Lemur-2 Spacecraft - Nanosats Database

Satellite name	Lemur-2 HyMS Demonstrator (Lemur-2 Kutar)
Type	CubeSat
Units or mass	16U
Status	not launched, expected in 2026
Launcher	Falcon 9, (Twilight/Pandora)
Organization	Spire
Institution	Company
Entity type	Commercial
Nation (HQ)	US
Nation (AIT)	UK
Oneliner	Hyperspectral microwave sensing (HyMS).
Description	The mission includes the Company's Hyperspectral Microwave Sounder (HyMS) satellite demonstrator, a compact, space-ready sensor built to advance global weather forecasting from space. Developed in collaboration with the UK Science and Technology Facilities Council’s RAL Space and STAR-Dundee Ltd., HyMS is designed to capture detailed internal views of the Earth’s atmosphere, measuring important atmospheric variables including temperature, humidity, and precipitation. As a first-of-its-kind hyperspectral microwave mission, it will aim to help forecasters better understand how weather systems form and evolve in real time. “HyMS marks a meaningful step in expanding how we observe Earth’s atmosphere from space,” said Theresa Condor, Chief Executive Officer of Spire Global. “Two of the most impactful sources of data for improving forecast accuracy are radio occultation and microwave observations, areas where Spire is uniquely positioned to lead. This mission is a critical milestone on that path to delivering deeper atmospheric insights from space.” In addition to the HyMS demonstrator, the Falcon 9 Twilight launch will include seven Spire-built satellites for customers and one constellation replenishment satellite supporting the Company’s operational data missions. All the satellites were designed, built, and tested by Spire’s teams in Glasgow, Scotland. OHMS-Sat (Operational Hyperspectral Microwave Sounder-Satellite): £3.5 million Led by Spire Global in partnership with STAR-Dundee, the Met Office and STFC RAL Space. This project will build on the prior developments of the Hyperspectral Microwave Sounder (HYMS) to accelerate it towards an operational mission to supply weather forecasting data to global numerical weather prediction (NWP) centres and create unique weather products.
Sources	[1] [2]
Photo sources	[1]
Keywords	AIS, ADS-B

Last modified: 2026-01-09