Item talk:Q228251
From geokb
{
"@context": "http://schema.org/", "@type": "WebPage", "additionalType": "Project", "url": "https://www.usgs.gov/centers/upper-midwest-water-science-center/science/tc-chamberlin-modeling-center", "headline": "TC Chamberlin Modeling Center", "datePublished": "March 28, 2019", "author": [ { "@type": "Person", "name": "Randall J Hunt, Ph.D.", "url": "https://www.usgs.gov/staff-profiles/randall-j-hunt", "identifier": { "@type": "PropertyValue", "propertyID": "orcid", "value": "0000-0001-6465-9304" } }, { "@type": "Person", "name": "Michael N Fienen", "url": "https://www.usgs.gov/staff-profiles/michael-n-fienen", "identifier": { "@type": "PropertyValue", "propertyID": "orcid", "value": "0000-0002-7756-4651" } } ], "description": [ { "@type": "TextObject", "text": "SOFTWARE DEVELOPED:" }, { "@type": "TextObject", "text": "The TC Chamberlin Modeling Center is a founding partner of the USGS Advanced Computing Cooperative (ACC). The ACC provides one-stop access to advanced computing so that no work is limited by a lack of computer power. The TC Chamberlin Modeling Center is funded in part by the Core Science Systems Mission Area of the USGS to provide access to computer hardware and assistance for moving problems from local desktops to larger systems. Depending on the needs of the modeler, assistance can include implementing powerful new computational and analytical techniques, and training others in the skills needed for future modeling projects. Within the larger ACC, the TC Chamberlin Modeling Center also develops, tests, and disseminates state-of-the-art techniques and tools so that models are more effectively applied to today\u2019s decision-making. Use the contact information on the overview tab to start the process to move your problem to advanced computing." }, { "@type": "TextObject", "text": "Problem\nModeling has become the language of quantitative scientific problem solving. Yet increases in computing power, parallel computing, and the availability of diverse sources of data have increased the complexity of models, and training on these new capabilities has not kept pace. As a result, it has become impractical for practitioners to develop expertise in the wide-ranging aspects of parallel computing, software customization, modeling, calibration, and uncertainty analysis." }, { "@type": "TextObject", "text": "Objectives" }, { "@type": "TextObject", "text": "The TC Chamberlin Modeling Center has assisted projects throughout the world, including: Alabama, Arkansas, Arizona, California, Colorado, Connecticut, Florida, Hawaii, Illinois, Iowa, Maine, Massachusetts, Michigan, Minnesota, Mississippi, Montana, Nebraska, Nevada, North Dakota, Oregon, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Washington, Wisconsin, Wyoming, the Great Lakes Basin, Native American tribes, Australia, Denmark, and Canada. Past work focuses primarily on water issues but also includes a range of models - from temperature to pathogens to populations. Examples of some of this work are shown in the figures on the right, along with some of our key publications." }, { "@type": "TextObject", "text": "BOOKS:" }, { "@type": "TextObject", "text": "Examples of Advanced Computing" }, { "@type": "TextObject", "text": "A complex natural world means that there can never be certain that a simple representation such as a model captures its important characteristics. One way to handle uncertainty is to run a model many times where each run has slightly different model input. When finished, the runs can be summarized to identify which outcomes are likely and which are not. Likewise, visualization of model results can be importing for efficiently conveying what the many hours of model runs produced. Examples of these types of advanced computing outputs are shown here." }, { "@type": "TextObject", "text": "The TC Chamberlin Modeling Center provides one-stop access to advanced computing so no project is limited by a lack of computer power. The Center can provide hardware access, assistance with migration and implementation, and training. We also develop, test, and disseminate state-of-the-art computational and analytical techniques and tools so models can be more effectively used in decision-making." }, { "@type": "TextObject", "text": "GUIDELINES AND SUGGESTED PRACTICES:" } ], "funder": { "@type": "Organization", "name": "Upper Midwest Water Science Center", "url": "https://www.usgs.gov/centers/upper-midwest-water-science-center" }, "about": [ { "@type": "Thing", "name": "Geology" }, { "@type": "Thing", "name": "Environmental Health" }, { "@type": "Thing", "name": "Groundwater / Surface-Water Interaction" }, { "@type": "Thing", "name": "Parameter estimation" }, { "@type": "Thing", "name": "Model calibration" }, { "@type": "Thing", "name": "Uncertainty analysis" }, { "@type": "Thing", "name": "sustainability" }, { "@type": "Thing", "name": "Geospatial Analysis and Mapping" }, { "@type": "Thing", "name": "Energy" }, { "@type": "Thing", "name": "Methods and Analysis" }, { "@type": "Thing", "name": "Information Systems" }, { "@type": "Thing", "name": "Water Sustainability" }, { "@type": "Thing", "name": "Prediction and Modeling" }, { "@type": "Thing", "name": "Methods and Analyses" }, { "@type": "Thing", "name": "Advanced Capabilities and Research" }, { "@type": "Thing", "name": "Water" }, { "@type": "Thing", "name": "Science Technology" }, { "@type": "Thing", "name": "forecasting" } ]
}