Journal Papers using GEOtop

This is the growing list of papers built upon GEOtop in its various versions.

• [34] Climate change and anthropogenic food manipulation interact in shifting the distribution of a large herbivore at its altitudinal range limit JG Bright Ross, W Peters, F Ossi, PR Moorcroft, E Cordano, E Eccel, Scientific Reports 11 (1), 7600
• [33] Wani, J. M., Thayyen, R. J., Ojha, C. S. P., and Gruber, S.: The surface energy balance in a cold and arid permafrost environment, Ladakh, Himalayas, India, The Cryosphere, 15, 2273–2293, https://doi.org/10.5194/tc-15-2273-2021, 2021.
• [32] Wani, J.M., Thayyen, R.J., Gruber, S., Ojha, C.S.P., Stumm, D., 2020. Single-year thermal regime and inferred permafrost occurrence in the upper Ganglass catchment of the cold-arid Himalaya, Ladakh, India. Sci. Total Environ. 703, 134631. https://doi.org/10.1016/j.scitotenv.2019.134631
• [31] Zi, T., Kumar, M., Albertson, J., 2019. Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield. Sci. Rep. 9, 1–13. https://doi.org/10.1038/s41598-019-48405-9
• [30] Fiddes, J., Aalstad, K., Westermann, S., 2019. Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering. Hydrol. Earth Syst. Sci. 23, 4717–4736. https://doi.org/10.5194/hess-23-4717-2019
• [29] Fullhart, A.T., Kelleners, T.J., Speckman, H.N., Beverly, D., Ewers, B.E., Frank, J.M., Massman, W.J., 2019. Measured and Modeled Above‐ and Below‐Canopy Turbulent Fluxes for a Snow‐Dominated Mountain Forest Using Geotop, Hydrological Processes. https://doi.org/10.1002/hyp.13487
• [28] Soltani, M., Laux, P., Mauder, M., Kunstmann, H., 2019. Inverse distributed modelling of streamflow and turbulent fluxes: A sensitivity and uncertainty analysis coupled with automatic optimization. J. Hydrol. 571, 856–872. https://doi.org/10.1016/j.jhydrol.2019.02.033
• [27] Formetta, G., Capparelli, G., 2019. Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability. J. Hydrol. 570, 329–342. https://doi.org/10.1016/j.jhydrol.2018.12.064
• [26] Kiese, R., Fersch, B., Baessler, C., Brosy, C., Butterbach-Bahl, K., Chwala, C., Dannenmann, M., Fu, J., Gasche, R., Grote, R., Jahn, C., Klatt, J., Kunstmann, H., Mauder, M., Rödiger, T., Smiatek, G., Soltani, M., Steinbrecher, R., Völksch, I., Werhahn, J., Wolf, B., Zeeman, M., Schmid, H.P., 2018. The TERENO Pre-Alpine Observatory: Integrating Meteorological, Hydrological, and Biogeochemical Measurements and Modeling. Vadose Zo. J. 17, 0. https://doi.org/10.2136/vzj2018.03.0060
• [25] Soltani, M., Laux, P., Mauder, M., Kunstmann, H., 2018. Spatiotemporal variability and empirical Copula-based dependence structure of modeled and observed coupled water and energy fluxes. Hydrol. Res. nh2018163. https://doi.org/10.2166/nh.2018.163
• [24] Pullens, J. W. M., Sottocornola, M., Kiely, G., Gianelle, D., & Rigon, R. (2018). Assessment of the water and energy budget in a peatland catchment of the Alps using the process based GEOtop hydrological model. Journal of Hydrology, 1–65. http://doi.org/10.1016/j.jhydrol.2018.05.041
• [23] Fullhart, A. T., T. J. Kelleners, D. G. Chandler, J. P. McNamara, and M. S. Seyfried. 2018. Water Flow Modeling with Dry Bulk Density Optimization to Determine Hydraulic Properties in Mountain Soils. Soil Sci. Soc. Am. J. 82:31-44. doi:10.2136/sssaj2017.06.0196
• [22] Mauder, M., Genzel, S., Fu, J., Kiese, R., Soltani, M., Steinbrecher, R., Kunstmann, H. (2017). Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations. Hydrological Processes. https://doi.org/10.1002/hyp.11397
• [21] Engel, M., Notarnicola, C., Endrizzi, S., & Bertoldi, G. (2017). A sensitivity analysis of a snow model to understand spatial and temporal snow dynamic in a high-elevation catchment. Hydrological Processes, (August), 1-18. https://doi.org/10.1002/hyp.11314
• [20] Kollet, S., Sulis, M., Maxwell, R., Paniconi, C., Putti, M., Bertoldi, G., Coon, E. T., Cordano, E., Endrizzi, S., Kikinzon, E., Mouche, E., Mügler, C., Park, Y.-J., Refsgaard, J. C., Stisen, S. and Sudicky, E. (2017), The integrated hydrologic model intercomparison project, IH-MIP2: A second set of benchmark results to diagnose integrated hydrology and feedbacks. Water Resour. Res., 53, doi:10.1002/2016WR019191 .
• [19] Hingerl, L., Kunstmann, H., Wagner, S., Mauder, M., Bliefernicht, J., & Rigon, R. (2016). Spatio-temporal variability of water and energy fluxes - a case study for a mesoscale catchment in pre-alpine environment. Hydrological Processes. https://doi.org/10.1002/hyp.
• [18] Formetta G., S. Simoni, J. W. Godt, N. Lu, and R. Rigon (2016), Geomorphological control on variably saturated hillslope hydrology and slope instability, Water Resour. Res., 52,4590?4607, doi:10.1002/2015WR017626.
• [17] Formetta G., Capparelli G., David O., Green T.R., and Rigon, R., Integration of a three-dimensional process-based hydrological model into the Object Modeling System, doi:10.3390/w8010012, Water, 8, 12; 2016
• [16] Zi, T., Kumar, M., Kiely, G., Lewis, C., & Albertson, J. (2016). Environmental Modelling & Software Simulating the spatio-temporal dynamics of soil erosion , deposition , and yield using a coupled sediment dynamics and 3D distributed hydrologic model. Environmental Modelling and Software, 83, 310–325. https://doi.org/10.1016/j.
• [15] Eccel, E., Cordano, E., & Zottele, F. (2015). A project for climatologic mapping of soil water content in Trentino. Italian Journal of Agrometeorology, 1(500 m), 5–20. http
• [14] Bertoldi, G., Della, S., Notarnicola, C., Pasolli, L., Niedrist, G., & Tappeiner, U. (2014). Estimation of soil moisture patterns in mountain grasslands by means of SAR RADARSAT2 images and hydrological modeling. Journal of Hydrology, 516, 245– 257.https://doi.org/10.1016/j.
• [13] Della Chiesa, S., Bertoldi, G., Niedrist, G., Obojes, N., Endrizzi, S., Albertson, J. D., … Tappeiner, U. (2014). Modelling changes in grassland hydrological cycling along an elevational gradient in the Alps. Ecohydrology, n/a--n/a. https://doi.org/10.1002/eco.
• [12] Endrizzi, S., Gruber, S., Dall’Amico, M., & Rigon, R. (2014). GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects. Geoscientific Model Development, 7(6), 2831– 2857.https://doi.org/10.5194/gmd-7-
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• [11] Gubler, S., Endrizzi, S., Gruber, S., & Purves, R. S. (2013). Sensitivities and uncertainties of modeled ground temperatures in mountain environments. Geoscientific Model Development, 6(4), 1319–1336. https://doi.org/10.5194/gmd-6-
• [10] Lewis, C., Albertson, J., Zi, T., Xu, X., & Kiely, G. (2013). How does afforestation affect the hydrology of a blanket peatland? A modelling study. Hydrological Processes, 27(25), 3577–3588. https://doi.org/10.1002/hyp. 
• [9] Fiddes, J., & Gruber, S. (2012). TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales. Geoscientific Model Development, 5(5), 1245–1257. https://doi.org/10.5194/gmd-5-
• [8] Dall’Amico, M., Endrizzi, S., Gruber, S., & Rigon, R. (2011). A robust and energy-conserving model of freezing variably-saturated soil. The Cryosphere, 5(2), 469– 484. https://doi.org/10.5194/tc-5-
• [7] Bertoldi, G., Notarnicola, C., Leitinger, G., Endrizzi, S., Della Chiesa, S., Zebisch, M., & Tappeiner, U. (2010). Topographical and ecohydrological controls on land surface temperature in an Alpine catchment. Ecohydrology, 3(doi:10.1002/eco.129), 189–204. 
• [6] Endrizzi, S., & Marsh, P. (2010). Observations and modeling of turbulent fluxes during melt at the shrub-tundra transition zone 1: point scale variations. Hydrology Research, 41(6), 471–490. article. 
• [5] Gebremichael, M., Rigon, R., Bertoldi, G., & Over, T. M. (2009). On the scaling characteristics of observed and simulated spatial soil moisture fields. Nonlin. Processes Geophys., 16(1), 141–150. Retrieved from http://www.nonlin-processes-
• [4] Simoni, S., Zanotti, F., Bertoldi, G., & Rigon, R. (2007). Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtopFS. Hydrological Processes, doi: 10.10. 
• [3] Bertoldi, G., Rigon, R., & Over, T. M. (2006). Impact of Watershed Geomorphic Characteristics on the Energy and Water Budgets. Journal of Hydrometeorology, 7, 389–403. 
• [2] Rigon, R., Bertoldi, G., & Over, T. M. (2006). GEOtop: A Distributed Hydrological Model with Coupled Water and Energy Budgets. Journal of Hydrometeorology, 7, 371–388. 
• [1] Zanotti, F., Endrizzi, S., Bertoldi, G., & Rigon, R. (2004). The GEOtop snow module. Hydrol. Proc., 18, 3667–3679. DOI:10.1002/hyp.5794.