Evaluation of modeled surface ozone biases as a function of cloud cover fraction
A regional air-quality forecast system's model of surface ozone variability based on cloud coverage is evaluated using satellite-observed cloud fraction (CF) information and a surface air-quality monitoring system. We compared CF and daily maximum ozone from the National Oceanic and Atmospheric...
Main Authors: | H. C. Kim, P. Lee, F. Ngan, Y. Tang, H. L. Yoo, L. Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-09-01
|
Series: | Geoscientific Model Development |
Online Access: | http://www.geosci-model-dev.net/8/2959/2015/gmd-8-2959-2015.pdf |
Similar Items
-
Indirect contributions of global fires to surface ozone through ozone–vegetation feedback
by: Y. Lei, et al.
Published: (2021-08-01) -
Improved identification of clouds and ice/snow covered surfaces in SCIAMACHY observations
by: J. M. Krijger, et al.
Published: (2011-10-01) -
Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System
by: James A. Ridout, et al.
Published: (2021-04-01) -
Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals
by: Y.-H. Ryu, et al.
Published: (2018-05-01) -
Average versus high surface ozone levels over the continental USA: model bias, background influences, and interannual variability
by: J. J. Guo, et al.
Published: (2018-08-01)