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Water managers in the western United States (U.S.) rely on longterm forecasts of temperature and precipitation to prepare for droughts and other wet weather extremes.
An all-season real-time multivariate MJO index: Development of an index for monitoring and prediction
Matthew C Wheeler and Harry H Hendon. 2004 · 1932
Earlier work this paper cites.
Deterministic nonperiodic flow
Edward N Lorenz. 1963 · 1963
Earlier work this paper cites.
A New (Revised) Tabulation of the Scripps Topography on a 1 degree Global Grid. Part 1. Terrain Heights
William Lawrence Gates and Alfred B Nelson. 1975 · 1975
Earlier work this paper cites.
Monitoring ENSO in COADS with a seasonally adjusted principal component index. In Proc. of the 17th Climate Diagnostics Workshop, 1993
Klaus Wolter. 1993 · 1993
Earlier work this paper cites.
Calculating the weather: Meteorology in the 20th century
Frederik Nebeker. 1995 · 1995
Earlier work this paper cites.
The NCEP/NCAR 40-year reanalysis project
Eugenia Kalnay, Masao Kanamitsu, Robert Kistler, William Collins, Dennis Deaven, Lev Gandin, Mark Iredell, Suranjana Saha, Glenn White, John Woollen, and others. 1996 · 1996
Earlier work this paper cites.
Localized precipitation forecasts from a numerical weather prediction model using artificial neural networks
Robert J Kuligowski and Ana P Barros. 1998 · 1998
Earlier work this paper cites.
Measuring the strength of ENSO events: How does 1997/98 rank?
Klaus Wolter and Michael S Timlin. 1998 · 1998
Earlier work this paper cites.
Bayesian networks for probabilistic weather prediction
Antonio S Cofino, Rafael Cano Trueba, Carmen María Sordo, and José Manuel Gutiérrez Llorente. 2002 · 2002
Earlier work this paper cites.
World map of the Köppen-Geiger climate classification updated
Markus Kottek, Jürgen Grieser, Christoph Beck, Bruno Rudolf, and Franz Rubel. 2006 · 2006
Earlier work this paper cites.
Matplotlib: A 2D graphics environment
John D Hunter. 2007 · 2007
Earlier work this paper cites.
Daily high-resolution-blended analyses for sea surface temperature
Richard W Reynolds, Thomas M Smith, Chunying Liu, Dudley B Chelton, Kenneth S Casey, and Michael G Schlax. 2007 · 2007
Earlier work this paper cites.
A global monthly land surface air temperature analysis for 1948-present
Yun Fan and Huug van den Dool. 2008 · 2008
Earlier work this paper cites.
Automated generation of reduced stochastic weather models i: simultaneous dimension and model reduction for time series analysis
Illia Horenko, Rupert Klein, Stamen Dolaptchiev, and Christof Schütte. 2008 · 2008
Earlier work this paper cites.
Atmospheric temperature prediction using support vector machines
Y Radhika and M Shashi. 2009 · 2009
Earlier work this paper cites.
Data structures for statistical computing in python. In Proceedings of the 9th Python in Science Conference
Wes McKinney. 2010 · 2010
Cited alongside, same era.
CPC unified gauge-based analysis of global daily precipitation. In Preprints, 24th Conf. on Hydrology, Atlanta, GA, Amer. Meteor. Soc
Pingping Xie, M Chen, and W Shi. 2010 · 2010
Cited alongside, same era.
Skill of real-time seasonal ENSO model predictions during 2002–11: Is our capability increasing?
Anthony G Barnston, Michael K Tippett, Michelle L L’Heureux, Shuhua Li, and David G DeWitt. 2012 · 2012
Cited alongside, same era.
Subseasonal to Seasonal Prediction Project: Bridging the gap between weather and climate
Frédéric Vitart, Andrew W Robertson, and David LT Anderson. 2012 · 2012
Cited alongside, same era.
Application of Statistical Models to the Prediction of Seasonal Rainfall Anomalies over the Sahel
Hamada S. Badr, Benjamin F. Zaitchik, and Seth D. Guikema. 2014 · 2014
Cited alongside, same era.
Decadal Climate Predictions Using Sequential Learning Algorithms
Ehud Strobach and Golan Bel. 2016 · 2016
Later among the works it cites.
Utilizing the state of ENSO as a means for season-ahead predictor selection
Brian G. Zimmerman, Daniel J. Vimont, and Paul J. Block. 2016 · 2016
Later among the works it cites.
Deep forecast: deep learning-based spatio-temporal forecasting
Amir Ghaderi, Borhan M Sanandaji, and Faezeh Ghaderi. 2017 · 2017
Later among the works it cites.
Sub-Seasonal Climate Forecast Rodeo. In 2017 AGU Fall Meeting, New Orleans, LA, 11-15 Dec
K Nowak, RS Webb, R Cifelli, and LD Brekke. 2017 · 2017
Later among the works it cites.
A Short-Term Rainfall Prediction Model using Multi-Task Convolutional Neural Networks. In Data Mining (ICDM), 2017 IEEE International Conference on
Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, and Wei Chu. 2017 · 2017
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The North American multimodel ensemble: phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction
Ben P Kirtman, Dughong Min, Johnna M Infanti, James L Kinter III, Daniel A Paolino, Qin Zhang, Huug Van Den Dool, Suranjana Saha, Malaquias Pena Mendez, Emily Becker, and others. 2014 · 2014
Cited alongside, same era.
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning
Amy McGovern, David J Gagne, John K Williams, Rodger A Brown, and Jeffrey B Basara. 2014 · 2014
Cited alongside, same era.
The NCEP climate forecast system version 2
Suranjana Saha, Shrinivas Moorthi, Xingren Wu, Jiande Wang, Sudhir Nadiga, Patrick Tripp, David Behringer, Yu-Tai Hou, Hui-ya Chuang, Mark Iredell, and others. 2014 · 2014
Cited alongside, same era.
A deep hybrid model for weather forecasting. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Aditya Grover, Ashish Kapoor, and Eric Horvitz. 2015 · 2015
Cited alongside, same era.
An examination of deep learning for extreme climate pattern analysis. In The 5th International Workshop on Climate Informatics
Gilberto Iglesias, David C Kale, and Yan Liu. 2015 · 2015
Cited alongside, same era.
Improving and Promoting Subseasonal to Seasonal Prediction
Andrew W. Robertson, Arun Kumar, Malaquias Peña, and Frederic Vitart. 2015 · 2015
Cited alongside, same era.
Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In Advances in neural information processing systems
SHI Xingjian, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo. 2015 · 2015
Cited alongside, same era.
Later among the works it cites.
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. In Advances in Neural Information Processing Systems
Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Mr Prabhat, and Chris Pal. 2017 · 2017
Later among the works it cites.
Winter Precipitation Forecast in the European and Mediterranean Regions Using Cluster Analysis
Sonja Totz, Eli Tziperman, Dim Coumou, Karl Pfeiffer, and Judah Cohen. 2017 · 2017
Later among the works it cites.
Potential applications of subseasonal-to-seasonal (S2S) predictions
Christopher J. White, Henrik Carlsen, Andrew W. Robertson, Richard J.T. Klein, Jeffrey K. Lazo, Arun Kumar, Frederic Vitart, Erin Coughlan de Perez, Andrea J. Ray, Virginia Murray, Sukaina Bharwani, Dave MacLeod, Rachel James, Lora Fleming, Andrew P. Morse, Bernd Eggen, Richard Graham, Erik Kjellstrom, Emily Becker, Kathleen V. Pegion, Neil J. Holbrook, Darryn McEvoy, Michael Depledge, Sarah Perkins-Kirkpatrick, Timothy J. Brown, Roger Street, Lindsey Jones, Tomas A. Remenyi, Indi Hodgson-Johnston, Carlo Buontempo, Rob Lamb, Holger Meinke, Berit Arheimer, and Stephen E. Zebiak. 2017 · 2017
Later among the works it cites.
Improvements in Hurricane Intensity Forecasts from a Multimodel Superensemble Utilizing a Generalized Neural Network Technique
T. Ghosh and T. N. Krishnamurti. 2018 · 2018
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Gregory R. Herman and Russ S. Schumacher. 2018 · 2018
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The SubseasonalRodeo Dataset
Jessica Hwang, Paulo Orenstein, Judah Cohen, and Lester Mackey. 2018 · 2018
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Development of a Human-Machine Mix for Forecasting Severe Convective Events
Christopher D. Karstens, James Correia, Daphne S. LaDue, Jonathan Wolfe, Tiffany C. Meyer, David R. Harrison, John L. Cintineo, Kristin M. Calhoun, Travis M. Smith, Alan E. Gerard, and Lans P. Rothfusz. 2018 · 2018
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S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
Judah Cohen, Dim Coumou, Jessica Hwang, Lester Mackey, Paulo Orenstein, Sonja Totz, and Eli Tziperman. 2019 · 2019
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Reconstructed Precipitation and Temperature CFSv2 Forecasts for 2011-2018
Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, and Lester Mackey. 2019 · 2019
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