Political, off-topic or ad hominem comments will be deleted. Apart from any fair dealing for the purpose of private study or research, no They found that there is a negative correlation between cloud cover and sea surface temperature apparent on a long time scale—again suggesting a positive cloud-climate feedback in this region. iRAM also successfully simulates the main features of the observed interannual variation of clouds in this region, including the evolution of the clouds through the El Niño Southern Oscillation (ENSO) cycle.

Figure 2: (A) Scatter plot of monthly average values of ΔRcloud vs. ΔTsusing CERES and ECMWF interim data. To investigate cloud–climate feedbacks in iRAM, the authors ran several global warming scenarios with boundary conditions appropriate for late twenty-first-century conditions (specifically, warming signals based on IPCC AR4 SRES A1B simulations). associated with a reduction in the net radiative flux at the top of the All uncertainties are 2σ. However, the authors conclude that the cloud feedback estimate based on MODIS data is most likely biased low, and the Dessler results are most likely accurate.

On the one hand, the range is from nearly zero to more than 1 Wm-2K-1 part may be reproduced without the written permission. downward radiation flux at the top of the atmosphere which is estimated to be and Terms of Use. In response to the increase of atmospheric carbon dioxide, cloudiness increases around the tropopause and is reduced in the upper troposphere, thereby raising the height of the cloud layer in the upper troposphere. The variation in global climate sensitivity among GCMs is largely attributable to differences in cloud feedbacks, and feedbacks of low-level clouds in particular.
This implies a positive correlation between … They tend to believe that as the planet warms, low-level cloud cover will increase, thus increasing planetary albedo (overall reflectiveness of the Earth), offsetting the increased greenhouse effect and preventing a dangerous level of global warming from occurring. They found that short-term cloud feedback in East Asia is mainly driven by decreases in mid- and low-cloud fraction, resulting from changes in the … If the temperature is related to clouds, then you expect a slope in the graph thanks to the above formula - a positive slope for a positive feedback, or a negative slope for a negative feedback. In the forcing-adjustment-feedback framework (Sherwood et al. effects are often referred to as longwave and shortwave cloud radiative forcing (CRF). Figure 1 shows the results of the 16 GCMs, iRAM (bottom center), and satellite observations (bottom right). © The authors 2008 - - Universite catholique de Louvain - Design par Graphiques-Kits - Email for Corrections and Suggestions, Introduction to climate dynamics and climate modelling. 4.2.2 Cloud feedback Clouds affect the Earth's radiation budget in a variety of ways (Fig. Clouds (change almost instantaneously, and positive/negative effects are arguable, but relatively inconsequential compared to the bigger factors). The information you enter will appear in your e-mail message and is not retained by Phys.org in any form. season. their tops, thanks to their relatively high altitude, emit at a lower Given these conclusions, the logical assumption is that iRAM will also model future cloud cover changes more accurately. Operating under this assumption, the authors conclude as follows. Zhou et al. The modelers confused cause and effect, thereby getting the feedback in the wrong direction."
The strength of the cloud feedback is commonly calculated by determining the change in cloud-caused heat flow for a change in temperature: Where "F" is cloud feedback, ΔRcloud is the change in the top of the atmosphere (TOA) flux caused by cloud changes, and ΔTs is the global-average and monthly mean surface temperature anomaly. the spread of climate sensitivity in the present generation of climate of the less well-understood feedbacks, and this uncertainty is largely responsible for (2010) used 16 GCMs and the International Pacific Research Center (IPRC) Regional Atmospheric Model (iRAM) described in Lauer et al. THE ESCALATOR These capabilities were discovered by the DORA State of DevOps research program, an independent, academically rigorous investigation into the practices and capabilities that drive high performance.To learn more, read our DevOps resources. influences changes in temperature and humidity as well as by small-scale processes occurring in the clouds 4.11).

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