World Weather Data Download
Download Zip https://urluss.com/2xUJcP
World Weather Records (WWR) is an archived publication and digital dataset of meteorological data from locations around the world. WWR was initially launched in 1927 as a publication. Data includes monthly mean values of pressure, temperature, precipitation, relative humidity, and where available, station metadata notes that document observation practices and station configurations.
In recent years, data were supplied by the National Meteorological Services of various countries, many of which became members of the World Meteorological Organization (WMO). The first issue included data from earliest records available at that time up to 1920. Data have been collected for:
World Weather Records (WWR) have been published since 1927, and include monthly mean values of pressure, temperature, precipitation, and where available, station metadata notes documenting observation practices and station configurations. Data were supplied by National Meteorological Services of the WMO Members. The first issue included data from earliest records available at that time up to 1920. Data have been collected for periods 1921-30 (2nd Series), 1931-40 (3rd Series), 1941-50 (4th Series), 1951-60 (5th Series), 1961-70 (6th Series), 1971-80 (7th Series), 1981-90 (8th Series), 1991-2000 (9th Series), and 2001-2010 (10th series). The WWR process of collection for the 11th series (2011-2020) is still on going.
Please use the button below for current global weather data. Please contact pdaggupa@uoguelph.ca for further queries and information. If you reached this page after looking for the old website, globalweather.tamu.edu, please know this data is no longer available except in the zipped format at the bottom of this page. We cannot assist in providing this older data in any other way. We recommend you use the new website linked below.
Each zip file contains daily precipitation, wind, relative humidity, and solar data in SWAT file format and CSV for 1979-2014. This data is available as is and there are no plans to update it in the future.
The National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) was completed over the 36-year period of 1979 through 2014. The CFSR was designed and executed as a global, high resolution, coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over this period. You may download daily CFSR data (precipitation, wind, relative humidity, and solar) in SWAT file format and CSV for the entire period in a zip file by continent.
Dile, Y. T., R. Srinivasan, 2014. Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. Journal of the American Water Resources Association (JAWRA) 1-16. DOI: 10.1111/jawr.12182
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Fuka, D.R., C.A. MacAllister, A.T. Degaetano, and Z.M. Easton. 2013. Using the Climate Forecast System Reanalysis dataset to improve weather input data for watershed models. Hydrol. Proc. DOI: 10.1002/hyp.10073.
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The Climate Change Knowledge Portal (CCKP) provides global data on historical and future climate, vulnerabilities, and impacts. Explore them via _______ and 1__________views. Access synthesized 2_________________to gain deeper insights into climate risks and adaptation actions. Disclaimer
Europe has a climate that is mostly influenced by the surrounding seas, the Alpine mountains and by influences from the Arctic. The weather in Western Europe his mostly influenced by the Atlantic Ocean. In summer that means cool weather with rain, in winter you have relatively mild weather with rain or winter showers.
The weather in Northern Europe is mainly influenced by polar air or the supply of warm (summer) or cold (winter) air from the former Soviet Union. Southern Europe, thanks to the fact that this area is closer to the equator and is under the influence of a fairly warm Mediterranean Sea experiences dry, hot summers and mild wet winters. Eastern Europe is the most extreme in terms of climate. In winter the Balkans can be extremely cold and in summer it can be very hot and this area is regularly hit by floods as a result of heavy rainfall.
Oceania mainly consists out of tropical climates when you look at the small islands. The huge islands Australia and New Zealand have a wider range of climate types and can be pretty different in terms of weather and climate.
Discover this weather-focused website, providing precise forecasts and climate data for popular destinations worldwide. Sourced from Foreca, it offers insights spanning 1992 to 2020. Explore with confidence, armed with accurate weather information at your fingertips.
WorldClimate.com contains over 85,000 records of worldclimate data (historical weather averages) from a wide range of sources.See about worldclimatefor details and instructions.3___________________________________________________________________________________________________________________________________________________________________________________________Please also read the frequently askedquestions. A new version with updated places and countries, plus much more climate and weather data, will be online soon.
4________: We are now adding tons of weather and climate info for cities and states across the world, starting with the US:
Receive a Daily or Weekly summary of the most important articles direct to your inbox, just enter your email below. By entering your email address you agree for your data to be handled in accordance with our Privacy Policy.
Scientists have published more than 400 peer-reviewed studies looking at weather extremes around the world, from wildfires in the US and heatwaves in India and Pakistan to typhoons in Asia and record-breaking rainfall in the UK. The result is mounting evidence that human activity is raising the risk of some types of extreme weather, especially those linked to heat.
The map above shows 504 extreme weather events and trends across the globe for which scientists have carried out attribution studies. The different symbols show the type of extreme weather; for example, a heatwave, flood or drought. The colours indicate whether the attribution study found a link to human-caused climate change (red), no link (blue) or was inconclusive (grey).
Use the plus and minus buttons in the top-left corner, or double click anywhere, to zoom in on any part of the world. Click on a symbol to reveal more information, including a quote from the original paper to summarise the findings and a link to the online version.
It is important to note that the weather events scientists have studied so far are not randomly chosen. They can be high-profile events, such as Hurricane Harvey, or simply the events that occurred nearest to scientific research centres. (More on this below.)
The map includes three different types of studies. The circles and hexagons on the map indicate papers published in peer-reviewed journals. The different shapes refer to whether the study considers an individual extreme event (circles), such as a wildfire or storm, or whether it analyses longer-term trends in extreme weather (hexagons), such as the change in frequency of flooding or marine heatwaves over time.
Of the attribution studies included here, scientists found that human-caused climate change has altered the likelihood or severity of an extreme weather event in 80% of cases studied (71% made more severe or likely and 9% made less so).
In 11% of extreme weather events and trends studied, scientists found no discernible influence from human activity. These are coloured blue in the map and the chart above. For a further 9%, the observational data or modelling techniques used in the study were insufficient to reach a reliable conclusion (shown as grey in the map and pie chart).
Another important point is that in cases where attribution science finds that climate change is making a given type of extreme weather more likely, it does not necessarily follow that the chance of experiencing that kind of weather gets incrementally higher each year. Natural variability means that there will still be ups and downs in the strength and frequency of extreme events.
Finally, there is usually a level of confidence attached to attribution results. So, while two studies might both find a role for human influence in a given weather event, the signal may be stronger for one than the other. For the purposes of this analysis, the attribution map does not distinguish between high- and low-confidence results, but users can click through to each study for more details.
The paper notes that, in a chaotic weather system, the complex dynamics of the atmosphere mean the size and path of a storm or heavy rainfall event has a large element of chance. This can make it tricky to identify where climate change fits in, potentially underestimating its influence.
For example, the paper reexamines an earlier study (pdf, p15) that suggested climate change had reduced the chances of the five-day heavy rainfall event that hit north-east Colorado in September 2013. Trenberth and colleagues argue that while climate change might not have made the specific weather system that brought the rain more likely, it will have contributed to the sheer volume of moisture in the atmosphere.
It is also important to stress that the absence of evidence for a link to climate change is not the same as evidence of absence. In other words, it does not necessarily mean there was no human influence, just that a particular analysis did not find one. This is why a single study should never be considered the final word on how climate change influences a given type of extreme weather.
This means that while the studies carried out so far are indicative of the role climate change is playing in extreme weather around the world, they should not be considered representative of all types of extreme weather everywhere, says Otto. She tells Carbon Brief: 5376163bf9
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