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Publications Collection 003 (Issued on Jan 2020)

Jun 24,2020

Bachmann, Keil, Craig, Weissmann and Welzbacher, 2020, Predictability of Deep Convection in Idealized and Operational Forecasts: Effects of Radar Data Assimilation, Orography, and Synoptic Weather Regime. Mon. Wea. Rev. DOI: 10.1175/MWR-D-19-0045.1

Boukabara, Krasopolsky, Stewart, Maddy, Shahroudi and Hoffman, 2019, Leveraging modern artificial intelligence for remote sensing and NWP. BAMS. DOI:10.1175/BAMS-D-18-0324.1

Bremnes, 2020, Ensemble Postprocessing Using Quantile Function Regression Based on Neural Networks and Bernstein Polynomials. Mon. Wea. Rev. DOI: 10.1175/MWR-D-19-0227.1

Chen, Yu, Wen, Zhang, Yin, Wu and Yao, 2019, Pre-evacuation Time Estimation Based Emergency Evacuation Simulation in Urban Residential Communities. Int. J. Env. Res. & Pub. Health, doi:10.3390/ijerph16234599

Duan, Wan, Huang, Zhao, Yu, Wang, Zhao, Feng, Tang, Chen, Lu, Wang, Liang, Wu, Cui, Xu and Chan, 2019, Landfalling Tropical Cyclone Research Project (LTCRP) in China. BAMS DOI:10.1175/BAMS-D-18-0241.1

Flack, Gray and Plant, 2019, A simple ensemble approach for robust process-based sensitivity analysis of case studies in convection-permitting models. Quart J Roy Meteorol. S. DOI: 10.1002/qj.3606

Frogner, Andrae, Bojarova, Callado, Escriba, Feddersen, Hally, Kauhanen, Randriamampianina, Singleton, Smet, van der Veen and Vignes, 2019, HarmonEPS—The HARMONIE Ensemble Prediction System. Wea For. DOI: 10.1175/WAF-D-19-0030.1

Gallo, Kalb, Gotway, Fisher, Roberts, Jirak, Clark, Alexander and Jensen, 2019, Initial development and testing of a convection-allowing model scorecard. BAMS DOI:10.1175/BAMS-D-18-0218.1

Hirt, Rasp, Blahak and Craig, 2019, Stochastic Parameterization of Processes Leading to Convective Initiation in Kilometer-Scale Models. Mon Wea Rev, 3917. DOI: 10.1175/MWR-D-19-0060.1

Karaye, Horney, Retchless and Ross, 2019, Determinants of Hurricane Evacuation from a Large Representative Sample of the U.S. Gulf Coast. Int. J. Env. Res. & Pub. Health, 16, 4268. doi:10.3390/ijerph16214268

McGovern, Lagerquist, Gagne, Jergensen, Elmore, Homeyer and Smith, 2019, Making the Black Box more Transparent: Understanding the physical implications of machine learning. BAMS, 2175. DOI:10.1175/BAMS-D-18-0195.1

Wang, Xia, Li and Wang, 2019, A Bibliometric Analysis of Crowdsourcing in the Field of Public Health. Int. J. Env. Res. & Pub. Health, 16, 3825. doi:10.3390/ijerph16203825

Wang, Gao, Skinner, Knopfmeier, Jones, Creager, Heiselman and Wicker, 2019, Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather Events. Wea For. DOI: 10.1175/WAF-D-19-0071.1

Zhang, Li, Ebert, Golding, Johnston, Mills, Panchuk, Potter, Riemer, Sun, Taylor, Jones, Ruti and Keller, 2019, Increasing the value of weather warnings. Sci Bull. doi: 10.1016/j.scib.2019.04.003


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