Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

What Does a Convection-Allowing Ensemble of Opportunity Buy Us in Forecasting Thunderstorms?
Brett Roberts, Burkely T. Gallo, Israel L. Jirak, et al.
Weather and Forecasting (2020) Vol. 35, Iss. 6, pp. 2293-2316
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Forecasting tropical cyclone rainfall and flooding hazards and impacts
Alex Lamers, Sunitha Devi. S, Monica Sharma, et al.
Tropical Cyclone Research and Review (2023) Vol. 12, Iss. 2, pp. 100-112
Open Access | Times Cited: 21
Impacts of the Initial Perturbation Scale and Magnitude on Convection-Allowing Ensemble Forecasts over Eastern China
Yanan Ma, Jing Chen, Jingzhuo Wang, et al.
Journal of Meteorological Research (2025) Vol. 39, Iss. 1, pp. 132-153
Closed Access
Using a Cost-Effective Approach to Increase Background Ensemble Member Size within the GSI-Based EnVar System for Improved Radar Analyses and Forecasts of Convective Systems
Nicholas A. Gasperoni, Xuguang Wang, Yongming Wang
Monthly Weather Review (2022) Vol. 150, Iss. 3, pp. 667-689
Open Access | Times Cited: 16
Multiscale and multi event evaluation of short-range real-time flood forecasting in large metropolitan areas
Gustavo de A. Coelho, Celso M. Ferreira, James L. Kinter
Journal of Hydrology (2022) Vol. 612, pp. 128212-128212
Closed Access | Times Cited: 14
Using Machine Learning to Predict Convection-Allowing Ensemble Forecast Skill: Evaluation with the NSSL Warn-on-Forecast System
Corey K. Potvin, Montgomery L. Flora, Patrick S. Skinner, et al.
Artificial Intelligence for the Earth Systems (2024) Vol. 3, Iss. 3
Open Access | Times Cited: 2
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 Hernández Baños, Will D. Mayfield, Guoqing Ge, et al.
Geoscientific model development (2022) Vol. 15, Iss. 17, pp. 6891-6917
Open Access | Times Cited: 9
A feasibility study of the cosine analysis constraint method for optimizing initial perturbations of convective-scale ensemble prediction
Qiuping Wang, Lu Sun, Xulin Ma, et al.
Atmospheric Research (2024) Vol. 311, pp. 107678-107678
Open Access | Times Cited: 1
Real-time short-range flood forecasting based on a watershed scale 2-D hydrodynamic model and High-Resolution precipitation forecast ensemble
Gustavo de A. Coelho, Celso M. Ferreira, James L. Kinter, et al.
Journal of Hydrology (2024), pp. 132564-132564
Closed Access | Times Cited: 1
Analysis of End User Access of Warn-on-Forecast Guidance Products during an Experimental Forecasting Task
Katie A. Wilson, Burkely T. Gallo, Patrick S. Skinner, et al.
Weather Climate and Society (2021)
Open Access | Times Cited: 10
Large-Sample Application of Radar Reflectivity Object-Based Verification to Evaluate HRRR Warm-Season Forecasts
Jeffrey D. Duda, David D. Turner
Weather and Forecasting (2021) Vol. 36, Iss. 3, pp. 805-821
Open Access | Times Cited: 9
Exploring the Watch-to-Warning Space: Experimental Outlook Performance during the 2019 Spring Forecasting Experiment in NOAA’s Hazardous Weather Testbed
Burkely T. Gallo, Katie A. Wilson, Jessica J. Choate, et al.
Weather and Forecasting (2022) Vol. 37, Iss. 5, pp. 617-637
Open Access | Times Cited: 6
Comparing and Interpreting Differently Designed Random Forests for Next-Day Severe Weather Hazard Prediction
Eric D. Loken, Adam J. Clark, Amy McGovern
Weather and Forecasting (2022) Vol. 37, Iss. 6, pp. 871-899
Closed Access | Times Cited: 6
Comparing Partial and Continuously Cycling Ensemble Kalman Filter Data Assimilation Systems for Convection-Allowing Ensemble Forecast Initialization
Craig S. Schwartz, Jonathan Poterjoy, Jacob R. Carley, et al.
Weather and Forecasting (2021) Vol. 37, Iss. 1, pp. 85-112
Open Access | Times Cited: 6
Hourly assimilation of different sources of observations including satellite radiances in a mesoscale convective system case during RELAMPAGO campaign
Pao Corrales, Victoria Sol Galligani, Juan Ruiz, et al.
Atmospheric Research (2022) Vol. 281, pp. 106456-106456
Open Access | Times Cited: 4
An Analysis of the 3 May 2020 Low-Predictability Derecho Using a Convection-Allowing MPAS Ensemble
Bruno Z. Ribeiro, Steven J. Weiss, Lance F. Bosart
Weather and Forecasting (2022) Vol. 37, Iss. 2, pp. 219-239
Closed Access | Times Cited: 3
Scale‐ and Variable‐Dependent Localization for 3DEnVar Data Assimilation in the Rapid Refresh Forecast System
Sho Yokota, Jacob R. Carley, Ting Lei, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 11
Open Access
Scale-Dependent Verification of the OU MAP Convection Allowing Ensemble Initialized with Multi-Scale and Large-Scale Perturbations during the 2019 NOAA Hazardous Weather Testbed Spring Forecasting Experiment
Aaron Johnson, Fan Han, Yongming Wang, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 255-255
Open Access | Times Cited: 1
Interpreting Warn-on-Forecast System Guidance, Part I: Review of Probabilistic Guidance Concepts, Product Design, and Best Practices
Patrick S. Skinner, Katie A. Wilson, Brian C. Matilla, et al.
Journal of Operational Meteorology (2023), pp. 110-131
Open Access | Times Cited: 1
Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of convective storms
Ivette Hernández Baños, Will D. Mayfield, Guoqing Ge, et al.
(2021)
Open Access | Times Cited: 2
Short-Term Convection-Allowing Ensemble Precipitation Forecast Sensitivity to Resolution of Initial Condition Perturbations and Central Initial States
Craig S. Schwartz, Jonathan Poterjoy, Glen S. Romine, et al.
Weather and Forecasting (2022) Vol. 37, Iss. 7, pp. 1259-1286
Open Access | Times Cited: 1
Reply on RC3
Ivette Hernández Baños
(2022)
Open Access
Reply on RC1
Ivette Hernández Baños
(2022)
Open Access
Reply on RC2
Ivette Hernández Baños
(2022)
Open Access
Reply on RC1
Ivette Hernández Baños
(2022)
Open Access
Exploring Hourly Updating Probabilistic Guidance in the 2021 Spring Forecasting Experiment with Objective and Subjective Verification
Andrew R. Wade, Israel L. Jirak
Weather and Forecasting (2022) Vol. 37, Iss. 5, pp. 699-708
Open Access
Page 1 - Next Page

Scroll to top