Essential Terrestrial Variable data workflows for distributed water resources modeling

Leonard, Lorne; Duffy, Christopher

doi:10.1016/j.envsoft.2013.09.003

Cited by 38 publications

(31 citation statements)

References 14 publications

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“…Gridded time-series data capture retrospective meteorological drivers (Mesinger et al, 2006;Mitchell et al, 2004) or predictions for future climate (Hostetler et al, 2011;Wilby et al, 2000) for large numbers of lakes. There are tremendous opportunities to leverage these environmental Big Data for a better understanding of the local context of lakes (e.g., Soranno et al, 2010), and broad-scale hydroclimatic interactions (e.g., Kucharik et al, 2000;Leonard and Duffy, 2013). Coupling mechanistic modeling with big data may provide means to assess among-lake diversity of lake responses to climate.…”

Section: Introductionmentioning

confidence: 99%

Simulating 2368 temperate lakes reveals weak coherence in stratification phenology

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Winslow

Hansen

et al. 2014

Ecological Modelling

118

116

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a b s t r a c tChanges in water temperatures resulting from climate warming can alter the structure and function of aquatic ecosystems. Lake-specific physical characteristics may play a role in mediating individual lake responses to climate. Past mechanistic studies of lake-climate interactions have simulated generic lake classes at large spatial scales or performed detailed analyses of small numbers of real lakes. Understanding the diversity of lake responses to climate change across landscapes requires a hybrid approach that couples site-specific lake characteristics with broad-scale environmental drivers. This study provides a substantial advancement in lake ecosystem modeling by combining open-source tools with freely available continental-scale data to mechanistically model daily temperatures for 2368 Wisconsin lakes over three decades . The model accurately predicted observed surface layer temperatures (RMSE: 1.74 • C) and the presence/absence of stratification (81.1% agreement). Among-lake coherence was strong for surface temperatures and weak for the timing of stratification, suggesting individual lake characteristics mediate some -but not all -ecologically relevant lake responses to climate.Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

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Section: Introductionmentioning

confidence: 99%

Simulating 2368 temperate lakes reveals weak coherence in stratification phenology

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Winslow

Hansen

et al. 2014

Ecological Modelling

118

116

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“…PIHM is a modeling system developed by hydrologists at Penn State to model the internal dynamics of watersheds (Qu & Duffy, 2007;Kumar, 2009;Kumar, Bhatt, & Duffy, 2009;Leonard & Duffy, 2013). Unlike many other hydrological models that provide only the inflow and outflow to the system, PIHM simulates spatially distributed physical hydrologic processes for entire drainage basins.…”

Section: Penn State Integrated Hydrological Modelmentioning

confidence: 99%

“…Data are assigned within each prism to model the flow and complex interplay of surface water, groundwater, soil moisture, and vegetation type with parameters estimated from national and local data sets (Qu & Duffy, 2007;French, Duffy, & Bhatt, 2012;Leonard & Duffy, 2013). Each triangle is projected vertically downward from the surface to create a prism.…”

Section: Penn State Integrated Hydrological Modelmentioning

confidence: 99%

“…In this study, we use PIHM to simulate plausible scenarios of the surface and subsurface flow regimes of the island hydrology based on estimated parameters from national soil and surface geologic data sets (see Leonard & Duffy, 2013). Site-specific streamflow and groundwater data are limited on the island, preventing their use for calibration.…”

Section: Penn State Integrated Hydrological Modelmentioning

confidence: 99%

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Hydrological Modeling and Prehistoric Settlement on Santa Rosa Island, California, USA

et al. 2016

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Fresh water availability was an important variable that influenced prehistoric human settlement on California's northern Channel Islands. Previous attempts to understand settlement on the islands use watershed size as a proxy for water at canyon mouths. In semi‐arid regions, this approach has limitations because streams may lose much or all of their flow to groundwater. We developed a distributed hydrological model for Santa Rosa Island that incorporates geospatial and temporal data for climate (precipitation, solar radiation, wind speed, relative humidity, temperature), soils, vegetation, and topography to simulate the complex land‐surface‐groundwater behavior of island hydrology for hypothetical wet, dry, and median centuries. Our simulations show that water flow is greatest in drainages on the northwest and east coasts of the island. This correlates with some of the earliest and most persistent settlement on the island. During the most extreme droughts of the last 2000 years during the Medieval Climatic Anomaly (1150–600 cal BP), island populations contracted to a small number of large coastal villages. We argue that this was related in part to the greater availability of surface water at these locations. This study expands the theoretical and methodological scope of past studies that have applied hydrological simulation to archaeological investigations.

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“…From the application workflow of PIHM, who/what/when/where/why/how about research on PIHM are usually demonstrated, and the readers could decide if PIHM is appropriate for their research. The source code of PIHM was made freely available since the first version, as well as corresponding cyberinfrastructures [ Yu et al ., ] (e.g., data acquisition [ Leonard and Duffy , , , ]). Therefore, we expected that PIHM would be learned and used independently by many others.…”

Section: Introductionmentioning

confidence: 99%

Open science in practice: Learning integrated modeling of coupled surface‐subsurface flow processes from scratch

Duffy

Rousseau

et al. 2016

Earth and Space Science

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Integrated modeling of coupled surface-subsurface flow and ensuing role in diverse Earth system processes is of current research interest to characterize nonlinear rainfall-runoff response and also to understand land surface energy balances, biogeochemical processes, geomorphological dynamics, etc. A growing number of complex models have been developed for water-related research, and many of these are made available to the Earth science community. However, relatively few resources have been made accessible to the potentially large group of Earth science and engineering users. New users have to invest an extraordinary effort to study the models. To provide a stimulating experience focusing on the learning curve of integrated modeling of coupled surface-subsurface flow, we describe use cases of an open source model, the Penn State Integrated Hydrologic Model, PIHM. New users were guided through data processing and model application by reproducing a numerical benchmark problem and a real-world watershed simulation. Specifically, we document the PIHM application and its computational workflow to enable intuitive understanding of coupled surface-subsurface flow processes. In addition, we describe the user experience as important evidence of the significance of reusability. The interaction shows that documentation of data, software, and computational workflow in research papers is a promising method to foster open scientific collaboration and reuse. This study demonstrates how open science practice in research papers would promote the utility of open source software. Addressing such open science practice in publications would promote the utility of journal papers. Further, popularization of such practice will require coordination among research communities, funding agencies, and journals.

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Essential Terrestrial Variable data workflows for distributed water resources modeling

Cited by 38 publications

References 14 publications

Simulating 2368 temperate lakes reveals weak coherence in stratification phenology

Simulating 2368 temperate lakes reveals weak coherence in stratification phenology

Hydrological Modeling and Prehistoric Settlement on Santa Rosa Island, California, USA

Open science in practice: Learning integrated modeling of coupled surface‐subsurface flow processes from scratch

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