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| Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle - Part 1: Annual mean response in heating rates, temperature, and ozone 期刊论文 , 2020, 卷号: 20, 期号: 11 作者: Kunze M.; Kruschke T.; Langematz U.; Sinnhuber M.; Reddmann T.; Matthes K.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:32/0  |  提交时间:2020/07/28 annual variation atmospheric chemistry climate modeling heating irradiance mesosphere mixing ratio model test ozone quantitative analysis solar cycle spectral reflectance stratosphere temperature profile uncertainty analysis |
| Mixing characteristics of refractory black carbon aerosols at an urban site in Beijing 期刊论文 , 2020, 卷号: 20, 期号: 9 作者: Liu H.; Pan X.; Liu D.; Liu X.; Chen X.; Tian Y.; Sun Y.; Fu P.; Wang Z.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:9/0  |  提交时间:2020/07/28 aerosol black carbon climate effect climate forcing computer simulation Mie theory mixing numerical model photometer size distribution urban atmosphere Beijing [Beijing (ADS)] Beijing [China] China |
| The effects of cloud-aerosol interaction complexity on simulations of presummer rainfall over southern China 期刊论文 , 2020, 卷号: 20, 期号: 8 作者: Furtado K.; Field P.; Luo Y.; Zhou T.; Hill A.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:23/0  |  提交时间:2020/07/28 aerosol atmospheric transport climate effect climate forcing cloud microphysics complexity computer simulation concentration (composition) convective system numerical model rainfall top of atmosphere China |
| Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative 期刊论文 , 2020, 卷号: 20, 期号: 6 作者: Orbe C.; Plummer D.; Waugh D.; Yang H.; Jöckel P.; Kinnison D.; Josse B.; Marecal V.; Deushi M.; Luke Abraham N.; Archibald A.; Chipperfield M.; Dhomse S.; Feng W.; Bekki S.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:41/0  |  提交时间:2020/07/28 amplitude atmospheric chemistry atmospheric dynamics chemical composition climate modeling experiment general circulation model seasonality wind |
| The long-term trend and production sensitivity change in the US ozone pollution from observations and model simulations 期刊论文 , 2020, 卷号: 20, 期号: 5 作者: He H.; Liang X.-Z.; Sun C.; Tao Z.; Tong D.Q.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:32/0  |  提交时间:2020/07/28 air quality atmospheric pollution computer simulation mesoscale meteorology numerical model ozone regional climate summer trend analysis United States |
| Impact of poleward heat and moisture transports on Arctic clouds and climate simulation 期刊论文 , 2020, 卷号: 20, 期号: 5 作者: Baek E.-H.; Kim J.-H.; Park S.; Kim B.-M.; Jeong J.-H.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:26/0  |  提交时间:2020/07/28 arctic environment climate modeling cloud water CMIP general circulation model heat transfer moisture transfer polar region Arctic |
| Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations 期刊论文 , 2020, 卷号: 20, 期号: 5 作者: Blechschmidt A.-M.; Arteta J.; Coman A.; Curier L.; Eskes H.; Foret G.; Gielen C.; Hendrick F.; Marécal V.; Meleux F.; Parmentier J.; Peters E.; Pinardi G.; J M Piters A.; Plu M.; Richter A.; Segers A.; Sofiev M.; Valdebenito A.M.; Van Roozendael M.; Vira J.; Vlemmix T.; P. Burrows J.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:37/0  |  提交时间:2020/07/28 air quality atmospheric chemistry computer simulation diurnal variation ensemble forecasting nitrogen dioxide numerical model regional climate spatiotemporal analysis troposphere |
| Simulation of convective moistening of the extratropical lower stratosphere using a numerical weather prediction model 期刊论文 , 2020, 卷号: 20, 期号: 4 作者: Qu Z.; Huang Y.; Vaillancourt P.A.; Cole J.N.S.; Milbrandt J.A.; Yau M.-K.; Walker K.; De Grandpré J.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:32/0  |  提交时间:2020/07/28 atmospheric chemistry climate change climate modeling computer simulation convective system extratropical environment numerical model stratosphere water vapor weather forecasting Canada |
| Technical note: Deep learning for creating surrogate models of precipitation in Earth system models 期刊论文 , 2020, 卷号: 20, 期号: 4 作者: Weber T.; Corotan A.; Hutchinson B.; Kravitz B.; Link R.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:13/0  |  提交时间:2020/07/28 amplification artificial neural network climate prediction machine learning numerical model optimization precipitation assessment sampling |