Sentences with phrase «of observational dataset»

Thus my plea to the modelers: please mention the name of the observational dataset in your legend.

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.

Not exact matches

«We overcame this challenge by trying to push the observational science to the highest resolutions, allowing us to more readily compare observations across datasets,» said Nicholas Schmerr, the study's co-author and an assistant research scientist in geology at the University of Maryland.

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.

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.

There are very good scientific reasons for using observational datasets that fill in data sparse regions in many analyses — I will continue using them — but we should be aware of not only their strengths but also of their weaknesses.

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.

b) when used with the HadCM2 - derived surface control data covariance matrix from the SFZ 2008 data, which I have largely been able to agree to raw data from the HadCM2 AOGCM control run (which data Dr Forest has confirmed was used for the Forest 2006 main results), the CSF 2005 surface model and observational data produces, irrespective of which upper air and deep - ocean dataset is used, a strongly peaked PDF for climate sensitivity, centred close to S = 1, not S = 3 as per Forest 2006.

In summary, I have copies of datasets used in two studies related to Forest 2006, both of which should contain the same temperature data as used in Forest 2006 (save for the deep - ocean observational data).

And as I understand it they are a compilation and pasteurisation and cleansing and adjustment of a lot of different observational datasets.

Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones, 2012: Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset.

«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.»

Observational analyses do suggest a link between heavy precipitation and storm surge, but the available dataset was too short to explore the statistical relationships in a relevant part of the frequency distribution.

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.

and later: «With the exception of one SR case (RSS TLT) out of 18, none of the directly - measured observational datasets is consistent with the — best estimate ‖ of the IPCC AR4 [12] model - mean.

For each observational dataset and the historical portion of each CESM - LE simulation, we compute monthly anomalies by subtracting the long - term (1920 — 2012) monthly means from the corresponding month of each year.

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.

For the thirty - year period 1979 to 2009 the observational datasets find in the tropical lower troposphere (LT) a warming trend of 0.07 °C to 0.15 °C per decade.

The experts you selectively quote say» it is not clear whether the difference is a result of common biases in GCMs, biases in observational datasets, or both», whereas you make your own conclusion and suggest that the radiosonde are correct and everything else is wrong.

Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys.

Po Chedley say: «The apparent model - observational difference for tropical upper tropospheric warming represents an important problem, but it is not clear whether the difference is a result of common biases in GCMs, biases in observational datasets, or both.»

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.

However, CI failed to reproduce the distribution and BCSD and BCSDX the timing of winter 7 day low flow events, regardless of reanalysis or observational dataset.

The simulations were evaluated using the spline - interpolated dataset ANUSPLIN, a daily observational gridded surface temperature and precipitation product with a nominal resolution of approximately 10 km.

Non-stationarity in the observational / reanalysis datasets complicated the evaluation of downscaling performance.

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»

The first set of simulations, referred to as Global Atmosphere - Global Ocean (GOGA) experiments, are forced with prescribed SST and sea ice concentrations from the observational datasets of Hurrell et al. (2008) for 1979 — 2008, with different initial conditions for each ensemble member.

Using a collaborative Wiki framework, the goal of reanalyses.org is to facilitate comparison between reanalysis and observational datasets.

While such models lack adequate observational datasets of subsurface soil properties and / or geology, it is clear that the time scale for deep permafrost thaw is measured in centuries, not years.

They are perhaps the largest uncertainty in our understanding of climate change, owing to disagreement among climate models and observational datasets over what cloud changes have occurred during recent decades and will occur in response to global warming2, 3.

«Using state - of - the - art observational datasets and results from a large archive of computer mode simulations, a consortium of scientists from 12 different institutions has resolved a long - standing conundrum in climate science»

The dataset employs the latest analysis techniques and takes advantage of digitised observational data to provide a daily record of Australian temperatures over the last 100 years.

It is difficult to digitise the Figure 8.18 values for years affected by volcanic eruptions, so I have also adjusted the widely - used RCP4.5 forcings dataset to reflect the Section 7.5.3 observational estimate of current aerosol forcing, using Figure 8.18 and Table 8.7 data to update the projected RCP4.5 forcings for 2007 — 2011 where appropriate.

This study explores the causes of the recent decline of Atlantic major hurricane frequency over the period 2005 - 2015, using various observational datasets and modeling results from a 500 - year control simulation of a fully coupled earth system model, GFD's ESM2G.

Thorne et al. (2007) suggested that the absence of the mid-tropospheric warming might be attributable to uncertainties in the observed record: however, Douglass et al. (2007) responded with a detailed statistical analysis demonstrating that the absence of the projected degree of warming is significant in all observational datasets.

, 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.

The greater rate of warming in the tropical mid-troposphere that is projected by general - circulation models is absent in this and all other observational datasets, whether satellite or radiosonde.

The basic observational result seems to be similar to what we can produce but use of slightly different datasets, such as the EBAF CERES dataset, changes the results to be somewhat less in magnitude.

I prefer to use a reanalysis product as the base rather than gridded observational datasets because the reanalysis product provides a dynamically consistent gridded state estimation that includes assimilation of available surface and satellite observations.