Tag: weather data

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...

Personal Weather Station on Hill
April 9

Bring Your Weather to Life with the new PWSweather.com

At AerisWeather, we crank out code to help businesses around the globe harness the power of weather. We’re also weather hobbyists, meteorologists, and hardware enthusiasts. This underlying passion for our work led to the creation of PWSweather, an online platform that allows users to collect, manage, and share their personal weather station data. While many of you reading this are already familiar with the previous iteration, we are excited to share that PWSweather has received a significant face-lift. Welcome to the new PWSweather.com. For the uninitiated, PWSweather.com provides the ability for personal weather station owners to analyze, visualize, and manage...

COVID-19 Map Module
March 19

Utilizing the COVID-19 Map Module within the AerisWeather JavaScript SDK

COVID-19 (Novel Coronavirus) is a global pandemic currently affecting millions of people and nearly every economy worldwide. It’s often challenging for people to grasp the severity and full breadth of these types of situations just by giving them a series of numbers from the data. Data visualizations, such as maps and charts, drastically improve the understanding of data and its impacts compared to providing people with just the data. Knowing this, we have created a COVID-19 map module that combines data from John Hopkins with our own JavaScript SDK. The COVID-19 Map Module The COVID-19 module is a map module that utilizes our...

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...

January 8

Visualizing Weather Data and Imagery with Unity 3D & VFX Graph

We are excited to share this unique use-case with weather data. All development and instructional credit goes to Baran Kahyaoglu. Follow along with his original blog here. At AerisWeather, we’re constantly monitoring our social feeds to see what kind of unique and cool weather data applications our fans and customers are coming up with. One in particular caught our eye when Baran Kahyaoglu of MapBox shared this tweet: Live cloud forecast from @AerisWeather, elevation and satellite imagery from @Mapbox, visualized in @unity3d.#gamedev #madewithunity #indiedev #map #vfx #unity3d #datavisualization pic.twitter.com/nqHsGRBrZl — Baran Kahyaoglu (@brnkhy) November 5, 2019 Originally intended for a...

Suitcase laying on bed open and packed
December 9

Use Weather Forecast Data to Place Google Ads

In our most recent post, we discussed the ability to use our weather API to instruct Google Ads to make campaign changes based around the current weather of your target audience. Given that digital advertising based off of current weather conditions in an area provides only one piece of the weather-triggered ads puzzle, we’re excited to share a similar tutorial to make Google ad campaign logic decisions based off of weather forecast data as well. Imagine the possibility of selling ice melt, umbrellas, or beach towels when forecast weather conditions tempt consumers the most. Similar to before, there’s some minimal...

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...

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...