Showing 4 open source projects for "calibration"

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    open_data_assimilation
    Generic data-assimilation toolbox written in java, with native (c and fortran) libraries for high performance computing. Provides tools to couple to your own model and a wide range of algorithms, ranging from parameter calibration to Kalman filters.
    Downloads: 0 This Week
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  • 2

    HYPE

    hydrological model for simulation of water and water quality over time

    Please go to project home (https://hypeweb.smhi.se/model-water/) or wiki-pages (http://hype.smhi.net/wiki/doku.php?id=start) for more information. The hydrological model HYPE is developed at the Swedish Meteorological and Hydrological Institute (SMHI). The model simulates water, nutrients and other substances in small and large river catchments. Included in the project is HYSS, which is needed to run the model. It handles input and output and the simuation over time.
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    Downloads: 18 This Week
    Last Update:
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  • 3
    MieConScat
    ...It was initially developed to aid work with optical particle counters (OPC) especially when CONverting data between cross section and diameter space. These methods are described in Rosenberg et al. 2012, Particle sizing calibration with refractive index correction for light scattering optical particle counters and impacts upon PCASP and CDP data collected during the Fennec campaign and CDP data collected during the Fennec campaign, http://www.atmos-meas-tech.net/5/1147/2012/amt-5-1147-2012.html
    Downloads: 2 This Week
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  • 4
    EDM Calibration Baseline Fitting

    EDM Calibration Baseline Fitting

    EDMFit is an adjustment tool to estimate EDM calibration parameters.

    An EDM calibration baseline is used to derive specific instrument errors of the electronic distance measurement (EDM) unit of a total station. EDMFit is a simple adjustment tool to estimate the EDM calibration parameters (addition constant and/or scale parameter). The adjustment process is according to ISO 17123-4. The parameters are checked for significance, to avoid an overestimation.
    Downloads: 0 This Week
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