Cited by 25Climate variability and modelsMeteorological Phenomena and SimulationsOceanographic and Atmospheric Processes

Uncertainty propagation in observational references to climate model scales

Open access
Bellprat, Omar, Massonnet, François, Siegert, Stefan, Prodhomme, Chloé, Macias-Gómez, Daniel, Guemas, Virginie, Doblas-Reyes, Francisco·2017·Remote Sensing of Environment

Integrity signals

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Crossref · 10.1016/j.rse.2017.06.034

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  • A precursor version of SST CCI data has been used to evaluate biases between instrumentally homogeneous observational datasets and to propagate observational uncertainty to scales required in model evaluation.

    “Users of a precursor version of SST CCI data have demonstrated its use for evaluating biases between different instrumentally homogenous observational datasets60 and for propagating observational uncertainty to scales required in model evaluation61.”

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References 42 · Cited by 25

Authors
Bellprat, O., Massonnet, F., Siegert, S., Prodhomme, C., Macias-Gómez, D., Guemas, V., & Doblas-Reyes, F.
Affiliations
  • Barcelona Supercomputing Center (ES)
  • University of Exeter (GB)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
Corresponding author
Bellprat, Omar
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
2017-12
Volume
203
Pages
101-108
ISSN
0034-4257 (ISSN-L)
OpenAlex
W2734824767
Cited by
25
References
42
Citations by year
2026: 2 · 2025: 4 · 2024: 1 · 2023: 3 · 2021: 1 · 2020: 4 · 2019: 5 · 2018: 5
FWCI
2.65
Type
journal article
Language
en
Open access
Locations
  • Remote Sensing of Environment (publishedVersion)
  • Open Research Exeter (University of Exeter) (acceptedVersion, cc-by-nc-nd)
  • Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
  • Figshare (submittedVersion)
Funders
  • EU Seventh Framework Programme (GA 308378, GA 607085)
  • European Space Agency Living Planet Fellowship Programme
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Keywords
error propagation, observational uncertainty, model-data comparison, sea surface temperature, seasonal forecast skill

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