Zobrazeno 1 - 8
of 8
pro vyhledávání: '"N. M. Gasparini"'
Publikováno v:
Earth Surface Dynamics, Vol 12, Pp 1227-1242 (2024)
Quantifying the timescales over which landscapes evolve is critical for understanding past and future environmental change. Computational landscape evolution models are one tool among many that have been used in this pursuit. We compare numerically m
Externí odkaz:
https://doaj.org/article/828753729c9f4ef18f4edc0dcd3d9815
Publikováno v:
Earth Surface Dynamics, Vol 8, Pp 893-912 (2020)
Drainages reorganise in landscapes under diverse conditions and process dynamics that impact biotic distributions and evolution. We first investigated the relative control that Earth surface process parameters have on divide migration and stream capt
Externí odkaz:
https://doaj.org/article/7c9182a113034c8386dd074a3d377656
Autor:
K. R. Barnhart, E. W. H. Hutton, G. E. Tucker, N. M. Gasparini, E. Istanbulluoglu, D. E. J. Hobley, N. J. Lyons, M. Mouchene, S. S. Nudurupati, J. M. Adams, C. Bandaragoda
Publikováno v:
Earth Surface Dynamics, Vol 8, Pp 379-397 (2020)
Numerical simulation of the form and characteristics of Earth's surface provides insight into its evolution. Landlab is an open-source Python package that contains modularized elements of numerical models for Earth's surface, thus reducing time requi
Externí odkaz:
https://doaj.org/article/c0b8ffc08f4e4695b238f4662c6f5744
Autor:
R. Strauch, E. Istanbulluoglu, S. S. Nudurupati, C. Bandaragoda, N. M. Gasparini, G. E. Tucker
Publikováno v:
Earth Surface Dynamics, Vol 6, Pp 49-75 (2018)
We develop a hydroclimatological approach to the modeling of regional shallow landslide initiation that integrates spatial and temporal dimensions of parameter uncertainty to estimate an annual probability of landslide initiation based on Monte C
Externí odkaz:
https://doaj.org/article/16ca3fc7c08f462b88aad8b5da63fd91
Autor:
J. M. Adams, N. M. Gasparini, D. E. J. Hobley, G. E. Tucker, E. W. H. Hutton, S. S. Nudurupati, E. Istanbulluoglu
Publikováno v:
Geoscientific Model Development, Vol 10, Iss 4, Pp 1645-1663 (2017)
Representation of flowing water in landscape evolution models (LEMs) is often simplified compared to hydrodynamic models, as LEMs make assumptions reducing physical complexity in favor of computational efficiency. The Landlab modeling framework can b
Externí odkaz:
https://doaj.org/article/4949d99d5d0641278c31a9dc2b78d90e
Autor:
D. E. J. Hobley, J. M. Adams, S. S. Nudurupati, E. W. H. Hutton, N. M. Gasparini, E. Istanbulluoglu, G. E. Tucker
Publikováno v:
Earth Surface Dynamics, Vol 5, Iss 1, Pp 21-46 (2017)
The ability to model surface processes and to couple them to both subsurface and atmospheric regimes has proven invaluable to research in the Earth and planetary sciences. However, creating a new model typically demands a very large investment of tim
Externí odkaz:
https://doaj.org/article/3a3724471a73489386c5e7ab87b95060
Autor:
G. E. Tucker, D. E. J. Hobley, E. Hutton, N. M. Gasparini, E. Istanbulluoglu, J. M. Adams, S. S. Nudurupati
Publikováno v:
Geoscientific Model Development, Vol 9, Iss 2, Pp 823-839 (2016)
CellLab-CTS 2015 is a Python-language software library for creating two-dimensional, continuous-time stochastic (CTS) cellular automaton models. The model domain consists of a set of grid nodes, with each node assigned an integer state code that repr
Externí odkaz:
https://doaj.org/article/78a7e9a100384fb48868533d5974796a
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