K
Katharine Hayhoe
Researcher at Texas Tech University
Publications - 135
Citations - 12638
Katharine Hayhoe is an academic researcher from Texas Tech University. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 46, co-authored 135 publications receiving 11480 citations. Previous affiliations of Katharine Hayhoe include National Center for Supercomputing Applications & University of Toronto.
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Journal ArticleDOI
Emissions pathways, climate change, and impacts on California
Katharine Hayhoe,Daniel R. Cayan,Christopher B. Field,Peter C. Frumhoff,Edwin P. Maurer,Norman L. Miller,Susanne C. Moser,Stephen H. Schneider,Kimberly Nicholas Cahill,Elsa E. Cleland,Larry Dale,Ray Drapek,R. Michael Hanemann,Laurence S. Kalkstein,James M. Lenihan,Claire Lunch,Ronald P. Neilson,Scott C. Sheridan,Julia H. Verville +18 more
TL;DR: It is found that annual temperature increases nearly double from the lower B1 to the higher A1fi emissions scenario before 2100, and three of four simulations also show greater increases in summer temperatures as compared with winter.
Journal ArticleDOI
Past and future changes in climate and hydrological indicators in the US Northeast
Katharine Hayhoe,Cameron P. Wake,Thomas G. Huntington,Lifeng Luo,Mark D. Schwartz,Justin Sheffield,Eric F. Wood,Bruce T. Anderson,James A. Bradbury,Art DeGaetano,Tara J. Troy,David W. Wolfe +11 more
TL;DR: In this article, the authors examined past and future changes in key climate, hydrological, and biophysical indicators across the US Northeast (NE) by considering the extent to which simulations of twentieth century climate from nine atmosphere-ocean general circulation models (AOGCMs) are able to reproduce observed changes in these indicators.
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Global pyrogeography: the current and future distribution of wildfire.
Meg A. Krawchuk,Max A. Moritz,Marc-André Parisien,Marc-André Parisien,Jeff Van Dorn,Katharine Hayhoe +5 more
TL;DR: A multivariate quantification of environmental drivers for the observed, current distribution of vegetation fires using statistical models of the relationship between fire activity and resources to burn, climate conditions, human influence, and lightning flash rates at a coarse spatiotemporal resolution is presented.
Journal ArticleDOI
Atmospheric methane and global change
TL;DR: In this article, the authors examined past trends in the concentration of methane in the atmosphere, the sources and sinks that determine its growth rate, and the factors that will affect its growth rates in the future.
Journal ArticleDOI
Climate change and disruptions to global fire activity
Max A. Moritz,Marc-André Parisien,Enric Batllori,Meg A. Krawchuk,Jeff Van Dorn,David J. Ganz,Katharine Hayhoe +6 more
TL;DR: In this article, the authors integrate global fire datasets and environmental covariates to build spatial statistical models of fire probability at a 0.5° resolution and examine environmental controls on fire activity.