Academic Commons Search Results
http://academiccommons.columbia.edu/catalog.rss?f%5Bauthor_facet%5D%5B%5D=Mason%2C+Simon+J.&f%5Bdepartment_facet%5D%5B%5D=Applied+Physics+and+Applied+Mathematics&q=&rows=500&sort=record_creation_date+desc
Academic Commons Search Resultsen-usClimate Predictability Tool version 15.3.9
http://academiccommons.columbia.edu/catalog/ac:201024
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8668DCWMon, 18 Jul 2016 10:12:52 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorologysjm2103, mkt14International Research Institute for Climate and Society, Applied Physics and Applied MathematicsComputer softwareReply
http://academiccommons.columbia.edu/catalog/ac:196838
Mason, Simon J.; Tippett, Michael K.; Weigel, Andreas P.; Goddard, Lisa M.; Rajaratnam, Balakanapathyhttp://dx.doi.org/10.7916/D8Z31ZKBThu, 07 Apr 2016 00:00:00 +0000Reply to a comment on the article: Conditional Exceedance Probabilities. Monthly Weather Review 135 (2010), 363–372 (available in Academic Commons at http://dx.doi.org/10.7916/D8PK0G2S).Atmospheric sciences, Climatic changes--Forecasting, Climatic changes--Mathematical models, Statisticssjm2103, mkt14, lmg107Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyArticlesClimate Predictability Tool version 14.2
http://academiccommons.columbia.edu/catalog/ac:194675
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D83N237NMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 14.4
http://academiccommons.columbia.edu/catalog/ac:194669
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8MK6CQQMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 14.3
http://academiccommons.columbia.edu/catalog/ac:194672
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8C24W9FMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 13.4
http://academiccommons.columbia.edu/catalog/ac:194681
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8KK9BMSMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 14.5
http://academiccommons.columbia.edu/catalog/ac:194662
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8W37W5SMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 13.2
http://academiccommons.columbia.edu/catalog/ac:194687
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D82N524QMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 14.6
http://academiccommons.columbia.edu/catalog/ac:194659
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D84M94CGMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 14.7
http://academiccommons.columbia.edu/catalog/ac:194656
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8D21XFTMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 14.1
http://academiccommons.columbia.edu/catalog/ac:194678
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8V40V1ZMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 15.2
http://academiccommons.columbia.edu/catalog/ac:194653
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8NK3DWJMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 13.3
http://academiccommons.columbia.edu/catalog/ac:194684
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8B56JKCMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 13.1
http://academiccommons.columbia.edu/catalog/ac:194690
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8T43SXMMon, 22 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareClimate Predictability Tool version 15.3
http://academiccommons.columbia.edu/catalog/ac:194358
Mason, Simon J.; Tippett, Michael K.http://dx.doi.org/10.7916/D8NS0TQ6Thu, 18 Feb 2016 00:00:00 +0000The Climate Predictability Tool (CPT) is a software package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures or similar predictors. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA), principal components regression (PCR), or multiple linear regression (MLR) on any data, and for any application.Meteorology, Long-range weather forecasting, International Research Institute for Climate Predictionsjm2103, mkt14Applied Physics and Applied Mathematics, International Research Institute for Climate and SocietyComputer softwareCurrent Approaches to Seasonal to Interannual Climate Predictions
http://academiccommons.columbia.edu/catalog/ac:126313
Goddard, Lisa M.; Mason, Simon J.; Zebiak, Stephen E.; Ropelewski, Chester F.; Basher, Reid; Cane, Mark A.http://hdl.handle.net/10022/AC:P:8795Fri, 21 May 2010 00:00:00 +0000This review paper presents an assessment of the current state of knowledge and capability in seasonal climate prediction at the end of the 20th century. The discussion covers the full range of issues involved in climate forecasting, including (1) the theory and empirical evidence for predictability; (2) predictions of surface boundary conditions, such as sea surface temperatures (SSTs) that drive the predictable part of the climate; (3) predictions of the climate; and (4) a brief consideration of the application of climate forecasts. Within this context, the research of the coming decades that seeks to address shortcomings in each area is described.Environmental studieslmg107, sjm2103, sez2, cfr30, mac6Applied Physics and Applied Mathematics, International Research Institute for Climate and Society, Earth Institute, Earth and Environmental SciencesTechnical reports