Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields Article Swipe
Mikhail Sofiev
,
Jeroen Buters
,
Fiona Tummon
,
Yalda Fatahi
,
Olga Sozinova
,
Beverley Adams‐Groom
,
Karl‐Christian Bergmann
,
Åslög Dahl
,
Regula Gehrig
,
Stefan Gilge
,
Andrea Kofol Seliger
,
Rostislav Kouznetsov
,
Gian-Duri Lieberherr
,
David J. O’Connor
,
José Oteros
,
Yuliia Palamarchuk
,
Helena Ribeiro
,
Barbora Werchan
,
Matthias Werchan
,
Bernard Clot
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.scitotenv.2023.165800
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.scitotenv.2023.165800
We consider several approaches to a design of a regional-to-continent-scale automatic pollen monitoring network in Europe. Practical challenges related to the arrangement of such a network limit the range of possible solutions. A hierarchical network is discussed, highlighting the necessity of a few reference sites that follow an extended observations protocol and have corresponding capabilities. Several theoretically rigorous approaches to a network design have been developed so far. However, before starting the process, a network purpose, a criterion of its performance, and a concept of the data usage should be formalized. For atmospheric composition monitoring, developments follow one of the two concepts: a network for direct representation of concentration fields and a network for model-based data assimilation, inverse problem solution, and forecasting. The current paper demonstrates the first approach, whereas the inverse problems are considered in a follow-up paper. We discuss the approaches for the network design from theoretical and practical standpoints, formulate criteria for the network optimality, and consider practical constraints for an automatic pollen network. An application of the methodology is demonstrated for a prominent example of Germany's pollen monitoring network. The multi-step method includes (i) the network representativeness and (ii) redundancy evaluation followed by (iii) fidelity evaluation and improvement using synthetic data.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.scitotenv.2023.165800
- https://ars.els-cdn.com/content/image/1-s2.0-S0048969723044236-ga1_lrg.jpg
- OA Status
- hybrid
- Cited By
- 8
- References
- 93
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385856777
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385856777Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.scitotenv.2023.165800Digital Object Identifier
- Title
-
Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fieldsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-16Full publication date if available
- Authors
-
Mikhail Sofiev, Jeroen Buters, Fiona Tummon, Yalda Fatahi, Olga Sozinova, Beverley Adams‐Groom, Karl‐Christian Bergmann, Åslög Dahl, Regula Gehrig, Stefan Gilge, Andrea Kofol Seliger, Rostislav Kouznetsov, Gian-Duri Lieberherr, David J. O’Connor, José Oteros, Yuliia Palamarchuk, Helena Ribeiro, Barbora Werchan, Matthias Werchan, Bernard ClotList of authors in order
- Landing page
-
https://doi.org/10.1016/j.scitotenv.2023.165800Publisher landing page
- PDF URL
-
https://ars.els-cdn.com/content/image/1-s2.0-S0048969723044236-ga1_lrg.jpgDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://ars.els-cdn.com/content/image/1-s2.0-S0048969723044236-ga1_lrg.jpgDirect OA link when available
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Representativeness heuristic, Computer science, Network planning and design, Data mining, Redundancy (engineering), Fidelity, Representation (politics), Computer network, Mathematics, Telecommunications, Operating system, Politics, Political science, Law, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 5Per-year citation counts (last 5 years)
- References (count)
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93Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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