Skip to main content

Publications and Products

Peer Reviewed Publications:

  1. Poulos, M. J., Smith, T. J., Benner, S. G., Pierce, J. L., Flores, A. N., Seyfried, M. S., McNamara, J. P. (2021), Topographically Moderated Soil Water Seasons Impact Vegetation Dynamics in Semiarid Mountain Catchments: Illustrations from the Dry Creek Experimental Watershed, Idaho, USA, Hydrological Processes, in press, doi: 10.1002/hyp.14421.
  2. Sullivan, P.L, Billings, S., Hirmas, D., Li, L., Zhang, X., Ziegler, S., Murenbeeld, K., Ajami, H., Guthrie, A., Singha, K. , Gimenez, D., Duro, A.M., Moreno, V., Flores, A., Cueva, A., Koop, A.N., Aronson, E., Barnard, H., Banwart, S., Keen, R., Nemes, A., Nikolaidis, N., Nippert, J., Richter, D., Robinson, D., Sadayappan, K., Souza, L., Unruh, M., and Wen, H. (2021). Embracing the dynamic nature of soil structure: A paradigm illuminating the role of life in critical zones of the Anthropocene, Earth-Science Reviews, https://doi.org/10.1016/j.earscirev.2021.103873.
  3. Pandit, K., Dashti, H., Hudak, A. T., Glenn, N. F., Flores, A. N., and Shinneman, D. J. (2021). Understanding the effect of fire on vegetation composition and gross primary production in a semi-arid shrubland ecosystem using the Ecosystem Demography (EDv2.2) model, Biogeosciences, https://doi.org/10.5194/bg-2019-510, accepted. [Open Access]
  4. Dashti, H., Pandit, K., Glenn, N.F., Shinneman, D.J., Flerchinger, G.N., Hudak, A.T., de Graaf, M.A., Flores, A., Ustin, S., Ilangakoon, N. and Fellows, A.W. (2021). Performance of the ecosystem demography model (EDv2. 2) in simulating gross primary production capacity and activity in a dryland study area. Agricultural and Forest Meteorology, 297, https://doi.org/10.1016/j.agrformet.2020.108270.


  5. Rudisill, W., Flores, A., & McNamara, J. (2021). The Impact of Initial Snow Conditions on the Numerical Weather Simulation of a Northern Rockies Atmospheric River. Journal of Hydrometeorology, 22(1), 155–167. https://doi.org/10.1175/JHM-D-20-0018.1 [Open Access]


  6. Kaiser, K. E., Flores, A. N., and Vernon, C. R. (2020). Janus: A Python Package for Agent-Based Modeling of Land Use Change. Journal of Open Research Software, 8(1), p.15. doi.org/10.5334/jors.306. [Open Access]
  7. Kaiser, K. E., Hillis, A. V., Flores, A. N. (2020), Identifying Emergent Agent Types and Effective Practices for Portability, Scalability, and Intercomparison in Water Resource Agent-Based Models, Environmental Modelling and Software, 127(104671), doi:10.1016/j.envsoft.2020.104671. [Open Access]
  8. Pandit, K., Dashti, H., Glenn, N. F., Flores, A. N., Maguire, K. C., Shinneman, D. J., Flerchinger, G. N., and Fellows, A. W. (2019), Developing and Optimizing Shrub Parameters Representing Sagebrush (Artemisia Spp.) Ecosystems in the Northern Great Basin Using the Ecosystem Demography (EDv2.2) Model, Geosci. Model Dev., 12(11), 4585–4601. [Open Access]
  9. Dashti, H.*, Poley, A., Glenn, N. F., Ilangakoon, N. T., Spaete, L., Roberts, D., Enterkine, J., Flores, A. N., Ustin, S. L., Mitchell, J. J. (2019), A multi-method, multi-sensor approach for regional scale vegetation classification in drylands, Remote Sensing, 11(18), 2141. doi.org/10.3390/rs11182141. [Open Access]
  10. M. Sadegh, A. AghaKouchak, A. N. Flores, I. Mallakpour , and M. R. Nikoo (2019), A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox, Water Resources Management, doi.org/10.1007/s11269-019-02283-y.
  11. S. R. Weintraub, A. N. Flores, W. Wieder, D. Sihi, C. Cagnarini, D. R. Potma Gonçalves, M. Young, L. Li, Y. Olschansky, R. Baatz, P. Sullivan, P. Groffman (2019), Leveraging Environmental Research and Observation Networks to Advance Soil Carbon Science, Journal of Geophysical Research-Biogeosciences, doi:10.1029/2018JG004956.
  12. S. Havens, D. Marks, K. A. FitzGerald, M. Masarik, A. N. Flores, P. Kormos, and A. Hedrick (2019), Approximating input data to a snowmelt model using Weather Research and Forecasting model outputs in lieu of meteorological measurements, Journal of Hydrometeorology, doi:10.1175/JHM-D-18-0146.1.
  13. Han, B., Benner, S. G., and Flores, A. N. (2019), Including Variability across Climate Change Projections in Assessing Impacts on Water Resources in an Intensively Managed Landscape, Water, 11(2), 286, doi:10.3390/w11020286. [Open Access]
  14. Q. Zhou, A. Fellows, G. Flerchinger, and A. N. Flores (2019), Examining Interactions Between and Among Predictors of Net Ecosystem Exchange: A Machine Learning Approach in a Semi-arid Landscape, Scientific Reports, doi:10.1038/s41598-019-38639-y [Open Access]
  15. Dashti, H., N. F. Glenn, S. Ustin, J. J. Mitchell, N. T. Ilangakoon, A. N. Flores, J. Silvan-Cardenas, K. Zhao, L. P. Spaete, and M.-A. de Graaff (2019), Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function, IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2018.2889318.
  16. Y. Fan, M. Clark, D. Lawrence, S. Swenson, L. Band, S. Brantley, P. Brooks, W. E. Dietrich, A. N. Flores, G. Grant, J. Kirchner, D. Mackay, J. McDonnell, P. Milly, P. Sullivan, C. Tague, H. Ajami, N. Chaney, A. Hartmann, P. Hazenberg, J. P. McNamara, J. Pelletier, J. Perket,, E. Rouholahnejad, T. Wagener, X. Zeng, R. E. Beighley, J. Buzan, M. Huang, B. Livneh, B. Mohanty, B. Njissen, M. Safeeq, C. Shen, W van Verseveld, J. Volk, D. Yamazaki (2019), Structures and Functions of Hillslope Hydrology with Relevance to Earth System Modeling: Syntheses and Testable Hypotheses, Water Resources Research, AGU Centennial Volume on GRAND CHALLENGES IN THE EARTH AND SPACE SCIENCES, doi:10.1029/2018WR023903.
  17. Steimke, A.L., B. Han, J.S. Brandt, and A.N. Flores (2018), Climate Change and Curtailment: Evaluating Water Management Practices in the Context of Changing Runoff Regimes in a Snowmelt-Dominated Basin, Water, 10, 1490, doi:10.3390/w10101490. [Open Access]
  18. Baatz, R., P. L. Sullivan, L. Li, S. Weintraub, H. W. Loescher, M. Mirtl, P. M. Groffman, D. H. Wall, M. Young, T. S. White, H. Wen, S. Zacharias, I. Kühn, J. Tang, J. Gaillardet, I. Braud, A. N. Flores, P. Kumar, H. Lin, T. Ghezzehei, H. L. Gholz, H. Vereecken, and K. Van Looy (2018), Integration of terrestrial observational networks: opportunity for advancing Earth system dynamics modelling, Earth System Dynamics, 9, 593-609, https://doi.org/10.5194/esd-9-593-2018. [Open Access]
  19. McNamara, J. P., S. G. Benner, M. J. Poulos, D. Chandler, H.-P. Marshall, A. N. Flores, M. Seyfried, and N. F. Glenn (2017), Form and function relationships revealed by long-term research in a semiarid mountain catchment, WIREs Water, doi:10.1002/wat2.1267.
  20. Lin, L.-F., A. M. Ebtehaj, A. N. Flores, S. Bastola, and R. L. Bras (2017), Joint Variational Data Assimilation of Satellite Precipitation and Soil Moisture: A Case Study Using TRMM and SMOS Data, Monthly Weather Review, doi:10.1175/MWR-D-17-0125.1. [Open Access]
  21. Olsoy, P. J., J. J. Mitchell, N. F. Glenn, and A. N. Flores (2017), Assessing a multi-platform data fusion technique spatiotemporal in capturing dynamics of heterogeneous dryland ecosystems in topographically complex terrain, Remote Sensing, 9(10), 981, doi:10.3390/rs9100981. [Open Access]
  22. Zhou, Q., A. N. Flores, N. F. Glenn, R. D. Walters, and B. Han (2017), A machine learning approach to estimation of downward solar radiation from satellite-derived data products: an application over a semi-arid ecosystem in the U.S., PLoS ONE, 12(8): e0180239, doi:10.1371/journal.pone.0180239. [Open Access]
  23. Han, B., S. G. Benner, J. P. Bolte, K. B. Vache, and A. N. Flores (2017), Coupling biophysical processes and water rights to simulate spatially distributed water use and water scarcity in an intensively managed hydrologic system, Hydrology and Earth System Sciences, 21, 3671-3685, doi:10.5194/hess-21-3671-2017. [Open Access]
  24. Chance, E., K. M. Cobourn, V. Thomas, B. C. Dawson, and A. N. Flores (2017), Normalized Difference Moisture Index Method for Identifying Irrigated Areas in the Snake River Plain, Idaho, Remote Sensing, 9(6), 546; doi:10.3390/rs9060546. [Open Access]
  25. Tappa, D. J., M. J. Kohn, J. P. McNamara, S. G. Benner, S. G., A. N. Flores (2016), Isotopic composition of precipitation in a topographically steep, seasonally snow-dominated watershed and implications of variations from the global meteoric water line, Hydrol. Process., 30: 4582–4592. doi: 10.1002/hyp.10940. [PDF – Isotopic composition…]
  26. Evans, S. L., A. N. Flores, A. Heilig, M. J. Kohn, and H.-P Marshall (2016), Isotopic evidence for lateral flow and diffusive transport, but not sublimation, in a sloped seasonal snowpack, Idaho, USA, Geophysical Research Letters, 43, doi:10.1002/2015GL067605. [PDF – Isotopic evidence…]
  27. Kormos, P. R., J. P. McNamara, M. S. Seyfried, H.-P. Marshall, D. Marks, and A. N. Flores (2015), Bedrock infiltration estimates from a catchment water storage-based modeling approach in the rain snow transition zone, Journal of Hydrology, 525, 231-248, doi:10.1016/j.jhydrol.2015.03.032. [PDF – Bedrock infiltration estimates…]
  28. Lin, L.-F., A. M. Ebtehaj, R. L. Bras, A. N. Flores, and J. Wang (2015), Dynamical downscaling of GPM precipitation observations for hydrologic applications via WRF 4D-Var assimilation of precipitation, Journal of Hydrometeorology, 16(2), 811-829, doi:10.1175/JHM-D-14-0042.1. [PDF – Dynamical downscaling…] [Open Access]
  29. Walters, R. D., K. A. Watson, H.-P. Marshall, J. P. McNamara, and A. N. Flores (2015), A physiographic approach to downscaling fractional snow cover data in mountainous regions, Remote Sensing of Environment, 152, 413-425, doi:10.1016/j.rse.2014.07.001. [PDF – A physiographic approach…]
  30. Kormos, P. R., D. Marks, J. P. McNamara, H.-P. Marshall, A. Winstral, and A. N. Flores (2014), Snow distribution, melt and surface water inputs to the soil in the mountain rain-snow transition zone, J. of Hydrol., 519(A), 190-204, doi:10.1016/j.jhydrol.2014.06.051. [PDF – Snow distribution…]
  31. Anderson, B. T., J. P. McNamara, H.-P. Marshall, and A. N. Flores (2014), Insights into the physical processes controlling correlations between snow distribution and terrain properties, Water Resour. Res., 50, doi:10.1002/2013WR013714. [PDF – Insights into the physical processes…]
  32. Flores, A. N., D. Entekhabi, and R. L. Bras (2014),  Application of a hillslope-scale soil moisture data assimilation system to military trafficability assessment, J.  Terramechanics, 51, 53-66, doi: 10.1016/j.jterra.2013.11.004. [PDF – Application of hillslope-scale data assimilation to military trafficability…]
  33. Johnson, B., B. Malama, W. Barrash, and A. N. Flores (2013), Recognizing and modeling variable drawdown due to evapotranspiration in a semiarid riparian zone considering local differences in vegetation and distance from a river source, Water Resour. Res., 49, doi:10.1002/wrcr.20122. [PDF – Application of a hillslope-scale…]
  34. Stanaway, D., R. Haggerty, S. G. Benner, A. N. Flores, and K. Feris (2012), Persistent metal contamination limits lotic ecosystem heterotrophic metabolism after more than 100 years of exposure: a novel application of the Resazurin Resorufin Smart Tracer, Environmental Science & Technology, 46 (18), pp 9862–9871, doi: 10.1021/es3015666. [PDF – Persistent metal contamination…]
  35. Flores, A. N., R. L. Bras, and D. Entekhabi (2012), Hydrologic data assimilation with a hillslope-scale resolving model and L-band radar observations: Synthetic experiments with the ensemble Kalman filter, Water Resour. Res., 48, W08509, doi:10.1029/2011WR011500. [PDF – Hydrologic data assimilation…]
  36. Poulos, M. J., J. L. Pierce, A. N. Flores, and S. G. Benner (2012), Hillslope asymmetry maps reveal widespread, multi-scale organization, Geophysical Research Letters, 39, L06406, doi:10.1029/2012GL051283. [PDF – Hillslope asymmetry maps…]
  37. Smith, T. J., J. P. McNamara, A. N. Flores, M. M. Gribb, P. S. Aishlin, and S. G. Benner (2011), Small soil storage capacity constrains upland benefits of winter snowpack, Hydrological Processes, 25(25), 3858-3865, doi:10.1002/hyp.8340. [PDF – Small soil storage capacity…]
  38. Kunkel, M. L., A. N. Flores, T. J. Smith, J. P. McNamara, and S. G. Benner (2011), A simplified approach for estimating soil carbon and nitrogen stocks in semi-arid complex terrain, Geoderma, 165(1), 1-11, doi:10.1016/j.geoderma.2011.06.011. [PDF – A simplified approach…]
  39. Flores, A. N., D. Entekhabi, and R. L. Bras (2010), Reproducibility of soil moisture ensembles when representing soil parameter uncertainty and correlation using a Latin Hypercube-based approach, Water Resour. Res., 46, W04506, doi:10.1029/2009WR008155. [PDF – Reproducibility of soil moisture…]
  40. Flores, A. N., V. Y. Ivanov, D. Entekhabi, and R. L. Bras (2009), Impacts of hillslope-scale organization in topography, soil moisture, soil temperature, and vegetation on modeling surface microwave radiation emission, IEEE Trans. Geosci. Remote Sens., 47(8), 2557-2571. [PDF – Impacts of hillslope-scale organization…]
  41. Flores, A. N., B. P. Bledsoe, C. O. Cuhaciyan, and E. E. Wohl (2006), Channel-reach morphology dependence on energy, scale, and hydroclimatic processes with implications for prediction using geospatial data, Water Resour. Res., 42, W06412, doi:10.1029/2005WR004226. [PDF – Channel-reach morphology dependence…]