I note that both the gridded model and
observational datasets used in our IJoC paper are freely available to researchers.
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.
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.
We also checked that
using different
observational datasets (NOAA, Berkeley, GISTEMP) gave similar results (results shown in Extended Data).
Using the SFZ 2008 tar file archive data in combination with the deep - ocean diagnostic model and control - run data
used in SFZ 2008, and a deep - ocean diagnostic
observational trend calculated from the Levitus et al 2005
dataset, I can produce broadly similar climate parameter PDFs to those in the Forest 2006 main results (Figure 2: GSOLSV, κsfc = 16, uniform prior), with a peak climate sensitivity around S = 3.
The surface and upper air temperature
observational datasets are continually revised and then made obsolete, so obtaining the data
used in a study carried out
using 10 year old data is not very practicable.
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).
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.
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.
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.
Using a collaborative Wiki framework, the goal of reanalyses.org is to facilitate comparison between reanalysis and
observational datasets.
«
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»
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.
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.