SUMMA 2.0.0 master version
|Authors:||Martyn Clark Bart Nijssen|
|Resource type:||Model Program Resource|
|Storage:||The size of this resource is 623.6 KB|
|Created:||Dec 07, 2018 at 10:35 p.m.|
|Last updated:|| May 23, 2019 at 11:11 p.m.
|Citation:||See how to cite this resource|
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.
The important modeling features are:
The formulation of the conservation model equations is cleanly separated from their numerical solution;
Different model representations of physical processes (in particular, different flux parameterizations) can be used within a common set of conservation equations; and
The physical processes can be organized in different spatial configurations, including model elements of different shape and connectivity (e.g., nested multi-scale grids and HRUs).
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|Test Cases of SUMMA modeling that include model instances and Jupyter notebooks for SUMMA 2nd Paper(2015)||YOUNG-DON CHOI||Public & Shareable||Open Access|
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