Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
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10 Nov 2020
A protocol for probabilistic extreme event attribution analyses
Sjoukje Philip, Sarah Kew, Geert Jan van Oldenborgh, Friederike Otto, Robert Vautard, Karin van der Wiel, Andrew King, Fraser Lott, Julie Arrighi, Roop Singh, and Maarten van Aalst
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 177–203, https://doi.org/10.5194/ascmo-6-177-2020,https://doi.org/10.5194/ascmo-6-177-2020, 2020 | 20,908 views
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13 Jun 2022
A multi-method framework for global real-time climate attribution
Daniel M. Gilford, Andrew Pershing, Benjamin H. Strauss, Karsten Haustein, and Friederike E. L. Otto
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 135–154, https://doi.org/10.5194/ascmo-8-135-2022,https://doi.org/10.5194/ascmo-8-135-2022, 2022 | 9,129 views
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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 | 7,515 views
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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 | 6,078 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 | 6,036 views
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12 Oct 2020
Comparing climate time series – Part 1: Univariate test
Timothy DelSole and Michael K. Tippett
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 159–175, https://doi.org/10.5194/ascmo-6-159-2020,https://doi.org/10.5194/ascmo-6-159-2020, 2020 | 5,835 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 | 5,545 views
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 | 5,345 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 | 5,298 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 | 5,289 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 | 5,098 views
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22 Dec 2020
A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5
Katherine Dagon, Benjamin M. Sanderson, Rosie A. Fisher, and David M. Lawrence
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 223–244, https://doi.org/10.5194/ascmo-6-223-2020,https://doi.org/10.5194/ascmo-6-223-2020, 2020 | 4,600 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 | 4,450 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 | 4,156 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 | 4,067 views
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 | 4,012 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 | 3,985 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 | 3,727 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 | 3,589 views
06 Oct 2020
The effect of geographic sampling on evaluation of extreme precipitation in high-resolution climate models
Mark D. Risser and Michael F. Wehner
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 115–139, https://doi.org/10.5194/ascmo-6-115-2020,https://doi.org/10.5194/ascmo-6-115-2020, 2020 | 3,588 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 | 3,586 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 | 3,487 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 | 3,434 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 | 3,403 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 | 3,276 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 | 3,187 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 | 2,910 views
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18 Nov 2020
Nonstationary extreme value analysis for event attribution combining climate models and observations
Yoann Robin and Aurélien Ribes
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 205–221, https://doi.org/10.5194/ascmo-6-205-2020,https://doi.org/10.5194/ascmo-6-205-2020, 2020 | 2,838 views
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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 | 2,664 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 | 2,450 views
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 | 2,434 views
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 | 2,365 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 | 2,336 views
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15 Mar 2022
Spatial heterogeneity in rain-bearing winds, seasonality and rainfall variability in southern Africa's winter rainfall zone
Willem Stefaan Conradie, Piotr Wolski, and Bruce Charles Hewitson
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 31–62, https://doi.org/10.5194/ascmo-8-31-2022,https://doi.org/10.5194/ascmo-8-31-2022, 2022 | 2,297 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 | 2,286 views
15 Mar 2022
Spatial heterogeneity of 2015–2017 drought intensity in South Africa's winter rainfall zone
Willem Stefaan Conradie​​​​​​​, Piotr Wolski, and Bruce Charles Hewitson
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 63–81, https://doi.org/10.5194/ascmo-8-63-2022,https://doi.org/10.5194/ascmo-8-63-2022, 2022 | 2,200 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 | 2,169 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 | 2,156 views
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21 Apr 2021
A generalized Spatio-Temporal Threshold Clustering method for identification of extreme event patterns
Vitaly Kholodovsky and Xin-Zhong Liang
Adv. Stat. Clim. Meteorol. Oceanogr., 7, 35–52, https://doi.org/10.5194/ascmo-7-35-2021,https://doi.org/10.5194/ascmo-7-35-2021, 2021 | 2,156 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 | 2,132 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 | 2,124 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 | 2,054 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 | 2,048 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 | 1,936 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 | 1,936 views
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16 Feb 2021
Novel measures for summarizing high-resolution forecast performance
Eric Gilleland
Adv. Stat. Clim. Meteorol. Oceanogr., 7, 13–34, https://doi.org/10.5194/ascmo-7-13-2021,https://doi.org/10.5194/ascmo-7-13-2021, 2021 | 1,911 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 | 1,861 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 | 1,780 views
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23 Jul 2020
A statistical approach to fast nowcasting of lightning potential fields
Joshua North, Zofia Stanley, William Kleiber, Wiebke Deierling, Eric Gilleland, and Matthias Steiner
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 79–90, https://doi.org/10.5194/ascmo-6-79-2020,https://doi.org/10.5194/ascmo-6-79-2020, 2020 | 1,742 views
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14 Feb 2022
A statistical framework for integrating nonparametric proxy distributions into geological reconstructions of relative sea level
Erica L. Ashe, Nicole S. Khan, Lauren T. Toth, Andrea Dutton, and Robert E. Kopp
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 1–29, https://doi.org/10.5194/ascmo-8-1-2022,https://doi.org/10.5194/ascmo-8-1-2022, 2022 | 1,739 views
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