Loading…
Interpreting extreme climate impacts from large ensemble simulations – are they unseen or unrealistic?
Large-ensemble climate model simulations can provide deeper understanding of the characteristics and causes of extreme events than historical observations, due to their larger sample size. However, adequate evaluation of simulated ‘unseen’ events that are more extreme than those seen in historical r...
Saved in:
Main Authors: | Timo Kelder, Niko Wanders, Karin van der Wiel, Tim Marjoribanks, Louise J Slater, Robert Wilby, Christel Prudhomme |
---|---|
Format: | Default Article |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/2134/19350497.v1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Loading…
Unseen or unrealistic? Using ensemble simulations to explore unseen weather extremes
by: Timo Kelder
Published: (2023)
by: Timo Kelder
Published: (2023)
Loading…
An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions
by: Timo Kelder, et al.
Published: (2022)
by: Timo Kelder, et al.
Published: (2022)
Loading…
Evaluation of the skill of North-American multi-model ensemble (NMME) global climate models in predicting average and extreme precipitation and temperature over the continental USA
by: Louise Slater, et al.
Published: (2016)
by: Louise Slater, et al.
Published: (2016)
Loading…
Using UNSEEN trends to detect decadal changes in 100-year precipitation extremes
by: Timo Kelder, et al.
Published: (2020)
by: Timo Kelder, et al.
Published: (2020)
Loading…
PIndroid: A novel Android malware detection system using ensemble learning
by: Fauzia Idrees, et al.
Published: (2017)
by: Fauzia Idrees, et al.
Published: (2017)
Loading…
Supplementary information files for An open workflow to gain insights about low-likelihood high-impact weather events from initialized predictions
by: Tim Marjoribanks
Published: (2022)
by: Tim Marjoribanks
Published: (2022)
Loading…
An attention-based ensemble model for emotion recognition in conversation
by: Misbah Farooq, et al.
Published: (2024)
by: Misbah Farooq, et al.
Published: (2024)
Loading…
Bias correction of daily precipitation simulated by a regional climate model: a comparison of methods
by: Thomas Lafon, et al.
Published: (2013)
by: Thomas Lafon, et al.
Published: (2013)
Loading…
Exploiting diversity for optimizing margin distribution in ensemble learning
by: Qinghua Hu, et al.
Published: (2014)
by: Qinghua Hu, et al.
Published: (2014)
Loading…
Hydroclimatology of extreme river flows
by: Grace Garner, et al.
Published: (2015)
by: Grace Garner, et al.
Published: (2015)
Loading…
Publisher Correction: The protective effect of endurance running against the pro-invasive effects of ageing in breast cancer cells and mesenchymal stem cells in vitro
by: Marie-Juliet Brown, et al.
Published: (2024)
by: Marie-Juliet Brown, et al.
Published: (2024)
Loading…
Moments of the eigenvalue densities and of the secular coefficients of β-ensembles
by: Francesco Mezzadri, et al.
Published: (2017)
by: Francesco Mezzadri, et al.
Published: (2017)
Loading…
Phased approach to assessment of power systems resilience and adaptation measures to extreme weather events
by: Francis Mujjuni, et al.
Published: (2022)
by: Francis Mujjuni, et al.
Published: (2022)
Loading…
Modelling ground-level ozone concentration using ensemble learning algorithms
by: Eman S. Al-Abri, et al.
Published: (2015)
by: Eman S. Al-Abri, et al.
Published: (2015)
Loading…
Ensemble based on randomised neural networks for online data stream regression in presence of concept drift
by: Ricardo de Almeida
Published: (2020)
by: Ricardo de Almeida
Published: (2020)
Loading…
Designing dwellings to cope with extreme heat in low-income communities
by: Ben M Roberts, et al.
Published: (2023)
by: Ben M Roberts, et al.
Published: (2023)
Loading…
Improvements in the accuracy and precision of isotope ratio measurements by double focussing inductively coupled plasma mass spectrometry
by: Christopher P. Ingle
Published: (2003)
by: Christopher P. Ingle
Published: (2003)
Loading…
Cities and extreme weather events: impacts of flooding and extreme heat on water and electricity services in Ghana
by: Sam Kayaga, et al.
Published: (2020)
by: Sam Kayaga, et al.
Published: (2020)
Loading…
Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling
by: Huili Chen, et al.
Published: (2018)
by: Huili Chen, et al.
Published: (2018)
Loading…
Car-following crash risk analysis in a connected environment: a Bayesian non-stationary generalised extreme value model
by: Faizan Nazir, et al.
Published: (2023)
by: Faizan Nazir, et al.
Published: (2023)
Loading…
An ensemble based on neural networks with random weights for online data stream regression
by: Ricardo De-Almeida, et al.
Published: (2019)
by: Ricardo De-Almeida, et al.
Published: (2019)
Loading…
Extreme flood sediment production and export controlled by reach-scale morphology
by: Edwin Baynes, et al.
Published: (2023)
by: Edwin Baynes, et al.
Published: (2023)
Loading…
Monitoring and moderating extreme indoor temperatures in low-income urban communities
by: Robert Wilby, et al.
Published: (2021)
by: Robert Wilby, et al.
Published: (2021)
Loading…
Vulnerability to extreme weather events in cities: implications for infrastructure and livelihoods
by: Katherine V. Gough, et al.
Published: (2019)
by: Katherine V. Gough, et al.
Published: (2019)
Loading…
Uganda’s hydropower system resilience to extreme climate variability
by: Francis Mujjuni, et al.
Published: (2023)
by: Francis Mujjuni, et al.
Published: (2023)
Loading…
Navigating cascades of uncertainty — as easy as ABC? Not quite…
by: Katie Smith, et al.
Published: (2018)
by: Katie Smith, et al.
Published: (2018)
Loading…
Impact of extreme weather conditions on healthcare provision in urban Ghana
by: Samuel N.A. Codjoe, et al.
Published: (2020)
by: Samuel N.A. Codjoe, et al.
Published: (2020)
Loading…
Crime, correction, and society / Elmer Hubert Johnson.
by: Johnson, Elmer Hubert
Published: (1968)
by: Johnson, Elmer Hubert
Published: (1968)
Loading…
Supplementary information files for 'An ensemble based on neural networks with random weights for online data stream regression'
by: Ricardo De-Almeida, et al.
Published: (2019)
by: Ricardo De-Almeida, et al.
Published: (2019)
Loading…
Concurrent wet and dry hydrological extremes at the global scale
by: Paolo De-Luca, et al.
Published: (2020)
by: Paolo De-Luca, et al.
Published: (2020)
Loading…
Media framing of far-right extremism and online radicalization in esport and gaming
by: Holly Collison, et al.
Published: (2024)
by: Holly Collison, et al.
Published: (2024)
Loading…
Intelligence and negation biases on the Conditional Inference Task: a dual-processes analysis
by: Nina Attridge, et al.
Published: (2014)
by: Nina Attridge, et al.
Published: (2014)
Loading…
Spatial and temporal scaling of extreme rainfall in the United Kingdom
by: Zijie Wang, et al.
Published: (2023)
by: Zijie Wang, et al.
Published: (2023)
Loading…
Psychophysiological stress and performance in extreme environments: an integrative approach
by: Kate O'Keeffe
Published: (2021)
by: Kate O'Keeffe
Published: (2021)
Loading…
Extreme eigenvalues of random matrices from Jacobi ensembles
by: Brian Winn
Published: (2024)
by: Brian Winn
Published: (2024)
Loading…
Multiscale electrochemistry of lithium manganese oxide (LiMn<sub>2</sub>O<sub>4</sub>): from single particles to ensembles and degrees of electrolyte wetting
by: Binglin Tao, et al.
Published: (2023)
by: Binglin Tao, et al.
Published: (2023)
Loading…
Using design thinking to improve strategic decisions during collaborative sensemaking
by: Ekaterina Kotina, et al.
Published: (2017)
by: Ekaterina Kotina, et al.
Published: (2017)
Loading…
Cost-sensitive decision tree ensembles for effective imbalanced classification
by: Bartosz Krawczyk, et al.
Published: (2014)
by: Bartosz Krawczyk, et al.
Published: (2014)
Loading…
AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
by: Aboozar Taherkhani, et al.
Published: (2020)
by: Aboozar Taherkhani, et al.
Published: (2020)
Loading…
Spatial and temporal scaling of sub-daily extreme rainfall for data sparse places
by: Robert Wilby, et al.
Published: (2022)
by: Robert Wilby, et al.
Published: (2022)
Similar Items
-
Unseen or unrealistic? Using ensemble simulations to explore unseen weather extremes
by: Timo Kelder
Published: (2023) -
An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions
by: Timo Kelder, et al.
Published: (2022) -
Evaluation of the skill of North-American multi-model ensemble (NMME) global climate models in predicting average and extreme precipitation and temperature over the continental USA
by: Louise Slater, et al.
Published: (2016) -
Using UNSEEN trends to detect decadal changes in 100-year precipitation extremes
by: Timo Kelder, et al.
Published: (2020) -
PIndroid: A novel Android malware detection system using ensemble learning
by: Fauzia Idrees, et al.
Published: (2017)