Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Abstract Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across scientific fields hinders effective communication. As a microcosm of diverse fields within Earth Science, NASA’s Carbon Monitoring System (CMS) provides a useful crucible in which to identify cross-cutting concepts of uncertainty. The CMS convened the Uncertainty Working Group (UWG), a group of specialists across disciplines, to evaluate and synthesize efforts to characterize uncertainty in CMS projects. This paper represents efforts by the UWG to build a heuristic framework designed to evaluate data products and communicate uncertainty to both scientific and non-scientific end users. We consider four pillars of uncertainty: origins, severity, stochasticity versus incomplete knowledge, and spatial and temporal autocorrelation. Using a common vocabulary and a generalized workflow, the framework introduces a graphical heuristic accompanied by a narrative, exemplified through contrasting case studies. Envisioned as a versatile tool, this framework provides clarity in reporting uncertainty, guiding users and tempering expectations. Beyond CMS, it stands as a simple yet powerful means to communicate uncertainty across diverse scientific communities.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2024-10-28
DOI
https://doi.org/10.1088/1748-9326/ad8be0
Citations
4
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
1.13

Funders

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

Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Mark A. Cochrane, Hans‐Erik Andersen, Sha Feng, K. J. Davis et al.
4 citations
Environmental Research Letters
Atmospheric and Environmental Gas Dynamics
1.13
article

Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Mark A. Cochrane, Hans‐Erik Andersen, Sha Feng, K. J. Davis, Robert E. Kennedy, E. Sepulveda Carlo, D. F. Baker, Paul L. Patterson, Rodrigo Vargas, Michael C. Dietze, Brett Raczka, Shawn Paul Serbin, Andrew Thomas Hudak, Chad Babcock, Laura Duncanson, Molly E. Brown, Junjie Liu
article en
4 citations

Abstract

Abstract Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across scientific fields hinders effective communication. As a microcosm of diverse fields within Earth Science, NASA’s Carbon Monitoring System (CMS) provides a useful crucible in which to identify cross-cutting concepts of uncertainty. The CMS convened the Uncertainty Working Group (UWG), a group of specialists across disciplines, to evaluate and synthesize efforts to characterize uncertainty in CMS projects. This paper represents efforts by the UWG to build a heuristic framework designed to evaluate data products and communicate uncertainty to both scientific and non-scientific end users. We consider four pillars of uncertainty: origins, severity, stochasticity versus incomplete knowledge, and spatial and temporal autocorrelation. Using a common vocabulary and a generalized workflow, the framework introduces a graphical heuristic accompanied by a narrative, exemplified through contrasting case studies. Envisioned as a versatile tool, this framework provides clarity in reporting uncertainty, guiding users and tempering expectations. Beyond CMS, it stands as a simple yet powerful means to communicate uncertainty across diverse scientific communities.

Environmental Research LettersVol. 19(12)
NSF National Center for Atmospheric Research (US), Boston University (US), University of Minnesota (US), Goddard Space Flight Center (US), Pennsylvania State University (US), Oregon State University (US), Jet Propulsion Laboratory (US), Pacific Northwest National Laboratory (US), University of Maryland Center for Environmental Science (US), Pacific Northwest Research Station (US), Rocky Mountain Research Station (US), University of Maryland, College Park (US), University of Delaware (US), Colorado State University (US)
Earth Sciences Division, Division of Environmental Biology
Openalex Percentile: Top 23%
Atmospheric and Environmental Gas Dynamics
1.13
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.