An analysis of GOME - 2 data published in April suggests that carbon -
cycle models underestimate peak photosynthetic output by as much as 50 — 75 % in parts of India, China and the African Sahel, and by 40 — 60 % in the «corn belt» of the US Midwest, which accounts for more than 40 % of the world's maize (corn) production (L. Guanter et al..
Not exact matches
Professor Friedlingstein, who is an expert in global carbon
cycle studies added: «Current land carbon
cycle models do not show this increase over the last 50 years, perhaps because these
models underestimate emerging drought effects on tropical ecosystems.»
Andy (or anyone else with full access)-- The abstract states that «Inferences from the observational record... indicate that
models underestimate some of the changes in the hydrological
cycle.»
The message of my paper is that if the temperature has a large 1000 - year
cycle, likely the climate
models are seriously
underestimating the solar effect on climate.
Note that this figure illustrates the uncertainties arising from different greenhouse gas scenarios and climate
models, but almost certainly
underestimates the uncertainty associated with carbon -
cycle feedbacks.»
Finally I attempt a suggestion that perhaps one solution to the problem that the solar impact on climate is
underestimated by
models might be because EBM and GCM, like GISS, do not contain CO2 and CH4
cycle mechanisms that might be partially effected by the Sun, and other mechanisms are missing or uncertain (water vapor, cloud cover, vegetation, bacteria respiration, UV radiation, cosmic ray effects etc.).
Comparison with observed estimates of the seasonal
cycle suggested that most
models in the MMD
underestimate the strength of this feedback.
The new data produced values that are 50 % to 75 % higher than state - of - the - art carbon
cycle models, indicating that the
models are severely
underestimating.
Since such
models can not account for the climate system's apparent sensitivity to small perturbations in solar energy apparently brought about by the very long term changes in the Earth's orbit about the Sun, they may also
underestimate climate sensitivity to energy output fluctuations caused by solar activity, even during the eleven - year Schwabe
cycle.
It is intellectually dishonest to devote several pages to cherry - picking studies that disagree with the IPCC consensus on net health effects because you don't like its scientific conclusion, while then devoting several pages to hiding behind [a misstatement of] the U.N. consensus on sea level rise because you know a lot reasonable people think the U.N. wildly
underestimated the upper end of the range and you want to attack Al Gore for worrying about 20 - foot sea level rise.On this blog, I have tried to be clear what I believe with my earlier three - part series: Since sea level, arctic ice, and most other climate change indicators have been changing faster than most IPCC
models projected and since the IPCC neglects key amplifying carbon
cycle feedbacks, the IPCC reports almost certainly
underestimate future climate impacts.
While
models typically take into account how plants and microbes affect the carbon
cycle, they often
underestimate how much animals can indirectly alter the absorption, release, or transport of carbon within an ecosystem, says Oswald Schmitz, the Oastler Professor of Population and Community Ecology at F&ES and lead author of the paper.