4.8 Article

Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 4, 页码 2134-2142

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c05929

关键词

atmospheric deposition; multimodel ensemble; model-measurement fusion; earth-system modeling

资金

  1. BiodivScen ERA-Net COFUND programme
  2. AKA (Academy of Finland) [326328]
  3. ANR [ANR-18-EBI4-0007]
  4. BMBF [KFZ: 01LC1810A]
  5. FORMAS [700 2018-02434, 2018-02436, 2018-02437, 2018-02438]
  6. MICINN [APCIN: PCI2018-093149]
  7. Swedish Clean Air and Climate research programme (SCAC2) - Swedish Environmental Protection Agency [NV-037730-16]
  8. Office of Science of the U.S. Department of Energy [DE-AC05-00OR22725]
  9. European Commission [776810]
  10. Academy of Finland (AKA) [326328, 326328] Funding Source: Academy of Finland (AKA)
  11. Agence Nationale de la Recherche (ANR) [ANR-18-EBI4-0007] Funding Source: Agence Nationale de la Recherche (ANR)
  12. Formas [2018-02437, 2018-02438, 2018-02436] Funding Source: Formas
  13. Vinnova [2018-02437, 2018-02436] Funding Source: Vinnova
  14. Swedish Research Council [2018-02438] Funding Source: Swedish Research Council

向作者/读者索取更多资源

This study demonstrates the methodological benefits of multimodel ensemble and measurement-model fusion mapping approaches for atmospheric deposition, and suggests integrating new model-measurement techniques to improve global model-only deposition assessment.
Earth system and environmental impact studies need high quality and up-to-date estimates of atmospheric deposition. This study demonstrates the methodological benefits of multimodel ensemble and measurement-model fusion mapping approaches for atmospheric deposition focusing on 2010, a year for which several studies were conducted. Global model-only deposition assessment can be further improved by integrating new model-measurement techniques, including expanded capabilities of satellite observations of atmospheric composition. We identify research and implementation priorities for timely estimates of deposition globally as implemented by the World Meteorological Organization.

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