Articles | Volume 16, issue 6
https://doi.org/10.5194/acp-16-3927-2016
https://doi.org/10.5194/acp-16-3927-2016
Research article
 | 
23 Mar 2016
Research article |  | 23 Mar 2016

Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting

Juli I. Rubin, Jeffrey S. Reid, James A. Hansen, Jeffrey L. Anderson, Nancy Collins, Timothy J. Hoar, Timothy Hogan, Peng Lynch, Justin McLay, Carolyn A. Reynolds, Walter R. Sessions, Douglas L. Westphal, and Jianglong Zhang

Related authors

An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences
Peng Lynch, Jeffrey S. Reid, Douglas L. Westphal, Jianglong Zhang, Timothy F. Hogan, Edward J. Hyer, Cynthia A. Curtis, Dean A. Hegg, Yingxi Shi, James R. Campbell, Juli I. Rubin, Walter R. Sessions, F. Joseph Turk, and Annette L. Walker
Geosci. Model Dev., 9, 1489–1522, https://doi.org/10.5194/gmd-9-1489-2016,https://doi.org/10.5194/gmd-9-1489-2016, 2016
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model
Ross J. Herbert, Alberto Sanchez-Marroquin, Daniel P. Grosvenor, Kirsty J. Pringle, Stephen R. Arnold, Benjamin J. Murray, and Kenneth S. Carslaw
Atmos. Chem. Phys., 25, 291–325, https://doi.org/10.5194/acp-25-291-2025,https://doi.org/10.5194/acp-25-291-2025, 2025
Short summary
The role of interfacial tension in the size-dependent phase separation of atmospheric aerosol particles
Ryan Schmedding and Andreas Zuend
Atmos. Chem. Phys., 25, 327–346, https://doi.org/10.5194/acp-25-327-2025,https://doi.org/10.5194/acp-25-327-2025, 2025
Short summary
Warming effects of reduced sulfur emissions from shipping
Masaru Yoshioka, Daniel P. Grosvenor, Ben B. B. Booth, Colin P. Morice, and Ken S. Carslaw
Atmos. Chem. Phys., 24, 13681–13692, https://doi.org/10.5194/acp-24-13681-2024,https://doi.org/10.5194/acp-24-13681-2024, 2024
Short summary
The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models
Alcide Zhao, Laura J. Wilcox, and Claire L. Ryder
Atmos. Chem. Phys., 24, 13385–13402, https://doi.org/10.5194/acp-24-13385-2024,https://doi.org/10.5194/acp-24-13385-2024, 2024
Short summary
Multi-model effective radiative forcing of the 2020 sulfur cap for shipping
Ragnhild Bieltvedt Skeie, Rachael Byrom, Øivind Hodnebrog, Caroline Jouan, and Gunnar Myhre
Atmos. Chem. Phys., 24, 13361–13370, https://doi.org/10.5194/acp-24-13361-2024,https://doi.org/10.5194/acp-24-13361-2024, 2024
Short summary

Cited articles

Adhikary, B., Kulkarni, S., Dallura, A., Tang, Y., Chai, T., Leung, L.R., Qian, Y., Chung, C. E., Ramanathan, V., and Carmichael, G. R.: A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique, Atmos. Environ., 42, 8600–8615, https://doi.org/10.1016/j.atmosenv.2008.08.031, 2008.
Anderson, J. L.: A method for producing and evaluating probabilistic forecasts from ensemble model integrations, J. Climate, 9, 1518–1530, 1996.
Anderson, J. L.: An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2894–2903, 2001.
Anderson, J. L.: An adaptive covariance inflation error correction algorithm for ensemble filters, Tellus, 59A, 210–224, 2007.
Anderson, J. L.: Spatially and temporally varying adaptive covariance inflation for ensemble filters, Tellus, 61A, 72–83, 2009.
Download
Short summary
This work tests the use of an ensemble prediction system for aerosol forecasting, including an ensemble adjustment Kalman filter for MODIS AOT assimilation. Key findings include (1) meteorology and source-perturbed ensembles are needed to capture long-range transport and near-source aerosol events, (2) adaptive covariance inflation is recommended for assimilating spatially heterogeneous observations and (3) the ensemble system captures sharp gradients relative to a deterministic/variational system.
Altmetrics
Final-revised paper
Preprint