Open AccessTools and Algorithms to Link Horizontal Hydrologic and Vertical Hydrodynamic Models and Provide a Stochastic Modeling Framework
Author(s) -
Salah Ahmad M,
Nelson E James,
Williams Gustavious P
Publication year - 2010
Publication title -
journal of advances in modeling earth systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.03
H-Index - 58
ISSN - 1942-2466
DOI - 10.3894/james.2010.2.12
Subject(s) - computer science , grid , hydrological modelling , stochastic modelling , algorithm , frame (networking) , flow (mathematics) , data mining , geology , mathematics , telecommunications , statistics , geometry , geodesy , climatology
We present algorithms and tools we developed to automatically link an overland flow model to a hydrodynamic water quality model with different spatial and temporal discretizations. These tools run the linked models which provide a stochastic simulation frame. We also briefly present the tools and algorithms we developed to facilitate and analyze stochastic simulations of the linked models. We demonstrate the algorithms by linking the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model for overland flow with the CE‐QUAL‐W2 model for water quality and reservoir hydrodynamics. GSSHA uses a two‐dimensional horizontal grid while CE‐QUAL‐W2 uses a two‐dimensional vertical grid. We implemented the algorithms and tools in the Watershed Modeling System (WMS) which allows modelers to easily create and use models. The algorithms are general and could be used for other models. Our tools create and analyze stochastic simulations to help understand uncertainty in the model application. While a number of examples of linked models exist, the ability to perform automatic, unassisted linking is a step forward and provides the framework to easily implement stochastic modeling studies.