看到美国人为谁第一个设计在线的大气化学而争得面红耳赤，我笑了

deanchen

Comment on “fully coupled ‘online’ chemistry within the WRF model,” by Grell et al., 2005. Atmospheric Environment 39, 6957–6975
Grell et al. (2005) (herein G05) recently published a description and evaluation of a new “fully coupled ‘online’ Weather Research and Forecasting/Chemistry” model referred to as WRF/Chem. The authors state that “Until recently, the chemical processes in air quality modeling systems were usually treated independently of the meteorological model;… i.e., “offline”, except that the transport was driven by output from a meteorological model.” The abstract further states that both the air quality and meteorological components “use the same transport scheme, the same grid, and the same physics.” While this work is commendable, G05 were not aware that these general features were developed previously with significant effort, and not recently. Since most future numerical models will couple air quality and meteorology online and many researchers will use WRF-Chem and rely on G05, it is important to clarify the evolution of the online coupling of air quality and meteorological models.

Prior to 1994, meteorological and air quality models were, effectively separate. Some global-scale meteorological models treated the transport or radiative effects of selected bulk aerosol particles or gases (Covey et al., 1984; Cess et al., 1985; Coakley and Cess, 1985; Malone et al., 1986; Ghan et al., 1988), but these models did not treat multiple particles or gases, solve for size-resolved aerosol physical and chemical processes, integrate gas-phase chemistry, or simulate regional air pollution. On a regional scale, all air quality models used offline or interpolated winds (e.g., Morris and Myers, 1990; Carmichael et al., 1990; Yamartino et al., 1992; Russell et al., 1993, Harley et al., 1993, among others), and none of the numerous meteorological models solved for air quality parameters online.

Jacobson, 1994, Jacobson, 1997a and Jacobson, 1997b and Jacobson et al. (1996) developed what appears to have been the first “online” coupled air quality-meteorological model, GATOR/MMTD. This model solved gas, aerosol, radiative, transport, and meteorological processes simultaneously and feedback of air quality and meteorological parameters in both directions. Emitted and chemically formed gases and size-/composition-resolved aerosol particles were transported using winds and diffusivities predicted by the online meteorological module. The meteorological module, in turn, was driven by heating rates determined online from a two-stream spectral radiative transfer solution that accounted for the current optical properties of gases and aerosol particles. The meteorological and air quality modules used the same horizontal and vertical grid spacing, but with an option to extend the meteorological grid two additional grid cells beyond the chemical grid in the horizontal and to engulf one or more chemical layer in each meteorological layer.

In that version of the model, transport of meteorological variables and of chemical variables was solved with separate schemes. In Jacobson (1997c), though, new coding was developed to solve transport of pollutant tracers with the same transport scheme used to transport water vapor, energy, and column pressure in the meteorological module. This appears to be the first use of the same transport scheme for dynamical and air quality variables in a model.

Jacobson, 2001a and Jacobson, 2001b extended the model to the global scale, producing what appears to have been the first nested global-through-urban-scale online, coupled air pollution and weather forecast model, GATOR-GCMM. This model treated feedbacks between meteorology and air quality on multiple scales. On the global scale, the 13-point fourth-order transport scheme of Arakawa (1995), present in the meteorological module (Jacobson, 2001a, Section 2.3), was extended to all gas and size-resolved particle tracers (Jacobson, 2001a, Section 2.4) in a second example of a single scheme used to transport meteorological and air quality variables. The model has since evolved further, treating additional feedbacks between meteorology and air quality parameters (Jacobson, 2004) and including the option to use the transport scheme of Walcek and Aleksic (1998) for both air quality and meteorological parameters.
人家在文章里说wrf-chem是最早的在线大化模式，Jacobson实在忍不了，表示老子才是鼻祖

血雨腥风

nixiangbiaodashenmo

deanchen

血雨腥风 发表于 2014-10-21 20:50 nixiangbiaodashenmo

为谁是第一人争起来，太小气了…也破坏和谐社会

又是那隻貓

deanchen 发表于 2014-10-21 22:56
为谁是第一人争起来，太小气了…也破坏和谐社会

和谐？你的科学有别人厉害吗？人家争的是治学是版权是原创，你失去的是创新，还笑别人

denghaijun

谁是中国遥感第一人？

才仔

那么问题来了

deanchen

才仔 发表于 2014-10-22 10:33
那么问题来了

做大化模式哪家强？

deanchen

denghaijun 发表于 2014-10-22 09:30
谁是中国遥感第一人？

还是blue shit

haozl07

陈老师眼界开阔呀