{"id":14469,"date":"2019-03-18T18:38:09","date_gmt":"2019-03-18T18:38:09","guid":{"rendered":"https:\/\/rsoftsolution.com\/blog\/climacell-bets-on-iot-for-better-weather-forecasts.html"},"modified":"2019-03-18T18:38:09","modified_gmt":"2019-03-18T18:38:09","slug":"climacell-bets-on-iot-for-better-weather-forecasts","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/climacell-bets-on-iot-for-better-weather-forecasts.html","title":{"rendered":"ClimaCell bets on IoT for better weather forecasts"},"content":{"rendered":"

To accurately forecast the weather, you first need lots of data \u2014 not just to train your forecasting models but also to generate more precise and granular forecasts. Typically, this has been the domain of government agencies, thanks to their access to this data and the compute power to run the extremely complex models. Anybody can now buy compute power in the cloud, though, and as the Boston and Tel Aviv-based startup ClimaCell<\/a> is setting out to prove, there are now also plenty of other ways to get climate data thanks to a variety of relatively non-traditional sensors that can help generate more precise local weather predictions.<\/p>\n

Now you may say that others, like Dark Sky<\/a>, for example, are already doing that with their hyperlocal forecasts. But ClimaCell\u2019s approach is very different, and with that has attracted as clients airlines like Delta, JetBlue and United, sports teams like the New England Patriots and agtech companies like Netafim.<\/p>\n

\u201cThe biggest problem is that to predict the weather, you need to have observations and you need to have models,\u201d ClimaCell <\/a> CEO Shimon Elkabetz told me. \u201cThe entire industry is basically repackaging the data and models of the government [agencies]. And the governments don\u2019t create the relevant infrastructure everywhere in the world. Even in the U.S., there\u2019s room for improvement.\u201d<\/p>\n

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And that\u2019s where ClimaCell\u2019s main innovation comes in. Instead of relying on government sensors, it\u2019s using the Internet of Things to gather more weather data from far more places than would otherwise be possible. This kind of sensing technology could turn millions of existing connected devices \u2014 like cell phones, connected vehicles, street cameras, airplanes and drones \u2014 into virtual weather stations. It\u2019s easy enough to see how this would work. If a driver turns on a windshield wiper or fog lights, you know it\u2019s probably raining or foggy. Often, these cars also relay temperature data. If a street camera sees rain, it\u2019s raining.<\/p>\n

What\u2019s more complex is that ClimaCell has also developed the technology to gather data from how atmospheric conditions impact the signal propagation between cell phones and their base stations. And to take this one step further \u2014 and beyond the ground level \u2014 it has also figured out how to gather similar data from satellite-to-ground microwave signals.<\/p>\n

\u201cThe idea is that everything is sensitive to weather and we can turn everything into a weather sensor,\u201d said Elkabetz. \u201cThat\u2019s why we call it the weather of things. It enables us to put in place virtual sensors everywhere.\u201d<\/p>\n

<\/p>\n

Using all this data, ClimaCell is providing its customers, like airlines, ridesharing companies and energy companies, with real-time weather data and forecasts.<\/p>\n

Using all of this data the company also recently<\/a> launched flood alerts for about 500 cities that can provide 24 to 48-hour warnings ahead of major flood events. To do this, the company combined its weather data with its own hydrological model.<\/p>\n

For now, most of ClimaCell\u2019s business model focuses on selling its data and predictions to other businesses. The company plans to launch a consumer app in May, though. I got a sneak peek of the app; while I can\u2019t vouch for the forecasts, it\u2019s a very well-designed application that you\u2019ll probably want to look at, no matter whether you\u2019re a weather geek or just want to see if you can get a quick bike ride in before the rain starts.<\/p>\n

Why a consumer app? \u201cWe want to become the biggest weather technology company in the world,\u201d Elkabetz said. To get to this point, the company has raised a total of $68 million to date from investors that include Clearvision Ventures, JetBlue Technology Ventures, Ford Smart Mobility,\u00a0 Envision Ventures, Canaan Partners, Fontinalis Partners and Square Peg Capital.<\/p>\n

<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/ndeDp6LWaZ4\/<\/p>","protected":false},"excerpt":{"rendered":"

To accurately forecast the weather, you first need lots of data \u2014 not just to train your forecasting models but also to generate more precise and granular forecasts. Typically, this <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-14469","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t