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Journal ArticleDOI

Storm track processes and the opposing influences of climate change

TLDR
In this article, a synthesis of the influences of a changing climate on storm tracks reveals competing effects on meridional temperature gradients, which make projections difficult, making it difficult to make predictions.
Abstract
Extratropical storms contribute to precipitation, wind and temperature extremes. A synthesis of the influences of a changing climate on storm tracks reveals competing effects on meridional temperature gradients, which make projections difficult.

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The Arctic has warmed nearly four times faster than the globe since 1979

TL;DR: This paper showed that during the last 43 years the Arctic has been warming nearly four times faster than the globe, which is a higher ratio than generally reported in literature, and compared the observed Arctic amplification ratio with the ratio simulated by state-of-the-art climate models, and found that the observed fourfold warming ratio over 1979-2021 is an extremely rare occasion in the climate model simulations.
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Climate Extremes and Compound Hazards in a Warming World

TL;DR: In this paper, the authors discuss the threats posed by climate extremes to human health, economic stability, and the well-being of natural and built environments (e.g., 2003 European heat wave).
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Projected increases and shifts in rain-on-snow flood risk over western North America

TL;DR: In this paper, daily rain-on-snow (ROS) flood events with flood-generating potential are simulated over western North America for a historical (2000-2013) and future (forced under Representative Concentration Pathway 8.59) period with the Weather Research and Forecasting model; 4'km resolution allows the basin-scale ROS flood risk to be assessed.
Journal ArticleDOI

Cloud feedback mechanisms and their representation in global climate models

TL;DR: Cloud feedback is the change in top-of-atmosphere radiative flux resulting from the cloud response to warming as discussed by the authors, which constitutes by far the largest source of uncertainty in the climate response to CO2 forcing simulated by global climate models (GCMs).
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Mid-latitude net precipitation decreased with Arctic warming during the Holocene.

TL;DR: It is shown that a weaker latitudinal temperature gradient—that is, warming of the Arctic with respect to the Equator—during the early to middle part of the Holocene coincided with substantial decreases in mid-latitude net precipitation, consistent with the hypothesis that a weakened temperature gradient led to weaker mid-Latitude westerly flow, weaker cyclones and decreased net terrestrial mid- latitude precipitation.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Journal ArticleDOI

Robust Responses of the Hydrological Cycle to Global Warming

TL;DR: In this paper, the authors examined some aspects of the hydrological cycle that are robust across the models, including the decrease in convective mass fluxes, the increase in horizontal moisture transport, the associated enhancement of the pattern of evaporation minus precipitation and its temporal variance, and decrease in the horizontal sensible heat transport in the extratropics.
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Long Waves and Cyclone Waves

TL;DR: In this paper, it was shown that a simple state of steady baroclinic large-scale atmospheric motion is almost invariably unstable, and that such states of motion can be represented by components of a certain simple type, some of which grow exponentially with time.
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Uncertainty in climate change projections: the role of internal variability

TL;DR: In this paper, uncertainty arising from internal climate variability is investigated using a new 40-member ensemble conducted with the National Center for Atmospheric Research Community Climate System Model Version 3 (CCSM3) under the SRES A1B greenhouse gas and ozone recovery forcing scenarios during 2000-2060.
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