Sentences with phrase «data over timescales»

Climate impacts research is in its infancy compared to science on the physical climate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their analysis.

Climate impacts research is in its infancy compared to science on the physical climate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their analysis.

Not exact matches

Our distinctive contribution was to look at government costs and performance over a much longer timescale than had been attempted before and we believe our own study will contribute to transparency and accountability through our unique publicly - available compilation of consistent long - term time - series of official data.

With the help of giant genomic data sets, scientists can now track these evolutionary shifts in allele frequencies over short timescales.

For example, data from this study has been used to examine the evolution of gas hydrate stability within the Eurasian Arctic over glacial timescales, exploring the development of massive mounds and methane blow - out craters that have been recently discovered on the Arctic seafloor.

Weathering of rocks can control Earth's temperature over geologic timescales, new geochemical data suggest.

Due to the availability of data from three observing runs separated by ~ 10 and 1 month timescales, we are able to demonstrate clear evidence for evolution of the photometric amplitudes, and hence spot patterns, over the 10 month gap, although we are not able to constrain the timescales for these effects in detail due to limitations imposed by the large gaps in our sampling, preventing use of the phase information.

I know that Mike Schlesinger is going to be working on further studies to see what extra data, and over what timescales, might help us constrain the upper tail, but the possibility arises that no amount of data will do this, or at least, not in time for us to act on it with enough warning to prevent serious problems.

He also pointed out that it is «unlikely that significant progress will be evident» in national social mobility data, and believes officials should also plan to monitor progress at that level «over a longer timescale».

I agree the OHC data are incompatible with a predominately internal contribution (although I'm sure Judith would argue those data are too uncertain, though I don't think anyone has argued OHC decreasing over the last half - century, at least not at the ocean basins / depths that communicate with the atmosphere on the relevant timescales).

It appears that Ghil, and others specifically warn against the use of MEM and temperature data: «Instrumental temperature data over the last few centuries do not seem, for instance, to determine sufficiently well the behavior of global or local temperatures to permit a reliable climate forecast on the decadal timescale by this SSA - MEM method.»

«We build on this insight to demonstrate directly from ice - core data that, over glacial — interglacial timescales, climate dynamics are largely driven by internal Earth system mechanisms, including a marked positive feedback effect from temperature variability on greenhouse - gas concentrations.»

All the data that I'm aware clearly shows that models predicting or hindcasting global temperature trends do far better at 30 year timescales than annually or over only a few years.

For example, data from this study has been used to examine the evolution of gas hydrate stability within the Eurasian Arctic over glacial timescales, exploring the development of massive mounds and methane blow - out craters that have been recently discovered on the Arctic seafloor.

The notion that over the longer timescales, forced responses dominated (at least for the second half of the past century) is reinforced by data on Ocean Heat Uptake since 1955.

By contrast, drifters only provided data over a limited timescale.

I know of no reason why the apparent averaging out of short term fluctuations over longer timescales dominated by forcing was an inevitable result that could have been derived without reference to the actual data.

So, to make a long story short, the data and model agree on the timescales over which the data is expected to be reliable.

Reanalysis data from 1948 to 2005 indicate weakening westerlies over this time period, a trend leading to relatively cooler temperatures on the east slope over decadal timescales.

Furthermore, although not in direct relation to the solar - cloud studies, Brest et al. (1997) state that the ISCCP data are not sensitive enough to detect small changes in cloud cover over long timescales.

Assuming a CR - cloud connection exists, there are various factors which could potentially account for a lack of detection of this relationship over both long and short timescales studies, including: uncertainties, artefacts and measurement limitations of the datasets; high noise levels in the data relative to the (likely low) amplitude of any solar - induced changes; the inability of studies to effectively isolate solar parameters; or the inability to isolate solar - induced changes from natural climate oscillations and periodicities.

If we're going to go along with Roy Spencer, we have to reject a basic model of climate change that explains the data over widely divergent timescales, and replace it with... a big, fat nothing.

The longer the timescale over which you compute the trend, the less likely this is to happen as the noise averages out the more data you look at.