Sentences with phrase «weather and climate predictions»

Engineers rely on accurate weather and climate predictions to design roadways, bridges, and other major projects: climate conditions of the future will no longer resemble those of the past.

Certain aspects of capitalism may be morally questionable, but making a business out of weather and climate predictions?

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.

Fundamentally, therefore, therefore we should think of weather and climate predictions in terms of equations whose basic prognostic variables are probability densities ρ (X, t) where X denotes some climatic variable and t denoted time.

They said there's a difference between weather and climate predictions, but climate is an average of the weather and therefore only as valid as it.

Knowledge that all official weather and climate predictions come from computer models and are consistently wrong.

Promote the development of data assimilation methods for application to numerical weather and climate predictions, and for the estimation of derived climatological quantities.

Chief we should think of weather and climate predictions in terms of equations whose basic prognostic variables are probability densities ρ (X, t) where X denotes some climatic variable and t denoted time.

The paper (DOI 10.1038 / ngeo2957), published May 29 in Nature Geoscience, is the first to look at biosphere - atmosphere interactions using purely observational data and could greatly improve weather and climate predictions critical to crop management, food security, water supplies, droughts, and heat waves.

The Met Office weather and climate prediction model is one of the most advanced models of its kind.

As NASA prepares for the Journey to Mars, weather and climate prediction are key concerns for the surface operations of the human crews.

Edwards» book is brilliant — a must read for anyone interested in appreciating the complexities of the data collection and analysis systems that underpin weather and climate prediction.

From the conclusions of: Simulating regime structures in weather and climate prediction models

The potential benefits of this commonality are significant and include improved predictions on all time scales and stronger collaboration and shared knowledge, infrastructure, and technical capabilities among those in the weather and climate prediction communities...

Julia Slingo, Tim Palmer (2011)-- Uncertainty in weather and climate prediction

Slingo and Palmer 2011 Uncertainty in weather and climate prediction

But the difficulty is summarized by:» Ensemble methods now play a central role in simulation - based weather and climate prediction.

This meeting follows on from the 2010 Anniversary Discussion Meeting on «Handling Uncertainty in Science» but with a focus on weather and climate prediction and downstream applications.

Foundation Science brings together those areas of Research and Development which are fundamental to Met Office excellence across both weather and climate prediction.

Foundation Science provides the underpinning science and model development critical to both weather and climate prediction.

APPLICATE brings together an international and multidisciplinary team of experts in weather and climate prediction in order to improve climate and weather forecasting capacity and to provide guidance on the design of the future observing system in the Arctic.

If you wish to subscribe to [email protected], the joint mailing list for polar weather and climate prediction and predictability by CliC and PPP, please send an e-mail to [email protected]

Seems that hurricane prediction is as difficult as weather and climate prediction...

Not exact matches

In a new paper in npj Climate and Atmospheric Science, the CSU researchers describe a breakthrough in making accurate predictions of weather weeks ahead.

Regardless of what climate models find, investigating these long - distance links in weather could also pay off by improving risk prediction and forecasts.

Predictions of weather and climate for months, seasons and decades ahead lie between normal weather forecasts and climate projections for the coming century — concerning both what influences the climate on these time - scales, and the methods required to make such pPredictions of weather and climate for months, seasons and decades ahead lie between normal weather forecasts and climate projections for the coming century — concerning both what influences the climate on these time - scales, and the methods required to make such predictionspredictions.

It's also useful in cosmology and charting the far reaches of the Milky Way, weather prediction and climate change modeling or even aerial reconnaissance missions for national defense.

Small, low - cost satellites may vastly improve future predictions of weather and climate change

NASA is preparing to launch a duo of cloud - monitoring satellites that could help produce more accurate weather predictions and improve our understanding of how clouds affect climate.

Gabriel Vecchi, head of the climate variations and predictability group at NOAA's Geophysical Fluid Dynamics Lab and another author on the paper, says decades of weather prediction data show that forecasts have improved — and will improve — as scientists learn more about hurricanes.

Scientists looked at modeled predictions of climate change and reproductive data from lesser prairie - chickens from 2001 - 2011 to determine how weather conditions affect reproductive success in the Southern High Plains.

«Hotspots show that vegetation alters climate by up to 30 percent: Engineers find strong feedbacks between the atmosphere and vegetation that explain up to 30 % of precipitation and surface radiation variance; study reveals large potential for improving seasonal weather predictions.»

Number one: climate - related extreme weather events have become far more serious and frequent, validating the predictions of the scientific community.

Even now, the world's most powerful computers are pushed to their limits extracting predictions of future weather and climate from the equations he wrestled with using pencil and paper.

Scientists are involved in the evaluation of global - scale climate models, regional studies of the coupled atmosphere / ocean / ice systems, regional severe weather detection and prediction, measuring the local and global impact of the aerosols and pollutants, detecting lightning from space and the general development of remotely - sensed data bases.

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

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 understanding will help scientists improve global climate projections and predictions of extreme weather and climate change.

Now that has been destabilized, along with many other aspects of both climate and weather prediction.

Because the monsoon drives weather patterns around the world and affects the stratosphere globally, this research will also improve our understanding of climate processes worldwide and will improve climate predictions where we live.»

A few climate models have been tested for (and shown) capability in initial value predictions, on time scales from weather forecasting (a few days) to seasonal forecasting (annual).

But some ocean patterns in the climate system can persist much longer, and understanding them can help make useful predictions for regional and global averages that don't depend so much on specific weather patterns.

The statistics of the weather make short term climate prediction very difficult — particularly for climate models that are not run with any kind of initialization for observations — this has been said over and over.

The purpose of NASA's Earth science program is to develop a scientific understanding of Earth's system and its response to natural or human - induced changes and to improve prediction of climate, weather, and natural hazards.

By cherry - picking a few successful (mostly) long range weather forecasts, you neatly imply that climate predictions are just a really, really long range weather forecast, and so while possibly right, most likely they will fall prey to all this «uncertainty» you wave around.

These services include: weather forecasting; climate prediction; natural hazard assessment, prediction, and response; and environmental management, including air quality forecasting and land use assessment.

This is quite subtle though — weather forecast models obviously do better if they have initial conditions that are closer to the observations, and one might argue that for particular climate model predictions that are strongly dependent on the base climatology (such as for Arctic sea ice) tuning to the climatology will be worthwhile.

Specializing in the parameterization of land - atmosphere exchange for use in Global Climate, Regional Mesoscale, and Local Cloud - Resolving numerical weather prediction models.

I received an e-mail yesterday from Judah Cohen, a commercial weather and climate analyst who made a prediction in late December for a particularly cold pattern of North American temperatures through the remainder of the winter — based on his hypothesized link between autumn snow cover in Siberia and winter conditions on this continent.

The researchers compared predictions of 22 widely used climate «models» — elaborate schematics that try to forecast how the global weather system will behave — with actual readings gathered by surface stations, weather balloons and orbiting satellites over the past three decades.