Online Weather

The information contained in JetStream is arranged by subject, beginning with global and large-scale weather patterns followed by lessons on air masses, wind patterns, cloud formations, thunderstorms, lightning, hail, damaging winds, tornados, tropical storms, cyclones, and flooding. Interspersed in JetStream are "Learning Lessons" which can be used to enhance the educational experience.

You are free to use the materials in any manner you wish. We welcome your feedback on this project. Your input will greatly assist others in teaching the "hows" and "whys" of weather. Not sure where to begin? Click to see all topics in JetStream in the Topic Matrix.

Online Weather

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JetStream Online School for Weather provides educators, emergency managers, or anyone interested in learning about weather and water with comprehensive, well-organized, colorfully illustrated curricula designed to help teach about the wonders and dangers that abound in the Earth's atmosphere.

We are now leveraging our big data smarts to deliver on the promise of IoT. By integrating our hyper-local weather data with Smart Home connected devices we are delievering predictive energy efficiency insight to homeowners and Utility companies.

I am attempting to create a map weather map on ArcGIS Online. I am able to add layers that are available from ESRI and the NWS site itself. The static layers do not give any issues, however, when I attempt to link a layer that is timed (looped) it does not work.

Use the program's innovative forecasting techniques and conceptual approaches to learn about meteorology, enrich your hobby, supplement your professional career, or build a preparatory foundation for future study or work. As a student in this program, you will have an opportunity to become a better-informed, critical consumer of weather-related news. Whether you are an amateur weather enthusiast or a weather-related industry professional, enrolling in this 12-credit certificate program can help you refine your skills to more effectively predict the weather.

Our faculty continue to pioneer research in areas such as weather communications, severe storms, tropical cyclones, weather risk, and more. This online program uses cutting-edge forecasting techniques as well as innovative conceptual models to help you learn more about the science of meteorology. Interactive, web-based animations can help you to develop operational forecasting skills and gain keen insights into how the atmosphere works.

The online undergraduate certificate in weather forecasting is a four-course, 12-credit program of study designed to provide students with a foundational apprenticeship in weather forecasting. To earn this certificate, you must successfully complete the four prescribed meteorology courses.

The delivery method for the core courses in this program is "online group," with a group of students progressing together through each course. The courses are offered in a timeframe comparable to a traditional semester schedule, with fixed start and end dates. The course content and activities are available in electronic format, and access to the web is required in order to complete this program.

Steve Seman is the lead faculty for the Undergraduate Certificate in Weather Forecasting program and an assistant teaching professor in the Department of Meteorology and Atmospheric Science. He has written forecasts for the New York Times and has regularly appeared as a forecaster on Weather World, which airs on WPSU television and the Pennsylvania Cable Network. He specializes in weather analysis and forecasting on the synoptic scale and mesoscale, as well as in instructional design and development of asynchronous online courses. He was the recipient of both the John A. Dutton Award in Atmospheric Dynamics and the Special Award for Teaching Support in Meteorology in 2003.

Steve Corfidi is a research associate for the Cooperative Institute for Mesoscale Meteorology Studies at the University of Oklahoma and the NWS Warning Decision Training Division. Prior to this position, he retired as a lead forecaster with the National Weather Service's Storm Prediction Center in Norman, Oklahoma. Corfidi has won numerous awards for excellence in forecasting, including Department of Commerce Silver Medals for his contributions to forecasts of tornado outbreaks on April 2, 1982, and December 16, 2000, as well as a Gold Medal for a series of severe weather outbreaks from May 4 to 10, 2003. He joined the certificate program faculty in 2013.

Colonie Weather Online is privately owned and operated, and is not affiliated with the Town of Colonie (NY), or any business or governmental entity. This data is provided as a hobby from a personal weather station, and while regularly verified for accuracy, you should not base important decisions regarding life or property on information from this website.

Severe Weather Spotters are a vital link in the timely and accurate flow of weather information into and out of weather forecast offices. Click here to learn more. Storm Spotter training is available to the public as conducted by the local NOAA/NWS Forecast Office on an annual scheduled basis. If you are interested in attending these training sessions and becoming a spotter, please contact your local NOAA/NWS Forecast office or the national coordinator:

National Coordinator: Chris Maier, phone: 301-427-9305, email: chris.maier@noaa.gov

But what effect does the weather have on virtual stores? With most retailers having an online presence, an understanding of the effect that weather has on eCommerce website traffic and conversions is key to forming a successful digital marketing strategy. Once retailers have a basic understanding of how weather affects their online and offline sales, they can deploy weather responsive advertising to capitalize on weather-driven trends.

Last year Tradedoubler released data showing that during periods of sunny weather, online sales decreased. They reasoned that when the weather is nice, consumers are more likely to be outdoors, and less likely to shop online. The graph below shows the inverse relationship between sunshine hours and online sales. However, the data does not state what verticals they examined, or what locations the traffic was coming from.

More recently, the Japanese e-commerce company Rakuten, analyzed temperature and precipitation levels in order to understand the effect weather had on online sales in France. The study focused on 3 cities - Paris, Lyon and Marseille.

In this instance, we can surmise that Parisian customers are more accustomed to shopping in-store despite the level of precipitation (since they are more used to inclement weather). Customers in Lyon and Marseille - where the climate is better - are perhaps less tolerant of rain, and so choose to stay indoors on rainy days and shop online rather than in-store.

Rakuten also studied the effect that temperature had on their website revenue. The results were more nuanced this time. As the mercury dropped, the general trend was that an increased number of consumers stayed indoors to shop online. However, each city reacted slightly differently to temperature elevation vis-a-vis their purchase behaviour. This data again suggests that the impact of weather on on-line sales is geo-specific, and dependent on the weather patterns usually experienced within these locations, as well as attitudes and culture of those consumers. By doing location specific analysis such as this, marketers can then leverage these insights by running weather based advertising campaigns, automatically up-weighing bids to boost their paid search presence when weather driven demand is highest.

This relationship between weather and online retail sales was backed by e-retail industry body IMRG. In March 2014, they reported an 18% annual increase in e-retail (equating to 7.2bn) in the UK as a result of severe wet weather in February which significantly reduced high street sales.

Likewise, through real-time weather-responsive marketing, retail websites can leverage forecast information to anticipate periods of hot weather, reaching out to their audience to advise them to stock up on key products online before the weather arrives. By targeting consumers with relevant deals and promotions beforehand, online retailers can mitigating the negative impact good weather can have on their online sales, before it even hits them.

Our technology Time Machine, has allowed us to enhance data in the Historical Weather Collection: historical weather data is now available for any coordinates and the depth of historical data has been extended to 40 years.

Access current weather data for any location on Earth including over 200,000 cities! The data is frequently updated based on the global and local weather models, satellites, radars and a vast network of weather stations.

This product collects weather warnings from the major weather warning systems and presents them in a uniform and convenient data format. Push notification mechanism will allow to get timely notifications about severe weather.

Dashboard is a visual service where you can easily work with satellite imagery and weather data for your fields. It is the visual demonstration of the data we provide through our Agro API: New satellite imagery every 2-4 days Historical satellite data archive Vegetation indices and Historical NDVI chart Current, Forecast and Historical weather data Learn more

OpenWeather is a team of IT experts and data scientists that has been practising deep weather data science. For each point on the globe, OpenWeather provides historical, current and forecasted weather data via light-speed APIs. Headquarters in London, UK.

Looking at the USA Weather Watches and Warnings item details, we can learn that the layer is a live data feed from the National Weather Service containing official weather warnings, watches, and advisory statements for the United States. The layer is updated every five minutes using the Aggregated Live Feeds methodology. 2351a5e196