The following 23 publications cited the product Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, R1.
| Year | Citation |
|---|---|
| 2023 | Basu, B., R. Das Bhowmik, and A. Sankarasubramanian. 2023. Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis. Journal of Hydrologic Engineering. 28(4). https://doi.org/10.1061/JHYEFF.HEENG-5768 |
| 2023 | Chalise, D.R., A. Sankarasubramanian, J.D. Olden, and A. Ruhi. 2023. Spectral Signatures of Flow Regime Alteration by Dams Across the United States. Earth's Future. 11(2). https://doi.org/10.1029/2022EF003078 |
| 2022 | Hwang, J. and N. Devineni. 2022. An Improved Zhang's Dynamic Water Balance Model Using Budyko-Based Snow Representation for Better Streamflow Predictions. Water Resources Research. 58(1): https://doi.org/10.1029/2021WR030203 |
| 2020 | Calabrese, S., D. Barcellos, A. Thompson, and A. Porporato. 2020. Theoretical Constraints on Fe Reduction Rates in Upland Soils as a Function of Hydroclimatic Conditions. Journal of Geophysical Research: Biogeosciences. 125(12). https://doi.org/10.1029/2020JG005894 |
| 2019 | Mazrooei, A. and A. Sankarasubramanian. 2019. Improving monthly streamflow forecasts through assimilation of observed streamflow for rainfall-dominated basins across the CONUS. Journal of Hydrology. 575:704-715. https://doi.org/10.1016/j.jhydrol.2019.05.071 |
| 2018 | Libera, D.A. and A. Sankarasubramanian. 2018. Multivariate bias corrections of mechanistic water quality model predictions. Journal of Hydrology. 564:529-541. https://doi.org/10.1016/j.jhydrol.2018.07.043 |
| 2018 | Libera, D.A., A. Sankarasubramanian, A. Sharma, and B.J. Reich. 2018. A non-parametric bootstrapping framework embedded in a toolkit for assessing water quality model performance. Environmental Modelling & Software. 107:25-33. https://doi.org/10.1016/j.envsoft.2018.05.013 |
| 2018 | Petersen, T., N. Devineni, and A. Sankarasubramanian. 2018. Monthly hydroclimatology of the continental United States. Advances in Water Resources. 114:180-195. https://doi.org/10.1016/j.advwatres.2018.02.010 |
| 2017 | Kominoski, J.S., A. Ruhi, M.M. Hagler, K. Petersen, J.L. Sabo, T. Sinha, A. Sankarasubramanian, and J.D. Olden. 2017. Patterns and drivers of fish extirpations in rivers of the American Southwest and Southeast. Global Change Biology. 24(3):1175-1185. https://doi.org/10.1111/gcb.13940 |
| 2016 | Moore, J.N. 2016. Recent desiccation of Western Great Basin Saline Lakes: Lessons from Lake Abert, Oregon, U.S.A. Science of The Total Environment. 554-555:142-154. https://doi.org/10.1016/j.scitotenv.2016.02.161 |
| 2015 | Wang, H., A. Sankarasubramanian, and R.S. Ranjithan. 2015. Understanding the low-frequency variability in hydroclimatic attributes over the southeastern US. Journal of Hydrology. 521:170-181. https://doi.org/10.1016/j.jhydrol.2014.09.081 |
| 2014 | Singh, H. and A. Sankarasubramanian. 2014. Systematic uncertainty reduction strategies for developing streamflow forecasts utilizing multiple climate models and hydrologic models. Water Resources Research. 50(2):1288-1307. https://doi.org/10.1002/2013WR013855 |
| 2014 | Wang, H., R. Killick, and X. Fu. 2014. Distributional change of monthly precipitation due to climate change: comprehensive examination of dataset in southeastern United States. Hydrological Processes. 28(20):5212-5219. https://doi.org/10.1002/hyp.9999 |
| 2012 | Dawadi, S. and S. Ahmad. 2012. Changing climatic conditions in the Colorado River Basin: Implications for water resources management. Journal of Hydrology. 430-431:127-141. https://doi.org/10.1016/j.jhydrol.2012.02.010 |
| 2012 | Li, W. and A. Sankarasubramanian. 2012. Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination. Water Resources Research. 48(12): https://doi.org/10.1029/2011WR011380 |
| 2012 | Matthew S. Mayernik, Michael D. Daniels, Bob Dattore, Ethan Davis, Kathryn M. Ginger, Karon M. Kelly, Mary R. Marlino, Don Middleton, Jennifer Phillips, Gary Strand, Steven F. Williams, Steven Worely, Michael J. Wright (2012) Data Citations within NCAR/UCP.. National Center for Atmospheric Research Library https://doi.org/10.1029/2011WR011380 |
| 2012 | Mims, M.C. and J.D. Olden. 2012. Life history theory predicts fish assemblage response to hydrologic regimes. Ecology. 93(1):35-45. https://doi.org/10.1890/11-0370.1 |
| 2012 | Petersen, T., N. Devineni, and A. Sankarasubramanian. 2012. Seasonality of monthly runoff over the continental United States: Causality and relations to mean annual and mean monthly distributions of moisture and energy. Journal of Hydrology. 468-469:139-150. https://doi.org/10.1016/j.jhydrol.2012.08.028 |
| 2011 | Martinez, G.F. and H.V. Gupta. 2011. Hydrologic consistency as a basis for assessing complexity of monthly water balance models for the continental United States. Water Resources Research. 47(12): https://doi.org/10.1029/2011WR011229 |
| 2011 | Patil, S. and M. Stieglitz. 2011. Hydrologic similarity among catchments under variable flow conditions. Hydrology and Earth System Sciences. 15(3):989-997. https://doi.org/10.5194/hess-15-989-2011 |
| 2010 | Devineni, N., Civil Engineering, (2010). Seasonal Hydroclimatology of the Continental United States: Forecasting and its Relevance to Water Management. Doctor of Philosophy |
| 2010 | Gonzalez-Benecke, CA., Martin, TA., Clark, A., Peter, GF., Canadian Journal of Forest Research, (2010). Water availability and genetic effects on wood properties of loblolly pine (Pinus taeda). 40 (12),2265-2277. ISBN: 0045-5067. |
| 2009 | Wang, T., E. Istanbulluoglu, J. Lenters, and D. Scott. 2009. On the role of groundwater and soil texture in the regional water balance: An investigation of the Nebraska Sand Hills, USA. Water Resources Research. 45(10): https://doi.org/10.1029/2009WR007733 |