Sentences with phrase «weather data analysis»

Work related to climate change and building energy use can be grouped into two major areas — weather data analysis and building energy consumption.

Not exact matches

The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.

Note: Our database of closing lines from Pinnacle and weather data dates back to 2003, so results for games played before the 2003 season were not included in our analysis.

They've created an empirical model fed by careful analysis of 37 years of historical weather data.

«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.

«The evaluation will be based on the integrated and long - term analysis of PM2.5 data, weather information and cases of local residents» diseases and deaths,» Xinhua said.

So in 2007 he started Forensic Weather Consultants, which offers meteorological snooping to local lawyers, providing expert analysis of weather data and satellite imagery.

Comprehensive analysis of satellite weather data shows that these are indeed regions where significant reductions in storm activity are detected during the rainy season.

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»

«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.

A big data analysis involving more than 1.5 million patients could find no relationship between weather and complaints to doctors about joint or back pain.

But a new analysis of more than six decades of daily temperature and snowfall data by Cohen and his team suggests arctic heat waves may actually be linked to severe cold weather at lower latitudes... perhaps through the polar vortex.

In summer, however, the analysis of observational data coming from weather stations and satellites reveals a clear decrease in the average storm activity.

By correlating the relevant environmental variables through analysis of data from sources such as space, weather stations, etc., the researchers were able to scientifically validate a potential cause for chick weight variation over time.

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

A Climate Central analysis of 65 years of winter precipitation data from more than 2,000 weather stations in 42 states, found a decrease in the percent of precipitation falling as snow in winter months for every region of the country.

The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MManalysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMAnalysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)

Here we present an analysis of daily global fire weather trends from 1979 to 2013 based on three sub-daily global meteorological data sets (the National Center for Environmental Prediction (NCEP) Reanalysis, NCEP - DOE Reanalysis II and the European Centre for Medium - Range Weather Forecasts (ECMWF) Interim Reanalysis) 35,36,37 between ∼ 0.75 ° and 2.0 ° grid cell resolution.

Students will use observation and analysis to determine the methods, data, tools, and information used in forecasts of the weather by creating a graphic organizer (webbing).

Sidney compares the team's data analysis methods to different ways to predict weather outcomes.

One of the papers cited in support of this is the analysis of weather balloon data by [Gaffen et al, 2000], which covers the period 1960 to 1997.

I just did a quick regression analysis (using Excel) of the Quatsino, B.C. weather data.

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.

«Statistical analysis of our data revealed that this decline is attributable to perceptions of recent weather changes by the minority of Americans who have been skeptical about climate scientists.

My own analysis for my neck - of - the - woods (slightly less definite due to the data from the local weather station having stalled in May 2013 — probably due to spending cuts)-- February saw record rainfall, 38 % above the previous 55 - year February maximum and 3.35 sd above the February mean.

«They had done far more extensive and sophisticated analysis of the weather records, confirmed by «proxy» data such as studies of tree rings and measurements of old temperatures that lingered in deep boreholes.»

Menne 2010 performs data analysis to determine whether there is a warming bias in poorly position weather stations and finds overall, there is actually a cooling bias.

To conduct its analysis, GISS uses publicly available data from three sources: weather data from more than a thousand meteorological stations around the world; satellite observations of sea surface temperature; and Antarctic research station measurements.

DES MOINES (AP)-- Warmer and wetter weather in large swaths of the country have helped farmers grow corn, soybeans and other crops in some regions that only a few decades ago were too dry or cold, experts who are studying the change said... The change is due in part to a 7 % increase in average U.S. rainfall in the past 50 years, said Jay Lawrimore, chief of climatic analysis for the Asheville, N.C. - based National Climactic Data Center... Brad Rippey, a U.S. Department of Agriculture meteorologist, said warming temperatures have made a big difference for crops such as corn and soybeans... For example, data from the National Agricultural Statistics Service show that in 1980, about 210,000 soybean acres were planted in North DakData Center... Brad Rippey, a U.S. Department of Agriculture meteorologist, said warming temperatures have made a big difference for crops such as corn and soybeans... For example, data from the National Agricultural Statistics Service show that in 1980, about 210,000 soybean acres were planted in North Dakdata from the National Agricultural Statistics Service show that in 1980, about 210,000 soybean acres were planted in North Dakota.

The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea - surface temperature, and Antarctic research station measurements.

For analysis of this data, check out Inside Energy's map illustrating the rise of severe weather related outages and Dan Boyce's radio story on the tenuous relationship between solar panels and the grid, which includes a graph showing the increase of grid disruption events.

Dr. Nehrkorn's 30 year research tenure at AER has included work on numerical weather prediction models, data assimilation systems, humidity to cloud relationships, three dimensional analysis of atmospheric quantities and studies of the angular momentum budget of the atmosphere.

I have close to 40 years of work experience in air quality and weather forecasting, analysis, monitoring, quality assurance, and data validation.

«The temperature graphs are made from numerical weather prediction (NWP) «analysis» data.

Method: Probabilistic statistical model and subjective analyses of weather data.

This is a 1995 analysis by Shell International B.V. scientist Peter Langcake of whether climate change was in fact underway and if, as some scientists were suggesting, a «signal» had been detected showing human influence on climate from temperature, weather, polar ice melt and other data.

The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea surface temperature and Antarctic research station measurements.

New Report: «Extreme Weather Report 2012»: «Latest peer - reviewed studies, data & analyses undermine claims that current weather is «unprecedented» or a «new normal» — Climate Depot's New 35 - Page Report: «Current weather is neither historically unprecedented, nor unusual» — «Extreme weather events are ever present, and there is no evidence of systematic increases» — Presented at UN Climate Conference in Doha, Qatar on Dec. 6, 2012

Our analysis uses administrative earnings records for over 12 million individuals born in the United States between 1969 and 1977, linked to fine - scale, daily weather data and location and date of birth.

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

Regulators need to: include climate risks in company solvency and consumer - impact analysis; review the «standards of insurability» to identify new challenges, including climate - related hazards in the US and abroad; encourage insurers to collect more comprehensive data on losses; elevate standards for catastrophe modeling; and assess exposure of insurer investments and adequacy of capital and surplus to extreme weather events.

Insurers need to: collect more complete data on weather - related losses; incorporate climate modeling into their risk analyses; analyze the implications of climate change on their business and investments and share the results with shareholders; and encourage policy action to reduce greenhouse gas emissions.

''... authors obtained meteorological data from weather stations situated in eight of the provincial capitals that covered the period 1980 - 1998, while they obtained contemporary mortality data from the country's National Institute for Statistics for deaths associated with cardiovascular, respiratory and digestive system diseases... Various analyses of the monthly - averaged data revealed a number of interesting results.

Analysis of insurance data convinces environmental economists that climate change is pushing up the cost of dealing with the disastrous effects of extreme weather events.

The collection, organization, analysis, interpretation and presentation of data (http://en.wikipedia.org/wiki/Statistics) from the atmosphere, ocean, land surface and cryosphere does neither represents: weather or climate.

«Working with data pertaining to 7450 cardiovascular - related deaths that occurred within Budapest, Hungary, between 1995 and 2004 — where the deceased were «medico - legally autopsied» — Toro et al. looked for potential relationships between daily maximum, minimum and mean temperature, air humidity, air pressure, wind speed, global radiation and daily numbers of the heart - related deaths... scientists report and restate their primary finding numerous times throughout their paper, writing that (1) «both the maximum and the minimum daily temperatures tend to be lower when more death cases occur in a day,» (2) «on the days with four or more death cases, the daily maximum and minimum temperatures tend to be lower than on days without any cardiovascular death events,» (3) «the largest frequency of cardiovascular death cases was detected in cold and cooling weather conditions,» (4) «we found a significant negative relationship between temperature and cardiovascular mortality,» (5) «the analysis of 6 - hour change of air pressure suggests that more acute or chronic vascular death cases occur during increasing air pressure conditions (implying cold weather fronts),» (6) «we found a high frequency of cardiovascular death in cold weather,» (7) «a significant negative relationship was detected between daily maximum [and] minimum temperature [s] and the number of sudden cardiovascular death cases,» and (8) «a significant negative correlation was detected between daily mean temperature and cardiovascular mortality.»

For the «2013 as observed» experiment, the atmospheric model uses observed sea surface temperature data from December 2012 to November 2013 from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) dataset (Stark et al. 2007; Donlon et al. 2012) and present day atmospheric gas concentrations to simulate weather events that are possible given the observed climate conditions.

They come to genuinely believe weather equals climate, and all the usual climate myths, because they think AGW is a giant liberal conspiracy, so none of the data can be trusted and you do nt need to apply logical analysis because its all a conspiracy and fake data and equations anyway.