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T1  - Data assimilation and numerical modelling of atmospheric composition 
SN  - 978-952-336-012-9 / 0782-6117 
UR  - http://hdl.handle.net/10138/175913 
T3  - Finnish Meteorological Institute Contributions 130 
A1  - Vira, Julius 
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PB  - Finnish Meteorological Institute 
Y1  - 2017 
LA  - en 
AB  - Atmospheric chemistry and transport models are used for a wide range of applications which include predicting dispersion of a hazardous pollutants, forecasting regional air quality, and modelling global distribution of aerosols and reactive gases. However, any such prediction is uncertain due to inaccuracies in input data, model parametrisations and lack of resolution. This thesis studies methods for integrating remote sensing and in-situ observations into atmospheric chemistry models with the a... 
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KW  - dispersion models; air quality; data assimilation; inverse modelling; numerical methods 
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