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March 22nd, 2019
Orbital Micro Systems Hosts Inaugural Weather Intelligence Forum at InterMET Asia 2019

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Oxfordshire, England – Orbital Micro Systems (OMS), a leader in advanced instrumentation for small satellite missions and analytic-ready earth data intelligence platforms, will host the first Weather Intelligence Forum at InterMET Asia 2019, the world’s premier weather, flood, and air quality conference. InterMET Asia is taking place March 26 through 29, 2019 at the SunTec Convention Center in Singapore. The Weather Intelligence Forum will be presented March 28, 2019 as part of Asia Climate Week and InterMET Asia. The program brings together experts in the management, processing, and interpretation of weather data collected by satellites, terrestrial and airborne systems, and other sources, to discuss the current and near-term challenges facing weather information users such as MET offices, and industries including agriculture, insurance and reinsurance, aviation, and maritime transport.

“OMS is one of many commercial enterprises launching satellites to gather earth observation data in greater volumes and lower latencies,” said William Hosack, chief executive officer at OMS. “These companies will be adding vast amounts of data to large government-operated platform datasets, and we expect this influx of raw data entering the ecosystem will overwhelm the traditional data processing systems utilized today. The Weather Intelligence Forum is designed to bring the realities of ‘data overload’ to the forefront by involving data users and producers to build awareness and offer solutions to all participants in the ecosystem. InterMET Asia is the perfect venue for this discussion, since it attracts participants from every continent, as well as from MET offices in areas that have had limited satellite-based data and stand to benefit the most from the data generated by these new commercial satellite platforms.”

In addition to participating in the Weather Intelligence Forum, Hosack will also deliver a plenary session address at InterMET Asia on Wednesday, March 27, at 11:30 a.m. In his remarks, he will discuss the challenges facing urban and regional entities in obtaining weather information with sufficient detail and temporal frequency to make timely and informed decisions regarding weather impacts.

“Getting to the necessary level of detail is one challenge, but the bigger one will be managing the huge volume of raw data and quickly extracting useful and relevant information,” he said. “Without this imperative, the information will likely remain unseen long after the weather event has done its damage.”

OMS has established the International Center for Earth Data (ICED) in Edinburgh, Scotland to create an easily accessible marketplace for earth observation data which offers analytics-ready data on demand or via subscription – often within 15 minutes of collection. In addition, OMS is building a constellation of some 48 low-earth orbit satellites equipped with miniaturized passive microwave radiometers to gather temperature, precipitation, and moisture data at up to eight altitudes.

OMS is also participating in the launch of its first Global Environmental Monitoring System (GEMS) satellite April 17, 2019 from Wallops Island, Virginia. When a full complement of GEMS satellites are in orbit, the constellation will provide global weather observations at 15-minute intervals.

To register to attend the free Weather Intelligence Forum at InterMET Asia 2019, please visit https://intermet19.reg.buzz/oms.

For more information about Orbital Micro Systems please visit www.orbitalmicro.com.

About Orbital Micro Systems 

Orbital Micro Systems (OMS) specializes in the development and delivery of technology and data for space applications. With broad expertise in applied science, weather science and earth observation, instrumentation development, data science, space operations, and program delivery, OMS is positioned to deliver innovation to many areas of the aerospace sector. For more information about OMS, please visit www.orbitalmicro.com

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