Mesoscale Meteorological Model Evaluation Techniques with Emphasis on Needs of Air Quality Models

1994 ◽  
pp. 47-58 ◽  
Author(s):  
Steven R. Hanna
Keyword(s):  
Air Quality ◽  
Model Evaluation ◽  
Meteorological Model ◽  
Quality Models ◽  
Mesoscale Meteorological Model ◽  
Evaluation Techniques

scholarly journals Pattern-Based Evaluation of Coupled Meteorological and Air Quality Models

2010 ◽  
Vol 49 (10) ◽  
pp. 2077-2091 ◽  
Author(s):  
Scott Beaver ◽  
Saffet Tanrikulu ◽  
Ahmet Palazoglu ◽  
Angadh Singh ◽  
Su-Tzai Soong ◽  
...  
Keyword(s):  
Air Quality ◽  
San Francisco ◽  
Model Evaluation ◽  
Clustering Algorithm ◽  
Surface Wind ◽  
Major Advance ◽  
Evaluation Technique ◽  
Meteorological Model ◽  
Quality Models ◽  
Weather Patterns

Abstract A novel pattern-based model evaluation technique is proposed and demonstrated for air quality models (AQMs) driven by meteorological model (MM) output. The evaluation technique is applied directly to the MM output; however, it is ultimately used to gauge the performance of the driven AQM. This evaluation of AQM performance based on MM performance is a major advance over traditional evaluation methods. First, meteorological cluster analysis is used to assign the days of a historical measurement period among a small number of weather patterns having distinct air quality characteristics. The clustering algorithm groups days sharing similar empirical orthogonal function (EOF) representations of their measurements. In this study, EOF analysis is used to extract space–time patterns in the surface wind field reflecting both synoptic and mesoscale influences. Second, simulated wind fields are classified among the determined weather patterns using the measurement-derived EOFs. For a given period, the level of agreement between the observation-based clustering labels and the simulation-based classification labels is used to assess the validity of the simulation results. Mismatches occurring between the two sets of labels for a given period imply inaccurately simulated conditions. Moreover, the specific nature of a mismatch can help to diagnose the downstream effects of improperly simulated meteorological fields on AQM performance. This pattern-based model evaluation technique was applied to extended simulations of fine particulate matter (PM2.5) covering two winter seasons for the San Francisco Bay Area of California.

Overview of the atmospheric model evaluation tool (AMET) v1.1 for evaluating meteorological and air quality models

2011 ◽  
Vol 26 (4) ◽  
pp. 434-443 ◽  
Author(s):  
K. Wyat Appel ◽  
Robert C. Gilliam ◽  
Neil Davis ◽  
Alexis Zubrow ◽  
Steven C. Howard
Keyword(s):  
Air Quality ◽  
Model Evaluation ◽  
Atmospheric Model ◽  
Evaluation Tool ◽  
Quality Models

scholarly journals Technical Note – AQMEII4 Activity 1: Evaluation of Wet and Dry Deposition Schemes as an Integral Part of Regional-Scale Air Quality Models

2021 ◽  
Author(s):  
Stefano Galmarini ◽  
Paul Makar ◽  
Olivia Clifton ◽  
Christian Hogrefe ◽  
Jesse Bash ◽  
...  
Keyword(s):  
Air Quality ◽  
Dry Deposition ◽  
Model Evaluation ◽  
Regional Scale ◽  
Technical Note ◽  
Air Pollutant ◽  
Evaluation Activity ◽  
Quality Models ◽  
Wet And Dry Deposition ◽  
Regional Air Quality

Abstract. We present in this technical note the research protocol for Phase 4 of the Air Quality Model Evaluation International Initiative (AQMEII4). This research initiative is divided in two activities, collectively having three goals: (i) to define the current state of the science with respect to representations of wet and especially dry deposition in regional models, (ii) to quantify the extent to which different dry deposition parameterizations influence retrospective air pollutant concentration and flux predictions, and (iii) to identify, through the use of a common set of detailed diagnostics, sensitivity simulations, model evaluation, and reducing input uncertainty, the specific causes for the current range of these predictions. Activity 1 is dedicated to the diagnostic evaluation of wet and dry deposition processes in regional air quality models (described in this paper), and Activity 2 to the evaluation of dry deposition point models against ozone flux measurements at multiple towers with multiyear observations (Part 2). The scope of these papers is to present the scientific protocols for AQMEII4, as well to summarize the technical information associated with the different dry deposition approaches used by the participating research groups of AQMEII4. In addition to describing all common aspects and data used for this multi-model evaluation activity, most importantly, we present the strategy devised to allow a common process-level comparison of dry deposition obtained from models using sometimes very different dry deposition schemes. The strategy is based on adding detailed diagnostics to the algorithms used in the dry deposition modules of existing regional air quality models, in particular archiving land use/land cover (LULC)-specific diagnostics and creating standardized LULC categories to facilitate cross-comparison of LULC-specific dry deposition parameters and processes, as well as archiving effective conductance and effective flux as means for comparing the relative influence of different pathways towards the net or total dry deposition. This new approach, along with an analysis of precipitation and wet deposition fields, will provide an unprecedented process-oriented comparison of deposition in regional air-quality models. Examples of how specific dry deposition schemes used in participating models have been reduced to the common set of comparable diagnostics defined for AQMEII4 are also presented.

scholarly journals Four-dimensional evaluation of regional air quality models

2013 ◽  
Vol 6 (1) ◽  
pp. 521-584
Author(s):  
E. Solazzo ◽  
R. Bianconi ◽  
G. Pirovano ◽  
M. D. Moran ◽  
R. Vautard ◽  
...  
Keyword(s):  
Air Quality ◽  
Model Evaluation ◽  
Regional Scale ◽  
Measurement Data ◽  
High Sensitivity ◽  
Air Quality Model ◽  
Quality Model ◽  
Quality Models ◽  
Time Space ◽  
Regional Air Quality

Abstract. The evaluation of regional air quality models is a challenging task, not only for the intrinsic complexity of the topic but also in view of the difficulties in finding sufficiently abundant, harmonized and time/space-well-distributed measurement data. This study, conducted in the framework of AQMEII (Air Quality Model Evaluation International Initiative), evaluates 4-D model predictions obtained from 15 modelling groups and relating to the air quality of the full year of 2006 over the North American and European continents. The modelled variables are ozone, CO, wind speed and direction, temperature, and relative humidity. Model evaluation is supported by the high quality in-flight measurements collected by instrumented commercial aircrafts in the context of the MOZAIC programme. The models are evaluated at five selected domains positioned around major airports, four in North America (Portland, Philadelphia, Atlanta, Dallas) and one in Europe (Frankfurt). Due to the extraordinary scale of the exercise (number of models and variables, spatial and temporal extent), this study is primarily aimed at illustrating the potential for using MOZAIC data for regional-scale evaluation and the capabilities of models to simulate concentration and meteorological fields in the vertical rather than just at the ground. We apply various approaches, metrics, and methods to analyze this complex dataset. Results of the investigation indicate that, while the observed meteorological fields are modelled with some success, modelling CO in and above the boundary layer remains a challenge and modelling ozone also has room for significant improvement. We note, however, that the high sensitivity of models to height, season, location, and metric makes the results rather difficult to interpret and to generalize. With this work, though, we set the stage for future process-oriented and in-depth diagnostic analyses.

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