SWATShare – A web platform for collaborative research and education through online sharing, simulation and visualization of SWAT models

Rajib, Adnan; Merwade, Venkatesh; Kim, I Luk; Zhao, Lan; Song, Carol X.; Zhe, Shandian

doi:10.1016/j.envsoft.2015.10.032

Cited by 72 publications

(40 citation statements)

References 48 publications

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“…A prototype version of the semi‐automatic tool to download and process remotely sensed data is available through a web platform—HydroGlobe (https://mygeohub.org/tools/hydroglobetool; A. Rajib et al, ). The newly developed SWAT source code to assimilate remotely sensed PET can be used in SWATShare (https://mygeohub.org/groups/water-hub/swatshare_landing; M. A. Rajib, Merwade, Kim, et al, ), which is a cyberinfrastructure for sharing, simulation, and visualization of SWAT models. Emails requesting necessary technical support can be directed to vmerwade@purdue.edu.…”

Section: Resultsmentioning

confidence: 99%

“…The remaining portion of the source code is kept unaltered such that the model can still follow its SMA architecture, including the P‐M equation for AET simulation that is linked with the input land use and the model's biophysical parameter database. The new source code is compatible both in Windows‐ and Linux‐based computer operating systems, along with other supporting software services such as SWAT‐CUP (Abbaspour, ) or high‐performance computing cyberinfrastructures such as SWATShare (M. A. Rajib, Merwade, Kim, et al, ).…”

Section: Methodsmentioning

confidence: 99%

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Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models

Rajib

Merwade

Yu³

2018

Water Resources Research

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The objective of this study is to systematically attribute sources of evapotranspiration uncertainty in a hydrologic model and accordingly propose a remote sensing‐based solution. Using Soil and Water Assessment Tool (SWAT) for three U.S. watersheds, representing different geophysical settings, this study first addresses the effects of parameter equifinality, energy‐related weather input uncertainty, and limited process representation on evapotranspiration simulation. Remotely sensed 8‐day total actual evapotranspiration (AET) from Moderate Resolution Imaging Spectroradiometer (MODIS) is used as a reference to evaluate the model outcome. Results indicate the likelihood of a pseudo‐accurate model showing high streamflow prediction skill despite severely erroneous spatiotemporal dynamics of AET. As a remedial measure, a hybrid daily potential evapotranspiration (PET) estimate, derived from MODIS, is directly ingested at each hydrologic response unit of the model to create a new configuration called SWAT‐PET. A key contribution is the modified SWAT source code that integrates the model (i.e., SWAT‐PET) with an automatic remote sensing data processor. The underlying notion is that remotely sensed PET works as a surrogate of actual vegetation dynamics, biophysical processes, and energy balance, without overruling the model's built‐in soil moisture accounting. Noticeably, increased accuracy of soil moisture, AET, and streamflow in SWAT‐PET, compared to independent sources of observations/reference estimates (i.e., field sensor, satellite, and gauge stations), approves the efficacy of the proposed approach toward improved physical consistency of hydrologic modeling. While the idea is tested for a past period, the ultimate goal is to improve near‐real‐time hydrologic forecasting once such PET estimates become available.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models

Rajib

Merwade

Yu³

2018

Water Resources Research

Self Cite

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“…[44,45]). Without relying on any local modeling or computational resources, users with interests in the same geographical area and larger-scope problem (Such as flooding) can use the platform for collaboration even if their end objectives differ from those of other users.…”

Section: Status Of Dss For Floodsmentioning

confidence: 99%

Toward generalized decision support systems for flood risk management

Muste

Firoozfar

2016

E3S Web Conf.

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Abstract. Despite the emergence of a large number of specialized decision-support systems (DSS) in the last decades, currently there are fewer efforts made for integrating the flood risk management relevant sciences with information and communication technologies into generalized DSS. Such systems are expected to formulate decision options for prevention, mitigation, preparation, response, and recovery from flood impacts with consideration of climate change, socio-HFRQRPLF HYROXWLRQ DQG VWDNHKROGHUV ¶ LQSXW &XUUHQWO\ WKHUH LV QR XQLILHG YLVLRQ RQ WKH DUFKLWHFWXUH components, and the needed computer and communications technologies for attaining generic DSS for flood mitigation and resilience. Moreover, there is no guidance of what components should be developed first and in what order and how to efficiently include human-computer interfaces for efficient stakeholder engagement and consensus. This paper calls for the formation of a strategic global partnership for framing and subsequently assisting in the development of a generalized flood DSS (FLOODSS) that can overcome the current flood DSS limitations. The call is preceded by a review of the flood decision-support terminology and context. Subsequently, an initial vision on the FLOODSS is outlined and the steps for transitioning such a system from vision to practice are proposed.

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“…In ongoing research, we are building interoperability with the external SWATShare system that focuses on SWAT model execution and visualization (Rajib et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…This SWAT model instance offers extended metadata elements that more fully describe SWAT model instances, but that are not directly applicable to other environmental models. The SWAT model instance was designed to be compatible with the SWATShare application, which is an interactive Web tool used to run, visualize, and interact with SWAT model instances (Rajib et al, 2016). The extended metadata elements for a SWAT model instance are shown in Figure 4.5, and the extended metadata elements are defined in Table 4.3.…”

Section: Model Program Resource Metadatamentioning

confidence: 99%

Cyberinfrastructure to Support Flood Modeling from Catchment to Regional Scales

Morsy

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Flooding events are projected to increase in frequency and intensity in coming years due to climate change. New tools and approaches are needed to assist decision makers in better understanding and addressing societal impacts due to flooding and how to mitigate these impacts.This research addressed three challenges related to flooding impacts: (i) better understanding how distributed stormwater infrastructure can mitigate flooding in urban catchments, (ii) designing and building spatially-detailed, real-time flood warning systems for emergency management purposes, and (iii) designing and building cyberinfrastructure to support reuse and transparency in both flood modeling and hydrologic modeling more broadly. The goal of this research was to address these challenges by conducting three studies. The second study explored building an automated cloud-based system for forecasting flooded roadway and bridge locations at a regional-scale. Because the study area has very low topographic relief, a two-dimensional (2D), computationally-expensive hydrodynamic model is required. This study demonstrated the ability of using instances in a public cloud with powerful graphical processing units (GPUs) to run a large (average of 4 million nodes) 2D hydrodynamic model in a time frame relevant to real-time emergency management applications. The steps required to build this system were (i) creating an automated workflow for obtaining and processing ii forecast rainfall data, (ii) running the 2D model in the cloud, (iii) using geospatial analysis tools to identify flooded bridges, and (iv) presenting the results online for decision makers. The system automates forecast data access and pre-processing, execution of a high-resolution 2D hydrodynamic model, and map-based visualization of model outputs using Amazon Web Services (AWS).The third study advanced approaches for sharing hydrologic models, such as the models created in this dissertation, through community supported cyberinfrastructure. Sharing models is important for scientific reproducibility, reuse, and fidelity. In this study, the first task was to design a metadata framework for hydrologic models that is flexible and applicable across the wide variety of models used by hydrologists. Then the study demonstrated the utility of this framework for sharing, publishing, and reusing models through an implementation within the HydroShare cyberinfrastructure system.In the first study, the results suggest that rain gardens with 30 cm berm heights and a total area equal to 20% of the impervious surfaces within the watershed should provide sufficient storage to mitigate flooding for rain events up to and including a 10 year return period storm event.The results also suggest approximately 15%, 27%, and 38% of the runoff generated from impervious surfaces should be diverted to the rain gardens to mitigate flooding from 2, 5, and 10 year return period storm events, respectively. Given prior work on the adoption of LID approaches for other watersheds, rain gardens could effectivel...

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SWATShare – A web platform for collaborative research and education through online sharing, simulation and visualization of SWAT models

Cited by 72 publications

References 48 publications

Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models

Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models

Toward generalized decision support systems for flood risk management

Cyberinfrastructure to Support Flood Modeling from Catchment to Regional Scales

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