Understanding the Various Perspectives of Earth Science Observational Data Uncertainty
david f. moroni
Hampapuram Ramapriyan
Ge Peng
Jonathan Hobbs
Justin Goldstein
Robert Downs
Robert Wolfe
Chung-Lin Shie
Christopher J Merchant
Mark Bourassa
Jessica L. Matthews
Peter Cornillon
Lucy Bastin
Kenneth Kehoe
Benjamin Smith
Jeffery L. Privette
Aneesh C. Subramanian
Otis Brown
Ivana Ivanova
10.6084/m9.figshare.10271450.v1
https://esip.figshare.com/articles/report/Understanding_the_Various_Perspectives_of_Earth_Science_Observational_Data_Uncertainty/10271450
Information about the uncertainty associated with Earth science observational data is fundamental to use, re-use, and overall evaluation of the data being used to produce science and support decision making. The associated uncertainty information leads to a quantifiable level of confidence in both the data and the science informing decisions produced using the data. The current breadth and cross-domain depth of understanding and application of uncertainty information, however, are still evolving as the practices associated with quantifying and characterizing uncertainty across various types of Earth observation data are diverse. Since its re-establishment in 2015, the Information Quality Cluster (IQC) of the Earth Science Information Partners (ESIP) has convened numerous sessions within the auspices of ESIP and the American Geophysical Union (AGU) to help collect expert-level information focusing on key aspects of uncertainty of Earth science data and addressed key concerns such as: 1) how uncertainty is quantified (UQ) and characterized (UC), 2) understanding the strengths and limitations of common techniques used in producing and evaluating uncertainty information, 3) implications using uncertainty information as a quality indicator 4) impacts of uncertainty on data fusion/assimilation, 5) various methods for documenting and conveying the uncertainty information to data users, and 6) understanding why certain user communities care about uncertainty and others do not. A key recommendation and action item from the ESIP Summer Meeting 2017 was for the IQC to develop a white paper to establish a clearer understanding of the concept of uncertainty and its communication to data users. The information gathered for this white paper has been provided by Earth science data and informatics experts spanning diverse disciplines and observation systems in the cross-domain Earth sciences. The intention of this white paper is to provide a diversely sampled exposition of both prolific and unique policies and practices, applicable in an international context of diverse policies and working groups, made toward quantifying, characterizing, communicating and making use of uncertainty information throughout the diverse, cross-disciplinary Earth science data landscape. <br>
2019-11-08 21:51:27
Data Uncertainty
Uncertainty Quantification
Uncertainty Characterization
Earth Science
Earth Science Information Partners
Information Quality Cluster
Remote Sensing
Observation
In Situ
Calibration
Validation
Probability
Science Quality
Data Quality
Metrology
Atmospheric Sciences
Climate Science
Earth Sciences not elsewhere classified
Geophysics
Oceanography
Computation Theory and Mathematics
Information Engineering and Theory
Information and Computing Sciences not elsewhere classified
Markup Languages
Numerical Computation
Applied Physics
Computational Physics
Physical Sciences not elsewhere classified
Applied Statistics
Applied Mathematics not elsewhere classified
Numerical Analysis
Probability
Probability Theory
Statistical Theory
Statistics
Statistics not elsewhere classified
Atmospheric Sciences not elsewhere classified
Environmental Science
Environmental Science and Management not elsewhere classified
Environmental Sciences not elsewhere classified
Geochemistry not elsewhere classified
Geology not elsewhere classified
Geodynamics
Geophysics not elsewhere classified
Hydrology
Meteorology
Oceanography not elsewhere classified
Physical Geography
Physical Geography and Environmental Geoscience not elsewhere classified
Physical Oceanography
Solid Earth Sciences