Ozone (O3) generally shows lower concentration inside the eyewall and higher concentration around the eye in tropical cyclones (TCs). In this study, we identify the impact of O3 observations on TC structure through a coupled atmospherechemistry data assimilation (DA) system. We applied the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and an ensemble-based DA algorithm-the maximum likelihood ensemble filter (MLEF) to a case TC over East Asia, Typhoon Nabi (2005). The ensemble forecast with 32 ensembles shows larger background state uncertainty over the TC. The assimilation of O3 observations, with a 6 h assimilation window, impacts both O3 itself and wind field in the vicinity of TC. Several measures for verification, including the cost function, root mean square (RMS) error with respect to observations and degrees of freedom for signal (DFS), indicate improvement of the analysis fields through the O3 DA. The cost function and RMS error have decreased by 17 and 9%, respectively. The DFS shows large reduction in uncertainty, indicating a strong positive impact of observations in the TC area.
|Title of host publication||Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)|
|Publisher||Springer International Publishing|
|Number of pages||12|
|State||Published - 1 Jan 2016|