| The olympic mountains experiment (OLYMPEX) RA Houze Jr, LA McMurdie, WA Petersen, MR Schwaller, W Baccus, ... Bulletin of the American Meteorological Society 98 (10), 2167-2188, 2017 | 165 | 2017 |
| Surface pressure observations from smartphones: A potential revolution for high-resolution weather prediction? CF Mass, LE Madaus Bulletin of the American Meteorological Society 95 (9), 1343-1349, 2014 | 84 | 2014 |
| Utility of dense pressure observations for improving mesoscale analyses and forecasts LE Madaus, GJ Hakim, CF Mass Monthly Weather Review 142 (7), 2398-2413, 2014 | 41 | 2014 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows B Groenke, L Madaus, C Monteleoni Proceedings of the 10th International Conference on Climate Informatics, 60-66, 2020 | 35 | 2020 |
| Evaluating smartphone pressure observations for mesoscale analyses and forecasts LE Madaus, CF Mass Weather and Forecasting 32 (2), 511-531, 2017 | 31 | 2017 |
| Observable surface anomalies preceding simulated isolated convective initiation LE Madaus, GJ Hakim Monthly Weather Review 144 (6), 2265-2284, 2016 | 22 | 2016 |
| Challenges and opportunities for data assimilation in mountainous environments J Hacker, C Draper, L Madaus Atmosphere 9 (4), 127, 2018 | 16 | 2018 |
| The Olympic Mountains Experiment (OLYMPEX), B. Am. Meteorol. Soc., 98, 2167–2188 RA Houze Jr, LA McMurdie, WA Petersen, MR Schwaller, W Baccus, ... | 16 | 2017 |
| Constraining ensemble forecasts of discrete convective initiation with surface observations LE Madaus, GJ Hakim Monthly Weather Review 145 (7), 2597-2610, 2017 | 15 | 2017 |
| Stochastic tropical cyclone precipitation field generation W Kleiber, S Sain, L Madaus, P Harr Environmetrics 34 (1), e2766, 2023 | 9 | 2023 |
| Hyper-local, efficient extreme heat projection and analysis using machine learning to augment a hybrid dynamical-statistical downscaling technique L Madaus, P McDermott, J Hacker, J Pullen Urban Climate 32, 100606, 2020 | 8 | 2020 |
| Rapid, short‐term ensemble forecast adjustment through offline data assimilation LE Madaus, GJ Hakim Quarterly Journal of the Royal Meteorological Society 141 (692), 2630-2642, 2015 | 8 | 2015 |
| Analysis of the future change in frequency of tropical cyclone-related impacts due to compound extreme events PA Harr, A Jordi, L Madaus Hurricane risk in a changing climate, 87-120, 2022 | 4 | 2022 |
| DART: A Community Facility Providing State-of-the-Art, Efficient Ensemble Data Assimilation for Large (Coupled) Geophysical Models TJ Hoar, JL Anderson, N Collins, H Kershaw, J Hendricks, K Raeder, ... AGU Fall Meeting Abstracts 2016, NG33A-1851, 2016 | 1 | 2016 |
| The effects of extreme rainfall trends on compound flood risk: A case study over Greater Boston S Emmanouil, A Langousis, E Perry, L Madaus, J Hacker, EN Anagnostou EGU24, 2024 | | 2024 |
| Compounding effects of changing sea level and rainfall regimes on pluvial flooding in New York City M Ghanbari, T Dell, F Saleh, Z Chen, J Cherrier, B Colle, J Hacker, ... Natural Hazards, 1-24, 2024 | | 2024 |
| Frequency of Low Streamflow Events Below Environmental Limits Increases Globally M Maneta, DG Bigelow, L Madaus, SR Sain AGU23, 2023 | | 2023 |
| Both climate change and population change will affect global exposure to flooding J Rogers, M Maneta, SR Sain, L Madaus, J Hacker AGU23, 2023 | | 2023 |
| Pairing Climate Expertise with Open Data and Software to Maximize Climate Insights at Jupiter Intelligence LE Madaus, EC Weatherhead 103rd AMS Annual Meeting, 2023 | | 2023 |
| Effects of climate change on global flood impacts: insights from a coupled high-resolution coastal and fluvial flood model J Rogers, M Maneta, SR Sain, L Madaus AGU Fall Meeting Abstracts 2022, H44E-02, 2022 | | 2022 |
