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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 | 4,519 views
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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 | 3,775 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 | 3,574 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 | 3,566 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 | 3,464 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 | 3,321 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 | 3,249 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 | 2,970 views
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 | 2,105 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 | 2,051 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 | 1,807 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 | 1,781 views
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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 | 1,705 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 | 1,701 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 | 1,626 views
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 | 1,596 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 | 1,552 views
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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 | 1,481 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 | 1,478 views
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 | 1,394 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 | 1,330 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 | 1,309 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 | 1,214 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 | 1,131 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 | 1,060 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 | 1,060 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 | 1,060 views
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 | 1,056 views
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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 | 983 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 | 877 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 | 838 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 | 782 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 | 763 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 | 729 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 | 691 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 | 670 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 | 628 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 | 361 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 | 268 views
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06 Mar 2020
Using wavelets to verify the scale structure of precipitation forecasts
Sebastian Buschow and Petra Friederichs
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 13–30, https://doi.org/10.5194/ascmo-6-13-2020,https://doi.org/10.5194/ascmo-6-13-2020, 2020 | 263 views
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30 Apr 2020
Possible impacts of climate change on fog in the Arctic and subpolar North Atlantic
Richard E. Danielson, Minghong Zhang, and William A. Perrie
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 31–43, https://doi.org/10.5194/ascmo-6-31-2020,https://doi.org/10.5194/ascmo-6-31-2020, 2020 | 204 views
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11 May 2020
Postprocessing ensemble forecasts of vertical temperature profiles
David Schoenach, Thorsten Simon, and Georg Johann Mayr
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 45–60, https://doi.org/10.5194/ascmo-6-45-2020,https://doi.org/10.5194/ascmo-6-45-2020, 2020 | 195 views
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08 Jun 2020
Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany
Meagan Carney and Holger Kantz
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 61–77, https://doi.org/10.5194/ascmo-6-61-2020,https://doi.org/10.5194/ascmo-6-61-2020, 2020 | 127 views
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