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An impact of climate change is the increase in frequency and intensity of extreme precipitation events. However, confidently predicting the likelihood of extreme precipitation at seasonal scales remains an outstanding challenge. Here, we…

Machine Learning · Computer Science 2021-07-15 Daniel Salles Civitarese , Daniela Szwarcman , Bianca Zadrozny , Campbell Watson

Quantitative estimates of the contributions of the anthropogenic forcing, characterized by changes in the radiative forcing of atmospheric greenhouse gases (CO2, in particular), and solar activity variations to the trends of the global…

Atmospheric and Oceanic Physics · Physics 2024-06-11 Igor I. Mokhov , Dmitry A. Smirnov

The boreal summer tropical upper-tropospheric momentum budget involves a balance between eddy and mean meridional fluxes. In winter, however, the eddy flux itself acts to accelerate and decelerate the zonal flow in the Asian and East…

Atmospheric and Oceanic Physics · Physics 2021-07-21 Abu Bakar Siddiqui Thakur , Jai Sukhatme

Precipitation extremes produced by convection have been found to intensify with near-surface temperatures at a Clausius-Clapeyron rate of $6$ to $7\%$ K$^{-1}$ in simulations of radiative-convective equilibrium (RCE). However, these…

Atmospheric and Oceanic Physics · Physics 2024-12-24 Robert J. van der Drift , Paul A. O'Gorman

The CMIP3 multi-model ensemble spread most likely underestimates the real model uncertainty in future climate predictions because of the similarity, and shared defects, of the models in the ensemble. To generate an appropriate level of…

Atmospheric and Oceanic Physics · Physics 2009-09-11 Stephen Jewson , Ed Hawkins

The purpose of this study is to provide more insight into the role of anthropogenic cirrus formation through air traffic, by investigating the high-density European airspace over a period spanning several recent years including the start of…

Atmospheric and Oceanic Physics · Physics 2021-08-31 T. van der Duim , M. Chekol

Coastally associated rainfall is a common feature especially in tropical and subtropical regions. However, it has been difficult to quantify the contribution of coastal rainfall features to the overall local rainfall. We develop a novel…

Atmospheric and Oceanic Physics · Physics 2015-10-16 Martin Bergemann , Christian Jakob , Todd P. Lane

With the intensification of global climate change, accurate prediction of weather indicators is of great significance in disaster prevention and mitigation, agricultural production, and transportation. Precipitation, as one of the key…

Machine Learning · Computer Science 2025-04-30 Yuchen Wang , Pengfei Jia , Zhitao Shu , Keyan Liu , Abdul Rashid Mohamed Shariff

To study trends in extreme precipitation across US over the years 1951-2017, we consider 10 climate indexes that represent extreme precipitation, such as annual maximum of daily precipitation, annual maximum of consecutive 5-day average…

Applications · Statistics 2019-01-01 Arnab Hazra , Brian J. Reich , Ana-Maria Staicu

The evaluation of possible climate change consequence on extreme rainfall has significant implications for the design of engineering structure and socioeconomic resources development. While many studies have assessed the impact of climate…

Applications · Statistics 2017-06-02 Poulomi Ganguli , Paulin Coulibaly

In a changing climate, a key role may be played by the response of convective-type cloud and precipitation to temperature changes. Yet, it is unclear if precipitation intensities will increase mainly due to modified thermodynamic forcing or…

Atmospheric and Oceanic Physics · Physics 2016-10-12 Christopher Moseley , Cathy Hohenegger , Peter Berg , Jan O. Haerter

Simulation results are presented from a new general circulation model (GCM) of Titan, the Titan Atmospheric Model (TAM), which couples the Flexible Modeling System (FMS) spectral dynamical core to a suite of external/sub-grid-scale physics.…

Earth and Planetary Astrophysics · Physics 2015-06-23 Juan M. Lora , Jonathan I. Lunine , Joellen L. Russell

Past research has shown that multiple climate subsystems might undergo abrupt shifts, such as the Arctic Winter sea ice or the Amazon rainforest, but there are large uncertainties regarding their timing and spatial extent. In this study we…

Solar activity is studied using a cluster analysis of the time-fluctuations of the sunspot number. It is shown that in an Historic period the high activity components of the solar cycles exhibit strong clustering, whereas in a Modern period…

Astrophysics · Physics 2010-11-02 A. Bershadskii

Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a popular way of investigating teleconnections, the predictability of severe weather events, and climate change. Here, we investigate a…

Machine Learning · Computer Science 2022-05-02 Andreas Holm Nielsen , Alexandros Iosifidis , Henrik Karstoft

Climate change results in altered air and water temperatures. Increases affect physicochemical properties, such as oxygen concentration, and can shift species distribution and survival, with consequences for ecosystem functioning and…

Machine Learning · Computer Science 2021-10-11 Stefanie Mohr , Konstantina Drainas , Juergen Geist

With rising global temperatures Earth's tipping elements are becoming increasingly more vulnerable to crossing their critical thresholds. The reaching of such tipping points does not only impact other tipping elements through their…

Adaptation and Self-Organizing Systems · Physics 2025-05-08 Tom Bdolach , Jürgen Kurths , Serhiy Yanchuk

In the era of climate change, the distribution of climate variables evolves with changes not limited to the mean value. Consequently, clustering algorithms based on central tendency could produce misleading results when used to summarize…

Methodology · Statistics 2024-02-19 Carlo Gaetan , Paolo Girardi , Victor Muthama Musau

Satellite images have become increasingly valuable for modelling regional climate change effects. Earth surface forecasting represents one such task that integrates satellite images with meteorological data to capture the joint evolution of…

Machine Learning · Computer Science 2024-08-13 Tushar Verma , Sudipan Saha

Precipitation from tropical cyclones (TCs) can cause disasters such as flooding, mudslides, and landslides. Predicting such precipitation in advance is crucial, giving people time to prepare and defend against these precipitation-induced…

Machine Learning · Computer Science 2025-05-20 Cheng Huang , Pan Mu , Cong Bai , Peter AG Watson
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