| The NCEP climate forecast system version 2 S Saha, S Moorthi, X Wu, J Wang, S Nadiga, P Tripp, D Behringer, ... Journal of climate 27 (6), 2185-2208, 2014 | 3565 | 2014 |
| The NCEP climate forecast system S Saha, S Nadiga, C Thiaw, J Wang, W Wang, Q Zhang, ... Journal of Climate 19 (15), 3483-3517, 2006 | 1388 | 2006 |
| The North American multimodel ensemble: phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction BP Kirtman, D Min, JM Infanti, JL Kinter, DA Paolino, Q Zhang, ... Bulletin of the American Meteorological Society 95 (4), 585-601, 2014 | 1010 | 2014 |
| NCEP climate forecast system version 2 (CFSv2) selected hourly time-series products S Saha, S Moorthi, X Wu, J Wang, S Nadiga, P Tripp, D Behringer, ... UCAR/NCAR-Research Data Archive, 2011 | 315* | 2011 |
| Improving and promoting subseasonal to seasonal prediction AW Robertson, A Kumar, M Peña, F Vitart Bulletin of the American Meteorological Society 96 (3), ES49-ES53, 2015 | 213 | 2015 |
| Separating fast and slow modes in coupled chaotic systems M Peña, E Kalnay Nonlinear Processes in Geophysics 11 (3), 319-327, 2004 | 114 | 2004 |
| Climatology-calibrated precipitation analysis at fine scales: Statistical adjustment of stage IV toward CPC gauge-based analysis D Hou, Y Luo, Z Toth, Y Zhu, R Krzysztofowicz, Y Lin, P Xie, DJ Seo, ... Journal of Hydrometeorology 15 (6), 2542-2557, 2014 | 90 | 2014 |
| Characteristics of wet and dry spells over the Pacific side of Central America during the rainy season MÍ Peña, MW Douglas Monthly Weather Review 130 (12), 3054-3073, 2002 | 90 | 2002 |
| Consolidation of multimodel forecasts by ridge regression: Application to Pacific sea surface temperature M Pena, H van den Dool Journal of Climate 21 (24), 6521-6538, 2008 | 74 | 2008 |
| RISE undergraduates find that regime changes in Lorenz’s model are predictable E Evans, N Bhatti, J Kinney, L Pann, M Peña, SC Yang, E Kalnay, ... Bulletin of the American Meteorological Society 85 (4), 520-524, 2004 | 72 | 2004 |
| Short-term climate extremes: Prediction skill and predictability EJ Becker, H Van Den Dool, M Peña Journal of Climate 26 (2), 512-531, 2013 | 59 | 2013 |
| Toward the improvement of subseasonal prediction in the National Centers for environmental prediction global ensemble forecast system Y Zhu, X Zhou, W Li, D Hou, C Melhauser, E Sinsky, M Peña, B Fu, ... Journal of Geophysical Research: Atmospheres 123 (13), 6732-6745, 2018 | 48 | 2018 |
| Climatology of tracked persistent maxima of 500-hPa geopotential height P Liu, Y Zhu, Q Zhang, J Gottschalck, M Zhang, C Melhauser, W Li, ... Climate Dynamics 51, 701-717, 2018 | 32 | 2018 |
| Impact of sea surface temperature forcing on weeks 3 and 4 forecast skill in the NCEP Global Ensemble Forecasting System Y Zhu, X Zhou, M Peña, W Li, C Melhauser, D Hou Weather and Forecasting 32 (6), 2159-2174, 2017 | 31 | 2017 |
| Statistics of locally coupled ocean and atmosphere intraseasonal anomalies in reanalysis and AMIP data M Peña, E Kalnay, M Cai Nonlinear Processes in Geophysics 10 (3), 245-251, 2003 | 28 | 2003 |
| Evaluating the MJO prediction skill from different configurations of NCEP GEFS extended forecast W Li, Y Zhu, X Zhou, D Hou, E Sinsky, C Melhauser, M Peña, H Guan, ... Climate Dynamics 52, 4923-4936, 2019 | 25 | 2019 |
| Estimation of analysis and forecast error variances M Peña, Z Toth Tellus A: Dynamic Meteorology and Oceanography 66 (1), 21767, 2014 | 24 | 2014 |
| Bridging the gap between weather and climate forecasting: research priorities for intraseasonal prediction Z Toth, M Peña, A Vintzileos Bulletin of the American Meteorological Society 88 (9), 1427-1429, 2007 | 23 | 2007 |
| Data assimilation and numerical forecasting with imperfect models: The mapping paradigm Z Toth, M Peña Physica D: Nonlinear Phenomena 230 (1-2), 146-158, 2007 | 22 | 2007 |
| Prospects for improved forecasts of weather and short-term climate variability on subseasonal (2-week to 2-month) times scales S Schubert, R Dole, H vandenDool, M Suarez, D Waliser | 21 | 2002 |
