Seasonal forecasting and health impact models : challenges and opportunities
© 2016 New York Academy of Sciences..
After several decades of intensive research, steady improvements in understanding and modeling the climate system have led to the development of the first generation of operational health early warning systems in the era of climate services. These schemes are based on collaborations across scientific disciplines, bringing together real-time climate and health data collection, state-of-the-art seasonal climate predictions, epidemiological impact models based on historical data, and an understanding of end user and stakeholder needs. In this review, we discuss the challenges and opportunities of this complex, multidisciplinary collaboration, with a focus on the factors limiting seasonal forecasting as a source of predictability for climate impact models.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2016 |
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| Erschienen: |
2016 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:1382 |
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| Enthalten in: |
Annals of the New York Academy of Sciences - 1382(2016), 1 vom: 04. Okt., Seite 8-20 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ballester, Joan [VerfasserIn] |
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| Links: |
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| Themen: |
Climate services |
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| Anmerkungen: |
Date Completed 20.07.2017 Date Revised 11.03.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1111/nyas.13129 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © 2016 New York Academy of Sciences. | ||
| 520 | |a After several decades of intensive research, steady improvements in understanding and modeling the climate system have led to the development of the first generation of operational health early warning systems in the era of climate services. These schemes are based on collaborations across scientific disciplines, bringing together real-time climate and health data collection, state-of-the-art seasonal climate predictions, epidemiological impact models based on historical data, and an understanding of end user and stakeholder needs. In this review, we discuss the challenges and opportunities of this complex, multidisciplinary collaboration, with a focus on the factors limiting seasonal forecasting as a source of predictability for climate impact models | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a climate services | |
| 650 | 4 | |a climate variability | |
| 650 | 4 | |a health impacts | |
| 650 | 4 | |a seasonal forecasting | |
| 650 | 4 | |a statistical models | |
| 700 | 1 | |a Lowe, Rachel |e verfasserin |4 aut | |
| 700 | 1 | |a Diggle, Peter J |e verfasserin |4 aut | |
| 700 | 1 | |a Rodó, Xavier |e verfasserin |4 aut | |
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