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DOI | 10.5194/acp-18-7509-2018 |
Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals | |
Ryu, Young-Hee1; Hodzic, Alma1,2; Barre, Jerome1,4; Descombes, Gael1; Minnis, Patrick3 | |
2018-05-30 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:10页码:7509-7525 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; France; England |
英文摘要 | Clouds play a key role in radiation and hence O-3 photochemistry by modulating photolysis rates and light-dependent emissions of biogenic volatile organic compounds (BVOCs). It is not well known, however, how much error in O-3 predictions can be directly attributed to error in cloud predictions. This study applies the Weather Research and Forecasting with Chemistry (WRF-Chem) model at 12 km horizontal resolution with the Morrison microphysics and Grell 3-D cumulus parameterization to quantify uncertainties in summertime surface O-3 predictions associated with cloudiness over the contiguous United States (CONUS). All model simulations are driven by reanalysis of atmospheric data and reinitialized every 2 days. In sensitivity simulations, cloud fields used for photochemistry are corrected based on satellite cloud retrievals. The results show that WRF-Chem predicts about 55% of clouds in the right locations and generally underpredicts cloud optical depths. These errors in cloud predictions can lead to up to 60 ppb of overestimation in hourly surface O-3 concentrations on some days. The average difference in summertime surface O-3 concentrations derived from the modeled clouds and satellite clouds ranges from 1 to 5 ppb for maximum daily 8 h average O-3 (MDA8 O-3) over the CONUS. This represents up to similar to 40% of the total MDA8 O-3 bias under cloudy conditions in the tested model version. Surface O3 concentrations are sensitive to cloud errors mainly through the calculation of photolysis rates (for similar to 80 %), and to a lesser extent to light-dependent BVOC emissions. The sensitivity of surface O-3 concentrations to satellite-based cloud corrections is about 2 times larger in VOC-limited than NOx-limited regimes. Our results suggest that the benefits of accurate predictions of cloudiness would be significant in VOC-limited regions, which are typical of urban areas. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000433511900003 |
WOS关键词 | BOUNDARY-LAYER ; ACTINIC FLUX ; AIR-QUALITY ; ATMOSPHERIC COMPOSITION ; AQMEII PHASE-2 ; PART II ; EMISSIONS ; NOX ; IMPLEMENTATION ; ENSEMBLE |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25032 |
专题 | 地球科学 |
作者单位 | 1.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 2.Univ Toulouse, CNRS, UPS, Lab Aerol, Toulouse, France; 3.NASA, Langley Res Ctr, Hampton, VA 23665 USA; 4.European Ctr Medium Range Weather Forecasts, Reading, Berks, England |
推荐引用方式 GB/T 7714 | Ryu, Young-Hee,Hodzic, Alma,Barre, Jerome,et al. Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(10):7509-7525. |
APA | Ryu, Young-Hee,Hodzic, Alma,Barre, Jerome,Descombes, Gael,&Minnis, Patrick.(2018).Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(10),7509-7525. |
MLA | Ryu, Young-Hee,et al."Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.10(2018):7509-7525. |
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