Precipitation, radiative forcing and global temperature change

By T. Andrews, Piers M. Forster, O. Boucher, N. Bellouin, A. Jones. 2010

294 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/1584be39ef9f8b529c24377feacc9db5c09dfa89

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Citations in the corpus

Physically Consistent Responses of the Global Atmospheric Hydrological Cycle in Models and Observations (2014, background): “D Q atm ð D F Þ , normalized by the top of atmosphere radiative forcing ( D F ) and is speciﬁc to the nature of each radiative forcing component (Andrews et al. 2010; Ming et al. 2010).”
Bounding Global Aerosol Radiative Forcing of Climate Change (2020, background): “In addition to its influence on global130 temperature change, ERF is also an efficient predictor of changes in globally-averaged131 precipitation rate (T. Andrews et al., 2010).”
Fast and slow precipitation responses to individual climate forcers: A PDRMIP multimodel study (2016, methodology): “Inspired by earlier single-model studies [Andrews et al., 2010; Kvalevåg et al., 2013], we investigate correlations of precipitation changes with energetic quantities (Figure 2).”
Causes of climate change over the historical record (2019, background): “…gas induced warming is muted compared to that to aerosols since changes in lapse rate and atmospheric energy budget constraints reduce the precipitation response to warming (Allen and Ingram 2002, Lambert and Allen 2009, Andrews et al 2010, Bala et al 2010, Cao et al 2012, O’Gorman 2012).”
Reversibility in an Earth System model in response to CO2 concentration changes (2012, background): “…components of the climate system are driven by surface temperature, we present further changes in the system as a function of the GMST but we recognize that some variables such as precipitation and continental ecosystems also respond to the CO2 concentration (Cao et al 2011, Andrews et al 2010).”
The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6. (2016, background): “A number of studies have examined cloud feedbacks in coupled models subject to a solar forcing, which is generally associated with much smaller global cloud and precipitation adjustment, due to a smaller atmospheric absorption for a given top of atmosphere forcing (e.g. Lambert and Faull, 2007; Andr”
Anthropogenic and Natural Radiative Forcing (2014, background): “Global mean precipitation changes can be related separately to ERF within the atmosphere and to a slower response to global mean temperature changes (Andrews et al., 2010; Ming et al., 2010; Ban-Weiss et al., 2012).”
Energetic Constraints on Precipitation Under Climate Change (2012, background): “Lambert and Allen (2009) found that a simple regression model for precipitation changes that was adequate in the global-mean was not adequate over land alone, even when land-ocean energy transports were accounted for.”
An overview of the Earth system science of solar geoengineering (2016, background): “The combination of these two forcings would result in the increased stability of troposphere that would lead to less precipitation.(66,95) This effect means that SAI would result in a greater reduction in the hydrological cycle than sunshade geoengineering for a similar reduction in global temperatu”