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Lowell Digisonde International, LLC SBIR Phase I Award, August 2020

A SBIR Phase I contract was awarded to Lowell Digisonde International, LLC in August, 2020 for $124,167.0 USD from the NASA.

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sbir.gov/node/1882653
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
‌
Lowell Digisonde International, LLC
0
Government Agency
NASA
NASA
0
Award Type
SBIR0
Contract Number (US Government)
80NSSC20C02890
Award Phase
Phase I0
Award Amount (USD)
124,1670
Date Awarded
August 6, 2020
0
End Date
March 1, 2021
0
Abstract

Direct measurements of the ionospheric electron density profiles with advanced Topside Ionospheric Sounders (TIS) on nanosatellites at ~800 km altitude are proposed. The TIS instrument design will be based on the Double-Probe amp;Topside-Ionosphere-Sounder (DPTIS) instrument design, previously developed by LDI for deployment on small satellites under Phases 1 and 2 AFRL-SBIR contracts (2016). The DPTIS design will be miniaturized adapting it to a CubeSat environment. Automatic processing of the measured vertical-incident topside ionograms, and calculation of the electron density profiles (EDP) from the height of the spacecraft to the F2 layer peak is proposed, including the height hmF2 and electron density NmF2 of the F2 layer peak. The inversion of the topside ionograms does not use any model assumptions. Automatic assimilation of the topside EDPs in existing ionospheric models, both physics-based and empirical, will facilitate the generation of realistic ionospheric weather models in near-real-time. The proposed assimilation technique adopts the method currently applied to the assimilation of ground-based NmF2/hmF2 measurements by the Global Ionospheric Radio Observatory (GIRO) into the ISO-standard for the ionosphere, the International Reference Ionosphere (IRI) model. Assimilating measured NmF2/hmF2 data from the proposed ldquo;CubeTISrdquo; will significantly increase the coverage over land and, most importantly, will extend this coverage over the oceans, by generate reliable nowcast of the realistic ionospheric plasma distribution over land and oceans, and short term forecasting. Global difference maps depicting the differences between quiet-time average NmF2/hmF2 model and realistic assimilative model predictions will provide the basis for the development of an Ionospheric Disturbance Index (IDI) as function of location and time.

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