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.
Authors
- Emmanuel Miguel Gonzalez (ORCID: https://orcid.org/0000-0002-3021-9842)
- Melissa L. Wrzesien (ORCID: https://orcid.org/0000-0003-4958-9234)
- Carrie M. Vuyovich (ORCID: https://orcid.org/0009-0001-5671-0568)
- Paul T. Grogan (ORCID: https://orcid.org/0000-0001-8986-4806)
- Divya Ramachandran
- Hadis Banafsheh
- Sujay V. Kumar
Institutions
- Goddard Space Flight Center (US)
- Arizona State University (US)
- University of Maryland, College Park (US)
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