From time to time, the DA group attends meetings/conferences/workshops throughout the years. Below are some of the meetings that we will be attending or have already attended. Work presented by the DA group is also accessible via the [Link] button.

Upcoming Meetings

Recent Meetings

98th AMS Annual Meeting

January 7, 2018 to January 11, 2018
Austin, Texas

DA Group Participations:

Impacts of Assimilating Vertical Velocity, Latent Heating, or Hydrometeor Water Contents Retrieved from a Single Reflectivity Dataset, Yoonjin Lee, Christian D. Kummerowm, Milija Zupanski [Link]
A Cloud Analysis and Forecasting system (CAN) for the 2018 Winter Olympics, Yoonjin Lee, Steve Albers, Kwang-Deuk Ahn, Crhistian D. Kummerow, Yong Hee Lee, Zoltan Toth, and Yuanfu Xie [Link]
Implementation of the GOES-16 GLM Lightning Assimilation into the NCEP/GSI System for Improved Global and Convective-Scale Assimilation and Prediction, Karina Apodaca, Milija Zupanski, Lidia Cucurull, and Ming Hu [Link]
Implementing and Testing of a Lognormal-Based Humidity Control Variable for the NCEP GSI Hybrid EnVAR Assimilation Scheme, Steven J. Fletcher and Karina Apodaca [Link]
Implementing Non-Gaussian Background Error Statistics for Humidity and Hydrometeor Control Variables in the Hybrid GSI System for Improved Convective-Scale Assimilation and Prediction, Karina Apodaca, Steven J. Fletcher, Stephen Weygandt, and Haidao Lin [Link]

2017 AGU Fall Meeting

December 11, 2017 to December 15, 2017
New Orleans

DA Group Participations:

Comparison of Gaussian and non-Gaussian Atmospheric Profile Retrievals from Satellite Microwave Data: John Michael Forsythe, Anton Kliewer, Steven J Fletcher and Andrew S Jones [Link]

Detecting Non-Gaussian and Lognormal Characteristics of Temperature and Water Vapor Mixing Ratio: Anton Kliewer, Steven J Fletcher, Andrew S Jones and John Michael Forsythe [Link]
Advancing Littoral Zone Aerosol Prediction via Holistic Studies in Regime-Dependent Flows: August 3-9, 2016 Middle East Dust Event: Jeremy Edward Solbrig, Steven D Miller, Susan C van den Heever, Sonia M Kreidenweis, Min M Oo, Milija Zupanski, Jianglong Zhang, Jun Wang, Robert Holz, Steven C Albers, Lewis D Grasso, Anton Kliewer, Jennifer Bukowski, Jungmin Park, Stephen Millican Saleeby and Ting-Chi Wu [Link]
Implementing of lognormal humidity and cloud-related control variables for the NCEP GSI hybrid EnVAR Assimilation scheme: Steven J Fletcher, Daryl Kleist, and Kayo Ide [Link]
Integrated Decision Tools for Sustainable Watershed/Ground Water and Crop Health using Predictive Weather, Remote Sensing, and Irrigation Decision Tools: Andrew S Jones, Allan Andales, Cullen McGovern, Garvey E. B. Smith, Olaf David, and Steven J Fletcher [Link]

Seventh International WMO Symposium on Data Assimilation

September 11, 2017 to September 15, 2017
Florianopolis, Brazil

DA Group Participations:

Apodaca, K., S. J. Fletcher, S. S. Weygandt, and H. Lin, 2017: Implementing non-Gaussian background error statistics for cloud-related control variables in the hybrid GSI for improved convective-scale prediction [Link]

Apodaca,, K., M. Zupanski, L. Cucurull, and M. Hu, 2017: Implementation of the GOES-16 GLM lightning assimilation into the GSI system for improved global and convective-scale assimilation and prediction [Link]

Kliewer, A. J. and M. Zupanski, 2017: Advancing Assimilation and Prediction of Aerosol Distributions in Coastal Regions Using a Coupled Modeling System [Link]


18th Annual WRF Users' Workshop

June 12, 2017 to June 16, 2017
Boulder, CO

DA Group Participations:

Wu, T.-C.M. Zupanski, L. D. Grasso, C. D. Kummerow, and S-A Boukabara, 2017: Assimilation of Microwave All-Sky Radiances and Hydrometeor Retrievals in HWRF. [Link

The AMS 97th Annual Meeting

January 22, 2017 to January 26, 2017
Seattle, WA

DA Group Participations:

21st Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface:

Apodaca, K., S. J. Fletcher, S. Weygandt, H. Lin, C. Alexander, M. Hu, T. Ladwig, and E. James, 2017: Implementation of Cloud-Related Non-Gaussian Background Error Statistics in Hybrid Data Assimilation for Convective-Scale Prediction. [Link

S. J. Fletcher, and Apodaca, K.2017: Accounting for Non-Gaussianity in Background Errors Associated with Cloud-Related Variables. [Link]