Tag: weather api

April 30

The Ease of Migrating from the Dark Sky API to AerisWeather

Dark Sky, an esteemed competitor, has been acquired by Apple. As part of the acquisition announcement, new API customer signups have been halted and the API service has been set on a path towards end-of-life. Throughout our competitive years, we have learned from one another and are proud to announce our efforts to assist the Dark Sky API community in finding a new home. The AerisWeather API is a comprehensive service that exceeds the bar set by Dark Sky and is built to support AerisWeather’s strong enterprise customer base. Let’s review! Conditions AerisWeather provides current condition data via two unique...

coronavirus map
March 16

Special Statement: Supporting Coronavirus (COVID-19) Research

Along with everyone, the Team at AerisWeather is aware of and concerned with the latest developments with the Coronavirus (COVID-19) outbreak. This global pandemic has been sparking fear and curiosity all around the globe with nearly 140,000 confirmed Coronavirus cases at time of this announcement. While certain groups are more at-risk, this virus does not discriminate and has created a serious public health crisis across much of the planet. While it is yet unknown if environmental conditions affect the transmission of this virus, it is well-documented that many viruses like the common cold and seasonal influenza tend to thrive and...

February 27

Announcing Improvements to the AerisWeather Mapping Platform (AMP)

This week we are excited to announce new updates and features for AMP – our AerisWeather Mapping Platform. Japan Radar Expansion Within the AerisWeather Mapping Platform, radar is consistently the most popular layer in our customer applications.  With this knowledge in mind, we are continuing to invest resources into improving its accuracy and coverage.  Today, we are excited to announce we have expanded radar imagery coverage to include Japan. The radar information will update every 15 minutes and is available as part of our standard radar layer, thus immediately available to all AMP subscribers.  Check out this example below and add...

January 21

Machine Learning Applications Utilizing Weather Data

Artificial intelligence (AI) and its subsets, machine learning (ML)  and deep learning (DL) are grabbing all the headlines these days.  From basic job replacement to a possible robot uprising, reporters, influencers & futurists are waxing poetically about the benefits (and threats) future generations will experience due to advances in these technologies.   AI/ML/DL Hierarchies While the Team at AerisWeather follows those storylines along with everyone else in the technology world, we’re also fortunate enough to have a front row seat to some of the CURRENT applications of these exciting toolsets.  Today, we work with a broad array of engineers, software...

Hand holding phone showing digital ads
November 13

AerisWeather How-To: Weather-Triggered Ads in Google Search and Display

In today’s competitive digital marketing environment, targeting has become more strategic and focused than ever across paid channels. Companies are switching to dynamic advertising triggers to minimize waste and deliver when demand for their products and services are at their peak. In many businesses, one of the largest drivers of demand is current weather conditions. From showing low fares for flights to sunny destinations in the dead of winter to SKUs for rain protection gear at a major retailer during a heavy downpour, AerisWeather has experience in helping companies optimize their advertising activity for any conditions Mother Nature may throw...

Home with lots of glass and perfect lawn
November 5

Smart Home Weather Integrations: Open Source Or Native?

Internet of Things (IoT) products have revolutionized the way humans interact with their environment, from smart cities taking action against poor air quality by adjusting stop lights and getting cars moving, to residential smart homes automating just about any connected device or appliance in its reach. Consumers around the world aren’t just integrating smart lighting and thermostat systems, but fully connected hub systems that manage irrigation, security, and energy consumption for the smart home. These devices programmatically execute tasks in response to event triggers, with some of the most common triggers utilizing 3rd party contextual data, such as current and...

Packing a very full suitcase
October 24

Use the AerisWeather JavaScript SDK’s NPM Module to Build a Travel Buddy

The AerisWeather Javascript SDK can solve weather-based problems all while steering clear of the troublesome tasks that go into styling a web page. This can be done using the SDK’s module which can be installed from the Yarn or NPM ecosystem. This tutorial will outline the steps required to use the JavaScript SDK’s NPM module and build a Travel Buddy along the way. What is Travel Buddy? Travel Buddy will help users understand what temperatures to expect during their next trip. By passing the location and date of travel, the application will query our API and provide some pertinent details that will prepare...

September 16

Fueling Healthcare Research with Weather Data

Advances in machine learning and patient-specific real-time data are leading to discoveries and correlations never before thought possible with human analysis. Physicians can now study the complex correlations between patient health issues and a nearly infinite list of environmental data that cause or exacerbate a patient’s condition. With these correlations identified, physicians and patients alike have the opportunity to forecast external triggers and mitigate the effects before they present themselves. With increasing frequency, researchers are turning to hyper-localized environmental condition datasets to tell the story of external impacts.  In addition to traditional weather conditions such as temperature, wind and barometric...

Car Rental Sign
July 23

A Revolution in Car Rental: Maximizing Revenue & Yield with Weather Data

Have you ever shown up to a car rental counter only to find the lights off and a sign stating “no cars available”? The chances are good considering that revenue management for car rental companies has been referenced as being more difficult than nuclear physics.  A $100 billion global industry with a >20% no-show rate, rental car companies are beginning to utilize artificial intelligence to minimize oversell situations and maximize revenue on rapidly depreciating assets. An existing (and oversimplified) view of factors considered by mainstream rental agencies in vehicle pricing, positioning, and segmenting. External Pressures Fuel Industry Challenges From rideshare...

August 28

Hurricane API now Available in the AerisWeather API

Tropical season has started off busy, at least in the Pacific basin, with Category 4 Hurricane Hector, Category 5 Hurricane Lane, and Super Typhoon Maria. The peak of the Atlantic and East Pacific tropical seasons are only a couple weeks away, so we are excited to announce the release of tropical cyclone support within the AerisWeather API.   The new tropical cyclone endpoints create a great hurricane API that includes global tropical cyclone information within both the AerisWeather API and our AerisWeather Mapping Platform (AMP). This blog will be part of a series of entries discussing hurricanes, typhoons, tropical storms and...