Large-scale forcing data for GOAmazon field campaign
The constrained variational objective analysis approach described in Zhang and Lin (1997) and Zhang et al. (2001) was used to derive the large-scale single-column/cloud resolving model forcing and evaluation data set during the Green Ocean Amazon 2014/5 (GOAmazon). The derived large-scale forcing data help to understand the role of the adiabatic heating and moistening profiles associated with local convections as a major driver of the atmospheric circulation far away from the Amazonia region, and provide a realistic representation of large-scale dynamical fields to simulate tropical clouds and convections accurately.
Two versions of large-scale forcing data are provided. One is continuous forcing for the full year 2014 and 2015; the other is for the two IOPs in 2014: the 1st IOP (wet season) from 15 Feb to 26 Mar 2014, the 2nd IOP (dry season) from 1 Sep to 10 Oct 2014. The forcing data represent an average over the analysis domain centered at SIPAM radar station at Manaus, Brazil with a radius of 110 km as shown in Figure 1. Time resolution is 3 hour and vertical resolution is 25mb.
For more details, please refer to the Technical Report for GOAmazon.
Reference:
Tang, S., S. Xie, Y. Zhang, M. Zhang, C. Schumacher, H. Upton, et al. (2016), Large-scale vertical velocity, diabatic heating and drying profiles associated with seasonal and diurnal variations of convective systems observed in the GoAmazon2014/5 experiment, Atmos. Chem. Phys., 16(22), 14249-14264, doi:10.5194/acp-16-14249-2016.
