Tags: Modeling

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  1. A Rotated Staggered Grid (RSG) finite-difference elastic wave solver based on Devito

    2023-11-14 14:24:05 | Datasets | Contributor(s): Oumeng Zhang, Douglas R Schmitt | doi:10.4231/R8N7-HX28

    An Optimized Rotated Staggered Grid (RSG) finite-difference elastic wave solver for modeling 2D/3D seismic wave propagation in complex anisotropic media, based on the open-source Python finite-difference package, Devito.

    https://purr.purdue.edu/publications/4393

  2. Data and Code for: Quantifying oxythermal fish habitat quality in a large freshwater ecosystem

    2023-06-27 02:49:34 | Datasets | Contributor(s): Joshua M. Tellier, Tomas O. Hook, Paris D. Collingsworth | doi:10.4231/4KBY-0M13

    A model was developed to quantify fish habitat quality in the central basin of Lake Erie through time in response to ambient temperature and dissolved oxygen.

    https://purr.purdue.edu/publications/4317

  3. Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)

    2022-05-06 01:20:54 | Datasets | Contributor(s): Daniel Robert Chavas | doi:10.4231/3FQ4-1E11

    Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.

    https://purr.purdue.edu/publications/3995

  4. Arequipa Climate Maps - Yearly, Monthly and Daily

    2021-09-08 19:48:30 | Datasets | Contributor(s): Andre Geraldo Moraes, Laura C Bowling, Carlos Zeballos Velarde, Keith A Cherkauer | doi:10.4231/QCN0-BB65

    Arequipa Climate Maps – Yearly, Monthly and Daily (ACM-YMD), contains 30 years (1988-2017) of annual, monthly and daily gridded climate maps based on daily precipitation, and maximum and minimum air temperature for the Arequipa Department in Peru.

    https://purr.purdue.edu/publications/3378

  5. Arequipa Climate Maps – Normals

    2021-09-08 19:45:22 | Datasets | Contributor(s): Andre Geraldo de Lima Moraes, Laura C Bowling, Carlos Renzo Zeballos Velarde, Keith A Cherkauer | doi:10.4231/JNBK-ZK34

    Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation for the Arequipa department in Peru.

    https://purr.purdue.edu/publications/3212

  6. Reliable Vehicle to Vehicle Communication Networks: Applications in Fuel-Efficient Platooning

    2021-03-17 21:27:16 | Datasets | Contributor(s): Sridhar Lakshmanan, Timothy Kleinow, Paul Richardson, Paul Watta | doi:10.4231/3X2D-TJ90

    An investigation into the ability of Cellular Vehicle-to-Everything (CV2X) and Dedicated Short-Range Communication (DSRC) systems to accurately send and receive data between vehicles which have lost their line-of-sight (LOS) due to occluding...

    https://purr.purdue.edu/publications/3722

  7. Arequipa Climate Maps - Yearly, Monthly and Daily

    2020-05-29 15:02:34 | Datasets | Contributor(s): Andre Geraldo Moraes, Laura C Bowling, Carlos Zeballos Velarde, Keith A Cherkauer | doi:10.4231/QCN0-BB65

    Arequipa Climate Maps – Yearly, Monthly and Daily (ACM-YMD), contains 30 years (1988-2017) of annual, monthly and daily gridded climate maps based on daily precipitation, and maximum and minimum air temperature for the Arequipa Department in Peru.

    https://purr.purdue.edu/publications/3378

  8. Arequipa Climate Maps – Normals

    2019-12-18 20:44:28 | Datasets | Contributor(s): Andre Geraldo de Lima Moraes, Laura C Bowling, Carlos Renzo Zeballos Velarde, Keith A Cherkauer | doi:10.4231/JNBK-ZK34

    Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation for the Arequipa department in Peru.

    https://purr.purdue.edu/publications/3212

  9. Global Methane Fluxes from Wetland using Mechanistically-based Biogeochemistry Model

    2019-08-22 16:25:17 | Datasets | Contributor(s): Licheng Liu, Qianlai Zhuang | doi:10.4231/W1M6-4651

    Methane flux output from Terrestrial Ecosystem Model and Methane Dynamics Model (TEM-MDM) and data used in visualization.

    https://purr.purdue.edu/publications/3247

  10. Three Dynamical Evolution Regimes for Coupled Ring-Satellite Systems and Implications for the Formation of the Uranian Satellite Miranda

    2018-05-01 14:45:22 | Datasets | Contributor(s): Andrew Hesselbrock, David Minton | doi:10.4231/R7DR2SP6

    Coupled ring-satellite systems fall into three distinct dynamical regimes, “Boomerang,” “Non-Boomerang,” and “Torque-Dependent.” This publication includes data to reproduce figures as well as the version of RING-MOONS used to produce all data.

    https://purr.purdue.edu/publications/2972

  11. Daedalus

    2015-08-18 23:55:51 | Datasets | Contributor(s): Courtney Falk, Austin J. Klasa | doi:10.4231/R7SX6B5R

    Public cloud risk assessment tool.

    https://purr.purdue.edu/publications/1968

  12. Energy Systems Engineering

    Energy Systems Engineering

    https://purr.purdue.edu/groups/energy_systems_engineering

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