Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown

Atmospheric Chemistry and Physics
Efisio SolazzoStefano Galmarini

Abstract

Through the comparison of several regional-scale chemistry transport modeling systems that simulate meteorology and air quality over the European and North American continents, this study aims at (i) apportioning error to the responsible processes using timescale analysis, (ii) helping to detect causes of model error, and (iii) identifying the processes and temporal scales most urgently requiring dedicated investigations. The analysis is conducted within the framework of the third phase of the Air Quality Model Evaluation International Initiative (AQMEII) and tackles model performance gauging through measurement-to-model comparison, error decomposition, and time series analysis of the models biases for several fields (ozone, CO, SO2, NO, NO2, PM10, PM2.5, wind speed, and temperature). The operational metrics (magnitude of the error, sign of the bias, associativity) provide an overallsense of model strengths and deficiencies, while apportioning the error to its constituent parts (bias, variance, and covariance) can help assess the nature and quality of the error. Each of the error components is analyzed independently and apportioned to specific processes based on the corresponding timescale (long scale, synoptic, diurnal, and in...Continue Reading

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Citations

Aug 5, 2020·Journal of the Air & Waste Management Association·Huiying LuoRohit Mathur
Jan 1, 2017·Atmospheric Chemistry and Physics·Efisio SolazzoStefano Galmarini
Jan 1, 2018·Atmospheric Chemistry and Physics·Stefano GalmariniAlper Unal
Apr 19, 2020·Scientific Data·Monica CrippaGreet Janssens-Maenhout
Mar 5, 2019·Atmospheric Chemistry and Physics·Gabriele CurciStefano Galmarini
Jun 15, 2021·Journal of Geophysical Research. Atmospheres : JGR·Robert C GilliamHosein Foroutan

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