Abstract
We estimated the effects of the different aerosol climatologies in the COSMO mesoscale atmospheric model using long-term aerosol measurements and the accurate global solar irradiance observations at ground at the Moscow State University Meteorological Observatory (Russia) and Lindenberg Observatory (Germany) in clear sky conditions. The differences in aerosol properties have been detected especially during winter months. There is a better agreement of MACv2 aerosol climatology with measurements forMoscowconditions compared with Tegen aerosol climatology. However, we still have a systematical negative bias of about 2-3% in global solar irradiance at ground for both sites. A noticeable sensitivity of air temperature at2 metersto the net radiation changes of about1°Cper 100 Wm-2 due to aerosol has been evaluated, which approximately is around -0.2 – -0.3°C, when accounting for real aerosol properties.
Highlights
Aerosol is one of the key factors, which has a significant influence on scattering and absorption of solar irradiance in the atmosphere and on climate (Boucher et al 2013)
Long-term measurements of different aerosol properties using AERONET at the Moscow MSU MO and AERONET/Precision Filter Radiometer (PFR) data at the Lindenberg Observatory provide a testbed for comparisons of the aerosol climatologies
For Moscow conditions the AOT seasonal cycle in Tegen climatology is characterized by much less seasonal variations, while MACv2 climatology has similar seasonal changes compared with the observations which in turn have the highest variations
Summary
Aerosol is one of the key factors, which has a significant influence on scattering and absorption of solar irradiance in the atmosphere and on climate (Boucher et al 2013). Due to large variation in its composition aerosol may have different optical properties. The uncertainty in aerosol properties of the atmosphere affects the accuracy of radiative flux simulation and may provide significant errors in evaluating different parameters in numerical weather prediction (NWP) models (Tanre et al 1984; Ritter and Geleyn 1992). The second approach (the application of aerosol climatologies) is usually applied in the different atmospheric models. One of the well-known atmospheric models is the COSMO (COnsortium for Small-scale MOdeling) model, which is widely used in different countries for the operational weather forecasting and climate modelling (www.cosmo-model.org)
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