World Weather Online

World Weather Online World Weather Online is dedicated to providing global weather forecasts and weather API.

World Weather Online is dedicated to providing global weather forecast and weather content for websites, businesses and the travel industry. We have a passion for the weather, climate and the environment and want to share what we love with as many people as we can in a practical way. Whether you are looking for information on the latest ski conditions, marine conditions, holiday weather reports or day to day forecasts for towns and cities, we are continually working hard in order to provide you with accurate and up-to-date weather reports. Our sports weather forecasts show weather reports and predictions for weather conditions for cricket, football and golfing tournaments and matches worldwide. We aim to deliver accurate and up to date weather reports to users around the world whether they are looking for daily weather updates, surf reports, ski forecasts or just have a passing interest in the weather. Our weather blog and social media pages also feature information on seasonal phenomena, global warming discussions and articles on other interesting elements of the weather and climate. We cover approximately 3 million cities/towns worldwide and our weather forecast is trusted and used by a wide variety of companies and organisations from SME's to large corporate clients. That includes Intelligent Planet, Sonitus Systems, Skydive Mag, G&D Creations, Surfcast, Weathercare and many more. Many of these companies have joined our API community which has immense benefits such as free promotion to over one million visitors that we receive each month. We currently operate two high-tech weather data centres; one situated in Denmark and the other in Germany. We also have dedicated team members working in the UK, USA and India in order to make sure that our information stays as current as possible and delivers the best possible service to all our users. Our Weather API (http://developer.worldweatheronline.com) allows developers and programmers to access free 5 day weather content in a range of formats that include XML, CSV and JSON. You can use our Weather API to access weather data for any location as long as you have access to the city and town, postal or zipcode or by using latitude and longitude. We have developed our own weather forecasting model which delivers reliable and accurate weather information for any geo-point in the world. Our weather model is run along with other metrological models like European Centre for Medium-Range Weather Forecasts, World Meteorological Organization, NASA weather satellite imagery, NOAA GFS2 model and JMA model for research and training purposes and deliver the most accurate weather forecast possible. We can’t promise that we’ll be right every single time, but we’ll try our best not repeat the mistakes of Michael Fish by continuously improving our services, upgrading our technology and the prediction model we use in order to be as accurate as we possibly can. If you are looking for more advanced weather content for your website or your business please see our Weather service for our full range of services. Blog: http://blog.worldweatheronline.com
API: http://developer.worldweatheronline.com

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The post Serving Weather Tiles Over a Map: WWO + Leaflet in 30 Minutes appeared first on Weather Blog.

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The post Tide Times From the API: What the Numbers Actually Mean appeared first on Weather Blog.

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The post Serving Weather Tiles Over a Map: WWO + Leaflet in 30 Minutes appeared first on Weather Blog.

Build a Leaflet map that pulls live forecast data from the WWO API and overlays it as clickable weather markers — full working code included.

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ICYMI: Tying Weather Conditions to Hourly Timestamps in Python: WWO's tp parameter returns hourly slices in UTC. Here's how to align them correctly to local time without mangling your time series.

The post Tying Weather Conditions to Hourly Timestamps in Python appeared first on Weather Blog.

WWO's tp parameter returns hourly slices in UTC. Here's how to align them correctly to local time without mangling your time series.

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