Paleoclimatic data for southwestern North America provide extensive documentation of past droughts (21, 22).
Specifically, providing user - friendly open access to a comprehensive uniform database incorporating all relevant
paleoclimatic data for the past 2000 years in a logical format will spur these advances.
Not exact matches
A 2008 study led by James Hansen found that climate sensitivity to «fast feedback processes» is 3 °C, but when accounting
for longer - term feedbacks (such as ice sheet disintegration, vegetation migration, and greenhouse gas release from soils, tundra or ocean), if atmospheric CO2 remains at the doubled level, the sensitivity increases to 6 °C based on
paleoclimatic (historical climate)
data.
... Migration appears to be limited to either the preceding or following seasonal layer
for each species, suggesting that
paleoclimatic interpretations based on
data with lower than annual resolution are not likely to be affected.
DESCRIPTION: Temperature sensitive
paleoclimatic multi-proxy
data from 17 sites worldwide were used to generate thousand year long records of temperature
for both hemispheres.
However in W. 2.1 we find on p. 11 «Table 1: Principal Sources of Proxy
Data for Paleoclimatic Reconstructions After Bradley (1999)».
Quite often this awkward nature of
paleoclimatic proxy
data is not properly accounted
for when performing standard time series analyses, which were developed
for evenly sampled and stationary time series over a well - defined time axis.
We thank Dorian Burnette
for assistance with map graphics and the many researchers who made their
paleoclimatic and climate model output available; M.B. Stevens, J.F. Gonzalez - Rouco, and H. Beltrami
for providing ECHO - g output
data for analysis; and the paper's two reviewers and editor.
Assuming the
paleoclimatic evidence (ice core
data for example)
for the temperature / CO2 correlation is resonably accurate, it is apparent that climate shifts from warming to cooling at CO2 peaks (maximum «forcing») and from cooling to warming at CO2 troughs (minimum «forcing»).
There are three possible methods
for assessing the background of natural internal variability: examination of the historical
data record, examination of the
paleoclimatic proxy
data record, and long - term climate model simulations.