About - WXTiles

About WXTiles

How does it work?

WXTiles transforms complex weather data into tiled data formats which can be easily consumed through our easy to use API. Our service enables you to quickly and easily integrate our weather data into your own applications.

By removing the complexity of managing and rendering large weather datasets, we leave you free to focus on building beautiful and interactive applications which have weather based functionality.

Hyper local weather data

Weather strikes at all scales, from large storms to local rain clouds. What matters to you or your business is the local weather. We provide premium data layers that deliver up to the minute high resolution information about current and future weather for your location. Our forecasts are based on in-house state-of-the-art atmospheric and oceanographic forecast models. Data is sourced from international agencies and from our own customised modelling system, run by our own team of experts. We provide you with detailed, reliable weather information for any location of choice.

We understand weather

MetOcean Solutions is a New Zealand based company of passionate meteorologists and oceanographers. We create enabling technologies that bring complex environmental data into real world applications.

Our team includes a multi-disciplinary group of PhD scientists and technical experts. Our unique combination of strong science and technical skills allows us to innovate and push the boundaries in our quest to provide you with exactly the marine weather information you need, for anywhere on Earth. MetOcean Solutions is partnered with MetService, the New Zealand state-owned weather forecasting service provider.

What can you do with WXTiles?

Add weather overlays to you existing maps

Quickly and easily add panning and zooming weather overlays to existing maps. Our API follows the same conventions as all the major mapping platforms such as Google Maps and MapBox.

Create weather alerts in your apps

Use the vector tiles to create tests for weather thresholds. For example you may want to warn your users if rain is expected at their location. Using a simple point in polygon test is all you need to add.