The NASA-Unified Weather Research and Forecasting model has been coupled with the Carnegie-Ames-Stanford Approach biogeochemical model/Global Fire Emissions Database and the Parameterized Chemistry Transport Model (NU-WRF-CASA) to simulate CO₂ transport and variability at fine spatial resolutions, which is anticipated to assist in better understanding the mechanisms and processes controlling carbon sources/sinks and in reducing uncertainty in carbon-climate interactions. NU-WRF-CASA is designed to operate in an internally consistent manner in which NASA's Goddard Earth Observing System Model, version 5, can be applied to drive the entire coupled modeling system. A 3-year simulation was carried out for North America to evaluate NU-WRF-CASA's performance under various regions and environmental conditions. Observational CO₂ data from tower, flask, aircraft, and satellite measurements were used for model evaluations. The results showed that NU-WRF-CASA correctly distributed CO₂ fluxes and reproduced spatial-temporal CO₂ transport and variability reasonably well with overall bias within 1 ppmv.

NASA统一的天气研究和预测模型已与卡内基-埃姆斯-斯坦福方法生物地球化学模型/全球火灾排放数据库和参数化化学物质运输模型（NU-WRF-CASA）结合在一起以模拟CO ₂在精细的空间分辨率下的迁移和可变性，预计将有助于更好地理解控制碳源/汇的机制和过程，并减少碳-气候相互作用的不确定性。NU-WRF-CASA设计为以内部一致的方式运行，可以将NASA的Goddard地球观测系统模型版本5应用于驱动整个耦合的建模系统。在北美进行了为期3年的模拟，以评估NU-WRF-CASA在不同地区和环境条件下的性能。来自塔架，烧瓶，飞机和卫星测量的观测CO ₂数据用于模型评估。结果表明，NU-WRF-CASA正确分配了CO ₂通量，并再现了时空CO。_2的运输和变异性相当好，总体偏差在1 ppmv之内。