MET Online Tutorial for METv3.0

Introduction: General

Introduction

Model Evaluation Tools (MET) is a highly configurable, state-of-the-art suite of verification tools designed for the verification and evaluation of numerical weather forecasts. Although MET was developed at the Developmental Testbed Center (DTC) to be used with the Weather Research and Forecasting (WRF) modeling system, the data formats and standards used allow MET to be run on the output of other modeling systems as well.

The current MET capabilities include traditional verification approaches for standard surface and upper air variables; confidence intervals for most verification measures; spatial forecast verification methods; and ensemble verification methods. The MET package is designed to be modular and flexible. Each tool can be run individually without running the entire set of tools. New tools can easily be added to the MET package due to this modular design.

Future MET development will take into account the needs of the NWP community - including operational centers and the research and development community.

Software Requirements

The following are required to build and run MET:
  • C, C++, and Fortran-77 compilers all from the same family (recommend GNU, PGI, Intel, or IBM compilers)
  • The UNIX make (GNU make) utility
  • NCEP's BUFRLIB for decoding point observations in PrepBufr format
  • Unidata's NetCDF library
  • The GNU Scientific Library (GSL)
  • The F2C or G2C library (not necessary for most compilers)

Additional Recommended Software

Although none of the following utilities are required to run MET, they may be helpful in preparing data for use in MET:

Program Flow

MET consists of a set of verification tools run from the command line. The current MET tools perform the following verification techniques:
  • Compare a gridded forecast to point observations using the PB2NC and/or ASCII2NC tools and the Point-Stat tool.
  • Compare a gridded forecast to a gridded analysis field using the Grid-Stat tool and, optionally, the PCP-Combine tool.
  • Compare an ensemble of gridded forecasts to point and/or gridded observations using the PB2NC and/or ASCII2NC tools and the Ensemble-Stat tool.
  • Apply an object-based verification approach to a gridded forecast and gridded analysis field using the MODE tool and, optionally, the PCP-Combine tool.
  • Apply an intensity-scale decomposition verification approach to a gridded forecast and gridded analysis field using the Wavelet-Stat tool and, optionally, the PCP-Combine tool.
  • Aggregate results across many cases using the Stat-Analysis and MODE-Analysis tools.

Documentation

MET Users Documentation consists of a detailed user's guide, slides from previous tutorials, and related white papers. Users are strongly encouraged to download and read the MET Users Guide before they start using MET.