Assessing the Rapid Refresh Forecast System Data Assimilation Capability to Represent an Amazon Coastal Squall Line

PI Lastname
Fernando Sapucci
PI Firstname
Luis
PI Affiliation
Graduate Program in Meteorology, National Institute for Space Research, Sao Jose dos Campos, Sao Paulo, Brazil
Grad Student(s)
Ivette Hernandez Banos
Research Area
Project Year
2021
Section

Evaluating CCPP Physics Across Scales for Severe Convective Events

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)

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

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
Publication Citation

Banos, I. H., W.D. Mayfield, G. Ge, L. F. Sapucci, J. R. Carley, and L. Nance, 2022: Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of convective storms. Geoscientific Model Development, https://doi.org/10.5194/gmd-2021-289.

Section

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

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

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

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

Advanced Distance-based, Field Deformation and Statistical Hypothesis Utilities for MET

PI Lastname
Gilleland
PI Firstname
Eric
PI Affiliation
NCAR/RAL
Research Area
Project Year
2018
Publication Citation

Gilleland, E., G. Skok, B. G. Brown, B. Casati, M. Dorninger, M. P. Mittermaier, N. Roberts, and L. J. Wilson, 2020. A novel set of verification test fields with application to distance measures. Mon. Wea. Rev., 148 (4), 1653 - 1673, doi: 10.1175/MWR-D-19-0256.1.

Section

Impact of Planetary Boundary Layer Assumptions on HWRF Forecast Skill

PI Lastname
Fovell
PI Firstname
Robert
PI Affiliation
SUNY-Albany
Research Area
Project Year
2016
Publication Citation

Bu, Y. P., R. G. Fovell, and K. L. Corbosiero, 2017: The influences of boundary layer mixing and cloud-radiative forcing on tropical cyclone size. J. Atmos. Sci., 74, 1273–1292, https://doi.org/10.1175/JAS-D-16-0231.1.

Section

Mesoscale Model Intercomparison at Convection-Allowing Resolution using MODE

PI Lastname
Mullendore
PI Firstname
Gretchen
PI Affiliation
University of North Dakota
Grad Student(s)
Mariusz Starzec
Project Year
2015
Publication Citation

 

Starzec, M., G.L. Mullendore, and P.A. Kucera, 2018: Using Radar Reflectivity to Evaluate the Vertical Structure of Forecasted Convection. J. Appl. Meteor. Climatol., 57 (12), 2835 - 2849, https://doi.org/10.1175/JAMC-D-18-0116.1 

Section
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