CAJ | 학술논문

当陆面模式存在参数误差时，借助在NOAH陆面模式中同化表层土壤湿度的观测系统模拟试验，探讨同时估算土壤湿度廓线和校正土壤参数的集合平方根滤波方案的可行性。结果表明：准确校正参数对估算土壤湿度廓线非常重要，错误参数值会严重影响对模式状态量的更新。但是模式状态和参数同时更新的同化方案对参数的初估值较为敏感，只有选取合适的初估值才能保证参数校正和状态估计成功。
당륙면모식존재삼수오차시，차조재NOAH륙면모식중동화표층토양습도적관측계통모의시험，탐토동시고산토양습도곽선화교정토양삼수적집합평방근려파방안적가행성。결과표명：준학교정삼수대고산토양습도곽선비상중요，착오삼수치회엄중영향대모식상태량적경신。단시모식상태화삼수동시경신적동화방안대삼수적초고치교위민감，지유선취합괄적초고치재능보증삼수교정화상태고계성공。
In order to investigate the feasibility of estimating both soil moisture and soil parameters with the ensemble square root filter (EnSRF) in the presence of parameter errors, an observing system simulation experiment was set up, in which the near-surface soil moisture observations were assimilated into the NOAH land surface model. The experimental results showed that correcting soil parameters is very important to the estimation of soil moisture profile;uncorrected parameters will seriously influence the updating of model states. However, the data assimilation scheme of simultaneously updating the model states and model parameters is comparatively sensitive to parameters’ initial guess and only appropriately selecting the initial guess can make sure that the parameters and model states are successfully estimated at the same time.