Model:Reservoir

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Reservoir

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Single Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 1D Spatial extent Point-Based Model domain Hydrology One-line model description Reservoir: Tools for Analysis, Design, and Operation of Water Supply Storages Extended model description Measure single reservoir performance using resilience, reliability, and vulnerability metrics; compute storage-yield-reliability relationships; determine no-fail Rippl storage with sequent peak analysis; optimize release decisions using determinisitc and stochastic dynamic programming; evaluate inflow characteristics. Keywords: Reservoir, Water storage yield, Name Sean Turner Type of contact Model developer Institute / Organization Pacific Northwest National Lab Postal address 1 Postal address 2 Town / City Seattle Postal code -- State Washington Country United States Email address sean.turner@pnnl.gov Phone Fax Supported platforms Unix, Linux, Mac OS, Windows Other platform Programming language Other program language R Code optimized Single Processor Multiple processors implemented Nr of distributed processors Nr of shared processors Start year development 2015 Does model development still take place? No If above answer is no, provide end year model development Code development status Only maintenance When did you indicate the 'code development status'? 2020 Model availability As code Source code availability (Or provide future intension) Through web repository Source web address https://github.com/swd-turner/reservoir Source csdms web address Program license type GPL v2 Program license type other Memory requirements -- Typical run time -- Describe input parameters The Rippl function executes the sequent peak algorithm to determine the no-fail storage for given inflow and release time series. The storage function gives the design storage for a specified timebased reliability and yield. Similarly, the yield function computes yield given the storage capacity. The rrv function returns three reliability measures, relilience, and dimensionless vulnerability for given storage, inflow time series, and target release. Users can assume Standard Operating Policy, or can apply the output of sdp analysis to determine the RRV metrics under different operating objectives. The Hurst function estimates the Hurst coefficient for an annualized inflow time series. Input format ASCII Other input format Describe output parameters The no-fail storage capacity and corresponding storage behaviour time series. Output format ASCII Other output format Pre-processing software needed? No Describe pre-processing software Post-processing software needed? No Describe post-processing software Visualization software needed? No If above answer is yes Other visualization software Describe processes represented by the model -- Describe key physical parameters and equations -- Describe length scale and resolution constraints -- Describe time scale and resolution constraints -- Describe any numerical limitations and issues -- Describe available calibration data sets Upload calibration data sets if available: Describe available test data sets Upload test data sets if available: Describe ideal data for testing Do you have current or future plans for collaborating with other researchers? Is there a manual available? Yes Upload manual if available: Media:Reservoir-manual2015.pdf Model website if any https://cran.r-project.org/web//packages/reservoir/ Model forum / discussion board Comments This part will be filled out by CSDMS staff OpenMI compliant No but possible BMI compliant No but possible WMT component No but possible PyMT component Is this a data component Can be coupled with:

Model info Authors Sean Turner Source code Go to external source code site Model citations Nr. of publications: -- Total citations: 0 h-index: --"--" is not a number. m-quotient: 0 QR-code Link to this page Other models by author Reservoir

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