PROVIDING METEOROLOGICAL INFORMATION

Brand Owner (click to sort) Address Description
ADFI AI ROBOTICS LTD. 1-1, Utsukushigaoka 2-chome, Aoba-ku, Yokohama-shi Kanagawa 225-0002 Japan Providing meteorological information; architectural design; surveying; geological surveys or research; computer software design, computer programming, or maintenance of computer software; technological advice relating to computers, automobiles and industrial machines; testing, inspection or research of pharmaceuticals, cosmetics or foodstuffs; research on building construction or city planning; testing or research on prevention of pollution; testing or research on electricity; testing or research on civil engineering; testing, inspection or research on agriculture, livestock breeding or fisheries; testing or research on machines, apparatus and instruments; rental of measuring apparatus; rental of computers; providing computer programs on data networks; rental of laboratory apparatus and instruments; rental of technical drawing instruments;
ALMNAC Null 1 Sansome Street, Suite 3500 San Francisco CA 94104 Providing meteorological information; Providing weather information; Weather information services; Hosting an on-line community web site featuring information on weather, climate and climatology; Providing scientific information in the field of climate change; Providing weather information via a website;
HEADLINE: EARTH ACCUWEATHER, INC. 385 Science Park Road State College PA 16803 PROVIDING METEOROLOGICAL INFORMATION; PROVIDING WEATHER INFORMATION; AND WEATHER REPORTING;
WXOPS WXOPS, INC. 28 SCHENCK PARKWAY, SUITE 200 ASHEVILLE NC 28803 Providing meteorological information;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. The amount of risk in weather derivatives is calculated properly by taking into account a correlation between weather observation sites and a correlation between meteorological elements. A weather prediction method by creating a weather scenario from historical weather data includes a first step of estimating parameters of a weather time-series model based on historical weather data including past plural meteorological elements, a meteorological element correlation between sites, and a correlation between meteorological elements, and a second step of converting random numbers into meteorological elements based on the estimated parameters. The second step is executed a given number of times to create a plurality of weather scenarios.