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Advances in Statistical Climatology, Meteorology and Oceanography An international open-access journal on applied statistics
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04 Feb 2019
NWP-based lightning prediction using flexible count data regression
Thorsten Simon, Georg J. Mayr, Nikolaus Umlauf, and Achim Zeileis
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 1–16, https://doi.org/10.5194/ascmo-5-1-2019,https://doi.org/10.5194/ascmo-5-1-2019, 2019 | 3,388 views
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22 May 2015
Bivariate spatial analysis of temperature and precipitation from general circulation models and observation proxies
R. Philbin and M. Jun
Adv. Stat. Clim. Meteorol. Oceanogr., 1, 29–44, https://doi.org/10.5194/ascmo-1-29-2015,https://doi.org/10.5194/ascmo-1-29-2015, 2015 | 2,838 views
05 Dec 2018
Downscaling probability of long heatwaves based on seasonal mean daily maximum temperatures
Rasmus E. Benestad, Bob van Oort, Flavio Justino, Frode Stordal, Kajsa M. Parding, Abdelkader Mezghani, Helene B. Erlandsen, Jana Sillmann, and Milton E. Pereira-Flores
Adv. Stat. Clim. Meteorol. Oceanogr., 4, 37–52, https://doi.org/10.5194/ascmo-4-37-2018,https://doi.org/10.5194/ascmo-4-37-2018, 2018 | 2,671 views
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27 May 2019
Comparison and assessment of large-scale surface temperature in climate model simulations
Raquel Barata, Raquel Prado, and Bruno Sansó
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 67–85, https://doi.org/10.5194/ascmo-5-67-2019,https://doi.org/10.5194/ascmo-5-67-2019, 2019 | 2,567 views
10 Apr 2019
Future climate emulations using quantile regressions on large ensembles
Matz A. Haugen, Michael L. Stein, Ryan L. Sriver, and Elisabeth J. Moyer
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 37–55, https://doi.org/10.5194/ascmo-5-37-2019,https://doi.org/10.5194/ascmo-5-37-2019, 2019 | 2,478 views
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14 Dec 2018
Hourly probabilistic snow forecasts over complex terrain: a hybrid ensemble postprocessing approach
Reto Stauffer, Georg J. Mayr, Jakob W. Messner, and Achim Zeileis
Adv. Stat. Clim. Meteorol. Oceanogr., 4, 65–86, https://doi.org/10.5194/ascmo-4-65-2018,https://doi.org/10.5194/ascmo-4-65-2018, 2018 | 2,455 views
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16 Apr 2019
Fitting a stochastic fire spread model to data
X. Joey Wang, John R. J. Thompson, W. John Braun, and Douglas G. Woolford
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 57–66, https://doi.org/10.5194/ascmo-5-57-2019,https://doi.org/10.5194/ascmo-5-57-2019, 2019 | 2,304 views
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12 Mar 2019
Influence of initial ocean conditions on temperature and precipitation in a coupled climate model's solution
Robin Tokmakian and Peter Challenor
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 17–35, https://doi.org/10.5194/ascmo-5-17-2019,https://doi.org/10.5194/ascmo-5-17-2019, 2019 | 2,235 views
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24 Jun 2019
Low-visibility forecasts for different flight planning horizons using tree-based boosting models
Sebastian J. Dietz, Philipp Kneringer, Georg J. Mayr, and Achim Zeileis
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 101–114, https://doi.org/10.5194/ascmo-5-101-2019,https://doi.org/10.5194/ascmo-5-101-2019, 2019 | 1,807 views
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18 Jul 2019
Bivariate Gaussian models for wind vectors in a distributional regression framework
Moritz N. Lang, Georg J. Mayr, Reto Stauffer, and Achim Zeileis
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 115–132, https://doi.org/10.5194/ascmo-5-115-2019,https://doi.org/10.5194/ascmo-5-115-2019, 2019 | 1,788 views
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18 Apr 2016
Building a traceable climate model hierarchy with multi-level emulators
Giang T. Tran, Kevin I. C. Oliver, András Sóbester, David J. J. Toal, Philip B. Holden, Robert Marsh, Peter Challenor, and Neil R. Edwards
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 17–37, https://doi.org/10.5194/ascmo-2-17-2016,https://doi.org/10.5194/ascmo-2-17-2016, 2016 | 1,669 views
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22 Aug 2018
The joint influence of break and noise variance on the break detection capability in time series homogenization
Ralf Lindau and Victor Karel Christiaan Venema
Adv. Stat. Clim. Meteorol. Oceanogr., 4, 1–18, https://doi.org/10.5194/ascmo-4-1-2018,https://doi.org/10.5194/ascmo-4-1-2018, 2018 | 1,589 views
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30 Nov 2018
Estimates of climate system properties incorporating recent climate change
Alex G. Libardoni, Chris E. Forest, Andrei P. Sokolov, and Erwan Monier
Adv. Stat. Clim. Meteorol. Oceanogr., 4, 19–36, https://doi.org/10.5194/ascmo-4-19-2018,https://doi.org/10.5194/ascmo-4-19-2018, 2018 | 1,548 views
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01 Jul 2016
Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions
Whitney K. Huang, Michael L. Stein, David J. McInerney, Shanshan Sun, and Elisabeth J. Moyer
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 79–103, https://doi.org/10.5194/ascmo-2-79-2016,https://doi.org/10.5194/ascmo-2-79-2016, 2016 | 1,514 views
18 Jun 2019
Skewed logistic distribution for statistical temperature post-processing in mountainous areas
Manuel Gebetsberger, Reto Stauffer, Georg J. Mayr, and Achim Zeileis
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 87–100, https://doi.org/10.5194/ascmo-5-87-2019,https://doi.org/10.5194/ascmo-5-87-2019, 2019 | 1,503 views
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17 Nov 2015
Characterization of extreme precipitation within atmospheric river events over California
S. Jeon, Prabhat, S. Byna, J. Gu, W. D. Collins, and M. F. Wehner
Adv. Stat. Clim. Meteorol. Oceanogr., 1, 45–57, https://doi.org/10.5194/ascmo-1-45-2015,https://doi.org/10.5194/ascmo-1-45-2015, 2015 | 1,487 views
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25 Mar 2015
Joint inference of misaligned irregular time series with application to Greenland ice core data
T. K. Doan, J. Haslett, and A. C. Parnell
Adv. Stat. Clim. Meteorol. Oceanogr., 1, 15–27, https://doi.org/10.5194/ascmo-1-15-2015,https://doi.org/10.5194/ascmo-1-15-2015, 2015 | 1,393 views
18 Apr 2017
A statistical framework for conditional extreme event attribution
Pascal Yiou, Aglaé Jézéquel, Philippe Naveau, Frederike E. L. Otto, Robert Vautard, and Mathieu Vrac
Adv. Stat. Clim. Meteorol. Oceanogr., 3, 17–31, https://doi.org/10.5194/ascmo-3-17-2017,https://doi.org/10.5194/ascmo-3-17-2017, 2017 | 1,374 views
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06 Dec 2018
An integration and assessment of multiple covariates of nonstationary storm surge statistical behavior by Bayesian model averaging
Tony E. Wong
Adv. Stat. Clim. Meteorol. Oceanogr., 4, 53–63, https://doi.org/10.5194/ascmo-4-53-2018,https://doi.org/10.5194/ascmo-4-53-2018, 2018 | 1,371 views
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26 Feb 2015
Simulation of future climate under changing temporal covariance structures
W. B. Leeds, E. J. Moyer, and M. L. Stein
Adv. Stat. Clim. Meteorol. Oceanogr., 1, 1–14, https://doi.org/10.5194/ascmo-1-1-2015,https://doi.org/10.5194/ascmo-1-1-2015, 2015 | 1,300 views
09 Jun 2017
Estimating trends in the global mean temperature record
Andrew Poppick, Elisabeth J. Moyer, and Michael L. Stein
Adv. Stat. Clim. Meteorol. Oceanogr., 3, 33–53, https://doi.org/10.5194/ascmo-3-33-2017,https://doi.org/10.5194/ascmo-3-33-2017, 2017 | 1,216 views
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16 Dec 2015
Autoregressive spatially varying coefficients model for predicting daily PM2.5 using VIIRS satellite AOT
E. M. Schliep, A. E. Gelfand, and D. M. Holland
Adv. Stat. Clim. Meteorol. Oceanogr., 1, 59–74, https://doi.org/10.5194/ascmo-1-59-2015,https://doi.org/10.5194/ascmo-1-59-2015, 2015 | 1,110 views
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18 Jul 2019
Approaches to attribution of extreme temperature and precipitation events using multi-model and single-member ensembles of general circulation models
Sophie C. Lewis, Sarah E. Perkins-Kirkpatrick, and Andrew D. King
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 133–146, https://doi.org/10.5194/ascmo-5-133-2019,https://doi.org/10.5194/ascmo-5-133-2019, 2019 | 1,043 views
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14 Jul 2017
Assessing NARCCAP climate model effects using spatial confidence regions
Joshua P. French, Seth McGinnis, and Armin Schwartzman
Adv. Stat. Clim. Meteorol. Oceanogr., 3, 67–92, https://doi.org/10.5194/ascmo-3-67-2017,https://doi.org/10.5194/ascmo-3-67-2017, 2017 | 1,023 views
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27 Jan 2017
Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression
John Tipton, Mevin Hooten, and Simon Goring
Adv. Stat. Clim. Meteorol. Oceanogr., 3, 1–16, https://doi.org/10.5194/ascmo-3-1-2017,https://doi.org/10.5194/ascmo-3-1-2017, 2017 | 959 views
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04 Nov 2016
Evaluating NARCCAP model performance for frequencies of severe-storm environments
Eric Gilleland, Melissa Bukovsky, Christopher L. Williams, Seth McGinnis, Caspar M. Ammann, Barbara G. Brown, and Linda O. Mearns
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 137–153, https://doi.org/10.5194/ascmo-2-137-2016,https://doi.org/10.5194/ascmo-2-137-2016, 2016 | 957 views
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29 Feb 2016
Comparison of hidden and observed regime-switching autoregressive models for (u, v)-components of wind fields in the northeastern Atlantic
Julie Bessac, Pierre Ailliot, Julien Cattiaux, and Valerie Monbet
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 1–16, https://doi.org/10.5194/ascmo-2-1-2016,https://doi.org/10.5194/ascmo-2-1-2016, 2016 | 952 views
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24 Jun 2016
A comparison of two methods for detecting abrupt changes in the variance of climatic time series
Sergei N. Rodionov
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 63–78, https://doi.org/10.5194/ascmo-2-63-2016,https://doi.org/10.5194/ascmo-2-63-2016, 2016 | 944 views
09 Jun 2016
Calibrating regionally downscaled precipitation over Norway through quantile-based approaches
David Bolin, Arnoldo Frigessi, Peter Guttorp, Ola Haug, Elisabeth Orskaug, Ida Scheel, and Jonas Wallin
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 39–47, https://doi.org/10.5194/ascmo-2-39-2016,https://doi.org/10.5194/ascmo-2-39-2016, 2016 | 875 views
02 Aug 2016
A space–time statistical climate model for hurricane intensification in the North Atlantic basin
Erik Fraza, James B. Elsner, and Thomas H. Jagger
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 105–114, https://doi.org/10.5194/ascmo-2-105-2016,https://doi.org/10.5194/ascmo-2-105-2016, 2016 | 767 views
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12 Oct 2016
Mixture model-based atmospheric air mass classification: a probabilistic view of thermodynamic profiles
Jérôme Pernin, Mathieu Vrac, Cyril Crevoisier, and Alain Chédin
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 115–136, https://doi.org/10.5194/ascmo-2-115-2016,https://doi.org/10.5194/ascmo-2-115-2016, 2016 | 724 views
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14 Jun 2017
Generalised block bootstrap and its use in meteorology
László Varga and András Zempléni
Adv. Stat. Clim. Meteorol. Oceanogr., 3, 55–66, https://doi.org/10.5194/ascmo-3-55-2017,https://doi.org/10.5194/ascmo-3-55-2017, 2017 | 680 views
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10 Jun 2016
A path towards uncertainty assignment in an operational cloud-phase algorithm from ARM vertically pointing active sensors
Laura D. Riihimaki, Jennifer M. Comstock, Kevin K. Anderson, Aimee Holmes, and Edward Luke
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 49–62, https://doi.org/10.5194/ascmo-2-49-2016,https://doi.org/10.5194/ascmo-2-49-2016, 2016 | 664 views
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26 Oct 2017
Probabilistic evaluation of competing climate models
Amy Braverman, Snigdhansu Chatterjee, Megan Heyman, and Noel Cressie
Adv. Stat. Clim. Meteorol. Oceanogr., 3, 93–105, https://doi.org/10.5194/ascmo-3-93-2017,https://doi.org/10.5194/ascmo-3-93-2017, 2017 | 634 views
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14 Nov 2016
Analysis of variability of tropical Pacific sea surface temperatures
Georgina Davies and Noel Cressie
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 155–169, https://doi.org/10.5194/ascmo-2-155-2016,https://doi.org/10.5194/ascmo-2-155-2016, 2016 | 591 views
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14 Dec 2016
Weak constraint four-dimensional variational data assimilation in a model of the California Current System
William J. Crawford, Polly J. Smith, Ralph F. Milliff, Jerome Fiechter, Christopher K. Wikle, Christopher A. Edwards, and Andrew M. Moore
Adv. Stat. Clim. Meteorol. Oceanogr., 2, 171–192, https://doi.org/10.5194/ascmo-2-171-2016,https://doi.org/10.5194/ascmo-2-171-2016, 2016 | 566 views
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21 Nov 2019
Automated detection of weather fronts using a deep learning neural network
James C. Biard and Kenneth E. Kunkel
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 147–160, https://doi.org/10.5194/ascmo-5-147-2019,https://doi.org/10.5194/ascmo-5-147-2019, 2019 | 343 views
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26 Nov 2019
An improved projection of climate observations for detection and attribution
Alexis Hannart
Adv. Stat. Clim. Meteorol. Oceanogr., 5, 161–171, https://doi.org/10.5194/ascmo-5-161-2019,https://doi.org/10.5194/ascmo-5-161-2019, 2019 | 111 views
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28 Feb 2020
Spatial trend analysis of gridded temperature data at varying spatial scales
Ola Haug, Thordis L. Thorarinsdottir, Sigrunn H. Sørbye, and Christian L. E. Franzke
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 1–12, https://doi.org/10.5194/ascmo-6-1-2020,https://doi.org/10.5194/ascmo-6-1-2020, 2020 | 81 views
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