Foreword: A note to MET users
This User’s Guide is provided as an aid to users of the Model Evaluation Tools Express (METexpress). METexpress is an easy-to-use interface that displays plots of statistical verification metrics for data that a user defines interactively. It was developed by NOAA/Global Systems Laboratory the Developmental Testbed Center (DTC) as part of the METplus suite of verification tools. It is also the core component of the unified METplus verification framework. More details about METplus can be found on the METplus website.
It is important to note here that METexpress is an evolving software package. This documentation describes the 4.4.0 release dated 20220325. METexpress may be able to accept contributions from the community. If you have code you would like to contribute, we will gladly consider your contribution. Please send an email to: email@example.com. We will then determine if we will be able to include the contribution in a future version.
Copyright 2022, UCAR/NCAR, NOAA, CSU/CIRA, and CU/CIRES Licensed under the Apache License, Version 2.0 (the “License”); You may not use this file except in compliance with the License.
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Pierce, R., M. Smith, I. McGinnis, K. Searight, J. Hamilton, B. Strong, V. Hagerty, 2022: The METexpress Version 4.4.0 User’s Guide. Developmental Testbed Center. Available at: https://github.com/dtcenter/METexpress/releases
We thank all the METexpress sponsors including: Next Generation Global Prediction System (NGGPS), Unified Forecast System (UFS) R2O Project, Developmental Testbed Center, and NOAA/Global Systems Laboratory (GSL). Thanks also go to the staff at the Developmental Testbed Center for their help, advice, and many types of support, to NOAA/NWS/Environmental Modeling Center (EMC) for their input and review, and to Ken Sperow of NOAA/NWS/Meteorological Development Laboratory for assistance with deploying METexpress in the cloud on Amazon Web Services.