Biomass Burning: Observations, Modeling, and Data Assimilation

Biomass Burning Observations, Modeling, and Data Assimilation

Modeling the impacts of biomass burning

Introduction Conclusions References

Data assimilation of dust aerosol observations

Data assimilation of dust aerosol observations for CUACE/Dust forecasting system T. Niu, S. L. Gong, G. F. Zhu, H. L. Liu, X. Q. Hu, C. H. Zhou, and Y. Q. Wang Center for Atmosphere Watch & Services (CAWAS), Chinese Academy of Meteorological Sciences, China Meteorological Administration (CMA), Beijing 100081, China Air Quality Research Division, Science & Technology Branch, Environment Canada, ...

Optimal observations for variational data assimilation

An important aspect of Ocean state estimation is the design of an observing system that allows the efficient study of climate aspects in the ocean. A solution of the design problem is presented here in terms of optimal observations that emerge as nondimensionalized singular vectors of the modified data resolution matrix. The actual computation is feasible only for scalar quantities in the limit...

Adaptive observations in ensemble data assimilation

An important question in ensemble based data assimilation scheme is how to configure our observations to correctly capture the important features in either our atmospheric or oceanic models given a set of ensembles. In this paper a systematic approach for effective sensor placement is formulated to evaluate how to target our observations. This method is based on a criterion of Shannon informati...