Evaluating CCPP Physics Across Scales for Severe Convective Events

Submitted by jbolton on Thu, 06/11/2020 - 12:21
PI Lastname
Gallus
PI Firstname
Bill
PI Affiliation
Iowa State University
PI2 Lastname
Thielen
PI2 Firstname
Jonathan
Research Area
PI2 Affiliation
Grad Student
Project Year
2020
Publication Citation

Gallus, W. A., Jr., and M. A. Harrold, 2023: Challenges in numerical weather prediction of the 10 August 2020 midwestern derecho: Examples from the FV3-LAM.  Wea. Forecasting, 38 (8), 1429 - 1445, https://doi.org/10.1175/WAF-D-23-0019.1.

Section

Use GOES data to evaluate the performance of Hurricane Analysis and Forecast System (HAFS)

Submitted by ericg on Tue, 12/17/2019 - 14:50
PI Lastname
Bao
PI Firstname
Shaowu
PI Affiliation
Department of Coastal and Marine Systems Science, Coastal Carolina University
Research Area
Project Year
2020
Publication Citation

Bao, S., Bernardet, L., Thompson, G., Kalina, E., Newman, K., & Biswas, M. (2020). Impact of the hydrometeor vertical advection method on HWRF’s simulated hurricane structure. Weather And Forecasting, 35, 723-737. doi:10.1175/WAF-D-19-0006.1.

 

 

Bao, S., Z. Zhang, E. Kalina, and B. Liu, 2022.  The use of composite GOES-R satellite imagery to evaluate a TC intensity and vortex structure forecast by an FV3GFS-based hurricane forecast model.  Atmosphere, 13 (1), 126, https://doi.org/10.3390/atmos13010126.

Section

Investigating the FV3-CAM data assimilation capability representing convective processes and structures of squall lines over the Great Plains

Submitted by ericg on Tue, 12/17/2019 - 14:48
PI Lastname
Fernando Sapucci
PI Firstname
Luiz
PI Affiliation
National Institute of Space Research
PI2 Lastname
Hernández Baños
PI2 Firstname
Ivette
PI2 Affiliation
Grad Student
Project Year
2020
Section

Testing Exponential-Random Cloud Overlap for HWRF Operations and Unifying RRTMG Radiation Codes in Operational Use at NOAA/EMC

Submitted by ericg on Tue, 12/17/2019 - 14:44
PI Lastname
Iacono
PI Firstname
Michael J.
PI Affiliation
Atmospheric and Environmental Research / Verisk Analytics
PI2 Lastname
Henderson
PI2 Firstname
John M.
Research Area
PI2 Affiliation
Atmospheric and Environmental Research / Verisk Analytics
Project Year
2020
Section

Evaluating and Improving Planetary Boundary Layer Parameterizations in HWRF using Aircraft Observations

Submitted by jessaj on Wed, 07/17/2019 - 11:18
PI Lastname
Zhang
PI Firstname
Jun
Research Area
Project Year
2019
Publication Citation

Zhang, J. A., E. A. Kalina, M. K. Biswas, R. F. Rogers, P. Zhu, and F. D. Marks, 2020.  A review and evaluation of planetary boundary layer parameterizations in hurricane weather research and forecasting model using idealized simulations and observations.  atmosphere, 11, 1091, 1 - 21, doi:10.3390/atmos11101091.  Available at: https://www.mdpi.com/2073-4433/11/10/1091/pdf 

Section

Improving Heavy Rainfall Guidance from Convection-Allowing Ensembles Using Machine Learning

Submitted by jessaj on Wed, 07/17/2019 - 11:11
PI Lastname
Loken
PI Firstname
Eric
PI Affiliation
Grad Student, University of Oklahoma
PI2 Lastname
Clark
PI2 Firstname
Adam
Research Area
PI2 Affiliation
NOAA/NSSL, University of Oklahoma
Project Year
2019
Publication Citation

Loken, E. D., A. J. Clark, A. McGovern, M. Flora, and K. Knopfmeier, 2019: Postprocessing Next-Day Ensemble Probabilistic Precipitation Forecasts Using Random Forests. Wea. Forecasting, 34, 2017–2044, https://doi.org/10.1175/WAF-D-19-0109.1.

 

 

Loken, E. D., A. J. Clark, and C. D. Karstens, 2020: Generating Probabilistic Next-Day Severe Weather Forecasts from Convection-Allowing Ensembles Using Random Forests. Wea. Forecasting, 35, 1605–1631, https://doi.org/10.1175/WAF-D-19-0258.1.

Section
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