Helgason, H., and B. Nijssen, 2024: LamaH-Ice: LArge-SaMple Data for Hydrology and Environmental Sciences for Iceland. Earth System Science Data, accepted.


Currier, W., A. Wood, N. Mizukami, B. Nijssen, J. Hamman, and E. Gutmann, 2023: Vegetation representation influences projected streamflow changes in the Colorado River Basin. Journal of Hydrometeorology, doi:10.1175/JHM-D-22-0143.1.

Maghami, I., A. Van Beusekom, L. Hay, Z. Li, A. Bennett, Y. Choi, B. Nijssen, S. Wang, D. Tarboton, J. Goodall, 2023: Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies. Environmental Modelling & Software, doi:10.1016/j.envsoft.2023.105689.

Eyþórsson, D., S. Garðarsson, and B. Nijssen, 2023: Projected changes to northern hemisphere snow conditions over the period 1950-2100, given two emission scenarios. Remote Sensing Applications: Society and Environment, doi:10.1016/j.rsase.2023.100954.

Knoben, W. J. M., M. P. Clark, J. Bales, A. Bennett, S. Gharari, C. B. Marsh, B. Nijssen, A. Pietroniro, R. J. Spiteri, G. Tang, D. G. Tarboton, A. W. Wood, 2022: Community workflows to advance reproducibility in hydrologic modeling: Separating model-agnostic and model-specific configuration steps in applications of large-domain hydrologic models. Water Resources Research, doi:10.1029/2021WR031753.

Harrell, J., B. Nijssen, and C. Frans, 2022: Where and when does streamflow regulation significantly affect climate change outcomes in the Columbia River basin?. Water Resources Research, doi:10.1029/2022WR031950.

Cristea, N., A. Bennett, B. Nijssen, and J. Lundquist, 2022: Models with multiple snow layers are essential to improve snow predictions in current and future climates. Water Resources Research, doi:10.1029/2020WR028993.

Mizukami, N., A. Newman, J. Littell, T. Giambelluca, A. Wood, E. Gutmann, J. Hamman, D. Gergel, B. Nijssen, M. Clark, and J. Arnold, 2022: New projections of 21st century climate and hydrology for Alaska and Hawaiʻi. Climate Services, doi:10.1016/j.cliser.2022.100312.

Caceres, A., P. Jaramillo, H. Matthews, C. Samaras, and B. Nijssen, 2022: Potential hydropower contribution to mitigate climate risk and build resilience in Africa. Nature Climate Change, doi:10.1038/s41558-022-01413-6.

Lumbrazo, C., A. Bennett, W. Currier, B. Nijssen, and J. Lundquist, 2022: Evaluating multiple canopy-snow unloading parameterizations in SUMMA with time-lapse photography characterized by citizen scientists. Water Resources Research, doi:10.1029/2021WR030852.

Bennett, A., A. Stein, Y. Cheng, B. Nijssen, and M. McGuire, 2022: A process-conditioned and spatially consistent method for reducing systematic biases in modeled streamflow. Journal of Hydrometeorology, doi:10.1175/JHM-D-21-0174.1.

Cheng, Y., B. Nijssen, G. Holtgrieve, and J. Olden, 2022: Modeling the freshwater ecological response to changes in flow and thermal regimes influenced by reservoir dynamics. Journal of Hydrology, doi:10.1016/j.jhydrol.2022.127591.

Van Beusekom, A., L.E. Hay, A.R. Bennett, Y.-D. Choi, M.P. Clark, J.L. Goodall, Z. Li, I. Maghami, B. Nijssen, and A.W. Wood, 2022: Hydrologic model sensitivity to temporal disaggregation of meteorological forcing data: A case study for the contiguous USA. Journal of Hydrometeorology, doi:10.1175/JHM-D-21-0111.1.

Fonseca, F.R., M. Craig, P. Jaramillo, M. Bergés, E. Severnini, A. Loew, H. Zhai, Y. Cheng, B. Nijssen, N. Voisin, and J. Yearsley, 2021: Climate-induced tradeoffs in planning and operating costs of a regional electricity system. Environmental Science & Technology, doi:10.1021/acs.est.1c01334.

Bennett, A., and B. Nijssen, 2021: Deep learned process parameterizations provide better representations of turbulent heat fluxes in hydrologic models. Water Resources Research, doi:10.1029/2020WR029328.

Clark, M., R. Zolfaghari, K. Green, S. Trim, W. Knoben, A. Bennett, B. Nijssen, A. Ireson, and R. Spiteri, 2021: The numerical implementation of land models: Problem formulation and laugh tests. Journal of Hydrometeorology, doi:10.1175/JHM-D-20-0175.1.

Rupp, D., O. Chegwidden, B. Nijssen, and M. Clark, 2021: Changing river network synchrony modulates projected increases in high flows. Water Resources Research, doi:10.1029/2020WR028713.

Caceres, A.C., P. Jaramillo, H. S. Matthews, C. Samaras, and B. Nijssen, 2021: Hydropower under climate uncertainty: characterizing the available capacity of Brazilian, Colombian and Peruvian power plants under climate scenarios. Energy for Sustainable Development, doi:10.1016/j.esd.2021.02.006.

van Vliet, M., E. Jones, M. Flörke, W. Franssen, N. Hanasaki, Y. Wada, J. Yearsley, 2021: Global water scarcity including surface water quality and expansions of clean water technologies. Environmental Research Letters, doi:10.1088/1748-9326/abbfc3.

Fonseca, F.R., M. Craig, P. Jaramillo, M. Bergés, E. Severnini, A. Loew, H. Zhai, Y. Cheng, B. Nijssen, N. Voisin, and J. Yearsley, 2021: Effects of climate change on capacity expansion decisions of an electricity generation fleet in the Southeast U.S.. Environmental Science & Technology, doi:10.1021/acs.est.0c06547.

Queen, L., P. Mote, D. Rupp, O. Chegwidden, and B. Nijssen, 2021: Ubiquitous but variable increases in projected flood magnitude in the Columbia River Basin. Hydrology and Earth System Sciences, doi:10.5194/hess-25-257-2021.

Droppers, B., W. Franssen, M. van Vliet, B. Nijssen, and F. Ludwig, 2020: Simulating human impacts on global water resources using VIC-5. Geoscientific Model Development, doi:10.5194/gmd-13-5029-2020.

Choi, Y.-D., J. L. Goodall, J. M. Sadler, A. M. Castronova, A. Bennett, Z. Li, B. Nijssen, S. Wang, M. P. Clark, D. P. Ames, J. S. Horsburgh, H. Yi, C. Bandaragoda, M. Seul, R. Hooper and D. G. Tarboton, 2020: Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model application programming interfaces". Environmental Modelling and Software, doi:10.1016/j.envsoft.2020.104888.

Renner, M., A. Kleidon, M. Clark, B. Nijssen, M. Heidkamp, M. Best, and G. Abramowitz, 2020: How well can land-surface models represent the diurnal cycle of turbulent heat fluxes?. Journal of Hydrometeorology, doi:10.1175/JHM-D-20-0034.1.

Loew, A., P. Jaramillo, H. Zhai, R. Ali, B. Nijssen, Y. Cheng, and K. Klima, 2020: Fossil fuel-fired power plant operations under a changing climate. Climatic Change, doi:10.1007/s10584-020-02834-y.

Chegwidden, O., D. Rupp, and B. Nijssen, 2020: Climate change alters flood magnitudes and mechanisms in climatically-diverse headwaters across the northwestern United States. Environmental Research Letters, doi:10.1088/1748-9326/ab986f.

Cheng, Y., N. Voisin, J. Yearsley, and B. Nijssen, 2020: Reservoirs modify river thermal regime sensitivity to climate change: a case study in the southeastern United States. Water Resources Research, doi:10.1029/2019WR025784.

Cheng, Y., N. Voisin, J. Yearsley, and B. Nijssen, 2020: Thermal extremes in regulated river systems under climate change: an application to southeastern U.S. rivers. Environmental Research Letters, doi:10.1088/1748-9326/ab8f5f.

Daley, K., S. Ahmad, C. Beveridge, F. Hossain, B. Nijssen, and G. Holtgrieve, 2020: Recent warming of the Tonle Sap Lake, Cambodia: Implications for one of the world’s most productive inland fisheries. Lakes & Reservoirs: Science, Policy and Management for Sustainable Use, doi:10.1111/lre.12317.

Bennett, A., J. Hamman, and B. Nijssen, 2020: MetSim: A Python package for estimation and disaggregation of meteorological data. Journal of Open Source Software, doi:10.21105/joss.02042.

Bonnema, M., F. Hossain, B. Nijssen, and G. Holtgrieve, 2020: Hydropower’s hidden transformation of rivers in the Mekong. Environmental Research Letters, doi:10.1088/1748-9326/ab763d.

Mao, Y., W. Crow, and B. Nijssen, 2020: A unified data-driven method to derive hydrologic dynamics from global SMAP surface soil moisture and GPM precipitation data. Water Resources Research, doi:10.1029/2019WR024949.

Mao, Y., W. Crow, and B. Nijssen, 2020: Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: Evaluation of a large-scale implementation with SMAP satellite data. Hydrology and Earth System Sciences, doi:10.5194/hess-24-615-2020.

Craig, M.T., P. Jaramillo, B.-M. Hodge, B. Nijssen, and C. Branucci, 2020: Compounding climate change impacts during high stress periods for a high wind and solar power system in Texas. Environmental Research Letters, doi:10.1088/1748-9326/ab6615.

Yearsley, J., N. Sun, M. Baptiste, and B. Nijssen, 2019: Assessing the impacts of hydrologic and land use alterations on water temperature in the Farmington river basin in Connecticut. Hydrology and Earth System Sciences, doi:10.5194/hess-23-4491-2019.

Pflug, J., G. Liston, B. Nijssen, and J. Lundquist, 2019: Testing model representations of snowpack liquid water percolation across multiple climates. Water Resources Research, doi:10.1029/2018WR024632.

Chegwidden, O., B. Nijssen, D. Rupp, J.Arnold, M. Clark, J. Hamman, S.-C. Kao, Y. Mao, P. Mote, M. Pan, E. Pytlak, and M. Xiao, 2019: How do modeling decisions affect the spread among hydrologic climate change projections?. Earth's Future, doi:10.1029/2018EF001047.

Bennett, A., B. Nijssen, G. Ou, M. Clark, and G. Nearing, 2019: Quantifying process connectivity with transfer entropy in hydrologic models. Water Resources Research, doi:10.1029/2018WR024555.

Eythorsson, D., S. M. Gardarsson, S. K. Ahmad, F. Hossain, and B. Nijssen, 2019: Arctic climate and snow cover trends – Comparing global circulation models with remote sensing observations. Journal of Applied Earth Observations and Geoinformation, doi:10.1016/j.jag.2019.04.003.

Eldardiry, H., A. Mahmood, X. Chen, F. Hossain, B. Nijssen and D. Lettenmaier, 2019: Atmospheric river-induced precipitation and snowpack during the western United States cold season. Journal of Hydrometeorology, doi:10.1175/JHM-D-18-0228.1.

Fan, Y., M. Clark, D. M. Lawrence, S. Swenson, L. E. Band, S. Brantley, P. D. Brooks, W. E. Dietrich, A. Flores, G. Grant, J. W. Kirchner, D. S. Mackay, J. J. McDonnell, P. C. D. Milly, P. L. Sullivan, C. Tague, H. Ajami, N. Chaney, A. Hartmann, P. Hazenberg, J. McNamara, J. Pelletier, J. Perket, E. Rouholahnejad-Freund, T. Wagener, X. Zeng, R. E. Beighley, J. Buzan, M. Huang, B. Livneh, B. P. Mohanty, B. Nijssen, M. Safeeq, C. Shen, W. van Verseveld, J. Volk, and D. Yamazaki, 2019: Hillslope hydrology in global change research and earth system modeling. Water Resources Research, doi:10.1029/2018WR023903.

Lapo, K., B. Nijssen, and J. Lundquist, 2019: Evaluation of turbulence stability schemes of land models for stable conditions. Journal of Geophysical Research - Atmospheres, doi:10.1029/2018JD028970.

Mao, Y., W. T. Crow, and B. Nijssen, 2018: A framework for diagnosing factors degrading the streamflow performance of a soil moisture data assimilation system. Journal of Hydrometeorology, doi:10.1175/JHM-D-18-0115.1.

Brunke, M., J. Cassano, N. Dawson, A. DuVivier, W. Gutowski, Jr., J. Hamman, W. Maslowski, B. Nijssen, J. Reeves Eyre, J. Renteria, A. Roberts, and X. Zeng, 2018: Evaluation of the atmosphere-land-ocean-sea ice interface processes in the Regional Arctic System Model Version 1 (RASM1) using local and globally gridded observations. Geoscientific Model Development, doi:10.5194/gmd-11-4817-2018.

Niemeyer, R., Y. Cheng, Y. Mao, J. Yearsley, and B. Nijssen, 2018: A thermally-stratified reservoir module for large-scale distributed stream temperature models with application in the Tennessee River Basin. Water Resources Research, doi:10.1029/2018WR022615.

Vano, J., M. Clark, J. Arnold, B. Nijssen, A. Wood, E. Gutmann, N. Addor, J. Hamman, F. Lehner, 2018: Dos and don'ts for using climate change information for water resource planning and management, version 1.0: guidelines for study design. Climate Services, doi:10.1016/j.cliser.2018.07.002.

Nearing, G. S., B. Ruddell, M. Clark, C. Peters-Lidard, and B. Nijssen, 2018: Benchmarking and process diagnostics of land models. Journal of Hydrometeorology, doi:10.1175/JHM-D-17-0209.1.

Hamman, J. J., B. Nijssen, T. J. Bohn, D. R. Gergel, and Y. Mao, 2018: The Variable Infiltration Capacity Model, Version 5 (VIC-5): Infrastructure improvements for new applications and reproducibility. Geoscientific Model Development, doi:10.5194/gmd-11-3481-2018.

Endalamaw, A., W. R. Bolton, J. M. Young-Robertson, D. Morton, L. Hinzman, and B. Nijssen, 2017: Towards improved parameterization of a macro-scale hydrologic model in a discontinuous permafrost boreal forest ecosystem. Hydrology and Earth System Sciences, doi:10.5194/hess-21-4663-2017.

Mizukami, N., M. Clark, A. Newman, A. Wood, E. Gutmann, B. Nijssen, O. Rakovec, L. Samaniego, 2017: Towards seamless large domain parameter estimation for hydrologic models. Water Resources Research, doi:10.1002/2017WR020401.

Mendoza, P. A., A. W. Wood, E. Clark, E. Rothwell, M. P. Clark, B. Nijssen, L. D. Brekke, and J. R. Arnold, 2017: An intercomparison of approaches for improving predictability in operational seasonal streamflow forecasting. Hydrology and Earth System Sciences, doi:10.5194/hess-21-3915-2017.

Newman, A. J., N. Mizukami, M. P. Clark, A. W. Wood, B. Nijssen, and G. Nearing, 2017: Benchmarking of a physically based hydrologic model. Journal of Hydrometeorology, doi:10.1175/JHM-D-16-0284.1.

Cassano, J., A. DuVivier, A. Roberts, M. Hughes, M. Seefeldt, M. Brunke, A. Craig, B. Fisel, W. Gutowski, J. Hamman, M. Higgins, W. Maslowski, B. Nijssen, R. Osinski, X. Zeng, 2017: Development of the Regional Arctic System Model (RASM): Near-surface atmospheric climate sensitivity. Journal of Climate, doi:10.1175/JCLI-D-15-0775.1.

Houze, R., L. McMurdie, W. Petersen, M. Schwaller, W. Baccus, J. Lundquist, C. Mass, B. Nijssen, S. Rutledge, D. Hudak, S. Tanelli, J. Mace, M. Poellet, D. Lettenmaier, J. Zagrodnik, A. Rowe, J. DeHart, L. Madaus, and H. Barnes, 2017: The Olympic Mountains Experiment (OLYMPEX). Bulletin of the American Meteorological Society, doi:10.1175/BAMS-D-16-0182.1.

Hamman, J., B. Nijssen, A. Roberts, A. Craig, W. Maslowski, and R. Osinski, 2017: The coastal streamflow flux in the Regional Arctic System Model. Journal of Geophysical Research: Oceans, doi:10.1002/2016JC012323.

Gergel, D. R., B. Nijssen, J. T. Abatzoglou, D. P. Lettenmaier, M. R. Stumbaugh, 2017: Effects of climate change on snowpack and fire potential in the western United States. Climatic Change, doi:10.1007/s10584-017-1899-y.

Clark, M. P., B. Nijssen, and C. Luce, 2017: An analytical test case for snow models. Water Resources Research, doi:10.1002/2016WR019672.

Zhou, T., I. Haddeland, B. Nijssen, and D.P. Lettenmaier, 2016: Human‐induced changes in the global water cycle. In Terrestrial water cycle and climate change: Natural and human-induced impacts, edited by Q. Tang and T. Oki, American Geophysical Union, ISBN-13:978-1118971765.

Hamman, J., B. Nijssen, M. Brunke, J. Cassano, A. Craig, A. DuVivier, M. Hughes, D. P. Lettenmaier, W. Maslowski, R. Osinski, A. Roberts, and X. Zeng, 2016: The land surface climate in the Regional Arctic System Model. Journal of Climate, doi:10.1175/JCLI-D-15-0415.1.

Sun, N., J. Yearsley, M. Baptiste, Q. Cao, D.P. Lettenmaier, and B. Nijssen, 2016: A spatially distributed model for assessment of the effects of changing land use and climate on urban stream quality. Hydrological Processes, doi:10.1002/hyp.10964.

Xiao, M., B. Nijssen, and D. P. Lettenmaier, 2016: Drought in the Pacific Northwest, 1920-2013. Journal of Hydrometeorology, doi:10.1175/JHM-D-15-0142.1.

Mizukami, N., M. P. Clark, K. Sampson, B. Nijssen, Y. Mao, H. McMillan, R. J. Viger, S. L. Markstrom, L. E. Hay, R. Woods, J. R. Arnold, and L. D. Brekke, 2016: mizuRoute version 1: a river network routing tool for continental domain water resources applications. Geoscientific Model Development, doi:10.5194/gmd-9-2223-2016.

Anghileri, D., N. Voisin, A. Castelletti, F. Pianosi, B. Nijssen, and D. P. Lettenmaier, 2016: Value of long-term streamflow forecast to reservoir operations for water supply in snow-dominated catchments. Water Resources Research, doi:10.1002/2015WR017864.

Cao, Q., N. Sun, J. Yearsley, B. Nijssen, and D. P. Lettenmaier, 2016: Climate and land cover effects on the temperature of Puget Sound streams. Hydrological Processes, doi:10.1002/hyp.10784.

Zhou, T., B. Nijssen, H. Gao, and D. P. Lettenmaier, 2016: The contribution of reservoirs to global land surface water storage variations. Journal of Hydrometeorology, doi:10.1175/JHM-D-15-0002.1.

Mizukami, N., M. P. Clark , E. D. Gutmann , P. A. Mendoza , A. J. Newman, B. Livneh, B. Nijssen, L. Hay , L. D. Brekke , J. R. Arnold, 2016: Implications of the methodological choices for hydrologic portrayals over the contiguous United States: Statistically downscaled forcing data and hydrologic models. Journal of Hydrometeorology, doi:10.1175/JHM-D-14-0187.1.

DuVivier, A.K., J. Cassano, A. Craig, J. Hamman, W. Maslowski, B. Nijssen, R. Osinski, and A. Roberts, 2016: Winter atmospheric buoyancy forcing and oceanic response during strong wind events around southeastern Greenland in the Regional Arctic System Model (RASM) for 1990-2010. Journal of Climate, doi:10.1175/JCLI-D-15-0592.1.

Newman, A. J., M. P. Clark, J. Craig, B. Nijssen, A. W. Wood, E. Gutmann, N. Mizukami, L. Brekke, J. R. Arnold, 2015: Gridded ensemble precipitation and temperature estimates for the contiguous United States. Journal of Hydrometeorology, doi:10.1175/JHM-D-15-0026.1.

Livneh, B., T. Bohn, D. Pierce, F. Munoz-Arriola, B. Nijssen , R. Vose , D. Cayan, L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013. Nature Scientific Data, doi:10.1038/sdata.2015.42.

Clark, E. A., J. Sheffield, M. T. H. van Vliet, B. Nijssen, and D. P. Lettenmaier, 2015: Continental runoff into the oceans, (1950-2008). Journal of Hydrometeorology, doi:10.1175/JHM-D-14-0183.1.

Mao, Y., B. Nijssen, and D. P. Lettenmaier, 2015: Is climate change implicated in the 2013-2014 California drought? A hydrologic perspective. Geophysical Research Letters, doi:10.1002/2015GL063456.

Clark, M. P., B. Nijssen, J. Lundquist, D. Kavetski, D. Rupp, R. Woods, J. Freer, E. Gutmann, A. Wood, L. Brekke, J. Arnold, D. Gochis, R. Rasmussen, 2015: A unified approach for process-based hydrologic modeling: Part 1. Modeling concept. Water Resources Research, doi:10.1002/2015WR017198.

Clark, M. P., B. Nijssen, J. Lundquist, D. Kavetski, D. Rupp, R. Woods, J. Freer, E. Gutmann, A. Wood, D. Gochis, R. Rasmussen, D. Tarboton, V. Mahat, G. Flerchinger, D. Marks, 2015: A unified approach for process-based hydrologic modeling: Part 2. Model implementation and case studies. Water Resources Research, doi:10.1002/2015WR017200.

Vano, J., B. Nijssen, and D. P. Lettenmaier, 2015: Seasonal hydrologic responses to climate change in the Pacific Northwest. Water Resources Research, doi:10.1002/2014WR015909.

Adam, J. C., J. C. Stephens, S. H. Chung, M. P. Brady, R. D. Evans, C. E. Kruger, B. K. Lamb, M. Liu, C. O. Stöckle, J. K. Vaughan, K. Rajagopalan, J. A. Harrison, C. L. Tague, A. Kalyanaraman, Y. Chen, A. Guenther, F.-Y. Leung, L. R. Leung, A. B. Perleberg, J. Yoder, E. Allen, S. Anderson, B. Chandrasekharan, K. Malek, T. Mullis, C. Miller, T. Nergui, J. Poinsatte, J. Reyes, J. Zhu, J. S. Choate, X. Jiang, R. Nelson, J.-H. Yoon, G. G. Yorgey, K. Johnson, K. J. Chinnayakanahalli, A. F. Hamlet, B. Nijssen, and V. Walden, 2015: BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management. Climatic Change, doi:10.1007/s10584-014-1115-2.

Roberts, A., A. Craig, W. Maslowski, R. Osinski, A. DuVivier, M. Hughes, B. Nijssen, J. Cassano, and M. Brunke, 2015: Simulating transient ice–ocean Ekman transport in the Regional Arctic System Model and Community Earth System Model. Annals of Glaciology, doi:10.3189/2015AoG69A760.

Mishra, V., A. Ganguly, R. , B. Nijssen, and D. P. Lettenmaier, 2015: Changes in observed climate extremes in global urban areas. Environmental Research Letters, doi:10.1088/1748-9326/10/2/024005.

Nijssen, B., S. Shukla, C. Lin, H. Gao, T. Zhou, Ishottama, J. Sheffield, E. F. Wood, and D. P. Lettenmaier, 2014: A prototype Global Drought Information System based on multiple land surface models. Journal of Hydrometeorology, doi:10.1175/jhm-d-13-090.1.

Zhou, T., B. Nijssen, G. J. Huffman, and D. P. Lettenmaier, 2014: Evaluation of real-time satellite precipitation data for global drought monitoring. Journal of Hydrometeorology, doi:10.1175/jhm-d-13-0128.1.

Demaria, E. M. C., B. Nijssen, J. B. Valdés, D. A. Rodriguez, and F. Su, 2014: Satellite precipitation in southeastern South America: How do sampling errors impact high flow simulations?. Intl. J. River Basin Management, doi:10.1080/15715124.2013.865637.

Livneh, B., E.A. Rosenberg, C. Lin, B. Nijssen, V. Mishra, K. Andreadis, E.P. Maurer, and D.P. Lettenmaier, 2013: A long-term hydrologically based data set of land surface fluxes and states for the conterminous United States: Updates and extensions. Journal of Climate, doi:10.1175/JCLI-D-12-00508.1.

Bohn, T.J., B. Livneh, J.W. Oyler, S.W. Running, B. Nijssen, and D.P. Lettenmaier, 2013: Global evaluation of MTCLIM and related algorithms for forcing of ecological and hydrological models. Agricultural and Forest Meteorology, doi:10.1016/j.agrformet.2013.03.003.

Schaner, N., N. Voisin, B. Nijssen, and D. P. Lettenmaier, 2012: The contribution of glacier melt to streamflow. Environmental Research Letters, doi:10.1088/1748-9326/7/3/034029.

Gao, Y., L. R. Leung, E. P. Salathé, Jr., F. Dominguez, B. Nijssen, and D. P. Lettenmaier, 2012: Moisture flux convergence in regional and global climate models: Implications for droughts in the southwestern United States under climate change. Geophysical Research Letters, doi:10.1029/2012gl051560.

Chief, K., P.A. Ferré, and B. Nijssen, 2008: Correlation between air permeability and saturated hydraulic conductivity: Unburned and burned soils. Soil Science Society of America Journal, doi:10.2136/sssaj2006.0416.

Demaria, E. M., B. Nijssen, and T. Wagener, 2007: Monte Carlo sensitivity analysis of land surface parameters using the Variable Infiltration Capacity model. Journal of Geophysical Research, doi:10.1029/2006JD007534.

Desilets, S. L. E., B. Nijssen, B. Ekwurzel, P. A. Ferré, 2007: Post-wildfire changes in suspended sediment rating curves: Sabino Canyon, Arizona. Hydrological Processes, doi:10.1002/hyp.6352.

de Gonçalves, L. G. G., W. J. Shuttleworth, B. Nijssen, E. J. Burke, J. A. Marengo, S. C. Chou, P. Houser, and D. L. Toll, 2006: Evaluation of model-derived and remotely sensed precipitation products for continental South America. Journal of Geophysical Research, doi:10.1029/2005JD006276.

Kim, T. W., J. B. Valdés, B. Nijssen, and D. Roncayolo, 2006: Quantification of linkages between large-scale climatic patterns and precipitation in the Colorado River Basin. Journal of Hydrology, doi:10.1016/j.jhydrol.2005.07.043.

Chief, K., P. A. Ferré, and B. Nijssen, 2006: Field testing of a Soil Corer Air Permeameter (SCAP) in desert soils. Vadose Zone Journal, doi:10.2136/vzj2006.0063.

Whitaker, M. P. L., P. A. Ferré, B. Nijssen, and J. Washburne, 2006: Design and testing of a low-cost soil-drying oven. Vadose Zone Journal, doi:10.2136/vzj2005.0075.

Ziegler, A. D., E. P. Maurer, J. Sheffield, B. Nijssen, E. F. Wood and D. P. Lettenmaier, 2005: Detection time for plausible changes in annual precipitation, evapotranspiration, and streamflow in three Mississippi River sub-basins. Climatic Change, doi:10.1007/s10584-005-5379-4.

Nijssen, B., and D. P. Lettenmaier, 2004: Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites. Journal of Geophysical Research, doi:10.1029/2003JD003497.

Bowling, L. C., D. P. Lettenmaier, B. Nijssen, L. P. Graham, D. Clark, M. El Maayar, R. Essery, S. Goers, Y. Gusev, F. Habets, B. van den Hurk, J. Jin, K. Kahan, D. Lohmann, X. Ma, S. Mahanama, D. Mocko, O. Nasonova, G.-Y. Niu, P. Samuelsson, A. Shmakin, K. Takata, D. Verseghy, P. Viterbo, Y. Xia, Y. Xue, and Z.-L. Yang, 2003: Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS Phase 2(e) 1. Experiment description and summary intercomparisons. Global and Planetary Change, doi:10.1016/S0921-8181(03)00003-1.

Nijssen, B., L. C. Bowling, D. P. Lettenmaier, D. B. Clark, M. El Maayar, R. Essery, S. Goers, Y. M. Gusev, F. Habets, B. Van Den Hurk, J. Jin, D. Kahan, D. Lohmann, X. Ma, S. Mahanama, D. Mocko, O. Nasonova, G.-Y. Niu, P. Samuelsson, A.B. Shmakin, K. Takata, D. Verseghy, P. Viterbo, Y. Xia, Y. Xue, Y., and Z.-L. Yang, 2003: Simulation of high latitude hydrological processes in the Torne-Kalix basin: PILPS Phase 2(e) 2. Comparison of model results with observations. Global and Planetary Change, doi:10.1016/S0921-8181(03)00004-3.

Bowling, L.C., D.P. Lettenmaier, B. Nijssen, J. Polcher, R.D. Koster, D. Lohmann, 2003: Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS Phase 2(e) 3. Equivalent model representation and sensitivity experiments. Global and Planetary Change, doi:10.1016/S0921-8181(03)00005-5.

Ziegler, A. D., J. Sheffield, E. P. Maurer, B. Nijssen, E. F. Wood, and D. P. Lettenmaier, 2003: Detection of intensification in global- and continental-scale hydrological cycles: Temporal scale of evaluation. Journal of Climate, doi:10.1175/1520-0442(2003)016<0535:DOIIGA>2.0.CO;2.

Maurer, E. P., A. W. Wood, J. C. Adam, D. P. Lettenmaier, and B. Nijssen, 2002: A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States. Journal of Climate, doi:10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2.

Nijssen, B., and D. P. Lettenmaier, 2002: Water balance dynamics of a boreal forest watershed: White Gull Creek basin, 1994-1996. Water Resources Research, doi:10.1029/2001wr000699.

Chen, C.-T., B. Nijssen, J. Guo, L. Tsang, A. W. Wood, J.-N. Hwang, and D. P. Lettenmaier, 2001: Passive microwave remote sensing of snow constrained by hydrological simulations. Transactions on Geoscience and Remote Sensing, doi:10.1109/36.942553.

Nijssen, B., G. M. O'Donnell, A.F. Hamlet, and D. P. Lettenmaier, 2001: Hydrologic sensitivity of global rivers to climate change. Climatic Change, doi:10.1023/A:1010616428763.

Nijssen, B., G. M. O'Donnell, D. P. Lettenmaier, D. Lohmann, and E. F. Wood, 2001: Predicting the discharge of global rivers. Journal of Climate, doi:10.1175/1520-0442(2001)014<3307:PTDOGR>2.0.CO;2.

Nijssen, B., R. Schnur, and D. P. Lettenmaier, 2001: Global retrospective estimation of soil moisture using the variable infiltration capacity land surface model, 1980-93. Journal of Climate, doi:10.1175/1520-0442(2001)014<1790:GREOSM>2.0.CO;2.

Comanor, K., B. Nijssen, and D. P. Lettenmaier, 2001: Comment on 'Five-minute, 1/2°, and 1° data sets of continental watersheds and river networks for use in regional and global hydrologic and climate modeling studies' by Graham et al.. Water Resources Research, doi:10.1029/2000WR900189.

Nijssen, B., and D. P. Lettenmaier, 1999: A simplified approach for predicting shortwave radiation transfer through boreal forest canopies. Journal of Geophysical Research, doi:10.1029/1999JD900377.

O'Donnell, G., B. Nijssen, and D. P. Lettenmaier, 1999: A simple algorithm for generating streamflow networks for grid-based, macroscale hydrological models. Hydrological Processes, doi:10.1002/(SICI)1099-1085(19990615)13:8<1269::AID-HYP806>3.0.CO;2-R.

Lohmann, D., E. Raschke, B. Nijssen, and D. P. Lettenmaier, 1998: Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrological Sciences Journal, doi:10.1080/02626669809492107.

Lohmann, D., E. Raschke, B. Nijssen, and D. P. Lettenmaier,, 1998: Regional scale hydrology: II. Application of the VIC-2L model to the Weser River, Germany. Hydrological Sciences Journal, doi:10.1080/02626669809492108.

Nijssen, B., I. Haddeland, and D. P. Lettenmaier, 1997: Point evaluation of a surface hydrology model for BOREAS. Journal of Geophysical Research, doi:10.1029/97JD01217.

Wood, E. F., D. Lettenmaier, X. Liang, B. Nijssen, and S. W. Wetzel, 1997: Hydrological modeling of continental-scale basins. Annual Review of Earth and Planetary Sciences, doi:10.1146/

Nijssen, B., D. P. Lettenmaier, X. Liang, S. W. Wetzel, and E. F. Wood, 1997: Streamflow simulation for continental-scale river basins. Water Resources Research, doi:10.1029/96WR03517.


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