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ensemble-verification-system download for Windows

Free download ensemble-verification-system Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named ensemble-verification-system whose latest release can be downloaded as EVS_5.10.zip. It can be run online in the free hosting provider OnWorks for workstations.

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Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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ensemble-verification-system


DESCRIPTION

The Ensemble Verification System (EVS) is designed to verify ensemble forecasts of hydrologic and hydrometeorological variables, such as temperature, precipitation, and streamflow, issued at discrete forecast locations (points or areas).



Features

  • Pairing of observed and ensemble forecast values, which may be provided in a variety of file formats (e.g. XML, NetCDF, ASCII), to perform verification for a given forecast point or area.
  • Computation of multiple verification metrics for arbitrary numeric forecast variables (e.g. precipitation, temperature, streamflow, river stage) at a single forecast point or area. The verification metrics are computed for each of the forecast lead times available.
  • Verification metrics for the ensemble average (mean, median, mode) include: correlation coefficient; mean error; relative mean error; root mean square error; and mean absolute error.
  • Verification metrics for the ensemble and associated probabilities include: Brier Score and decompositions; Continuous Ranked Probability Score and decompositions; Brier Skill Score; Continuous Ranked Probability Skill Score; Reliability Diagram; Rank Histogram; Relative Operating Characteristic; and Relative Operating Characteristic score.
  • Conditional verification based on time (e.g. season; forecast initialization time; forecast lead time) and variable values (e.g. thresholds of the observed or forecast variables or related variables).
  • Generation of confidence intervals for the verification metrics through bootstrap resampling of the verification pairs (stationary block bootstrap).
  • Aggregation in time and space to establish aggregate quality over longer periods and larger areas.
  • Generation of graphical and numerical outputs, which can be displayed in an internal viewer and exported in a variety of file formats (e.g. PNG, JPEG, SVG).
  • Connectivity to the R environment for statistical computing.


This is an application that can also be fetched from https://sourceforge.net/projects/ensemble-verification-system/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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