Sentences with phrase «using climate modeling techniques»

Using climate modeling techniques, the scientists found no consensus regarding whether the blizzard could be attributed to a changing climate.

Not exact matches

With this new, aggregate climate map in hand, they turned to a technique used primarily by ecologists and biologists, called species distribution modeling, to identify fire - prone regions of the globe.

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.

Oppenheimer and his co-authors use a technique known as «structured expert judgment» to put an actual value on the uncertainty that scientists studying climate change have about a particular model's prediction of future events such as sea - level rise.

Unfortunately, many of these cloud properties must be estimated through parameterization, a technique used to represent complex small - scale systems, because climate model resolution is too coarse to resolve small - scale cloud features.

Now, scientists at Pacific Northwest National Laboratory, Caltech and Lancaster University have established a technique using climate models to compare the factors to the effects they have on climate change by peering into climate models from a different angle.

The climate models use a technique for calculating the greenhouse effect that predates quantum mechanics, and proper peer review.

The UK Met Office forecast uses a very different methodology than Gray, based upon climate models rather than a statistical technique.

It is also robust to the use of different climate models, different methods for estimating the responses to external forcing and variations in the analysis technique.

Building this ability will require careful monitoring of climate conditions, improved models for projecting changes, and the interpretation and synthesis of scientific data using novel analysis techniques.

Another question I had was if there are any approaches using data assimilation techniques in climate models.

Studies that compare results between models and analysis techniques (e.g., Hegerl et al., 2000; Gillett et al., 2002a; Hegerl and Allen, 2002), and more recently, that use multiple models to determine fingerprints of climate change (Gillett et al., 2002c; Huntingford et al., 2006; Stott et al., 2006c; Zhang et al., 2006) find a robust detection of an anthropogenic signal in past temperature change.

Observing System Simulation Experiments use the Hybrid Coordinate Ocean Model (HYCOM) and GFDL's GM2.6 climate model to interpret data and develop analysis and observing techniques in the Earth's ocModel (HYCOM) and GFDL's GM2.6 climate model to interpret data and develop analysis and observing techniques in the Earth's ocmodel to interpret data and develop analysis and observing techniques in the Earth's oceans.

«The climate model is run, using standard numerical modeling techniques, by calculating the changes indicated by the model's equations over a short increment of time — 20 minutes in the most advanced GCMs — for one cell, then using the output of that cell as inputs for its neighboring cells.

Further estimates of internal variability can be produced from long control simulations with climate models... Expert judgments or multi-model techniques may be used to incorporate as far as possible the range of variability in climate models and to assign uncertainty levels, confidence in which will need to be assessed.»

Statistical techniques generally use a mathematical method to form a relationship between the modelled climate and observed climate at an observation station.

Using modern measurements of air temperature, incoming / outgoing radiation, and ocean temperature / heat content should provide much more robust techniques of climate model validation.

However, one technique used to cast doubt on climate models is the tactic of impossible expectations.

This new research helps us understand the importance of the landscape in shaping the seasonal climate and extreme weather that we experience where we live, and suggests that the modeling technique used in the study could help scientists and land managers predict the impact of future forest clearing or restoration efforts.

The topic of predictability in weather and climate has advanced significantly in recent years, both in understanding the phenomena that affect weather and climate and in techniques used to model and forecast them.

We identify human and natural contributions to the observed IPWP changes since the 1950s by comparing observations with climate model simulations using an optimal fingerprinting technique.

Independently of climate models, the statistical forecast technique used by Sanchez - Sesma provides the basis for creating alternative scenarios of the 21st century climate.

This is usually achieved through a technique called «downscaling», which involves using weather statistics and interpolating data to add details between the distant grid points of a global climate model.

Thus, using EdGCM students can obtain a complete and meaningful research experience in which they learn about various climate change issues (global warming, past climates, etc.) while simultaneously learning about computer modeling techniques, Numerous universities, schools and research institutions are employing EdGCM as a means of lowering the barriers to participation in climate change and climate modeling science.

While the convergence of the model response to SST variability is encouraging, any technique used to identify internal variability must not be confounded by forced patterns of climate variability.

The climate scientists didn't use climate models for the study but instead turned to observations, combining two techniques: Kriging and linear regression.

Expert judgement techniques are used to categorize the tendencies of these elements in response to increased greenhouse forcing in climate model studies.

Numerous regionalisation techniques [8] have been employed to obtain high - resolution, SRES - based climate scenarios, nearly always using low - resolution General Circulation Model (GCM) outputs as a starting point.