Sentences with phrase «how weather data»

Think of it as a one - stop, user - friendly website that clearly demonstrates how weather data from around the globe are influenced by broader shifts in the planet's climate.

Not exact matches

The data may look promising on the surface, but given how good the weather was in June, Samuel Tombs, chief UK economist at Pantheon Macroeconomics argues it should have been stronger.

This year he works on observation and data recording as the class collects weather information for the daily calendar and keeps track of how many days a certain type of weather occurs.

Benjamin «Benjy» Firester, 18, of New York City, won the top award of $ 250,000 for developing a mathematical model that uses disease data to predict how weather patterns could spread spores of late blight fungus, which caused the Irish Potato Famine.

The researchers combed through data, noting what the weather was like on a given day and how far a runner went.

Atmospheric scientists are analyzing data from weather balloons and satellites for clues to how the ozone will fare when sunlight — a third factor in ozone loss — returns to the Arctic.

The weather service collects snowfall information only every six hours, and that data is useless to a pilot who needs to know how much snow has fallen on a plane in the 20 minutes before takeoff.

Cornell's plant experts estimate that Carolus could flower in early to mid-August, but there is no prior data with which to predict how it will acclimate to conditions and variables such as rain, changing light, and the risk of severe weather that could disrupt growth or even cause the plant to not fully develop.

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.

The newly available data gives researchers a treasure trove of measurements they can use to better understand how space weather works and how best to protect critical infrastructure, such as the nation's satellites, aircraft, communications networks, navigation systems, and electric power grid.

Examining the fresh crater could provide data on how space weathering affects Mercury's heavily pockmarked surface — but this crater is too small to see from Earth, and the Hubble Space Telescope can't look at Mercury because it would have to point at the sun.

The data has been «out there» for decades but only now it has been brought together we can perform analyses like this one to see the detailed patterns in how space weather maps out on the ground»

«As we build up a big archive — warm years, cold years, wet years and dry years — we can use the data to develop models of how weather and phenology are related,» he says.

«Massive data analysis shows what drives the spread of flu in the US: Models built with data from health claims, weather, geography and Twitter predict how the flu spreads from the south and southeastern coast.»

The analysis also incorporated data on «social connectivity,» which included estimates of how often people visit close friends and neighbors, air travel, weather, vaccination rates and changes in the flu virus itself.

«Our results show that the uncertainty estimates of greenhouse gas inventories depend on the calculation method and on how the input data for the model, such as weather and litterfall data, have been averaged,» says Aleksi Lehtonen, researcher at the Natural Resources Institute Finland (Luke).

First they used the weather station data to determine how temperatures in Philadelphia's urban and surrounding rural areas had changed over time.

For now, only Hubble can provide the data we need to understand how common or rare these fascinating neptunian weather systems may be,» said Wong.

Benjy Firester, 18, of New York City, won the top award of $ 250,000 for his development of a mathematical model which predicts how disease data and weather patterns could spread spores of the «late blight» fungus that caused the Irish Potato Famine and still causes billions of dollars in crop damages annually.

The data may also be used to forecast how changing ocean conditions may affect weather and climate systems worldwide.

It would be interesting to see how it stacks up to the weather station data, or to the satellite data of the past 30 years, for example.

The resulting data will also help improve how we forecast major eruptions on the Sun and subsequent space weather events that can impact life on Earth, as well as satellites and astronauts in space.

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.

The main objectives of the mission include obtaining new data on solar activity to help to better forecast space - weather events like solar flares which can directly impact Earth and orbiting satellites, trace the flow of energy from the Sun, better understand how the Sun's outer atmosphere is heated, and explore the physical mechanisms which accelerate the solar wind.

Entry - level model comes with the most equipment compared to the cars above: nice 7» HD screen with lots of features (XM data - traffic, weather), high - quality HD backup camera, AA works perfect, seats are comfortable on my long rides, and the price tag is unbelievable if you know how to negotiate - very low 18,000 s.

The Live Data category features live wallpapers that change based on factors such as the amount of charge your phone has left, how busy your day is, or the weather.

For an example of how that «citizen science» can really work, look at what Ron Broberg and Zeke Hausfeather are doing with the weather station data — they aren't sitting around declaring that «it can't be done» or that the GISTEMP / CRU / NCDC methods are fixed, they are going into the data, making choices, seeing what impact they have and determining what is robust.

Given how the naval protection of maritime trade is an ancient raison d'etre for navies, which traditionally have also sought to have the best knowledge of weather for tactical advantage, plus the increase in high seas piracy (coincidentally since not too long before when the data went anonymous) where it's to a navies advantage for not allowing resourceful pirates to know whether their ships have been in the area even in the last few days, I wouldn't discount the anonymising being primarily for military reasons.

For example, Crichton uses individual weather station data in the context of a lawyer showing how the defense will try to pursuade a jury.

FWIW, my best guess is that the difference between weather (which can not be predicted reliably for more than a few days no matter how much computing power you throw at it, and due to the data quantity / quality problem, it may well be technically impossible entirely under real - world conditions) and climate (which can be much better predicted on a global scale for a longer period of time with a higher degree of accuracy — still, a few years are the technical limit) is a difference of scale.

How about creating maps including the other weather - station data such as precipitation, local pressure, wind vector.

(VIDEO) Visualizing data makes it easier to understand exactly how an extreme weather event affected people's lives, livelihoods, and property and how those things could be affected in the future.

I have included both the GISS land Temperature station (dTs) datasets - dTS 1200 km and dTs 250 km - which differ in how far temperature data may be extrapolated from a weather station.

Project 5: 5a) Event attribution with CMIP5 data 5b) How does climate change alter the distribution of weather?

HAPPI provides a framework for the generation of climate data describing how the climate, and in particular extreme weather, might differ from the present day in worlds that are 1.5 and 2.0 °C warmer than pre-industrial conditions.

Working from collision data from Transport Canada, weather data from Environment Canada and the output of regional climate models, they explored how future changes in precipitation could effect road safety in the Greater Vancouver area.

Gore did not realize that the economic loss data he was looking at had not been adjusted («normalized») to take into account changes in socio - economic factors — notably population, wealth, and the consumer price index — that massively affect how much damage a particular weather event inflicts.

Aurora also takes into account weather data from a local weather station to account for how the local climate impacts the load profile of a site.

We carried out new laboratory experiments, and analysed the data from millions of weather balloons, to calculate exactly how much global warming carbon dioxide was causing.

I remember a professor I had in graduate school at John Carroll University told us a story about the time that he was threatened with arrest by the FBI for revealing climate data on how the Japanese were able to attack Pearl Harbor by using the known weather conditions that existed in December.

How much more is in question, but Dr. Lomborg cites satellite and weather balloon data that seem to weaken the case for a strong multiplier effect.

I was instructed to teach Jeremy, Andrew Weaver's other summer student, how to use the UVic climate model — he had been working with weather station data for most of the summer, but was interested in Earth system modelling too.

Consider for example how satellite data have made it possible to better analyze hurricane tracks allowing to judge about hurricane motion with some certainty a few days in advance, something entirely unavailable for the ancient weather forecasters.

I think we might agree more than you think, but, if weather and climate are as chaotic as I think you're saying how come, admittedly massive, computers with very limited data (certainly not as post # 20 call for) can predict them at all?

I am increasingly of the opinion that the problem in Australia is not so much placement of weather stations, but rather how the data is manipulated post collection.

How oceanic and atmospheric circulation patterns translate into things that matter directly to society (e.g. surface climate and weather) requires longer data sets that allows us to understand how the major multidecadal modes translate into atmospheric circulation patterns and surface climaHow oceanic and atmospheric circulation patterns translate into things that matter directly to society (e.g. surface climate and weather) requires longer data sets that allows us to understand how the major multidecadal modes translate into atmospheric circulation patterns and surface climahow the major multidecadal modes translate into atmospheric circulation patterns and surface climate.

We can start to estimate how countries may weather crises differently thanks to a 2005 analysis of historical data on global disasters.

So, if for example rain in a region is being increased or reduced artificially by a corporation like Weather Modification, Inc., or one of the many others, and those records are then used in the models for future climate data, how can that data be accurate if the weather being used to collect the data has been artificially modified?

Ewert's findings echo that of US meteorologists Joseph D'Aleo and Anthony Watts who examined 6,000 NASA weather stations and found a host of irregularities both with the way they were sited and how the raw data had been adjusted to reflect such influences as the Urban Heat Island effect.

This resource combines people's weather memories with data to investigate how the climate has changed.