Accounting for the considerable disagreement among satellite - era
observational datasets on the distribution of snow water equivalent, CanESM2 has too much springtime snow cover over the Canadian land mass, reflecting a broader Northern Hemisphere positive bias.
Not exact matches
This session examined the biogeochemical processes that are likely to affect the evolution of the Earth system over the coming decades, with a focus
on the dynamics of marine and terrestrial ecosystems and the development of improved understanding through (a) fieldwork and laboratory experiments, (b) development of new
observational datasets, both modern and palaeo, and (c) simulations using numerical models.
Then, the function is illustrated
on a real
dataset from a nationwide prospective
observational cohort including patients with inflammatory bowel disease.
Last week's post
on Realclimate raised a couple of issues which imply that both the choice of
observational dataset and the chosen pre-industrial baseline period can influence the conclusion of how much warming the Earth has experienced to date.
In short, irrespective of what
observational dataset was used — it's likely that an estimate of forced response made in 2014 would be biased cold, which
on its own would translate to an overestimate of the available budget of about 40GtC.
Part of the story here is that it is this very sort of very careful work done by John Kennedy and Phil Jones and other colleagues working
on these
datasets that has allowed us to start challenging the models and our understanding in such a detailed way — in some ways it is quite remarkable that the
observational data is now good enough to identify this level of detail in how the climate varies and changes.
«Direct
observational data
on surface air temperature are sparse for the Antarctic, but none of the
datasets examined provides evidence of net warming south of 60 ° S since 1979, a period during which sea - ice extent increased a little.»
Surely it's obvious that most meteorology is based
on (and validated against) a large
observational dataset, and the day to day transitions of the past are a large part of predicting tomorrow from yesterday.
This study addresses the challenge by undertaking a formal detection and attribution analysis of SCE changes based
on several
observational datasets with different structural characteristics, in order to account for the substantial
observational uncertainty.
The skill of the downscaling methods generally depended
on reanalysis and gridded
observational dataset.
«Evidence for climate change in the satellite cloud record» «Cloud feedback mechanisms and their representation in global climate models» «A net decrease in the Earth's cloud, aerosol, and surface 340 nm reflectivity during the past 33 yr (1979 — 2011)» «New
observational evidence for a positive cloud feedback that amplifies the Atlantic Multidecadal Oscillation» «Impact of
dataset choice
on calculations of the short - term cloud feedback»
, which are in fact the excess of AFari + aci over RFari, need adjusting (scaling down by (0.73 − 0.4) / (0.9 − 0.4), all years) to obtain a forcing
dataset based
on a purely
observational estimate of aerosol AF rather than the IPCC's composite estimate.
The State of the UK Climate report is an annual publication which provides an accessible, authoritative and up - to - date assessment of UK climate trends, variations and extremes based
on the latest available climate quality
observational datasets.