Novel Observing Strategies Testbed: A Lightweight, Collaborative Platform for Prototyping Earth Observing Missions

Abstract Distributed space mission concept development increasingly relies on collaborative, software-based testbeds, yet established distributed simulation standards and mission-operations frameworks impose overhead disproportionate to early-stage prototyping. Operating the first version of the Novel Observing Strategies Testbed exposed five systemic limitations---identity and authorization, reliable and persistent messaging, session resilience, schema governance, and coordinated scenario time control---that hindered long-duration, multi-institutional use. We evolved the testbed across two further versions to address them: Version 2 hardened the identity, messaging, session, and schema layers, and Version 3 added coordinated scenario time control through programmatic freeze, resume, and time-scale orchestration, while keeping the platform lightweight, cloud-native, and standards-aligned. Two independent Snow Observing Strategy campaigns, spanning 577 scenario days and closing the loop with an external land-surface model, validated the evolved architecture at technology readiness level 6. The campaigns delivered zero message loss, automated session recovery, sub-second coordinated freezes, and event-driven resume that eliminated idle waiting, and they coordinated a multi-sensor observation-selection workflow toward improving snow water equivalent estimation. The testbed thereby offers an accessible, standards-aligned platform for evaluating novel observing strategies before costly development, generalizable well beyond the snow domain.

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Publication Details

Journal
Research Square
Published
2026-11-04
DOI
https://doi.org/10.21203/rs.3.rs-11323528/v1
Primary Topic
Environmental Monitoring and Data Management
Type
preprint
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preprint

Novel Observing Strategies Testbed: A Lightweight, Collaborative Platform for Prototyping Earth Observing Missions

Emmanuel Miguel Gonzalez, Melissa L. Wrzesien, Carrie M. Vuyovich, Paul T. Grogan et al.
Research Square
Environmental Monitoring and Data Management
preprint

Novel Observing Strategies Testbed: A Lightweight, Collaborative Platform for Prototyping Earth Observing Missions

Emmanuel Miguel Gonzalez, Melissa L. Wrzesien, Carrie M. Vuyovich, Paul T. Grogan, Divya Ramachandran, Hadis Banafsheh, Sujay V. Kumar
preprint en

Abstract

Abstract Distributed space mission concept development increasingly relies on collaborative, software-based testbeds, yet established distributed simulation standards and mission-operations frameworks impose overhead disproportionate to early-stage prototyping. Operating the first version of the Novel Observing Strategies Testbed exposed five systemic limitations---identity and authorization, reliable and persistent messaging, session resilience, schema governance, and coordinated scenario time control---that hindered long-duration, multi-institutional use. We evolved the testbed across two further versions to address them: Version 2 hardened the identity, messaging, session, and schema layers, and Version 3 added coordinated scenario time control through programmatic freeze, resume, and time-scale orchestration, while keeping the platform lightweight, cloud-native, and standards-aligned. Two independent Snow Observing Strategy campaigns, spanning 577 scenario days and closing the loop with an external land-surface model, validated the evolved architecture at technology readiness level 6. The campaigns delivered zero message loss, automated session recovery, sub-second coordinated freezes, and event-driven resume that eliminated idle waiting, and they coordinated a multi-sensor observation-selection workflow toward improving snow water equivalent estimation. The testbed thereby offers an accessible, standards-aligned platform for evaluating novel observing strategies before costly development, generalizable well beyond the snow domain.

Research Square
Goddard Space Flight Center (US), Arizona State University (US), University of Maryland, College Park (US)
Environmental Monitoring and Data Management
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