Works matching AU Stephenson, David B.
Results: 72
On the temporal clustering of US floods and its relationship to climate teleconnection patterns.
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- International Journal of Climatology, 2013, v. 33, n. 3, p. 629, doi. 10.1002/joc.3458
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Estimation of trends in extreme melt-season duration at Svalbard.
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- International Journal of Climatology, 2012, v. 32, n. 14, p. 2227, doi. 10.1002/joc.3395
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- Article
Impact of Labrador sea-ice extent on the North Atlantic oscillation.
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- International Journal of Climatology, 2004, v. 24, n. 5, p. 603, doi. 10.1002/joc.1015
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Mediated and direct effects of the North Atlantic Ocean on winter temperatures in northwest Europe.
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- International Journal of Climatology, 2003, v. 23, n. 3, p. 245, doi. 10.1002/joc.867
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Three recommendations for evaluating climate predictions.
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- Meteorological Applications, 2013, v. 20, n. 2, p. 246, doi. 10.1002/met.1409
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Assessing and reporting the quality of commercial weather forecasts.
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- Meteorological Applications, 2008, v. 15, n. 4, p. 423, doi. 10.1002/met.85
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How to judge the quality and value of weather forecast products.
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- Meteorological Applications, 2001, v. 8, n. 3, p. 307, doi. 10.1017/S1350482701003061
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Calibration of Probabilistic Forecasts of Binary Events.
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- Monthly Weather Review, 2009, v. 137, n. 3, p. 1142, doi. 10.1175/2008MWR2579.1
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Proper Scores for Probability Forecasts Can Never Be Equitable.
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- Monthly Weather Review, 2008, v. 136, n. 4, p. 1505, doi. 10.1175/2007MWR2194.1
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Serial Clustering of Extratropical Cyclones.
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- Monthly Weather Review, 2006, v. 134, n. 8, p. 2224, doi. 10.1175/MWR3160.1
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Comments on 'H. L. Wagner's Unbiased Hit Rate and the Assessment of Categorical Forecasting Accuracy'.
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- Weather & Forecasting, 2014, v. 29, n. 3, p. 763, doi. 10.1175/WAF-D-14-00004.1
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Extremal Dependence Indices: Improved Verification Measures for Deterministic Forecasts of Rare Binary Events.
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- Weather & Forecasting, 2011, v. 26, n. 5, p. 699, doi. 10.1175/WAF-D-10-05030.1
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Equitability Revisited: Why the “Equitable Threat Score” Is Not Equitable.
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- Weather & Forecasting, 2010, v. 25, n. 2, p. 710, doi. 10.1175/2009WAF2222350.1
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Comments on “Discussion of Verification Concepts in Forecast Verification: A Practitioner’s Guide in Atmospheric Science”.
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- Weather & Forecasting, 2005, v. 20, n. 5, p. 796, doi. 10.1175/WAF877.1
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Use of the 'Odds Ratio' for Diagnosing Forecast Skill.
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- Weather & Forecasting, 2000, v. 15, n. 2, p. 221, doi. 10.1175/1520-0434(2000)015<0221:UOTORF>2.0.CO;2
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Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil.
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- eLife, 2016, p. 1, doi. 10.7554/eLife.11285
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Estimates of past and future ozone trends from multimodel simulations using a flexible smoothing spline methodology.
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- Journal of Geophysical Research. Atmospheres, 2010, v. 115, n. D3, p. n/a, doi. 10.1029/2009JD013622
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Evidence of trends in daily climate extremes over southern and west Africa.
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- Journal of Geophysical Research. Atmospheres, 2006, v. 111, n. D14, p. n/a, doi. 10.1029/2005JD006289
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An Adaptive Markov Chain Approach for Probabilistic Forecasting of Categorical Events.
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- Monthly Weather Review, 2020, v. 148, n. 9, p. 3681, doi. 10.1175/MWR-D-19-0239.1
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Detecting Improvements in Forecast Correlation Skill: Statistical Testing and Power Analysis.
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- Monthly Weather Review, 2017, v. 145, n. 2, p. 437, doi. 10.1175/MWR-D-16-0037.1
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Inherent Bounds on Forecast Accuracy due to Observation Uncertainty Caused by Temporal Sampling.
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- Monthly Weather Review, 2015, v. 143, n. 10, p. 4236, doi. 10.1175/MWR-D-15-0173.1
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The development of an early warning system for climate-sensitive disease risk with a focus on dengue epidemics in Southeast Brazil The development of an early warning system for climate-sensitive disease risk with a focus on dengue epidemics in Southeast Brazil
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- Statistics in Medicine, 2013, v. 32, n. 5, p. 864, doi. 10.1002/sim.5549
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Is the North Atlantic Oscillation a random walk?
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- International Journal of Climatology, 2000, v. 20, n. 1, p. 1, doi. 10.1002/(SICI)1097-0088(200001)20:1<1::AID-JOC456>3.0.CO;2-P
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Return levels of extreme European windstorms, their dependency on the NAO, and potential future risks.
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- Natural Hazards & Earth System Sciences Discussions, 2023, p. 1, doi. 10.5194/nhess-2023-22
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More Accurate Climate Trend Attribution by Using Cointegrating Vector Time Series Models.
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- Sustainability (2071-1050), 2023, v. 15, n. 16, p. 12142, doi. 10.3390/su151612142
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The impact of changing the horizontal diffusion scheme on the northern winter climatology of a general circulation model.
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- Quarterly Journal of the Royal Meteorological Society, 1995, v. 121, n. 521, p. 211, doi. 10.1002/qj.49712152110
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The northern hemisphere tropospheric response to changes in the gravity-wave drag scheme in a perpetual January GCM.
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- Quarterly Journal of the Royal Meteorological Society, 1994, v. 120, n. 517, p. 699, doi. 10.1002/qj.49712051709
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Empirical Orthogonal Functions: The Medium is the Message.
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- Journal of Climate, 2009, v. 22, n. 24, p. 6501, doi. 10.1175/2009JCLI3062.1
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Spatial Weighting and Iterative Projection Methods for EOFs.
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- Journal of Climate, 2009, v. 22, n. 2, p. 234, doi. 10.1175/2008JCLI2147.1
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Granger Causality of Coupled Climate Processes: Ocean Feedback on the North Atlantic Oscillation.
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- Journal of Climate, 2006, v. 19, n. 7, p. 1182, doi. 10.1175/JCLI3653.1
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Simple Nonparametric Techniques for Exploring Changing Probability Distributions of Weather.
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- Journal of Climate, 2005, v. 18, n. 21, p. 4344, doi. 10.1175/JCLI3518.1
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Observed Trends and Teleconnections of the Siberian High: A Recently Declining Center of Action.
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- Journal of Climate, 2005, v. 18, n. 9, p. 1411, doi. 10.1175/JCLI3352.1
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Atlantic Atmosphere–Ocean Interaction: A Stochastic Climate Model–Based Diagnosis.
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- Journal of Climate, 2005, v. 18, n. 7, p. 1086, doi. 10.1175/JCLI-3315.1
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CORRIGENDUM.
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- 2002
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- Erratum
Arctic Oscillation or North Atlantic Oscillation?
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- Journal of Climate, 2001, v. 14, n. 16, p. 3495, doi. 10.1175/1520-0442(2001)014<3495:AOONAO>2.0.CO;2
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Forced trends and internal variability in climate change projections of extreme European windstorm frequency and severity.
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- Quarterly Journal of the Royal Meteorological Society, 2024, v. 150, n. 765, p. 4933, doi. 10.1002/qj.4849
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The ensemble‐adjusted Ignorance Score for forecasts issued as normal distributions.
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- Quarterly Journal of the Royal Meteorological Society, 2019, v. 145, p. 129, doi. 10.1002/qj.3447
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New perspectives on the collective risk of extratropical cyclones.
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- Quarterly Journal of the Royal Meteorological Society, 2016, v. 142, n. 694, p. 243, doi. 10.1002/qj.2649
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The importance of sea ice area biases in 21st century multimodel projections of Antarctic temperature and precipitation.
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- Geophysical Research Letters, 2015, v. 42, n. 24, p. 10,832, doi. 10.1002/2015GL067055
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New Tools for Comparing Beliefs about the Timing of Recurrent Events with Climate Time Series Datasets.
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- Weather, Climate & Society, 2016, v. 8, n. 4, p. 493, doi. 10.1175/WCAS-D-15-0054.1
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Summer rainfall and wheat grain quality: Relationships with the North Atlantic Oscillation.
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- Weather (00431656), 2003, v. 58, n. 4, p. 155, doi. 10.1256/wea.38.02
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A statistical, machine learning framework for parametric risk transfer.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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State space models for non‐stationary intermittently coupled systems: an application to the North Atlantic oscillation.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 5, p. 1259, doi. 10.1111/rssc.12354
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On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models.
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- Journal of the American Statistical Association, 2021, v. 116, n. 534, p. 546, doi. 10.1080/01621459.2020.1851696
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- Article
Storm track signature in total ozone during northern hemisphere winter.
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- Geophysical Research Letters, 1998, v. 25, n. 13, p. 2413, doi. 10.1029/98GL01852
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Correlation of wind and precipitation annual aggregate severity of European cyclones.
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- Weather (00431656), 2024, v. 79, n. 6, p. 176, doi. 10.1002/wea.4573
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Time series modeling of paleoclimate data.
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- Environmetrics, 2016, v. 27, n. 1, p. 55, doi. 10.1002/env.2373
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Statistical problems in the probabilistic prediction of climate change Statistical problems in the probabilistic prediction of climate change.
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- Environmetrics, 2012, v. 23, n. 5, p. 364, doi. 10.1002/env.2153
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- Article
Return levels of extreme European windstorms, their dependency on the North Atlantic Oscillation, and potential future risks.
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- Natural Hazards & Earth System Sciences, 2023, v. 23, n. 12, p. 3845, doi. 10.5194/nhess-23-3845-2023
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- Article
Quantification of extremal dependence in spatial natural hazard footprints: independence of windstorm gust speeds and its impact on aggregate losses.
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- Natural Hazards & Earth System Sciences, 2018, v. 18, n. 11, p. 2933, doi. 10.5194/nhess-18-2933-2018
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