A Bayesian model for quantifying errors in citizen science data: application to rainfall observations from Nepal
<p>High-quality citizen science data can be instrumental in advancing science toward new discoveries and a deeper understanding of under-observed phenomena. However, the error structure of citizen scientist (CS) data must be well-defined. Within a citizen science program, the errors in submitt...
Main Authors: | J. A. Eisma, G. Schoups, J. C. Davids, N. van de Giesen |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-10-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | https://hess.copernicus.org/articles/27/3565/2023/hess-27-3565-2023.pdf |
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