Relative impact of observations on a regional Arctic numerical weather prediction system

The impact of Arctic conventional and satellite observations on regional short-range weather forecasts is assessed using observing-system experiments, in which observations are removed (denied) when creating the initial conditions of the forecasts. The experiments are conducted with the AROME-Arctic regional mesoscale numerical weather prediction system, using as lateral boundary conditions (LBCs) observing-system experiments performed at the European Centre for Medium-Range Forecasts (ECMWF) with the global forecasting system. This allows the assessment of the relative impacts of observations on forecast skill through regional data assimilation (DA), through LBCs, and the total impact due to the denial of observations in both the regional and global forecasting systems. The study is conducted during the first and second Special Observing Periods of the Year Of Polar Prediction. The total impact on the upper-air forecasts is dominated by the impact of observations through their assimilation in the LBCs, while for the winter period the impact on surface fields is dominated by the regional DA. The latter is significant up to 36 hr, while the former impact can last throughout the verified forecast range (48 hr). The use of observations in the LBCs has both significantly positive and significantly negative impacts. In terms of total impact on forecast skill, conventional observations, followed by infrared radiances, have the largest impact on all upper-air parameters, except for humidity. For upper-air humidity forecasts, the microwave radiances have the largest impact. In terms of observation impact through regional DA, conventional observations play the largest role for upper-air temperature and geopotential, microwave for upper-air humidity, and atmospheric motion vectors and Infrared Atmospheric Sounding Interferometer (IASI) for wind forecast. Regional DA of conventional observations also contributes the most to improvements of surface fields, except for 10-m winds, for which the microwave temperature-sensitive radiances are the most important.

Automated summary

The study evaluates the impact of Arctic conventional and satellite observations on regional short-range weather forecasts using observing-system experiments. The results indicate that observation assimilation in lateral boundary conditions has the most significant impact on upper-air forecast skill, while the impact on surface fields during the winter period is mainly from regional data assimilation.