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2006, 2nd ed., International geophysics series, ISBN 0127519661, Volume 91, xvii, 627
Book
1995, International geophysics series, ISBN 9780127519654, Volume 59, 481
This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students,... 
Atmospheric physics | Statistical methods | Earth Sciences | Geophysics
eBook
Journal of Climate, ISSN 0894-8755, 4/2016, Volume 29, Issue 8, pp. 3049 - 3056
Principal component analysis (PCA), also known as empirical orthogonal function (EOF) analysis, is widely used for compression of high-dimensional datasets in... 
Algorithms | Observational techniques and algorithms | Data processing | Principal components analysis | Mathematical and statistical techniques | Empirical orthogonal functions | Statistical techniques | Hypothesis testing | Economic models | Climate | Hypotheses | Noise | Oceanography | Methods | Eigen values
Journal Article
2018, 1st edition., ISBN 9780128123720, xii, 347 pages
This volume brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical... 
Prévision | Prévision statistique | Weather forecasting | Statistical weather forecasting | Temps (Météorologie) | Forecasting
Book
2011, 3rd ed., International geophysics series, ISBN 0123850223, Volume 100., xix, 676
Praise for the First Edition:"I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base... 
statistical analysis | atmospheric sciences | atmospheric physics | Atmospheric physics
Book
Journal of Applied Meteorology and Climatology, ISSN 1558-8424, 8/2013, Volume 52, Issue 8, pp. 1677 - 1687
Eleven alternatives to the annually updated 30-yr average for specifying climate "normals" are considered for the purpose of projecting nonstationarity in the... 
Datasets | Climate change | Climate | Global climate models | Homogenization | Surface temperature | Seasons | Arithmetic mean | Estimation methods | Meteorology | Hindcasts | SERIES | Seasonal forecasting | Time series | Changepoint analysis | Regression analysis | METEOROLOGY & ATMOSPHERIC SCIENCES | Influence | Usage | Climatic changes | Atmospheric temperature | Studies | Cold | Bias | Stations | Climatology | Errors | Tracking | Specifications | Tradeoffs | Springs
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 04/2015, Volume 141, Issue 688, pp. 945 - 952
Journal Article
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, ISSN 1364-503X, 07/2008, Volume 366, Issue 1875, pp. 2475 - 2490
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2018, Volume 144, Issue 710, pp. 76 - 84
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2017, Volume 143, Issue 702, pp. 164 - 172
Journal Article
International Journal of Climatology, ISSN 0899-8418, 04/2014, Volume 34, Issue 5, pp. 1405 - 1413
ABSTRACT Canonical correlation analysis (CCA) is a higher‐dimensional extension of univariate multiple regression that is often used to construct seasonal and... 
canonical correlation | probability forecasting | El Niño | Modoki | Canonical correlation | Probability forecasting | UNITED-STATES | El Nino | SKILL | ENSO | METEOROLOGY & ATMOSPHERIC SCIENCES | CLIMATE VARIABILITY | EL-NINO | PREDICTION | Correlation analysis | Ocean temperature
Journal Article
Water Resources Research, ISSN 0043-1397, 10/2009, Volume 45, Issue 10, pp. W10419 - n/a
Journal Article
Monthly Weather Review, ISSN 0027-0644, 06/2007, Volume 135, Issue 6, pp. 2379 - 2390
Three recently proposed and promising methods for postprocessing ensemble forecasts based on their historical error characteristics (i.e., ensemble-model... 
PRECIPITATION FORECASTS | PREDICTION SYSTEM | WEATHER | DRESSING KERNEL | ECMWF | MODEL OUTPUT STATISTICS | HORIZONTAL RESOLUTION | SINGULAR VECTORS | PROBABILISTIC FORECASTS | METEOROLOGY & ATMOSPHERIC SCIENCES | UMOS SYSTEM | Studies | Dependent sample | Models | Standard deviation | Systems development | Methods | Independent sample
Journal Article
Wiley Interdisciplinary Reviews: Climate Change, ISSN 1757-7780, 05/2012, Volume 3, Issue 3, pp. 267 - 278
Journal Article
Monthly Weather Review, ISSN 0027-0644, 01/2014, Volume 142, Issue 1, pp. 448 - 456
To achieve well-calibrated probabilistic forecasts, ensemble forecasts are often statistically postprocessed. One recent ensemble-calibration method is... 
models | PROBABILISTIC PRECIPITATION FORECASTS | OUTPUT | Probability forecasts | REFORECASTS | MOS METHODS | distribution | Statistical forecasting | Forecasting | Ensembles | Statistical techniques | Model output statistics | METEOROLOGY & ATMOSPHERIC SCIENCES | Studies | Variables | Regression analysis | Weather forecasting | Generalized linear models | Methods
Journal Article
Weather and Forecasting, ISSN 0882-8156, 2013, Volume 28, Issue 5, pp. 1210 - 1218
Full exposition of the performance of a set of forecasts requires examination of the joint frequency distribution of those forecasts and their corresponding... 
NORMALS | Seasonal forecasting | skill | FRAMEWORK | Forecast verification | Statistical techniques | DIAGNOSTIC VERIFICATION | METEOROLOGY & ATMOSPHERIC SCIENCES | CLIMATE | Probability | Economic models | Frequency distribution
Journal Article
Monthly Weather Review, ISSN 0027-0644, 2014, Volume 142, Issue 8, pp. 3003 - 3014
Extended logistic regression is a recent ensemble calibration method that extends logistic regression to provide full continuous probability distribution... 
REFORECASTS | PROBABILISTIC PRECIPITATION FORECASTS | MODELS | METEOROLOGY & ATMOSPHERIC SCIENCES | ENSEMBLE-MOS METHODS | OUTPUT | Variables | Probability | Statistical methods | Regression analysis | Weather forecasting | Generalized linear models | Weather | Climatology | Categories | Regression | Mathematical models | Probability distribution | Logistics
Journal Article