Next Article in Journal
Numerical Simulations of the Impacts of Mountain on Oasis Effects in Arid Central Asia
Next Article in Special Issue
Evaluation of Analysis by Cross-Validation, Part II: Diagnostic and Optimization of Analysis Error Covariance
Previous Article in Journal
Inter-Building Effect and Its Relation with Highly Reflective Envelopes on Building Energy Use: Case Study for Cities of Japan
Previous Article in Special Issue
Characterization of Particulate Matter (PM2.5 and PM10) Relating to a Coal Power Plant in the Boroughs of Springdale and Cheswick, PA
Open AccessArticle

Overview of the Model and Observation Evaluation Toolkit (MONET) Version 1.0 for Evaluating Atmospheric Transport Models

by 1,2,* and 1,2
1
NOAA Air Resources Laboratory, College Park, MD 20740, USA
2
Cooperative Institute for Climate and Satellites, University of Maryland at College Park, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Atmosphere 2017, 8(11), 210; https://doi.org/10.3390/atmos8110210
Received: 16 June 2017 / Revised: 19 October 2017 / Accepted: 21 October 2017 / Published: 31 October 2017
(This article belongs to the Special Issue Air Quality Monitoring and Forecasting)
This paper describes the development and initial applications of the Model and Observation Evaluation Tool (MONET) v1.0. MONET was developed to evaluate the Community Multiscale Air Quality Model (CMAQ) for the NOAA National Air Quality Forecast Capability (NAQFC) modeling system. MONET is designed to be a modularized Python package for (1) pairing model output to observational data in space and time; (2) leveraging the pandas Python package for easy searching and grouping; and (3) analyzing and visualizing data. This process introduces a convenient method for evaluating model output. MONET processes data that is easily searchable and that can be grouped using meta-data found within the observational datasets. Common statistical metrics (e.g., bias, correlation, and skill scores), plotting routines such as scatter plots, timeseries, spatial plots, and more are included in the package. MONET is well modularized and can add further observational datasets and different models. View Full-Text
Keywords: CMAQ; evaluation; air quality; software; visualization; statistics CMAQ; evaluation; air quality; software; visualization; statistics
Show Figures

Figure 1

MDPI and ACS Style

Baker, B.; Pan, L. Overview of the Model and Observation Evaluation Toolkit (MONET) Version 1.0 for Evaluating Atmospheric Transport Models. Atmosphere 2017, 8, 210. https://doi.org/10.3390/atmos8110210

AMA Style

Baker B, Pan L. Overview of the Model and Observation Evaluation Toolkit (MONET) Version 1.0 for Evaluating Atmospheric Transport Models. Atmosphere. 2017; 8(11):210. https://doi.org/10.3390/atmos8110210

Chicago/Turabian Style

Baker, Barry; Pan, Li. 2017. "Overview of the Model and Observation Evaluation Toolkit (MONET) Version 1.0 for Evaluating Atmospheric Transport Models" Atmosphere 8, no. 11: 210. https://doi.org/10.3390/atmos8110210

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop