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climate variability
This work presents details from the first study to quantify the predictability for simulated multidecadal climate variability over the North Atlantic.
      
The model used for this purpose is the GFDL coupled ocean-atmosphere climate model used extensively for studies of global warming and natural climate variability.
      
Nevertheless, a profound understanding of the mechanism behind the YD climate would lead to a better understanding of climate variability.
      
In addition to the signal patterns, the method requires input information on the space-time dependent covariance matrices of the natural climate variability and of the errors of the predicted signal patterns.
      
In contrast, the observations are inconsistent with the greenhouse-gas only climate change signal at a 95% confidence level for all estimates of climate variability.
      
The global availability of long period satellite measurements of the total ozone column, taken by the TOMS instruments since 1978, provides a valuable and independent data set for use in studies of seasonal and interannual climate variability.
      
Whether this warming is due to natural climate variability or the effects of increasing greenhouse gases is difficult to determine given the limited length of instrumental record.
      
This common temporal framework enables us to study the timing of the sub-Milankovitch climate variability in the entire surface Atlantic during this period, as reflected in planktonic oxygen isotope records.
      
The solution is to confine attention to aspects of the model and of the real climate system in which the model simulation of internal climate variability is adequate, or, more accurately, cannot be shown to be deficient.
      
Modes of climate variability as simulated by a coupled general circulation model.
      
Fingerprint techniques for the detection of anthropogenic climate change aim to distinguish the climate response to anthropogenic forcing from responses to other external influences and from internal climate variability.
      
Comparisons of recent, observed trends in tropical and Northern Hemisphere, mid-latitude climate with these simulations suggests an interaction between the climatic effects of historical land cover changes and other modes of climate variability.
      
Decadal climate variability simulated in a coupled general circulation model
      
A 1000 year integration of the CSIRO coupled ocean-atmosphere general circulation model is used to study low frequency (decadal to centennial) climate variability in precipitation and temperature.
      
It plays an important role in climate variability and has a significant influence on medium-to-extended ranges weather forecasting in the tropics.
      
Trans-Tasman Sea climate variability since ad 1740 inferred from middle to high latitude tree-ring data
      
The internal climate variability of HadCM3, a version of the Hadley Centre coupled model without flux adjustments
      
We examine the internal climate variability of a 1000?year long integration of the third version of the Hadley Centre coupled model (HadCM3).
      
Abrupt changes as indicators of decadal climate variability
      
Climate variability in millennium integrations with coupled atmosphere-ocean GCMs: a spectral view
      
 

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