Sentences with phrase «weather and climate data»

Even though the weather and climate data are free, the Finnish Meteorological Institute will charge for the manual data delivery, custom requests and other material that is non-open data.

The forced orthogonality of the oomponents introduces a false pattern because the source data (weather and climate data) are spatially correlated.

This innovative tool integrates corn development stages with weather and climate data for location - specific decision support tailored specifically to agricultural production.

Mainstream sources of weather and climate data are being used to cover the tracks of the climate engineers.

Adaptation: Sierra Leone has begun adaptation efforts including sustainable land and natural resource management programs as well as improved technical and institutional capacity development to provide improved access to weather and climate data.

The results are a part of the developing field of «weather attribution» that uses observational weather and climate data, weather forecasts and climate models.

From my years of electronics communications work modulating and then demodulating signals that have been transmitted over a radio frequency carrier method, I can see ways the overall long term signals in the weather and climate data could be understood.

NPP serves as a bridge mission from NASA's Earth Observing System (EOS) of satellites to the next - generation Joint Polar Satellite System (JPSS), a National Oceanic and Atmospheric Administration (NOAA) program that will also collect weather and climate data.

Some planning strategies were suggested by the principal investigator during discussions with the teacher; for example, having students collect vegetation data around the school ground, embedding hypothesis - posing questions in lessons, and comparing weather and climate data.

Recent progress by physicists from the Georgia Institute of Technology could one day help sharpen weather forecasts and extend their range by making better use of masses of weather and climate data.

The result is «a nearly 100 percent chance» of a gap in weather and climate data used by NOAA and the military, Glackin said, because the JPSS - 1 satellite won't be ready to replace its predecessor, the NPP satellite that launched last month, before it stops functioning.

Using census data, election data and village boundary information, combined with weather and climate data from the African desk of the U.S. National Oceanic and Atmospheric Administration, they managed to fuse village details with satellite rainfall data over the past 34 years.

The likely result is a gap in crucial weather and climate data (ClimateWire, May 4).

Not exact matches

Saildrone's fleet of sailboats — which are outfitted with dozens of sensors, measurement tools, and cameras — can capture data on fish and wildlife populations, environmental health, ocean temperatures, weather, and climate change.

Saildrone offers government researchers and private companies more easily accessible data on fish and wildlife populations, environmental health, ocean temperatures, weather, and climate change.

Among the biggest bureaucratic challenges faced by the UK Space Agency is its management of applications for new satellites, which are viewed as critical because of their ability to provide data on the environment, climate, weather, security agriculture, coastal management and disaster mitigation.

Since 1985, Project 2061 has led the way in science education reform by first defining adult science literacy in its influential publication Science for All Americans and then specifying what K - 12 students need to know in Benchmarks for Science Literacy, which helps educators implement science literacy goals in the classroom; the AAAS Science Assessment website with more than 700 middle school test items; and WeatherSchool @ AAAS, an online resource where students can use real - world data to learn about the fundamental principles of weather and climate.

A «coverage gap» in future years The agency had sought $ 910 million this year for its Joint Polar Satellite System (JPSS), which will provide data for weather forecasts, search - and - rescue operations and climate change research.

It's an effort to replace government - built satellite systems that collect and then share data with much cheaper privately owned systems, which in turn collect and sell weather, climate and other kinds of needed information to governments and private customers around the world.

Risky Business based its findings on data from the National Climate Assessment and Intergovernmental Panel on Climate Change (IPCC) reports, as well as peer - reviewed literature on extreme weather impacts on crops, labor productivity and energy system performance.

Understanding the balance between climatic changes and weather - driven mortality requires data on both long - term climate trends and the toll taken by extreme weather.

It's OK to state that, «The common belief that carbon dioxide is driving climate change is at odds with much of the available scientific data: data from weather balloons and satellites, from ice core surveys, and from the historical temperature records» when this is clearly untrue.

«However, our data covers timeframes spanning centuries and millennia — we can't zoom in on just a handful of years, which means we can only draw indirect conclusions regarding the extreme events that shape weather,» explains climate researcher Rehfeld, who is currently pursuing research with the British Antarctic Survey (BAS).

One day, oceanographers hope Spray and other gliders will be able to roam the oceans at will, providing an almost limitless supply of data that could be used to build more sophisticated climate models and develop better weather forecasts.

«Using more recent data and better analysis methods we have been able to re-examine the global weather balloon network, known as radiosondes, and have found clear indications of warming in the upper troposphere,» said lead author ARC Centre of Excellence for Climate System Science Chief Investigator Prof Steve Sherwood.

«We deduced from the data what natural weather and climate variations look like, then found anomalies in the data that looked more like sudden one - off shifts from these natural variations and removed them,» said Prof Sherwood.

Observation - based data sets, which focus mainly on local and regional climate, are obtained by taking raw climate measurements from weather stations and applying it to a grid defined over the globe.

Their work, which links ancient climate and archaeological data, could help modern communities identify new crops and other adaptive strategies when threatened by drought, extreme weather and other environmental challenges.

Every ten years the data center calculates new U.S. «climate normals,» or 30 - year average values, for meteorological elements such as temperature, precipitation, and heating and cooling degree days for thousands of U.S. weather stations.

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.

Plugging such weather data into a regional climate model revealed that the impacts were likely due to the increased mixing of the near - surface and higher - atmosphere air thanks to the wind turbines.

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.

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 key thing is to look at the climate over long periods of time and not try to find meaning in one weather event, said David Easterling, chief of the Scientific Services Division at NOAA's National Climatic Data Center.

Collects data on salinity, temperature, and pressure — fundamental data on all types of environmental change, from varying weather conditions to climate variations.

David W. J. Thompson of Colorado State University and Susan Solomon of the National Oceanic and Atmospheric Administration examined 30 years of climate data collected from surface stations and from weather balloons launched from sites around Antarctica.

According to data released by the National Centers for Environmental Information (NCEI), which tracks the nation's major weather and climate events, there were 16 «billion dollar» disasters in the United States in 2017, tying the record set in 2011 for most billion dollar disasters in a single year.

Professor Michael Norton, EASAC's Environment Programme Director states, «Our 2013 Extreme Weather Events report — which was based on the findings of the Norwegian Academy of Science and Letters and the Norwegian Meteorological Institute — has been updated and the latest data supports our original conclusions: there has been and continues to be a significant increase in the frequency of extreme weather events, making climate proofing all the more urgent.

New data show that extreme weather events have become more frequent over the past 36 years, with a significant uptick in floods and other hydrological events compared even with five years ago, according to a new publication, «Extreme weather events in Europe: Preparing for climate change adaptation: an update on EASAC's 2013 study» by the European Academies» Science Advisory Council (EASAC), a body made up of 27 national science academies in the European Union, Norway, and Switzerland.

In the past several years, researchers have used AI systems to help them to rank climate models, spot cyclones and other extreme weather events — in both real and modelled climate data — and identify new climate patterns.

This approach is a natural fit for climate science: a single run of a high - resolution climate model can produce a petabyte of data, and the archive of climate data maintained by the UK Met Office, the national weather service, now holds about 45 petabytes of information — and adds 0.085 petabytes a day.

Johansson, M. A., D. A. T. Cummings, and G. E. Glass, 2009: Multiyear climate variability and dengue — El Niño southern oscillation, weather, and dengue incidence in Puerto Rico, Mexico, and Thailand: A longitudinal data analysis.

Multiyear climate variability and dengue — El Niño southern oscillation, weather, and dengue incidence in Puerto Rico, Mexico, and Thailand: A longitudinal data analysis

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.

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

POLENET data is enabling new studies of the inner earth, tectonic plates, the earth's magnetic field, climate and weather, and the solar wind, and will lead to as yet unimagined discoveries about the critical polar regions of our planet.

Unlike Earth or Mars, Pluto has no satellites or ground stations, so the types of data that are used by normal weather and climate people (air pressure, temperature, atmospheric composition, etc.) are not available for Pluto.

Abatzoglou and two Oregon State University scientists compared weather observations with climate data for Oregon, Washington, Idaho and western parts of Montana and Wyoming.

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.

He uses numerical models and large data sets to study financial risks related to climate change impacts and extreme weather events.