Sentences with phrase «extreme weather data»

Although the data from both papers clearly showed no unusual increase in extreme weather, we must still be cautious about interpreting any extreme weather data.

Not exact matches

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.

«These data suggest that one result of the increasing frequency and intensity of extreme weather events will be homogenization of diversity in cities and that the direction of this simplification of urban communities may be quite predictable,» says Savage.

«Testing these contrasting hypotheses was an opportunity to not only help people understand and plan for diversity changes after extreme weather events, but also to provide important data that would move the field of ecology forward.»

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.

«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).

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.

«Our data show that the risk of hospitalization for asthma related to extreme weather varies across demographic subgroups in Maryland.

Accumulating data from across the globe reveal a wide array of effects: rapidly melting glaciers, destabilization of major ice sheets, increases in extreme weather, rising sea level, shifts in species ranges, and more.

To identify extreme weather events, the researchers relied on county and calendar day specific thresholds for precipitation and maximum temperature (90th and 95th percentile, respectively) that were calculated based on 30 years of baseline data (1960 - 1989).

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 confirm increased frequency of extreme weather events: European national science academies urge further action on climate change adaptation.»

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.

More data are supporting a once - controversial theory that the warming Arctic is making winter weather more extreme

Data from its first national climate change adaptation strategy issued last year show that extreme weather events have killed more than 2,000 people each year on average since the 1990s.

Tethered moorings and platforms are designed to reliably collect, record, and transmit accurate data while submerged in corrosive saltwater and exposed to extreme weather conditions for long periods of time.

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

BTS uses the data collected from airlines to determine the percentage of late flights delayed by weather, which includes those reported in the categories of extreme weather, late - arriving aircraft, and National Aviation System delays.

In January 2018, the carriers filing on - time performance data reported that 20.38 percent of their flights were delayed — 5.30 percent of their flights were delayed by aviation system delays, compared to 5.58 percent in December; 6.16 percent by late - arriving aircraft, compared to 6.72 percent in December; 4.93 percent by factors within the airline's control, such as maintenance or crew problems, compared to 5.46 percent in December; 0.72 percent by extreme weather, compared to 0.56 percent in December; and 0.04 percent for security reasons, compared to 0.05 percent in December.

In December 2017, the carriers filing on - time performance data reported that 19.73 percent of their flights were delayed — 5.58 percent of their flights were delayed by aviation system delays, compared to 3.60 percent in November; 6.72 percent by late - arriving aircraft, compared to 3.89 percent in November; 5.46 percent by factors within the airline's control, such as maintenance or crew problems, compared to 3.61 percent in November; 0.56 percent by extreme weather, compared to 0.16 percent in November; and 0.05 percent for security reasons, compared to 0.04 percent in November.

In March, the carriers filing on - time performance data reported that 5.70 percent of their flights were delayed by aviation system delays, compared to 6.92 percent in February; 8.09 percent by late - arriving aircraft, compared to 9.09 percent in February; 6.11 percent by factors within the airline's control, such as maintenance or crew problems, compared to 6.78 percent in February; 0.39 percent by extreme weather, compared to 0.74 percent in February; and 0.02 percent for security reasons, equal to 0.02 percent in February.

In June, the carriers filing on - time performance data reported that 4.83 percent of their flights were delayed by aviation system delays, compared to 4.75 percent in May; 6.98 percent by late - arriving aircraft, compared to 5.56 percent in May; 5.62 percent by factors within the airline's control, such as maintenance or crew problems, compared to 4.59 percent in May; 0.50 percent by extreme weather, compared to 0.58 percent in May; and 0.04 percent for security reasons, compared to 0.03 percent in May.

In October, the carriers filing on - time performance data reported that 5.42 percent of their flights were delayed by aviation system delays, compared to 4.98 percent in September; 6.13 percent by late - arriving aircraft, compared to 5.72 percent in September; 4.97 percent by factors within the airline's control, such as maintenance or crew problems, compared to 4.65 percent in September; 0.25 percent by extreme weather, compared to 0.34 percent in September; and 0.03 percent for security reasons, equal to 0.03 percent in September.

In January, the carriers filing on - time performance data reported that 6.60 percent of their flights were delayed by aviation system delays, compared to 7.77 percent in December; 9.87 percent by late - arriving aircraft, compared to 11.25 percent in December; 7.66 percent by factors within the airline's control, such as maintenance or crew problems, compared to 8.03 percent in December; 1.26 percent by extreme weather, compared to 0.95 percent in December; and 0.03 percent for security reasons, compared to 0.05 percent in December.

In April, the carriers filing on - time performance data reported that 7.57 percent of their flights were delayed by aviation system delays, compared to 6.15 percent in March; 8.35 percent by late - arriving aircraft, compared to 7.41 percent in March; 5.68 percent by factors within the airline's control, such as maintenance or crew problems, compared to 5.35 percent in March; 0.55 percent by extreme weather, compared to 0.32 percent in March; and 0.04 percent for security reasons, equal to 0.04 percent in March.

Data collected by BTS also show the percentage of late flights delayed by weather, including those reported in either the category of extreme weather or included in National Aviation System delays.

In May, the carriers filing on - time performance data reported that 6.67 percent of their flights were delayed by aviation system delays, compared to 7.57 percent in April; 7.71 percent by late - arriving aircraft, compared to 8.35 percent in April; 5.47 percent by factors within the airline's control, such as maintenance or crew problems, compared to 5.68 percent in April; 0.68 percent by extreme weather, compared to 0.55 percent in April; and 0.05 percent for security reasons, compared to 0.04 percent in April.

In June 2017, the carriers filing on - time performance data reported that 23.76 percent of their flights were delayed — 6.86 percent of their flights were delayed by aviation system delays, compared to 6.89 percent in May; 8.85 percent by late - arriving aircraft, compared to 7.40 percent in May; 5.96 percent by factors within the airline's control, such as maintenance or crew problems, compared to 5.19 percent in May; 0.70 percent by extreme weather, compared to 0.37 percent in May; and 0.04 percent for security reasons, compared to 0.02 percent in May.

The Secretary shall determine and provide to transportation planners appropriate data on the impact on infrastructure of natural disasters and a higher frequency of extreme weather.

In August, the carriers filing on - time performance data reported that 5.07 percent of their flights were delayed by aviation system delays, compared to 6.21 percent in July; 6.42 percent by late - arriving aircraft, compared to 8.13 percent in July; 5.16 percent by factors within the airline's control, such as maintenance or crew problems, compared to 6.37 percent in July; 0.46 percent by extreme weather, compared to 0.79 percent in July; and 0.04 percent for security reasons, compared to 0.05 percent in July.

But the scientists added their data also showed that there would be a «modest increase» in the intensity of these extreme weather events

And when it comes to daily data and changes in weather extremes and weather variability, I am not at all convinced yet that we are able to remove most of the bias.

The study, combining data from observed storms with a variety of climate simulations, did not extend beyond 1999 and so does not assess more recent extreme weather events.

New website provides one - stop shop for flood maps, data on sea level and temperature changes, and other information to aid in planning for future extreme weather events

(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.

Their answers were compared with National Weather Service data on extreme weather events in their area.

Observational data, evidence from field experiments, and quantitative modeling are the evidence base of the negative effects of extreme weather events on crop yield: early spring heat waves followed by normal frost events have been shown to decimate Midwest fruit crops; heat waves during flowering, pollination, and grain filling have been shown to significantly reduce corn and wheat yields; more variable and intense spring rainfall has delayed spring planting in some years and can be expected to increase erosion and runoff; and floods have led to crop losses.4, 5,6,7

The record low for summer ice was hit in 2007 and scientists from the National Snow and Ice Data Centre (NSIDC), which is supported NASA, say that extreme was hit thanks to freak weather conditions.

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.

And remember, the satellite data are one small part of a vast amount of data that overwhelmingly show our planet is warming up: retreating glaciers, huge amounts of ice melting at both poles, the «death spiral» of arctic ice every year at the summer minimum over time, earlier annual starts of warm weather and later starts of cold weather, warming oceans, rising sea levels, ocean acidification, more extreme weather, changing weather patterns overall, earlier snow melts, and lower snow cover in the spring...

More importantly, the SPM SREX fails to inform the public and policy makers that, as many readers of this blog probably know, empirical data show that deaths and death rates from extreme weather and climatic extremes have declined over the past few decades (Figure 1).

Yet despite these data, story after story continues to peddle the claim that the weather is getting more extreme, using whatever recent string of bad weather as the hook.

But the data don't show any trend in extreme weather events in the U.S. for decades.

Erasing empirical temperature records, attributing extreme weather events to global warming without any data, yet you probably find their actions to be fine, regardless of the harm they have done.

A new report from Environment Missouri presents data on U.S. federally - declared weather disasters from 2006 to 2011, and says climate change will make extreme weather events like droughts and storms more common — and more severe.

But a deeper look at the global data suggests that attempts to link the last year's extreme weather to climate change are highly misleading.

Pielke also pointed to the hard scientific data that shows other types of extreme weather are * not getting worse and may in fact be improving *.

However, by most metrics, the data shows us that extreme weather events are becoming «less» extreme as CO2 increases.

More than 370,000 people died during the decade as a result of extreme weather and climate conditions — heat, cold, drought, storms and floods, according to data from the Centre for Research on the Epidemiology of Disasters.