To what extent was this taken account of in
climate model calibration?
Not exact matches
I worked with
climate data in hydrologic
model development and
calibration at a NOAA National Weather Service (NWS) River Forecast Center (RFC) from 1976 - 2005.
While the various methods can be tested with
climate model simulations, it would arguably be more satisfying if inferences could be obtained in a manner which bypasses the difficult issue of
calibration entirely, and also eliminates any need to establish the precise seasonality of information reflected by the various available proxy records.
I believe that statisticians can contribute more to
climate sciences in better description of the uncertainties, in addition to better
calibration of statistical
models.
An equatorial volcano occurring during that period would allow much better
model calibration, for example, settling questions about transient
climate response.
Such improved precision would allow close study of decade scale fluctuations in surface temperature that can lead to much better
calibration of
climate models.
[Response: Following up Gavin's comment, it has indeed already been shown — based on experiments with synthetic proxy data derived from a long
climate model simulation (see Figure 5 herein)-- that the
calibration method used by Moberg et al is prone to artificially inflating low - frequency variability.
In my opinion, any
climate model's V&V MUST include allowing the
model to run outside its
calibration space, (that is, into the future) and then waiting to see what the real world actually does.
The period 1981 — 2000 is used for
model calibration and 2001 — 2010 for validation, with performance assessed in terms of 27
Climate Extremes Indices (CLIMDEX).
Because this result is implausible, instrumentation
calibration factors were introduced to reduce the imbalance to the imbalance suggested by
climate models, 0.85 W / m2 (Loeb et al., 2009).
It would be interesting to see sensitivities from such
climate models with a proper
calibration.
The NSRDB accounts for any recent
climate changes and provides more accurate values of solar radiation due to a better
model for estimating values (more than 90 percent of the solar radiation data in both data bases are
modeled), more measured data including direct normal radiation, improved instrument
calibration methods, and rigorous procedures for assessing quality of data.
Whenever
climate models contribute to an estimation, they may suffer from very poor
calibration, for example
calibration with the MBH99 hockeystick.
They introduce a phony instrument «
calibration» to make their measurement read what the
climate models suggest.
If the
climate models use hindcasting to Hadley or Giss pre-1979 temperature series as any sort of
calibration, they are calibrating to a CREATED TREND, created using cooling adjustments to pre-1979 data.
A major limitation is the fact that the
calibration phase for these semi-empirical
models does not cover the range of
climate - system behaviour that might be expected for the 21st century, i.e., significant loss of ice from the large polar ice sheets.