A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics

RN Bannister - Quarterly Journal of the Royal Meteorological …, 2008 - Wiley Online Library
This article reviews a range of leading methods to model the background error covariance
matrix (the B‐matrix) in modern variational data assimilation systems. Owing partly to its very …

A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales

YP Wang, CM Trudinger, IG Enting - Agricultural and forest meteorology, 2009 - Elsevier
Model–data fusion is defined as matching model prediction and observations by varying
model parameters or states using statistical estimation. In this paper, we review the history of …

A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC

L Kong, X Tang, J Zhu, Z Wang, J Li… - Earth System …, 2021 - essd.copernicus.org
A 6-year-long high-resolution Chinese air quality reanalysis (CAQRA) dataset is presented
in this study obtained from the assimilation of surface observations from the China National …

Reconstruction of unsteady viscous flows using data assimilation schemes

V Mons, JC Chassaing, T Gomez, P Sagaut - Journal of Computational …, 2016 - Elsevier
This paper investigates the use of various data assimilation (DA) approaches for the
reconstruction of the unsteady flow past a cylinder in the presence of incident coherent …

Global NOx emission estimates derived from an assimilation of OMI tropospheric NO2 columns

K Miyazaki, HJ Eskes, K Sudo - Atmospheric Chemistry and …, 2012 - acp.copernicus.org
A data assimilation system has been developed to estimate global nitrogen oxides (NO x)
emissions using OMI tropospheric NO 2 columns (DOMINO product) and a global chemical …

Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions

K Miyazaki, HJ Eskes, K Sudo… - Atmospheric …, 2012 - acp.copernicus.org
We have developed an advanced chemical data assimilation system to combine
observations of chemical compounds from multiple satellites. NO 2, O 3, CO, and HNO 3 …

Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis

K Miyazaki, KW Bowman, K Yumimoto… - Atmospheric …, 2020 - acp.copernicus.org
We introduce a Multi-mOdel Multi-cOnstituent Chemical data assimilation (MOMO-Chem)
framework that directly accounts for model error in transport and chemistry, and we integrate …

Multi-year objective analyses of warm season ground-level ozone and PM2.5 over North America using real-time observations and Canadian operational air quality …

A Robichaud, R Ménard - Atmospheric chemistry and physics, 2014 - acp.copernicus.org
Multi-year objective analyses (OA) on a high spatiotemporal resolution for the warm season
period (1 May to 31 October) for ground-level ozone and for fine particulate matter (diameter …

Multiconstituent data assimilation with WRF‐Chem/DART: Potential for adjusting anthropogenic emissions and improving air quality forecasts over eastern China

C Ma, T Wang, AP Mizzi, JL Anderson… - Journal of …, 2019 - Wiley Online Library
Abstract We use the Weather Research and Forecasting Model with the chemistry/Data
Assimilation Research Testbed (WRF‐Chem/DART) chemical weather forecasting/data …

A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data

K Miyazaki, HJ Eskes, K Sudo - Atmospheric Chemistry and …, 2015 - acp.copernicus.org
We present the results from an 8-year tropospheric chemistry reanalysis for the period 2005–
2012 obtained by assimilating multiple data sets from the OMI, MLS, TES, and MOPITT …