Simulating watersheds using loosely integrated model components: Evaluation of computational scaling using OpenMI

Castronova, Anthony M.; Goodall, Jonathan L.

doi:10.1016/j.envsoft.2012.01.020

Cited by 20 publications

(7 citation statements)

References 19 publications

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“…In the context of Earth system science, the development of a modeling environment has been highly valued; for example, the Earth System Modeling Framework (ESMF) (Hill et al, ), Grid Enabled Integrated Earth System Model (GENIE) (Price et al, ), Land Information System (Kumar et al, ), the Modular Earth Submodel System (MESSy) (Jöckel et al, ), the OASIS3 coupler (Valcke, ), and other platforms have been developed to provide a unified software platform for Earth system modeling and to couple weather, climate, and related models (Valcke et al, ). In the field of environment modeling, mature modeling environments have been developed since the 1980s, including the modular modeling system (MMS) (Leavesley et al, ), the spatial modeling environment (SME) (Maxwell & Costanza, ), the open modeling interface (OpenMI) (Castronova and Goodall, ; Gregersen et al, ; Knapen et al, ), the invisible modeling environment (TIME) (Argent et al, ), and the Open Modeling System (OMS) (David et al, ). These software tools have facilitated the rapid increase in integrated environmental modeling.…”

Section: Introductionmentioning

confidence: 99%

Watershed System Model: The Essentials to Model Complex Human‐Nature System at the River Basin Scale

Cheng

Lin

et al. 2018

JGR Atmospheres

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Watershed system models are urgently needed to understand complex watershed systems and to support integrated river basin management. Early watershed modeling efforts focused on the representation of hydrologic processes, while the next‐generation watershed models should represent the coevolution of the water‐land‐air‐plant‐human nexus in a watershed and provide capability of decision‐making support. We propose a new modeling framework and discuss the know‐how approach to incorporate emerging knowledge into integrated models through data exchange interfaces. We argue that the modeling environment is a useful tool to enable effective model integration, as well as create domain‐specific models of river basin systems. The grand challenges in developing next‐generation watershed system models include but are not limited to providing an overarching framework for linking natural and social sciences, building a scientifically based decision support system, quantifying and controlling uncertainties, and taking advantage of new technologies and new findings in the various disciplines of watershed science. The eventual goal is to build transdisciplinary, scientifically sound, and scale‐explicit watershed system models that are to be codesigned by multidisciplinary communities.

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Section: Introductionmentioning

confidence: 99%

Watershed System Model: The Essentials to Model Complex Human‐Nature System at the River Basin Scale

Cheng

Lin

et al. 2018

JGR Atmospheres

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“…Nevertheless, the models still work in concert and support integrated decision making. There can however be computational inefficiencies in this loose integration centered on data files for information exchange (Castronova and Goodall, 2013), and in cases where exchange between model components depends on an iteration between the modules, file based coupling is in most practical cases not a workable solution.…”

Section: Integrated Environmental Modelingmentioning

confidence: 99%

Integration of an energy balance snowmelt model into an open source modeling framework

Gupta¹,

Tarboton²,

Hummel³

et al. 2015

Environmental Modelling & Software

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a b s t r a c tThis paper presents a data model for organizing the inputs and outputs of an energy balance snowmelt model (the Utah Energy Balance Model, UEB) that provides a foundation for its integration into the EPA BASINS modeling framework and enables its coupling with other hydrologic models in this system. Having UEB as a BASINS component has facilitated its coupling with the Geospatial Streamflow Forecast Model (GeoSFM) to compute the melting of glaciers and subsequent streamflow in the Himalayas. The data model uses a combination of structured text and network Common Data Form (netCDF) files to represent parameters, geographical, time series, and gridded space-time data. We describe the design and structure of this data model, integration methodology of UEB and GeoSFM and illustrate the effectiveness of the resulting coupled models for the computation of surface water input and streamflow for a glaciated watershed in Nepal Himalayas.

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“…In this approach, the GIS software was simply used as a database to feed input data to the model [12]. There are several different approaches to integrating GIS with simulation models such as; the embedding method, loose coupling and tight coupling methods [13] [14] [15] [16]. The loose coupling approach is the simplest as the GIS software and the hydrologic model exchange files, read some of its input data files from geo-database and produce resultant output in a format that allows processing and displays the results within the GIS software.…”

Section: Introductionmentioning

confidence: 99%

Development of GIS Interface Tool for GAMES Model and Its Application to an Agricultural Watershed in Southern Ontario

Panjabi¹,

Allataifeh²,

Dai³

et al. 2018

OJCE

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Soil erosion is an important economic and environmental concern throughout the world. In order to assess soil erosion risk and conserve soil and water resources, soil erosion modeling at the watershed scale is imperative. The Guelph model for evaluating effects of Agricultural Management System on Erosion and Sedimentation (GAMES) is tailor-made for such applications; it, however, requires a significant amount of spatial information which needs to be pre-processed using a Geographic Information System (GIS). The GAMES model currently lacks any such automated tools. As such, the GAMES was loosely coupled to a GIS interface to manage the large spatial input data and to produce efficient cartographic representations of model output results. The developed interface tool was tested to simulate the Kettle Creek paired watershed in Southern Ontario, Canada. Result demonstrated that the GIS-assisted procedure increased the ability of the GAMES model in simulating such a spatially varied watershed and made the process more efficient and user-friendly. Furthermore, the quality of reporting and displaying resultant spatial output was also significantly improved. The developed GAMES interface could be applied to any watershed, and the enhancement could be used to assess soil erosion risk and conserve soil and water resources in an effective way.

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Simulating watersheds using loosely integrated model components: Evaluation of computational scaling using OpenMI

Cited by 20 publications

References 19 publications

Watershed System Model: The Essentials to Model Complex Human‐Nature System at the River Basin Scale

Watershed System Model: The Essentials to Model Complex Human‐Nature System at the River Basin Scale

Integration of an energy balance snowmelt model into an open source modeling framework

Development of GIS Interface Tool for GAMES Model and Its Application to an Agricultural Watershed in Southern Ontario

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