To the brave scientists: Aren't we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling?
Abstract The current handling of data in earth observation, modelling and prediction measures gives cause for critical consideration, since we all too often carelessly ignore data uncertainty. We think that Earth scientists are generally aware of the importance of linking data to quantitative uncert...
Main Authors: | Hendrik Paasche, Matthias Gross, Jakob Lüttgau, David S. Greenberg, Tobias Weigel |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-11-01
|
Series: | Geoscience Data Journal |
Subjects: | |
Online Access: | https://doi.org/10.1002/gdj3.132 |
Similar Items
-
Computation of a probabilistic uranium concentration map of Norway: A digital expert elicitation approach employing random forests and artificial neural networks
by: Hendrik Paasche, et al.
Published: (2023-11-01) -
Bayesian Reasoning with Trained Neural Networks
by: Jakob Knollmüller, et al.
Published: (2021-05-01) -
Towards determining uncertainties in global oceanic mean values of heat, salt, and surface elevation
by: Carl Wunsch
Published: (2018-01-01) -
Disinfection scheduling in water distribution networks considering input time-delay uncertainty
by: Stelios G. Vrachimis, et al.
Published: (2024-02-01) -
Framework for Estimating Performance and Associated Uncertainty for Modified Aircraft Configurations
by: Casey L. Denham, et al.
Published: (2022-09-01)