Development and Validation of a New Land Surface Model for JMA’s Operational Global Model Using the CEOP Observation Dataset
Development and Validation of a New Land Surface Model for JMA’s Operational Global Model Using the CEOP Observation Dataset
复制标题
DOI：
10.2151/jmsj.85a.1
复制
发表时间：
2007
影响因子：
3.1
通讯作者：
M. Hirai;Takuya Sakashita;H. Kitagawa;T. Tsuyuki;M. Hosaka;Mitsuo Oh'izumi
中科院分区：
文献类型：
--
作者：
M. Hirai;Takuya Sakashita;H. Kitagawa;T. Tsuyuki;M. Hosaka;Mitsuo Oh'izumi
日本气象厅（JMA）的全球数值天气预报业务模式目前采用简单生物圈（SiB）模式。JMA一直在开发新的SiB模型（New-SiB），作为当前SiB模型（Op-SiB）的升级。与Op-SiB相比，New-SiB改善了土壤和雪处理。在3年的时间内进行的集成实验的结果表明，新的SiB预测积雪覆盖的地区更准确地比Op-SiB。此外，New-SiB对极夜月平均气温的模拟效果较好。为了验证New-SiB中近地面气象要素的日循环，使用增强观测期3（EOP-3）的CEOP（协调增强观测期）现场观测数据验证了使用两个SiB模式获得的短期预报。New-SiB通常比Op-SiB更准确地模拟近地表温度的日变化，特别是在积雪覆盖的地区;然而，短期预报实验也揭示了两种模式的一些缺点。CEOP数据集在评估数值天气预报模式方面具有很高的价值。
The operational global numerical weather prediction model at the Japan Meteorological Agency (JMA) currently adopts a Simple Biosphere (SiB) model. JMA has been developing a new SiB model (New-SiB) as an upgrade to the current SiB model (Op-SiB). New-SiB has improved treatment of soil and snow processes compared with Op-SiB. The results of integration experiments performed over a period of 3 years indicate that New-SiB predicts snow-covered areas more accurately than Op-SiB. Moreover, the monthly mean surface air temperature during the polar night is better simulated using New-SiB. To validate the diurnal cycle of near-surface meteorological elements in New-SiB, short-range forecasts obtained using the two SiB models are verified using CEOP (Coordinated Enhanced Observing Period) in situ observation datasets for the Enhanced Observing Period 3 (EOP-3). New-SiB generally simulates diurnal variations in near-surface temperature more accurately than Op-SiB, especially over snow-covered areas; however, the short-range forecast experiments also reveal a number of shortcomings in both models. The CEOP datasets are highly valuable in evaluating numerical weather-prediction models.