardt. 2024. Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records. Hydrology and Earth System Sciences. 28(3):545-573. https://doi.org/10.5194/hess-28-545-2024 |
| 2024 | Wann, G., A. Seglund, P. Street, N. Parker, S. Nelson, J. Runge, C. Braun, and C. Aldridge. 2024. Estimates of Southern White-tailed Ptarmigan daily nest survival from multiple sites in the Southern Rocky Mountains of Colorado. Avian Conservation and Ecology. 19(1). https://doi.org/10.5751/ACE-02566-190104 |
| 2024 | Yoo, E., J.E. Roberts, and K. Chen. 2024. Effects of air pollution on emergency room visits for mental disorders: risks and effect modification by comorbid physical disorders and personal characteristics. Environmental Research: Health. 2(2):025001. https://doi.org/10.1088/2752-5309/ad1f3f |
| 2023 | Chang, H.H., H. Zhang, A.D. Latimore, B.P. Murray, R.R. D'Souza, N. Scovronick, M.O. Gribble, and S.T. Ebelt. 2023. Associations between short-term ambient temperature exposure and emergency department visits for amphetamine, cocaine, and opioid use in California from 2005 to 2019. Environment International. 181:108233. https://doi.org/10.1016/j.envint.2023.108233 |
| 2023 | Chen, G. and C. Li. 2023. The changing dynamics of population exposure to extreme heat in the contiguous United States from 2001 to 2020. Environment and Planning B: Urban Analytics and City Science. 50(7):1998-2001. https://doi.org/10.1177/23998083231189594 |
| 2023 | Chen, J. and Z. Zhang. 2023. An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing. International Journal of Applied Earth Observation and Geoinformation. 124:103533. https://doi.org/10.1016/j.jag.2023.103533 |
| 2023 | Coughlan de Perez, E., H. Ganapathi, G.I.T. Masukwedza, T. Griffin, and T. Kelder. 2023. Potential for surprising heat and drought events in wheat-producing regions of USA and China. npj Climate and Atmospheric Science. 6(1). https://doi.org/10.1038/s41612-023-00361-y |
| 2023 | Culler, E.S., B. Livneh, B. Rajagopalan, and K.F. Tiampo. 2023. A data-driven evaluation of post-fire landslide susceptibility. Natural Hazards and Earth System Sciences. 23(4):1631-1652. https://doi.org/10.5194/nhess-23-1631-2023 |
| 2023 | del Río, M.S., L. Raventós, and V. Garza. 2023. Zoning of the Querétaro wine region. BIO Web of Conferences. 68:01029. https://doi.org/10.1051/bioconf/20236801029 |
| 2023 | Gallagher, B.K. and D.J. Fraser. 2023. Stream groundwater inputs generate fine?scale variation in brook trout phenology and growth across a warming landscape. Freshwater Biology. 69(1):127-142. https://doi.org/10.1111/fwb.14198 |
| 2023 | Goddard, E., C. Lin, Y. Ma, and K. Chen. 2023. The mortality burden of extreme heat in Connecticut: A time series analysis. PLOS Climate. 2(5):e0000164. https://doi.org/10.1371/journal.pclm.0000164 |
| 2023 | González-Ortigoza, S., A. Hernández-Espriú, and S. Arciniega-Esparza. 2023. Modelado regional de la recarga de agua subterránea en la Cuenca de México: nuevos conocimientos a partir de observaciones satelitales y datos globales, Modélisation régionale de la recharge des eaux souterraines dans le bassin du Mexique: nouvelles perspectives à partir d’observations par satellite et de sources de données à l’échelle du globe, Modelagem regional da recarga de água subterrânea na Bacia do México: novas percepções a partir de observações de satélite e fontes de dados globais, Regional modeling of groundwater recharge in the Basin of Mexico: new insights from satellite observations and global data sources, ????????????????: ???????????????. Hydrogeology Journal. https://doi.org/10.1007/s10040-023-02667-w |
| 2023 | Keramitsoglou, I., P. Sismanidis, O. Sykioti, V. Pisinaras, I. Tsakmakis, A. Panagopoulos, A. Argyriou, and C.T. Kiranoudis. 2023. SENSE-GDD: A Satellite-Derived Temperature Monitoring Service to Provide Growing Degree Days. Agriculture. 13(5):1108. https://doi.org/10.3390/agriculture13051108 |
| 2023 | Lacasa, J., C.D. Messina, and I.A. Ciampitti. 2023. A probabilistic framework for forecasting maize yield response to agricultural inputs with sub-seasonal climate predictions. Environmental Research Letters. 18(7):074042. https://doi.org/10.1088/1748-9326/acd8d1 |
| 2023 | Lin, C., Y.E. Yang, and A. Kumar Chaudhary. 2023. Pay-for-practice or Pay-for-performance? A coupled agent-based evaluation tool for assessing sediment management incentive policies. Journal of Hydrology. 624:129959. https://doi.org/10.1016/j.jhydrol.2023.129959 |
| 2023 | Liu, C.S., Y. Wei, M. Danesh Yazdi, X. Qiu, E. Castro, Q. Zhu, L. Li, P. Koutrakis, C.C. Ekenga, L. Shi, and J.D. Schwartz. 2023. Long-term association of air pollution and incidence of lung cancer among older Americans: A national study in the Medicare cohort. Environment International. 181:108266. https://doi.org/10.1016/j.envint.2023.108266 |
| 2023 | Martin, N. 2023. Incorporating Weather Attribution to Future Water Budget Projections. Hydrology. 10(12):219. https://doi.org/10.3390/hydrology10120219 |
| 2023 | Martinson, E., H.H. Chang, R.R. D’Souza, S. Ebelt, and N. Scovronick. 2023. Association between outdoor temperature and fatal police shootings in the United States, 2015–2021. Environmental Epidemiology. 7(6):e267. https://doi.org/10.1097/EE9.0000000000000267 |
| 2023 | Nunes, J.J., N.J. Arneson, R.P. DeWerff, M. Ruark, S. Conley, D. Smith, and R. Werle. 2023. Planting into a living cover crop alters preemergence herbicide dynamics and can reduce soybean yield. Weed Technology. 37(3):226-235. https://doi.org/10.1017/wet.2023.41 |
| 2023 | Petrie, M., R. Hubbard, J. Bradford, T. Kolb, A. Noel, D. Schlaepfer, M. Bowen, L. Fuller, and W. Moser. 2023. Widespread regeneration failure in ponderosa pine forests of the southwestern United States. Forest Ecology and Management. 545:121208. https://doi.org/10.1016/j.foreco.2023.121208 |
| 2023 | Rahmani, F., A. Appling, D. Feng, K. Lawson, and C. Shen. 2023. Identifying Structural Priors in a Hybrid Differentiable Model for Stream Water Temperature Modeling. Water Resources Research. 59(12). https://doi.org/10.1029/2023WR034420 |
| 2023 | Rastogi, D., J. Christian, J. Tuccillo, B. Christian, A.J. Kapadia, and H.A. Hanson. 2023. Exploring the Spatial Patterning of Sociodemographic Disparities in Extreme Heat Exposure at Multiple Scales Across the Conterminous United States. GeoHealth. 7(10). https://doi.org/10.1029/2023GH000864 |
| 2023 | Roth, S.A., K.L. Griffis-Kyle, and M.A. Barnes. 2023. Batrachochytrium dendrobatidis in the Arid and Thermally Extreme Sonoran Desert. EcoHealth. 20(4):370-380. https://doi.org/10.1007/s10393-023-01668-1 |
| 2023 | Saraf, S., R. John, R. Goljani Amirkhiz, V. Kolluru, K. Jain, M. Rigge, V. Giannico, S. Boyte, J. Chen, G. Henebry, M. Jarchow, and R. Lafortezza. 2023. Biophysical drivers for predicting the distribution and abundance of invasive yellow sweetclover in the Northern Great Plains. Landscape Ecology. https://doi.org/10.1007/s10980-023-01613-1 |
| 2023 | Sarzaeim, P., F. Muñoz-Arriola, D. Jarquin, H. Aslam, and N. De Leon Gatti. 2023. CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada. Earth System Science Data. 15(9):3963-3990. https://doi.org/10.5194/essd-15-3963-2023 |
| 2023 | Savoy, P. and J.W. Harvey. 2023. Predicting Daily River Chlorophyll Concentrations at a Continental Scale. Water Resources Research. 59(11). https://doi.org/10.1029/2022WR034215 |
| 2023 | Schumacher, B.L., E.K. Burchfield, B. Bean, and M.A. Yost. 2023. Leveraging Important Covariate Groups for Corn Yield Prediction. Agriculture. 13(3):618. https://doi.org/10.3390/agriculture13030618 |
| 2023 | Tanaka, T., Y. Yokoyama, T. Mieno, and A. de Wit. 2023. 27. Synthetic data generation for validating site-specific crop yield response modelling using WOFOST and gaussian geostatistical simulations. Precision agriculture ’23. https://doi.org/10.3920/978-90-8686-947-3_27 |
| 2023 | Tran, V.N., V.Y. Ivanov, and J. Kim. 2023. Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes. Advances in Water Resources. 182:104569. https://doi.org/10.1016/j.advwatres.2023.104569 |
| 2023 | Wu, X., E. Sverdrup, M.D. Mastrandrea, M.W. Wara, and S. Wager. 2023. Low-intensity fires mitigate the risk of high-intensity wildfires in California’s forests. Science Advances. 9(45). https://doi.org/10.1126/sciadv.adi4123 |
| 2023 | Zuo, H., G. Yan, R. Lu, R. Li, S. Xiao, and Y. Pang. 2023. A Multi-Task Learning Based Runoff Forecasting Model for Multi-Scale Chaotic Hydrological Time Series. Water Resources Management. 38(2):481-503. https://doi.org/10.1007/s11269-023-03681-z |
| 2022 | Manware, M., R. Dubrow, D. Carrión, Y. Ma, and K. Chen. 2022. Residential and Race/Ethnicity Disparities in Heat Vulnerability in the United States. GeoHealth. 6(12). https://doi.org/10.1029/2022GH000695 |
| 2022 | Zhang, H., L. Shi, S.T. Ebelt, R.R. D’Souza, J.D. Schwartz, N. Scovronick, and H.H. Chang. 2022. Short-term associations between ambient air pollution and emergency department visits for Alzheimer’s disease and related dementias. Environmental Epidemiology. 7(1):e237. https://doi.org/10.1097/EE9.0000000000000237 |