Sentences with phrase «types of climate predictions»

NASA study explains why two types of climate predictions don't match: historical records «miss a fifth of global warming»

Collins (2002) investigated this type of climate prediction, and found limited skill using a few metrics, in a few regions (one of these included the north Atlantic).

Not exact matches

Seeing himself as a strict empiricist whose hurricane predictions are based on decades of «crunching huge piles of data,» Gray is convinced that the atmosphere is too complicated to be captured in computer simulations, at one point fulminating that «any experienced meteorologist that believes in a climate model of any type should have their head examined.»

His model also makes specific predictions about the effect these clouds will have on the planet's climate and the types of information that future telescopes, like the James Webb Space Telescope, will be able to gather.

A new buzz - word is the concept of «seamless prediction», in which predictions ranging from nowcasting all the way to future scenarios are provided with a sliding time scale and that doesn't make distinction of incremental types such as «weather forecasts» «seasonal predictions» and «climate scenarios».

This is a request for precisely the type of prediction - based conditionality for decisions that is impossible to provide in the climate arena.

Is Trenberth saying that we are making too many Type II errors when we don't judge these models incapable of making useful predictions about future climate?

However, type 4 downscaling, while providing the illusion of higher skill because of the high spatial resolution climate fields, has never shown skill at prediction beyond what is already there in the parent global model.

Does the downscaling (in this case Type 4 downscaling) provide a more accurate result of climate variables requested by the impacts communities than can be achieved by interpolating the global parent model prediction to the finer grid and landscape?

And these types of analyses clearly cover a wider range than plain prediction of the local climate!

«The Earth's climate system is highly nonlinear: inputs and outputs are not proportional, change is often episodic and abrupt, rather than slow and gradual, and multiple equilibria are the norm... there is a relatively poor understanding of the different types of nonlinearities, how they manifest under various conditions, and whether they reflect a climate system driven by astronomical forcings, by internal feedbacks, or by a combination of both... [We] suggest a robust alternative to prediction that is based on using integrated assessments within the framework of vulnerability studies... It is imperative that the Earth's climate system research community embraces this nonlinear paradigm if we are to move forward in the assessment of the human influence on climate.»

Right now, however, we are lead to believe that the complexity of the Earth's climate is such that any type of short - term prediction is an ineffective measure, but simultaneiously, the center of a severe crisis.