Prior to 1988, the satellite data that Trenberth uses is not available, but it is known that long term records in radiosondes contain large inhomogeneities due to improving observing systems,
increasing spatial resolution (but still very little ocean coverage), and the NCEP data in particular contains large model biases.
The two former methods are dependent on the large - scale circulation variables from GCMs, and their value as a viable means of
increasing the spatial resolution of climate change information thus partially depends on the quality of the GCM simulations.
«The most important benefit to us is that the upgrade will
increase the spatial resolution of our images, allowing us to study these dynamic processes at smaller length scales.
The model presented in this publication provides biological linkages and
increased spatial resolution that will increase effectiveness of Whooping Crane conservation efforts.
For example, simple approaches such as spatial interpolation or adding climate changes from GCMs to observed data fields do
increase the spatial resolution but add no new information on high resolution climate change.
Not exact matches
«When the data's
spatial resolution increases by a factor of four, the one thing I have complete confidence in is surprises....
An important aspect of enormous practical relevance is that the nano - FTIR spectra of proteins match extremely well with conventional FTIR spectra, while the
spatial resolution is
increased by more than 100.
That's important, he says, because for imaging dynamic processes, an
increase in
spatial resolution is meaningless without a corresponding
increase in speed.
In order to address the challenges of future ocean acidification at a regional scale, it is necessary to
increase the
resolution of
spatial and temporal monitoring of the inorganic carbon system beyond what is currently available.
When there aren't any gaps in space with zero optical thickness (there is approximately a gap above TOA) and temperature varies continously over space (at sufficient
spatial resolution, this is generally true everywhere within the climate system),
increasing optical thickness eventually saturates the fluxes going in opposite directions, at which point they become equal, so that the net flux is zero.
Increasing the
resolution to T106 did not improve winter temperatures and, in summer, the
spatial patterns were better but the regional biases worse (Cubasch et al., 1996).
Like GCMs, RCMs benefit from the continued
increase in computational power, allowing more simulations to be run at higher
spatial resolution.
Due, in part, to the ever
increasing computational power available, GCMs are being continually developed and applied at higher
spatial resolutions.
The progress in forecast quality of the ECMWF system can clearly be partly attributed to
increases in
spatial resolution (Jung et al, http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-11-00265.1?journalCode=clim).
Improvements include
increases in
spatial and temporal
resolution and better representation of physical processes.
The widespread trend of
increasing heavy downpours is expected to continue, with precipitation becoming less frequent but more intense.13, 14,15,16 The patterns of the projected changes of precipitation do not contain the
spatial details that characterize observed precipitation, especially in mountainous terrain, because the projections are averages from multiple models and because the effective
resolution of global climate models is roughly 100 - 200 miles.
And generally speaking, it's not the
spatial resolution that presently limits the models» accuracy (or
increases the models» uncertainty), but rather how the GCMs handle these intra-cell parameters.
There are many drivers for
increased resolution (
spatial and temporal) surface observations, not least being new high
resolution numerical weather prediction (NWP) models.
The historical to recent centuries of the model are strongly constrained to agree with the 400 - year historical model gufm1 by Jackson et al. (2000), and consequently
spatial and temporal
resolution increase drastically for this time interval.
Over the ocean, some of the
increased variability could be a consequence of
increased spatial and temporal
resolution, because the 1981 — 2010 period has high -
resolution satellite data, while the 1951 — 1980 period is largely dependent on ship data.
Stephens makes the case for
increased spatial and temporal
resolution.
Bigger, faster hardware can be driven by the need to
increase spatial and temporal
resolution, for example.
IAREs provide a balance between
spatial resolution and
increased granularity of attribute data.