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Climate variability is the term to describe variations in the mean state and other characteristics of climate (such as chances or possibility of extreme weather, etc.) "on all spatial and temporal scales beyond that of individual weather events." Some of the variability does not appear to be caused by known systems and occurs at seemingly ...
Just because it's cold for a day, a week, or a season, it doesn't mean global warming is over. All months have been warming since recordkeeping began in 1880, including December.
500 million years of climate change Ice core data for the past 400,000 years, with the present at right. Note length of glacial cycles averages ~100,000 years. Blue curve is temperature, green curve is CO 2, and red curve is windblown glacial dust (loess). Scale: Millions of years before present, earlier dates approximate.
PP Climate Clock was launched in 2015 to provide a measuring stick against which viewers can track climate change mitigation progress. The date shown when humanity reaches 1.5 °C will move closer as emissions rise, and further away as emissions decrease. An alternative view projects the time remaining to 2.0 °C of warming. [1] [2] The clock ...
For example, in New York City, Jan. 2024 and 2023 brought a historical average of 3.3 and 9.8 degrees Fahrenheit above historical levels, respectively.Jan. 2022 brought an average of 3.4 degrees ...
According to the World Meteorological Organization's Commission for Atmospheric Sciences: [12]: 19 "a stratospheric warming can be said to be major if at 10 mb or below the latitudinal mean temperature increases poleward from 60 degree latitude and an associated circulation reversal is observed (that is, the prevailing mean westerly winds ...
Weather Prediction Center forecast map for Thursday, Oct. 31, 2024, shows much of the eastern U.S. experiencing unseasonably warm weather while cool weather envelopes the west. Central US faces ...
Numerical weather prediction provides the temperature forecast for the next few days or weeks. This can be used to calculate anomalies during these forecast periods. There are two types of forecasts, deterministic and probabilistic, which will give different results.