Sentences with phrase «different weather models»

Surface variables such as T (2m) are strongly affected by their environment, which may be represented differently in different weather models (e.g. different spatial resolution implies different altitudes) and therefore is a reason for differences between reanalyses.

We use a number of different weather models and our 14 years of experience in Cayman waters.

They use «ensemble» modeling — which takes an average of many different weather models.

Not exact matches

To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.

They said the real strength of the Jacobson study — now in press at the Journal of Geophysical Research - Atmospheres — is that it relies on a new computer model of climate, air pollution and weather that accounts for several different ways black carbon influences the environment.

European and U.S. models frequently make different predictions about weather and storm tracks, including that of Hurricane Joaquin.

The scientists examined four different versions of the model outputs, each one translated for the region with data from weather stations in the Northwest through a process called «downscaling.»

This involves a combination of satellite observations (when different satellites captured temperatures in both morning and evening), the use of climate models to estimate how temperatures change in the atmosphere over the course of the day, and using reanalysis data that incorporates readings from surface observations, weather balloons and other instruments.

This model of Jeep has different alloy wheels, a black painted anti-glare bonnet decal, dual - tone black and silver shade, underbody skid plates, Signature Ruby Red Tow Hooks and all weather floor mats.

My local NOAA weather page, at the moment, reports that because two models used give rather different longrange results, the forecast is:

[Response: Uncertainty in the observations is very different from the uncertainty due to possible weather variations that might have happened but didn't (the dominant term in the near - future model spread).

While this methodology doesn't eliminate your point that the trends from different periods in the observed record (or from different observed datasets) fall at various locations within our model - derived 95 % confidence range (clearly they do), it does provide justification for using the most recent data to show that sometimes (including currently), the observed trends (which obviously contain natural variability, or, weather noise) push the envelop of model trends (which also contain weather noise).

There are basically two key points (explored in more depth here)-- comparisons should be «like with like», and different sources of uncertainty should be clear, whether uncertainties are related to «weather» and / or structural uncertainty in either the observations or the models.

The climate is a measure of the statistical properties of the weather which results from different runs of the models.

ECMWF, NCEP GFS, UK MetOffice Unified Model, and Canadian GEM are the top global weather models and each use somewhat different methods to forecast one atmosphere.

The breadth is inspiring: From novel bioactives for biotechnology and agri - tech, over autonomous and remote sensing for challenging environments, to modelling for space weather forecasts and sea - level rise our expertise can add value to many different sectors of industry and society.

(Phys.org)-- The first study that combines different scales — cloud - sized and earth - sized — in one model to simulate the effects of Asian pollution on the Pacific storm track shows that Asian pollution can influence weather...

(Note that some of these differences also result from random weather variations, and therefore do not represent true differences among model responses to greenhouse gas increases, but nevertheless can lead to different simulation results.)

Different models are used for weather prediction versus climate forecasts.

Multiple road weather models are currently used around the world, but only few studies are made where the results from different models are compared together.

To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.

I do recall that proposed physical causes for abrupt climate change include orbital variations and combinations of feedbacks... and none of this negates the different drivers / modeling approaches for weather systems versus climate.

The main catch I can see is that figuring out how to account for the planets» different atmospheres might recreate the debates that are now going on about how to properly model the Earth's weather system.

Several days ago, Andy Revkin did a nice post querying a number of weather forecasters and researchers about the relative merits of the different forecast models [link], particularly since everyone seemed to be paying attention to the European model (ECMWF) rather than NOAA's GFS model.

These are quite different from the questions you ask with weather models.

Weather is predictable for a week or so — initialised and nested models at different scales may be able to integrate weather into short term climate prediction.

This is important because the CAGW now seems to centre around CO2 causing «extreme weather» and the suggested activity by the different agencies to move the global temperature up to the models rather than the other way round.

Start a variety of model runs with different initial conditions, and they would show, like most calculations with complex nonlinear feedbacks, random variations in the weather patterns computed for one or another region and season.

Much like a motorcycle and an electric car, weather and climate models include similar «parts,» but they start with different kinds of data and are operated in different ways.

The work was discussed (3) by Dr Kip Hansen, who made the point that the results illustrate well the original finding by Edward Lorenz in the 1960s using a weather model on an early computer: «Two states differing by imperceptible amounts may eventually evolve into two considerably different states.

Climate change was assessed by means of two Long Ashton Research Station - Weather Generator (LARS - WG) weather generators and all outputs from the available general circulation models in the Model for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local sModel for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local smodel has been used for projections at the local scale.

The University of Oxford's role will be to test different approaches to attribution, in particular to define extreme weather events and evaluate our models, using climateprediction.net's distributed computing system.

The Seasonal and Climate Applications group of the Finnish Meteorological Institute is composed of internationally known experts who do research on the post-processing possibilities and usage of different scale weather and climate predictions models.

Furthermore, a single model may give different answers for the future temperature over North America, depending on which day is used to describe the weather at the starting point of the model simulation (Deser et al., 2012).