The WDC provides data services to the hydrologic science community and other critical-zone science communities that require access to various sources of water data to perform research on fundamental challenges in hydrology and Earth System science. Founded in 2001, the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is a 501(c)3 research organization representing more than 120 U.S. universities and international water science-related organizations.
Showing posts with label bayesian. Show all posts
Showing posts with label bayesian. Show all posts
Monday, April 15, 2013
Video: A Modular, Open-Sourced Software for the Method of Anchored Distributions
Last week's HIS Cyberseminar, which discussed the Method of Anchored Distributions (MAD) software, is now available to view online. Developed as both a HydroDesktop plugin and a standalone application, this software is used for characterizing uncertainty in model parameters. Watch the full video below:
Tuesday, April 9, 2013
Tomorrow: A Modular, Open-Sourced Software for the Method of Anchored Distributions
Join us tomorrow, April 10, 2013 at 3 PM (Eastern) for the next HIS Cyberseminar, which will discuss a software development partnership between researchers at the University of California, Berkeley and Brigham Young University. Here is an abstract:
Title: A Modular, Open-Sourced Software for the Method of
Anchored Distributions
Authors: Daniel P. Ames1, Matthew W. Over2,
Carlos A. M. Osorio1, Yoram Rubin2
1 Brigham Young University, Department of Civil
& Environmental Engineering, Provo, UT
2University of California, Department of Civil
& Environmental Engineering, Berkeley, CA
The Method of Anchored Distributions software (in construction) is an extension to HydroDesktop for characterizing uncertainty in model parameters. The software is designed to supplement the search and discovery of data with a suite of Bayesian statistical analysis tools. The method is generally applicable and should support characterization of model parameters in a variety of scientific areas – current efforts are largely focused in subsurface hydrology, but new applications areas are a high priority. The software is designed to be generically compatible with other numerical simulation and analysis tools to permit even greater utility for future users. Our presentation will feature a brief summary of the Bayesian theory, a demonstration and discussion of a MAD application using the software, and an overview of the software architecture as well as development plans.
To attend, follow the link and dial into the conference line listed below:
Conference Line: (866) 244-8528
Participant Code: 391191
Once you have connected to the conference line, you will be prompted for the participant code.
Once you have connected to the conference line, you will be prompted for the participant code.
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