Faure, Cambon & Brousseau, 2020, Operational Implementation of the AROME Model in the Tropics: Multiscale Validation of Rainfall Forecasts. DOI: 10.1175/WAF-D-19-0204.1

Gold, White, Roeder, Mcaleenan, Kabban & Ahner, 2020, Probabilistic Contingency Tables: An Improvement to Verify Probability Forecasts. DOI: 10.1175/WAF-D-19-0116.1

Squitieri & Gallus Jr, 2020, On the Forecast Sensitivity of MCS Cold Pools and Related Features to Horizontal Grid Spacing in Convection-Allowing WRF Simulations. DOI: 10.1175/WAF-D-19-0016.1

Renie, Rikus, Eizenberg, Steinle & Krysta, 2020, Impact of Doppler Radar Wind Observations on Australian High-Resolution Numerical Weather Prediction. DOI: 10.1175/WAF-D-19-0100.1

Hotz & Hajat, 2020, The Effects of Temperature on Accident and Emergency Department Attendances in London: A Time-Series Regression Analysis. Int. J. Environ. Res. Public Health 2020, 17, 1957; doi:10.3390/ijerph17061957

Stephens, Freeman, Richard, Pilewskie, Larkin, Chew, Tanelli, Brown, Posselt & Peral, 2020, The Emerging Technological Revolution in Earth Observations. BAMS,  https://doi.org/10.1175/BAMS-D-19-0146.1

Necker, Weissmann, Ruckstuhl, Anderson & Miyoshi, 2020, Sampling Error Correction Evaluated Using a Convective-Scale 1000-Member Ensemble, DOI: 10.1175/MWR-D-19-0154.1

Gasperoni, Wang & Wang, 2020, A Comparison of Methods to Sample Model Errors for Convection-Allowing Ensemble Forecasts in the Setting of Multiscale Initial Conditions Produced by the GSI-Based EnVar Assimilation System. DOI: 10.1175/MWR-D-19-0124.1

Titley, Bowyer & Cloke, 2020, A global evaluation of multi-model ensemble tropical cyclone track probability forecasts. Q J R Meteorol Soc. 2020;146:531–545. DOI: 10.1002/qj.3712

King, Lea, Martin, Mirouze & Heming, 2020, The impact of Argo observations in a global weakly coupled ocean–atmosphere data assimilation and short-range prediction system. Q J R Meteorol Soc. 2020;146:401–414. DOI: 10.1002/qj.3682

Bannister, Chipilski & Martinez-Alvarado, 2020, Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales. Q J R Meteorol Soc. 2020;146:1–48. DOI: 10.1002/qj.3652

Vamvakeridou-Lyroudia, Chen, Khoury, Gibson, Kostaridis, Steward, Wood, Djordjevic & Savic, 2020, Assessing and visualising hazard impacts to enhance the resilience of Critical Infrastructures to urban flooding. Science of the Total Environment.  https://doi.org/10.1016/j.scitotenv.2019.136078

Nipen, Seierstad, Lussana, Kristiansen & Hov, 2020, Adopting Citizen Observations in Operational Weather Prediction.  https://doi.org/10.1175/BAMS-D-18-0237.1

Spruce, Arthur & Williams, 2020, Using social media to measure impacts of named storm events in the United Kingdom and Ireland. Meteorol Appl. 2020;27:e1887. https://doi.org/10.1002/met.1887

Yussouf, Wilson, Martinaitis, Vergara, Heinselmann & Gourley, 2020, The Coupling of NSSL Warn-on-Forecast and FLASH Systems for Probabilistic Flash Flood Prediction. DOI: 10.1175/JHM-D-19-0131.1

Walters, Mason, Ellis & Winchester, 2020, Staying Safe in a Tornado: A Qualitative Inquiry into Public Knowledge, Access, and Response to Tornado Warnings. DOI: 10.1175/WAF-D-19-0090.1

Schindler, Weissmann, Schafler & Radnoti, 2020, The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016. DOI: 10.1175/MWR-D-19-0126.1

Buehner & Jacques, 2020, Non-Gaussian Deterministic Assimilation of Radar-Derived Precipitation Accumulations. DOI: 10.1175/MWR-D-19-0199.1

Yu, Chen, Ebert, Davidson, Xiao, Yu & Duan, 2020, Benchmark rainfall verification of landfall tropical cyclone forecasts by operational ACCESS-TC over China. Meteorol Appl. 2020;27:e1842. https://doi.org/10.1002/met.1842

Hemingway & Robbins, 2020, Developing a hazard-impact model to support impact-based forecasts and warnings: The Vehicle OverTurning (VOT) Model. Meteorol Appl. 2020;27:e1819. https://doi.org/10.1002/met.1819

Mulder, Lickiss, Black, Charlton-Perez, McCloy & Young, 2020, Designing environmental uncertainty information for experts and non-experts: Does data presentation affect users’ decisions and interpretations?.  Meteorol Appl. 2020;27:e1821. https://doi.org/10.1002/met.1821

Cornes, Dirksen & Sluiter, 2020, Correcting citizen-science air temperature measurements across the Netherlands for short wave radiation bias. Meteorol Appl. 2020;27:e1814. https://doi.org/10.1002/met.1814

Hatzis, Koch & Brooks, 2020, A tornado daily impacts simulator for the central and southern United States. Meteorol Appl. 2020;27:e1882. https://doi.org/10.1002/met.1882