Not exact matches
The kinder, gentler model from the Hadley Centre for Climate Prediction and Research in the United Kingdom
estimated a wetter, warmer future: Rainfall may increase 20 percent to 25 percent,
mean annual temperatures could increase 2 degrees Fahrenheit by 2030 and 4 degrees by 2100.
The review by O'Gorman et al (3) reports that a 1C increase in global
mean temperature will result in a 2 % — 7 % increase in the precipitation rate; the lower values are results of GCM output, and the upper values are results from regressing
estimated annual rainfalls on
annual mean temperatures.
However, the CRU global
mean combined land air / sea surface
temperature estimates for Jan - Aug 2005 lag behind the 1998
annual mean estimate by 0.08 C (0.50 C vs. 58C for 1998) while GISS indicates a lag of 0.02 C.
Estimates of the global and
annual mean temperature based on a number of different data sets, including both traditional analyses as well as re-analyses (also see the last 15 years).
Estimates of the global and
annual mean temperature based on a number of different data sets, including both traditional analyses as well as re-analyses
Observational errors on any one
annual mean temperature anomaly
estimate are around 0.1 deg C, and the errors from the linear fits are given in the text.
By comparing modelled and observed changes in such indices, which include the global
mean surface
temperature, the land - ocean
temperature contrast, the
temperature contrast between the NH and SH, the
mean magnitude of the
annual cycle in
temperature over land and the
mean meridional
temperature gradient in the NH mid-latitudes, Braganza et al. (2004)
estimate that anthropogenic forcing accounts for almost all of the warming observed between 1946 and 1995 whereas warming between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.
The global
mean temperature for 2015 is expected to be between 0.52 °C and 0.76 °C * above the long - term (1961 - 1990) average of 14.0 °C, with a central
estimate of 0.64 °C, according to the Met Office
annual global
temperature forecast.
««Removing the
annual emissions traced to 90 major carbon producers from the best
estimate full historical forcing case shows that the combustion of their products from 1880 to 2010 led to a 0.4 (± 0.01) °C increase in [global
mean standard
temperature]...» This claim is absolutely bogus.
The
mean annual air
temperature at the long - term ELA of 1170 m is -1.5 °C, as
estimated from the Wolverine weather station at 990 m altitude about 0.5 km west of the glacier.
An «
estimate» and / or «reconstruction» of an
annual or decadal
temperature mean from data recorded only in June and July is just a «swag» (a scientific wild - ass guess).
Assuming a full - glacial
temperature lapse rate of -6 °C / 1000m, depression of
mean annual temperature in glaciated alpine areas was ca 5.4 ± 0.8 °C; it is similar to values of
temperature depression (5 - 6.4 °C) for the last glaciation obtained from various terrestrial sites, but contrasts with tropical sea - surface
temperature estimates that are only 1 - 3 °C cooler than present.
All of these characteristics (except for the ocean
temperature) have been used in SAR and TAR IPCC (Houghton et al. 1996; 2001) reports for model - data inter-comparison: we considered as tolerable the following intervals for the
annual means of the following climate characteristics which encompass corresponding empirical
estimates: global SAT 13.1 — 14.1 °C (Jones et al. 1999); area of sea ice in the Northern Hemisphere 6 — 14 mil km2 and in the Southern Hemisphere 6 — 18 mil km2 (Cavalieri et al. 2003); total precipitation rate 2.45 — 3.05 mm / day (Legates 1995); maximum Atlantic northward heat transport 0.5 — 1.5 PW (Ganachaud and Wunsch 2003); maximum of North Atlantic meridional overturning stream function 15 — 25 Sv (Talley et al. 2003), volume averaged ocean
temperature 3 — 5 °C (Levitus 1982).
«For this reason, I remain concerned about the following statement from the Summary for Policymakers from the report: «the incomplete
estimates of global
annual economic losses for additional
temperature increases of ~ 2 °C are between 0.2 and 2 % of income (± 1 standard deviation around the
mean)».
The cash value of this is, that all of NASA's
estimates of
annual mean global surface
temperatures come with an uncertainty of + / -(not less than 0.6) °C.
ACORN - SAT and the Bureau's real - time high - resolution
temperature analyses are aimed at providing much more information than just an
estimate of Australian
annual -
mean temperatures.
Meanwhile, the CET is a point
estimate for one location on Earth's surface, and should never be misconstrued as truly representative of the global
annual mean temperature, or the Northern Hemesphere
annual mean temperature..
Pre-1910
estimates of Australian
annual -
mean temperature from just a few sites are very uncertain.
Probability density functions of
mean annual temperature (MAT)
estimates for the Arctic during the Pliocene based on three independent proxies.
«Indeed it is
estimated that
annual mean temperature has increased by over 2 °C during the last 70 years and precipitation has decreased in most regions, except the western part of the country, indicating that Mongolia is among the most vulnerable nations in the world to global warming.»
The analysis method was fully documented in Hansen and Lebedeff (1987), including quantitative
estimates of the error in
annual and 5 - year
mean temperature change.
Based on the present work, we
estimate that this effect may have raised the
annual mean temperatures of De Bilt by 0.10 ± 0.06 °C during the 20th century, being almost the full value of the present - day urban heat advection.
The space - time structure of natural climate variability needed to determine the optimal fingerprint pattern and the resultant signal - to - noise ratio of the detection variable is
estimated from several multi-century control simulations with different CGCMs and from instrumental data over the last 136 y. Applying the combined greenhouse gas - plus - aerosol fingerprint in the same way as the greenhouse gas only fingerprint in a previous work, the recent 30 - y trends (1966 — 1995) of
annual mean near surface
temperature are again found to represent a significant climate change at the 97.5 % confidence level.