Jumbo Content

Early Adopter

Mariusz Pagowski
Mariusz Pagowski
NOAA/ESRL/GSL; CIRES/University of Colorado, Boulder | Website

Applied Research Topic

Assessing Potential of PACE Aerosol Products for Data Assimilation
Co-PIs: Arlindo da Silva, NASA/GMAO; Daryl Kleist, NOAA/NWS/EMC

Potential Applications Prediction of global aerosols to study impact on weather and climate

Description

NOAA is investing in its national capability to globally predict air quality and the presence of pollutants and aerosols in the atmosphere by developing and improving the aerosol reanalysis and forecasting capabilities of the FV3-GF5/GOCART model by developing and implementing a JEDI data assimilation framework. This hybrid ensemble-variational approach assimilation system will improve the ability of NOAA to estimate aerosols states and study their impacts on weather and climate.

Significance

Fine aerosols, those with diameters smaller than 2.5 microns, contribute to urban smog and are the most important factor affecting human mortality due to air pollution. Aerosols of this size also affect atmospheric radiation and cloud processes thus impact weather and climate.

Why PACE

Aerosol products retrieved by the PACE Ocean Color Instrument and onboard multi-angle polarimeters will constrain aerosol species concentrations within the model, and PACE will provide information to the model regarding the vertical distributions of these aerosols in the atmosphere.

End User(s)

NOAA Climate Prediction Office: Modeling, Analysis, Predictions, and Projections Program
NOAA Office of Weather and Air Quality

SAT Partner(s)

Snorre Stamnes
Jacek Chowdhary
Lorraine Remer

Publications

Bocquet, M., H. Elbern, H. Eskes, M. Hirtl, R. Žabkar, G. R. Carmichael, J. Flemming, A. Inness, M. Pagowski, J. L. Pérez Camaño, P. E. Saide, R. San Jose, M. Sofiev, J. Vira, A. Baklanov, C. Carnevale, G. Grell, and C. Seigneur (2015). Data Assimilation in Atmospheric Chemistry Models: Current Status and Future Prospects for Coupled Chemistry Meteorology Models. Atmospheric Chemistry and Physics, 15, 5325-5358, DOI: https://doi.org/10.5194/acp-15-5325-2015.

M. Pagowski, and G. A. Grell (2012). Experiments with the Assimilation of Fine Aerosols using an Ensemble Kalman Filter, Journal of Geophysical Research, 117, D21302, DOI: https://doi.org/10.1029/2012JD018333.

M. Pagowski, G.A. Grell, S.A. McKeen, S. Peckham, D. Devenyi (2010). Three-Dimensional Variational Data Assimilation of Ozone and Fine Particulate Matter observations. Some Results Using the Weather Research and Forecasting - Chemistry model and Gridpoint Statistical Interpolation', Quarterly Journal of the Royal Meteorological Society, 136, 2013--2024. DOI: https://doi.org/10.1002/qj.700.

Global sea salt concentration from NOAA aerosol reanalysis and forecasting model
Global sea salt concentration from NOAA aerosol reanalysis and forecasting model.
Global dust concentration from NOAA aerosol reanalysis and forecasting model
Global dust concentration from NOAA aerosol reanalysis and forecasting model.
Global carbonaceus concentration from NOAA aerosol reanalysis and forecasting model
Global carbonaceus concentration from NOAA aerosol reanalysis and forecasting model.