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Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands (MISO)

Project details

Website: https://miso.nilu.no/

Status: Ongoing

Project period: 2023–2026

Principal: EU – Horizon Europe (EC/HEU)

Coordinating institution: NILU

Collaborators: Alfred-Wegener-Institut Für Polar-und Meeresforschung, Azur drones, Consiglio Nazionale delle Ricerche, SENSEAIR AB, Tegnology APS, The Queen's University of Belfast, UiT The Arctic University of Norway

Climate warming is driven by increased concentrations of greenhouse gasses (GHGs) e.g., CO2 and CH4, in the atmosphere. Existing observatories are able to capture GHG information for large-scale global assessments, but short-term natural variability and climate-driven changes in atmospheric CO2 and CH4 remain less known. There is also currently a lack of sufficiently precise, autonomous, and cost-efficient GHG sensors for GHG monitoring at sufficient spatial scale, and in hard-to-reach areas.

MISO will develop and demonstrate an autonomous in-situ observation platform for use in hard to reach areas (Arctic, wetlands), for detecting and quantifying carbon dioxide and methane gasses, using a combination of stationary and mobile (drone) solutions and requiring minimum on-site intervention when deployed.

To achieve this objective, MISO will improve detection limit and accuracy of a NDIR GHG sensor, which will then be used in three observing platforms (a static tower, a static chamber and a UAV-mounted sensor) operated with the help of a central base unit. All elements will be designed for operation in harsh environments and with minimum human intervention. The static observatories will be powered by a unique geothermal device.

Communication between the three observatories and a data cloud will use a combination of P2P, G4/G5/LTE, LORAWAN and wifi technologies. The specifications of the platform will be co-developed with stakeholders from academia, monitoring and measurement systems, industry and policy.

A clear DCE strategy and focus on short-term impact management and medium and long-term commercialization will target several user groups including industries and representatives of main monitoring systems and infrastructures (e.g., ICOS). This will support innovative governance models and science-based policy design, implementation and monitoring. Sustainability performance and competitiveness in the domains covered by HE Cluster 6 will be enhanced.

Project DOI: https://doi.org/10.3030/101086541

Updated: 02.11.2022

Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands has 2 publications at NILU:

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Phuong Hoai


Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas

Naz, Fareena; McCann, Conor; Fadim, Muhammad; Cao, Tuan-Vu; Hunter, Ruth; Nguyen, Trung Viet; Nguyen, Long D.; Duong, Trung Q.