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Malaquias Peña
Malaquias Peña
Associate Professor, University of Connecticut
Verified email at uconn.edu
Title
Cited by
Cited by
Year
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
32942014
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
13572006
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
9442014
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
2512011
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
1922015
Separating fast and slow modes in coupled chaotic systems
M Peña, E Kalnay
Nonlinear Processes in Geophysics 11 (3), 319-327, 2004
1092004
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
872002
Handbook of hydrometeorological ensemble forecasting
Q Duan, F Pappenberger, A Wood, HL Cloke, JC Schaake
Springer 10, 978-3, 2019
822019
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
822014
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
722004
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
692008
Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations
S Penny
WMO, 2017
562017
Short-term climate extremes: Prediction skill and predictability
EJ Becker, H Van Den Dool, M Peña
Journal of Climate 26 (2), 512-531, 2013
552013
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
422018
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
302018
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
292017
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
272003
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
262019
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
232007
Estimation of analysis and forecast error variances
M Peña, Z Toth
Tellus A: Dynamic Meteorology and Oceanography 66 (1), 21767, 2014
222014
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