Articles | Volume 15, issue 17
Geosci. Model Dev., 15, 6891–6917, 2022
Geosci. Model Dev., 15, 6891–6917, 2022
Model evaluation paper
12 Sep 2022
Model evaluation paper | 12 Sep 2022

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study

Ivette H. Banos et al.

Related authors

The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator
Cheng-Hsuan Lu, Quanhua Liu, Shih-Wei Wei, Benjamin T. Johnson, Cheng Dang, Patrick G. Stegmann, Dustin Grogan, Guoqing Ge, Ming Hu, and Michael Lueken
Geosci. Model Dev., 15, 1317–1329,,, 2022
Short summary
GPS-PWV jumps before intense rain events
Luiz F. Sapucci, Luiz A. T. Machado, Eniuce Menezes de Souza, and Thamiris B. Campos
Atmos. Meas. Tech. Discuss.,,, 2016
Revised manuscript not accepted
Short summary

Related subject area

Atmospheric sciences
Downscaling atmospheric chemistry simulations with physically consistent deep learning
Andrew Geiss, Sam J. Silva, and Joseph C. Hardin
Geosci. Model Dev., 15, 6677–6694,,, 2022
Short summary
A machine learning methodology for the generation of a parameterization of the hydroxyl radical
Daniel C. Anderson, Melanie B. Follette-Cook, Sarah A. Strode, Julie M. Nicely, Junhua Liu, Peter D. Ivatt, and Bryan N. Duncan
Geosci. Model Dev., 15, 6341–6358,,, 2022
Short summary
Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs
Akshay Sridhar, Yassine Tissaoui, Simone Marras, Zhaoyi Shen, Charles Kawczynski, Simon Byrne, Kiran Pamnany, Maciej Waruszewski, Thomas H. Gibson, Jeremy E. Kozdon, Valentin Churavy, Lucas C. Wilcox, Francis X. Giraldo, and Tapio Schneider
Geosci. Model Dev., 15, 6259–6284,,, 2022
Short summary
Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework
Joshua Chun Kwang Lee, Javier Amezcua, and Ross Noel Bannister
Geosci. Model Dev., 15, 6197–6219,,, 2022
Short summary
OpenIFS/AC: atmospheric chemistry and aerosol in OpenIFS 43r3
Vincent Huijnen, Philippe Le Sager, Marcus O. Köhler, Glenn Carver, Samuel Rémy, Johannes Flemming, Simon Chabrillat, Quentin Errera, and Twan van Noije
Geosci. Model Dev., 15, 6221–6241,,, 2022
Short summary

Cited articles

Alexander, C. and Carley, J.: Short-Range Weather in operations, Bulletin of the UFS Community, p. 9,, 2020. a, b
Alpert, J. C., Yudin, V. A., and Strobach, E.: Atmospheric Gravity Wave Sources Correlated with Resolved-scale GW Activity and Sub-grid Scale Parameterization in the FV3gfs Model, in: AGU Fall Meeting Abstracts, vol. 2019, SA21A–02, 2019. a
Azevedo, H. B. D., Gonçalves, L. G. G. D., Kalnay, E., and Wespetal, M.: Dynamically weighted hybrid gain data assimilation: perfect model testing, Tellus A, 72, 1–11,, 2020. a
Bannister, R. N.: A review of operational methods of variational and ensemble-variational data assimilation, Q. J. Roy. Meteor. Soc., 143, 607–633,, 2017. a
Bannister, R. N., Chipilski, H. G., and Martinez-Alvarado, O.: Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales, Q. J. Roy. Meteor. Soc., 146, 1–48,, 2020. a, b
Short summary
A prototype data assimilation system for NOAA’s next-generation rapidly updated, convection-allowing forecast system, or Rapid Refresh Forecast System (RRFS) v0.1, is tested and evaluated. The impact of using data assimilation with a convective storm case study is examined. Although the convection in RRFS tends to be overestimated in intensity and underestimated in extent, the use of data assimilation proves to be crucial to improve short-term forecasts of storms and precipitation.