A Metrological Framework for Addressing Uncertainty in Satellite and In Situ Earth Environmental Observations

Environmental sciences are supported by multi-decadal observations from instruments on land, in the oceans, in the air, and from space. For such observations to have sufficient quality to underpin decisions, they need the long-term stability and global equivalence achieved through traceability to an internationally agreed reference, preferably the international system of units, the SI. Such traceability is achieved through metrological principles of linking measurements through an unbroken chain of comparisons to suitable references, with rigorous uncertainty analysis following internationally accepted approaches, and validated through comparisons with independent approaches at key steps of the chain. Increasingly, communities responsible for coordinating observational networks and transforming their data into products and services, whether from satellites or other platforms, are calling for metrological principles to be applied across the entire value chain. However, it is not always straightforward to apply these principles to observations of the Earth’s environmental system. This paper discusses what these metrological principles are, how they differ from other approaches in use in the observational sciences, and how the modern, evolving metrological guides can be used by those observational communities, to meet the challenging requirements of climate-quality observations and the data products derived from them.

Authors

Institutions

Publication Details

Journal
Surveys in Geophysics
Published
2025-11-24
DOI
https://doi.org/10.1007/s10712-025-09916-5
Citations
3
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
2.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Metrological Framework for Addressing Uncertainty in Satellite and In Situ Earth Environmental Observations

Samuel E. Hunt, Emma Woolliams, M G Cox, Pieter De Vis et al.
3 citations
Surveys in Geophysics
Soil Moisture and Remote Sensing
2.40
article

A Metrological Framework for Addressing Uncertainty in Satellite and In Situ Earth Environmental Observations

Samuel E. Hunt, Emma Woolliams, M G Cox, Pieter De Vis, Bernardo Mota, Alison Cobb, Xavier Loizeau, Jonathan P. D. Mittaz, Tom Gardiner, Paul Green, Rod Robinson
article en
3 citations

Abstract

Environmental sciences are supported by multi-decadal observations from instruments on land, in the oceans, in the air, and from space. For such observations to have sufficient quality to underpin decisions, they need the long-term stability and global equivalence achieved through traceability to an internationally agreed reference, preferably the international system of units, the SI. Such traceability is achieved through metrological principles of linking measurements through an unbroken chain of comparisons to suitable references, with rigorous uncertainty analysis following internationally accepted approaches, and validated through comparisons with independent approaches at key steps of the chain. Increasingly, communities responsible for coordinating observational networks and transforming their data into products and services, whether from satellites or other platforms, are calling for metrological principles to be applied across the entire value chain. However, it is not always straightforward to apply these principles to observations of the Earth’s environmental system. This paper discusses what these metrological principles are, how they differ from other approaches in use in the observational sciences, and how the modern, evolving metrological guides can be used by those observational communities, to meet the challenging requirements of climate-quality observations and the data products derived from them.

Surveys in Geophysics
National Physical Laboratory (GB), University of Reading (GB)
Government of the United Kingdom
Openalex Percentile: Top 11%
Soil Moisture and Remote Sensing
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.