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1. Full Text Statistical Modeling of Spatial Extremes
by A. C. Davison and S. A. Padoan and M. Ribatet
Statistical science, ISSN 0883-4237, 5/2012, Volume 27, Issue 2, pp. 161 - 186
Rain | Statistical models | Covariance | Correlations | Geostatistics | Mathematical independent variables | Inference | Spatial models | Mathematical maxima | Parametric models | Latent variable | Bayesian hierarchical model | Copula | Gaussian process | Statistics of extremes | Brown-Resnick process | Environmental data analysis | Composite likelihood | Annual maximum analysis | Max-stable process | Generalized extreme-value distribution | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Statistics - Methodology | geostatistics | composite likelihood | max-stable process | copula | environmental data analysis | generalized extreme-value distribution | Brown–Resnick process | statistics of extremes | latent variable
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2. Full Text Revisiting summertime hot extremes in China during 1961–2015: Overlooked compound extremes and significant changes
by Chen, Yang and Zhai, Panmao
Geophysical research letters, ISSN 0094-8276, 05/2017, Volume 44, Issue 10, pp. 5096 - 5103
type transition | masked significant change | severest extremes | hot extremes | climate change | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Temperature | Daytime | Night | Temperature effects | Spatial analysis | Dominance | Duration | Trends | Nighttime | Meteorology
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3. Full Text Variations of compound precipitation and temperature extremes in China during 1961–2014
by Wu, Xinying and Hao, Zengchao and Hao, Fanghua and Zhang, Xuan
The Science of the total environment, ISSN 0048-9697, 05/2019, Volume 663, pp. 731 - 737
Climate change | Frequency | Compound extremes | Spatial extent | Environmental Sciences & Ecology | Life Sciences & Biomedicine | Science & Technology | Environmental Sciences | Precipitation variability | Precipitation (Meteorology)
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4. Full Text Dependence modelling for spatial extremes
by JENNIFER L. WADSWORTH and JONATHAN A. TAWN
Biometrika, ISSN 0006-3444, 6/2012, Volume 99, Issue 2, pp. 253 - 272
Statistical models | Conditional probabilities | Stochastic processes | Inference | Mathematical independent variables | Mathematical functions | Spatial models | Mathematical maxima | Parametric models | Distribution functions | Max-stable process | Spatial extreme value theory | Significant wave height | Asymptotic independence | Extremal dependence | Statistics & Probability | Physical Sciences | Life Sciences & Biomedicine | Biology | Life Sciences & Biomedicine - Other Topics | Mathematics | Science & Technology | Mathematical & Computational Biology | General topics | Applications | Global analysis, analysis on manifolds | Exact sciences and technology | Probability theory and stochastic processes | Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds | Probability and statistics | Statistics | Biology, psychology, social sciences | Sciences and techniques of general use | Mathematical problems | Studies | Mathematical models | Multivariate analysis | Data processing | Waves | Models
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5. Full Text Spatial Variability and Linkage Between Extreme Convections and Extreme Precipitation Revealed by 22‐Year Space‐Borne Precipitation Radar Data
by Wang, Tsechun and Tang, Guoqiang
Geophysical research letters, ISSN 0094-8276, 06/2020, Volume 47, Issue 12, p. n/a
precipitation radar | remote sensing | extreme precipitation | extreme convections | hydrology | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Measurement | Correlation | Spatial variability | Radar data | Tropical rainfall | Global precipitation | Weather extremes | Convection | Seasonal variations | Precipitation | Rain | Radar | Tropical environment | Atmospheric precipitations | Records | Extreme values | Oceans | Rainfall | Diurnal | Physical properties | Satellites | Hydrologic data | Spatial distribution | Tropical Rainfall Measuring Mission (TRMM) | Spatial variations | Tropical environments | Frequency
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6. Full Text Hydrologic extremes - An intercomparison of multiple gridded statistical downscaling methods
by Werner, Arelia T and Cannon, Alex J
Hydrology and earth system sciences, ISSN 1027-5606, 04/2016, Volume 20, Issue 4, pp. 1483 - 1508
Geosciences, Multidisciplinary | Water Resources | Physical Sciences | Geology | Science & Technology | Hydrology | Analysis | Methods | Temperature | Climate | Methodology | Atmospheric models | Bias | Statistical methods | Properties | Tests | Datasets | Intercomparison | Climatic extremes | Precipitation | Historical account | Capacity | Reliability analysis | Climatic indexes | Hydrologic models | Environmental assessment | Evaluation | Statistical analysis | Probability theory | Rainfall | Disaggregation | Climate models | Data | Low flow | Rivers | River basins | Statistics | Climate change | Hydrologic data | Spatial distribution | Data sets | Maximum temperatures | Homogeneity | Infiltration | Models | Infiltration capacity | Stream flow | Mapping | Calibration
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7. Full Text Thermal variation, thermal extremes and the physiological performance of individuals
by Dowd, W. Wesley and King, Felicia A and Denny, Mark W
Journal of experimental biology, ISSN 0022-0949, 06/2015, Volume 218, Issue 12, pp. 1956 - 1967
Jensen's inequality | Extreme events | Environmental bootstrap | Thermal performance curve | Scale transition theory | Thermal biology | Spatial variation | Biology | Life Sciences & Biomedicine - Other Topics | Life Sciences & Biomedicine | Science & Technology | Adaptation, Physiological | Biological Evolution | Temperature | Animals | Climate Change | Time Factors | Environment | Body Temperature - physiology | Influence | Usage | Climatic changes | Research | Poisson distribution | Index Medicus
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8. Full Text Trends in temperature extremes and their association with circulation patterns in China during 1961–2015
by Shi, Jun and Cui, Linli and Ma, Yue and Du, Huaqiang and Wen, Kangmin
Atmospheric research, ISSN 0169-8095, 11/2018, Volume 212, pp. 259 - 272
Circulation patterns | Temporal variations | Spatial trends | Temperature extremes | China | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Weather | Analysis | Climate cycles
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9. Full Text High-Resolution Temperature Datasets in Portugal from a Geostatistical Approach
: Variability and Extremes
by A. R. Fonseca and J. A. Santos
Journal of applied meteorology and climatology, ISSN 1558-8424, 3/2018, Volume 57, Issue 3, pp. 627 - 644
ARTICLES | Climatology | Temperature | Interpolation schemes | Statistical techniques | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Usage | Climatic changes | Statistical methods | Research | Multivariate analysis | Climatic analysis | High resolution | Spatial variability | Variability | Seasonality | Kriging interpolation | Weather stations | Weather extremes | Datasets | Climatic extremes | Regressions | Seasonal variations | Precipitation | Rain | Temporal variability | Temperature effects | Climate variability | Air temperature | Agriculture | Trends | Temporal variations | Temperature anomalies | Statistical analysis | Interannual variability | Geostatistics | Rainfall | Ecology | Regression analysis | Ocean bottom seismometers | Temperature variability | Weather | Studies | Hydrology | Climate change | Spatial distribution | Spatial variations | Data sets | Annual variations | Forestry | Spatial resolution | Methods | Corrections | Resolution | Anomalies
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