Sentences with phrase «when global sea surface temperatures»

... Within the last three years, when global sea surface temperatures have been at their highest, we have seen the strongest hurricane globally, the strongest hurricane in the northern hemisphere, the strongest hurricane in the southern hemisphere, and the strongest storms in both the Pacific and the open Atlantic, with [Hurricane] Irma.»
That now means, within the last three years, when global sea surface temperatures have been at their highest, we have seen the strongest hurricane globally, the strongest hurricane in the northern hemisphere, the strongest hurricane in the southern hemisphere, and the strongest storms in both the Pacific and the open Atlantic, with Irma.

Not exact matches

When this model is run with a standard, idealised global warming scenario you get the following result for global sea surface temperature changes.
Re 9 wili — I know of a paper suggesting, as I recall, that enhanced «backradiation» (downward radiation reaching the surface emitted by the air / clouds) contributed more to Arctic amplification specifically in the cold part of the year (just to be clear, backradiation should generally increase with any warming (aside from greenhouse feedbacks) and more so with a warming due to an increase in the greenhouse effect (including feedbacks like water vapor and, if positive, clouds, though regional changes in water vapor and clouds can go against the global trend); otherwise it was always my understanding that the albedo feedback was key (while sea ice decreases so far have been more a summer phenomenon (when it would be warmer to begin with), the heat capacity of the sea prevents much temperature response, but there is a greater build up of heat from the albedo feedback, and this is released in the cold part of the year when ice forms later or would have formed or would have been thicker; the seasonal effect of reduced winter snow cover decreasing at those latitudes which still recieve sunlight in the winter would not be so delayed).
When sceptics look at statistical data, whether it is recent ice melt, deep sea temperatures, current trend in global surface temperatures, troposphere temperatures, ice core records etc. they look at the data as it is without any pre-conceptions and describe what it says.
Back in 2009, by analysing the data, I found that the global average sea surface temperature, the SST, stays fairly constant when the Sun is averaging around 40 sunspots per month.
During that same period, average annual rainfall in New South Wales declined by 3.6 inches (92 millimeters).3 Scientists think the decline in autumn rainfall in southeast Australia since the late 1950s may be partly due to increases in heat - trapping gases in Earth's atmosphere.3, 14 Major bushfires over southeast Australia are linked to the positive phase of an ocean cycle called the «Indian Ocean Dipole» — when sea surface temperatures are warmer than average in the western Indian Ocean, likely in response to global warming.15, 16
9) The correlation between CO2 content in atmosphere and sea surface temperature is connected especially with global sea surface temperature during time periods when El Niño events are dominating.
If this happens during northern winter, surface pressure falls in the Arctic (rising AO) the night jet stalls, NOx injection falls away, stratospheric ozone levels increase, the coupled circulation is invigorated and pressure falls at 50 - 60 ° north and this is associated with cloud loss (when global cloud cover is at its maximum value) and a strong rise in global sea surface temperature.
The new research uses multiple runs of a coupled ocean - atmosphere computer model to simulate global temperature changes in response to climate forcing when the sea surface temperature (SST) in the el Niño region follows its historically observed values.
As just one example; «How we can know an average global sea surface temperature back to 1850 when so much of the world was unexplored let alone its oceans measured» should be just one example that should make scientists question whether the models they build are actually using reliable data, or whether they think they already know the answer and therefore just use data that supports it, no matter its doubtful provenance.
Keep in mind, when reading Smith et al (2008), that the NCDC removed the satellite - based sea surface temperature data because it changed the annual global temperature rankings.
The last time in Earth history when the global average surface temperature was as warm as the IPCC projects for 2100 in its mid-range scenarios, there was very little polar ice and sea level would have been roughly 70 meters (over 200 feet) higher than at present.
This means that the global mean sea surface temperature mainly controls the CO2 content in the atmosphere; when the mean sea surface temperature is rising, the CO2 content in the atmosphere is increasing.
During the Last Interglacial Period (about 129,000 to 116,000 years ago) when peak global warmth was not more than 2 °C above pre-industrial temperatures, and peak global annual sea surface temperatures were 0.7 [0.1 to 1.3] °C warmer (medium confidence), maximum GMSL was at least 5 m higher than at present (very high confidence), but did not exceed 10 m (high confidence).
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