Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02 ; volume:12 ; number:8 ; year:2019 ; pages:3641-3648
Geoscientific model development ; 12, Heft 8 (2019), 3641-3648

Creator: Travis, Katherine
Jacob, Daniel J.

DOI: 10.5194/gmd-12-3641-2019

URN: urn:nbn:de:101:1-2019082905334250128368

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

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Travis, Katherine
Jacob, Daniel J.

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Systematic bias in evaluating chemical transport models with maximum daily 8&thinsp;h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02

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Other Objects (12)

Systematic bias in evaluating chemical transport models with maximum daily 8-hour average (MDA8) surface ozone for air quality applications

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Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02

Global simulation of tropospheric chemistry at 12.5 km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM)

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