Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis ; volume:17 ; number:13 ; year:2017 ; pages:8285-8312
Atmospheric chemistry and physics ; 17, Heft 13 (2017), 8285-8312
- Creator
-
Miyazaki, Kazuyuki
Bowman, Kevin
- DOI
-
10.5194/acp-17-8285-2017
- URN
-
urn:nbn:de:101:1-2017100915868
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Miyazaki, Kazuyuki
- Bowman, Kevin
Other Objects (12)
Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis
Constituent Process and Constituent Power
Correcting ozone biases in a global chemistry-climate model: implications for future ozone
Correcting ozone biases in a global chemistry–climate model: implications for future ozone
CONSTITUENT BODY
Wet and dry spells in Senegal: Evaluation of satellite-based and model re-analysis rainfall estimates
Evaluation of near-surface ozone over Europe from the MACC reanalysis
Effects of model chemistry and data biases on stratospheric ozone assimilation
Technical note: Quality assessment of ozone reanalysis products over subarctic Europe for biome modeling and ozone risk mapping
Hydrological evaluation of 14 satellite-based, gauge-based and reanalysis precipitation products in a data-scarce mountainous catchment
Cooler Arctic surface temperatures simulated by climate models are closer to satellite-based data than the ERA5 reanalysis
Cluster analysis of European surface ozone observations for evaluation of MACC reanalysis data
Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis
Constituent Process and Constituent Power
Correcting ozone biases in a global chemistry-climate model: implications for future ozone
Correcting ozone biases in a global chemistry–climate model: implications for future ozone
CONSTITUENT BODY
Wet and dry spells in Senegal: Evaluation of satellite-based and model re-analysis rainfall estimates
Evaluation of near-surface ozone over Europe from the MACC reanalysis
Effects of model chemistry and data biases on stratospheric ozone assimilation
Technical note: Quality assessment of ozone reanalysis products over subarctic Europe for biome modeling and ozone risk mapping
Hydrological evaluation of 14 satellite-based, gauge-based and reanalysis precipitation products in a data-scarce mountainous catchment
Cooler Arctic surface temperatures simulated by climate models are closer to satellite-based data than the ERA5 reanalysis
Cluster analysis of European surface ozone observations for evaluation of MACC reanalysis data
Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis
Constituent Process and Constituent Power
Correcting ozone biases in a global chemistry-climate model: implications for future ozone
Correcting ozone biases in a global chemistry–climate model: implications for future ozone
CONSTITUENT BODY
Wet and dry spells in Senegal: Evaluation of satellite-based and model re-analysis rainfall estimates
Evaluation of near-surface ozone over Europe from the MACC reanalysis
Effects of model chemistry and data biases on stratospheric ozone assimilation
Technical note: Quality assessment of ozone reanalysis products over subarctic Europe for biome modeling and ozone risk mapping
Hydrological evaluation of 14 satellite-based, gauge-based and reanalysis precipitation products in a data-scarce mountainous catchment
Cooler Arctic surface temperatures simulated by climate models are closer to satellite-based data than the ERA5 reanalysis