Not exact matches
One possibility: time is just another
spatial dimension except
at the beginning of space and time This is perhaps like formation of an ice crystal or alignment of magnetic domains, a phase
change in which time becomes timelike.
I shall suggest below that a more useful strategy than either of these extremes lies in focusing on religious
changes over a period of several decades and involving
at least several levels of
spatial organization.
We all in practice assume that, when speakers raise their hands, thereby (among other things)
changing the
spatial location of the electrons in them, they do so because they decided to do so; or, if we take the speaker's hand gestures to be involuntary, we
at least assume that they occurred because of points the speaker had decided to make.
His research is located
at the intersection of social and
spatial mobility, urbanisation and agrarian
change, state policy, and popular politics.
«Ecological Impacts of Climate
Change: The Importance of Temporal and
Spatial Synchrony» by Christopher K. Wilke, Curators» Distinguished Professor of Statistics
at the University of Missouri
He also organized a symposium on
Spatial Tools to Address Climate
Change Impacts
at the 69th Annual Meeting of the Northeast Association of Fish and Wildlife Agencies.
That is
changing, says Nora Newcombe, a professor of psychology
at Temple University and principal investigator of the
Spatial Intelligence and Learning Center.
The results indicate that although land - use
change is currently considered as the major driver of pollinator declines in Europe, climate is the most important factor limiting the distribution of pollinators
at large
spatial scales.
Spatial fingerprints of climate
change on biotic communities are usually associated with
changes in the distribution of species
at their latitudinal or altitudinal extremes.
Emanuel and his colleagues had previously devised a technique to simulate hurricane development in a
changing climate, using a specialized computational model they developed that simulates hurricanes
at high
spatial resolutions.
Additionally, there were also regional differences in the
spatial patterns of
change trend in the ARNC temperature
at a given time.
Krist et al. (2014) suggest that expected climate
changes would increase pathogen and insect risks to forests beyond those mapped in Figure 4 - 9 or,
at a minimum, alter the
spatial patterns of risk.
Several previous analyses of tide gauge records1, 2,3,4,5,6 — employing different methods to accommodate the
spatial sparsity and temporal incompleteness of the data and to constrain the geometry of long - term sea - level
change — have concluded that GMSL rose over the twentieth century
at a mean rate of 1.6 to 1.9 millimetres per year.
Contours show
spatial and spectral
changes observed over 4 years time as shocks expand into interstellar gas and dust (more
at CXC).
Time brings about a perceptible
spatial change as the center of the picture subtly expands, the way space twists when an object moves through it
at the speed of light.
Since climate is related to expectations — which differ enormously from place to place — anomalies allow you to look
at similar levels of impacts and
spatial coherence of the
changes much more clearly.
As for additional topics, perhaps a brief explanation on why confidence in attribution (and prediction) of temperature
change is strongest
at large scales and weakest
at small scales, ie something about the issue of signal to noise relative to
spatial scale.
There is a lot of evidence already of behavioural «adaptation» (
at least
changes in
spatial and temporal distributions [e.g., flowering time]-RRB- to the last couple of decades» warmth.
For example, many mechanistic models used to simulate the ecological effects of climate
change operate
at spatial resolutions varying from a single plant to a few hectares.
Europe presents a
spatial pattern of
change, with western continental areas showing last freeze dates getting earlier faster, some central areas having last freeze and first leaf dates progressing
at about the same pace, while in portions of Northern and Eastern Europe first leaf dates are getting earlier faster than last freeze dates
Systematic instrumental errors, such as
changes in measurement practices or urbanisation, could be more important, especially earlier in the record (Chapter 3), although these errors are calculated to be relatively small
at large
spatial scales.
Whether ocean circulation models... neither explicitly accounting for the energy input into the system nor providing for
spatial variability in the mixing, have any physical relevance under
changed climate conditions is
at issue.»
Sea surface temperature (SST) measured from Earth Observation Satellites in considerable
spatial detail and
at high frequency, is increasingly required for use in the context of operational monitoring and forecasting of the ocean, for assimilation into coupled ocean - atmosphere model systems and for applications in short - term numerical weather prediction and longer term climate
change detection.
Following completion of the pilot project, the long - term vision is deployment in each of the nine NOAA climate regions of the United States
at a 100 km
spatial resolution that will allow the detection of regional climate
change signals.
Beginning with a pilot project in the Southwest, USHCN - M stations will be deployed
at a 100 km
spatial resolution to provide for the detection of regional climate
change signals.
The time series land based thermometer records are hopeless (not simply because of question adjustments and homogenisation, and instrument error bounds) but also because that throughout the time series the stations used with which the data is being compiled,
at any one moment of time, is continually
changing, so too their
spatial coverage, such that
at no time is like with like ever comparable.
Two kind of variabilities are involved, the
spatial variability between the
changes in average temperature from the past to the later period and the variability around the mean
at every location.
One limitation for improving surface fluxes
at all latitudes is that they have not yet been classified as essential climate variables (ECVs) or essential ocean variables (EOVs) for use by the United Nations or the Intergovernmental Panel on Climate
Change, meaning that specific measurement standards have not been established for minimum
spatial and temporal density of observations, accuracy, and long - term stability.
Temporal and
spatial structure of multi-millennial temperature
changes at high latitudes during the Last Interglacial.
The NEX - GDDP dataset is provided to assist the science community in conducting studies of climate
change impacts
at local to regional scales, and to enhance public understanding of possible future global climate patterns
at the
spatial scale of individual towns, cities, and watersheds.»
This implies that in these cases a careful analysis of the implications of projected
changes for the specific temporal and
spatial characteristic of the climate variables relevant to the system
at risk is required.
A measurement comparing these systems demonstrates an unprecedented atomic clock instability of 1.6 × 10 ^ -18 after only 7 hours of averaging... Clock measurement
at the 10 ^ -18 level can be used to resolve
spatial and temporal fluctuations equivalent to 1 cm of elevation in Earth's gravitational field (25 — 28), potentially impacting geodesy, hydrology, geology, and climate
change studies.
«extensive use [of GCMs] for the prediction and interpretation of the
spatial patterns of temperature
change at the Earth's surface, and the use of such projections in reports for policymakers (e.g. Parry et al. 2007), leads us to the view that it is appropriate to assess their usefulness in this regard.»
NW and Ken, a short answer is that the investigators need to combine evidence of tree - line fluctuations with estimate of past temperature
changes to model the
spatial extent of the upper treeline zone in order to avoid this problem (by ensuring that only material that was within this zone
at any given time is used).
Another issue is whether the
spatial and temporal sampling of the ocean heat content accurately captures the regions and depths
at which heat
changes are occurring.
No climate model can predict climate
changes at a local level where the effects are felt - predictions are only made for averages collated
at a continental
spatial scale and over periods of decades.
Richard S.J. Tol is a Professor
at the Department of Economics, University of Sussex and the Professor of the Economics of Climate
Change, Institute for Environmental Studies and Department of
Spatial Economics, Vrije Universiteit, Amsterdam, the Netherlands.
As we have shown in Rahmstorf et al. (2012), much or most of the decadal variations in the rate of sea - level rise in tide gauge data are probably not real
changes at all, but simply an artefact of inadequate
spatial sampling of the tide gauges.
Earth Lab science projects combine satellite, survey, and field data collected
at various
spatial and temporal scales to answer critical Earth Science questions and predict
change using cutting - edge computational approaches.
But Emanuel and his team developed one that can model hurricanes
at high
spatial resolutions within a
changing climate.
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