Because natural fire regimes varied widely historically, and are complicated in many places by similar variability in logging practices and intensities, the effect of fire reductions on bark beetle outbreaks varies considerably and involves several issues of spatial and
temporal scale variability.
Not exact matches
Monitoring, understanding, and predicting oceanic variations associated with natural climate
variability and human - induced changes, and assessing the related roles of the ocean on multiple spatial -
temporal scales.
Temporal scaling of temperature
variability from land to oceans.
Hélène Cyr & Isabel Cyr — 2003 (8)(
[email protected]) Keywords: aquatic systems, environmental
variability, noise colour, power spectra,
scaling, temperature,
temporal dynamics
As you go to smaller spatial and shorter
temporal scales the amount of internal
variability increases markedly and so the number of diagnostics which will be different to the expected values from the models will increase (in both directions of course).
These estimates are generally model - based because of difficulties in obtaining reliable internal
variability estimates from the observational record on the spatial and
temporal scales considered in detection studies.
The mean bias and ensemble spread relative to the observed
variability, which are crucial to the reliability of the ensemble distribution, are not necessarily improved with increasing
scales and may impact probabilistic predictions more at longer
temporal scales.
''... worked with two sediment cores they extracted from the seabed of the eastern Norwegian Sea, developing a 1000 - year proxy temperature record «based on measurements of δ18O in Neogloboquadrina pachyderma, a planktonic foraminifer that calcifies at relatively shallow depths within the Atlantic waters of the eastern Norwegian Sea during late summer,» which they compared with the
temporal histories of various proxies of concomitant solar activity... This work revealed, as the seven scientists describe it, that «the lowest isotope values (highest temperatures) of the last millennium are seen ~ 1100 - 1300 A.D., during the Medieval Climate Anomaly, and again after ~ 1950 A.D.» In between these two warm intervals, of course, were the colder temperatures of the Little Ice Age, when oscillatory thermal minima occurred at the times of the Dalton, Maunder, Sporer and Wolf solar minima, such that the δ18O proxy record of near - surface water temperature was found to be «robustly and near - synchronously correlated with various proxies of solar
variability spanning the last millennium,» with decade - to century -
scale temperature
variability of 1 to 2 °C magnitude.»
«Climate
variability refers to variations in the mean state and other statistics (such as standard deviations, the occurrence of extremes, etc.) of the climate on all
temporal and spatial
scales beyond that of individual weather events.
The
temporal variability of river and soil water affects society at time
scales ranging from hourly to decadal.
We have been focused on climate models rather than on climate dynamics and theory that is needed to understand the effects of the sun on climate, the network of natural internal
variability on multiple time
scales, the mathematics of extreme events, and the predictability of a complex system characterized by spatio -
temporal chaos.
In other words, trends and / or
variability in larger -
scale features of the climate (including rising temperature from global warming) are not very strongly (if at all) related to regional and
temporal characteristics of streamflows across the U.S.
`... rather than on climate dynamics and theory that is needed to understand the effects of the sun on climate, the network of natural internal
variability on multiple time
scales, the mathematics of extreme events, and predictability of a complex system characterized by spatio -
temporal chaos.
The
temporal relationship between the Suess solar cycle and particularly significant 210 yr oscillations in the speleothem δ18O records therefore supports the notion that solar
variability played a significant role in driving centennial -
scale changes in the hydrological cycle in the subtropics during the Holocene.
CP covers all
temporal scales of climate change and
variability, from geological time through to multidecadal studies of the last century.
«The response to anthropogenic changes in climate forcing occurs against a backdrop of natural internal and externally forced climate
variability that can occur on similar
temporal and spatial
scales.
These range from simple averaging of regional data and
scaling of the resulting series so that its mean and standard deviation match those of the observed record over some period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex climate field reconstruction, where large -
scale modes of spatial climate
variability are linked to patterns of
variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio -
temporal changes in past temperatures, and from which large -
scale average temperature changes are derived by averaging the climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).
The time
scale of
variability of the patterns is longer than the decorrelation time
scale of the stochastic forcing, because of the
temporal integration of the forcing by the equations of motion limited by the effects of nonlinear dynamics and friction.