An Introduction to Trends in Extreme Weather and Climate Events: Observations, Socioeconomic Impacts, Terrestrial Ecological Impacts, and Model Projections*
By Gerald A. Meehl, Thomas Karl, D. Easterling, S. Changnon, Roger A. Pielke Sr., D. Changnon, J. Evans, P. Groisman, T. Knutson, K. Kunkel and 7 more. 2000
589 citations recorded by the source corpus.
Subfields: Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e73ed1e51f6b1b53487d9565d90de378008a14d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Eric Gilleland
- Amir Aghakouchak
- R. Katz
- Linyin Cheng
- A. Townsend Peterson
- Joel G. Kingsolver
- Melinda D. Smith
- A. Battisti
Citations in the corpus
- C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition (2019, methodology): “It has been used in many applications such as finance, railway track inspection etc. [23], [1], [9] as well as open-set recognition [4], [36], [40].”
- A new generation of climate‐change experiments: events, not trends (2007, background): “Considering a given probability distribution of occurrence for any climatic parameter, changes in mean values as well as increased variance in amplitude will inevitably lead to more frequent and more intense extreme events at one tail of the distribution (Meehl et al. 2000; Figure 3).”
- Decline of an isolated timber rattlesnake (Crotalus horridus) population: Interactions between climate change, disease, and loss of genetic diversity (2011, background): “Concurrently, human impacts are also causing an increase in frequency of stochastic environmental events through mechanisms such as altered wild- fire regimes, invasive species introduction, and climate change (Coblentz, 1990; Meehl et al., 2000; Syphard et al., 2007).”
- Non-stationary extreme value analysis in a changing climate (2014, background): “For a non-stationary process, the parameters of the underlying distribution function are time-dependent (Renard et al. 2013; Gilleland andKatz 2011; Katz 2010; Cooley 2009) and hence, the properties of the distribution would vary with time (Meehl et al. 2000).”
- Ecotypes of European grass species respond differently to warming and extreme drought (2011, background): “…anticipated from global warming and the subsequently stimulated energy exchange in the atmo- sphere is an increase in the frequency and magnitude of extreme climatic conditions (Meehl et al. 2000; Beniston & Stephenson 2004; IPCC 2007; Sillmann & Roeckner 2008; O’Gormann & Schneider 2009).”
- The ecological role of climate extremes: current understanding and future prospects (2011, background): “The expectation with changing climate means and ⁄or variability is that climate extremes will become more frequent and intense in the future (Meehl et al. 2000).”
- Dragonflies and climatic change - recent trends in Germany and Europe. (2010, background): “Extreme climatic conditions – which used to be rare and localised – become more and more abundant and also new situations will occur, which until today did not happen at all (see Meehl et al. 2000 and Wigley 2009).”
- Empirical perspectives on species borders: from traditional biogeography to global change (2005, background): “An increase in such extreme climatic events has been predicted from anthropogenic global warming, and significant trends in this direction have been found for the U.S.A. (Easterling et al. 2000a, b, Meehl et al. 2000a, b).”
- Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines (2015, background): “In an era of global climate change, natural disasters linked to extreme weather events are expected to become more frequent and intense, affecting millions of people around the world (de’Donato & Michelozzi, 2014; Meehl et al., 2000; Mirza, 2003; Sena, Corvalan, & Ebi, 2014).”
- A rapid altitudinal range expansion in the pine processionary moth produced by the 2003 climatic anomaly (2006, background): “, 2005), stochastic, extreme weather events and climatic anomalies of longer duration represent an important but often overlooked driver that can accelerate spatial shifts in species distributions (Meehl et al., 2000; Parmesan et al., 2000).”