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|Storage:||The size of this resource is 28.6 MB|
|Created:||Jul 25, 2020 at 8:46 p.m.|
|Last updated:|| Aug 20, 2020 at 11:07 p.m.
|Citation:||See how to cite this resource|
|Content types:||Model Program Content|
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SUMMA (Clark et al., 2015a;b;c) is a hydrologic modeling framework that can be used for the systematic analysis of alternative model conceptualizations with respect to flux parameterizations, spatial configurations, and numerical solution techniques. It can be used to configure a wide range of hydrological model alternatives and we anticipate that systematic model analysis will help researchers and practitioners understand reasons for inter-model differences in model behavior. When applied across a large sample of catchments, SUMMA may provide insights in the dominance of different physical processes and regional variability in the suitability of different modeling approaches. An important application of SUMMA is selecting specific physics options to reproduce the behavior of existing models – these applications of "model mimicry" can be used to define reference (benchmark) cases in structured model comparison experiments, and can help diagnose weaknesses of individual models in different hydroclimatic regimes.
SUMMA is built on a common set of conservation equations and a common numerical solver, which together constitute the “structural core” of the model. Different modeling approaches can then be implemented within the structural core, enabling a controlled and systematic analysis of alternative modeling options, and providing insight for future model development.
This version was released on July 20, 2020.
|MIGRATED_FROM||Model Program Resource|
|The content of this resource is derived from||https://github.com/NCAR/summa/releases/tag/v3.0.0|
|This resource is described by||https://summa.readthedocs.io/en/latest/installation/SUMMA_installation/|
|Title||Owners||Sharing Status||My Permission|
|Toward Open and Reproducible Environmental Modeling by Integrating Online Data Repositories, Computational Environments, and Model Application Programming Interfaces||Young-Don Choi||Public & Shareable||Open Access|
|Toward Open and Reproducible Environmental Modeling by Integrating Online Data Repositories, Computational Environments, and Model Application Programming Interfaces||Iman Maghami||Private & Shareable||None|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/