Development of Rice Paddy Model Based on Noah LSM: Consistent Parameterization of Subcanopy Resistance from the Ponded Water to Dense Rice Canopy

IF 2.2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Hee-Jeong Lim, Young-Hee Lee
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引用次数: 0

Abstract

We developed a rice paddy model based on Noah land surface model (LSM) considering the standing water layer during the irrigation periods. In the model, we adopted a consistent subcanopy process from thin to thick canopy conditions and considered a small scalar roughness length of the water surface in the rice paddy fields. We evaluated the performance of the model using observations from three rice paddy sites with different leaf area index and water depth in Japan during the growing season. Two simulations were performed in an offline mode: a Noah LSM simulation with saturated soil moisture in the top two soil layers (IRRI) and a rice paddy model simulation (RICE). The average root mean squared errors of ground, sensible, and latent heat fluxes, and first soil layer temperature decreased by 20%, 16%, 17%, and 31%, respectively in the RICE simulation, compared to the IRRI simulation. The better performance of the RICE simulation was attributed to the consideration of the heat storage of the standing water layer during the irrigation periods and the realistic energy partitioning by the single-canopy model during the non-irrigation periods. Two sensitivity tests were performed related to the roughness length of the water and the constant mean water depth. When the small roughness length of the water surface during the irrigation periods was not considered, the subcanopy resistance decreased, which resulted in a cold bias in the daily mean ground and soil temperature and an overestimation of the daily mean latent heat flux under low leaf area index conditions. The use of constant mean water depth in the model did not significantly change simulated surface fluxes and ground and first soil layer temperature, implying that detailed information on temporally changing water depth is less important in the simulation.

Abstract Image

Abstract Image

基于诺亚 LSM 的水稻田模型开发:从积水到茂密稻冠的冠下阻力的一致参数化
我们在诺亚地表模型(LSM)的基础上开发了一个考虑到灌溉期积水层的水稻田模型。在该模型中,我们采用了从稀疏冠层到厚冠层的一致的亚冠层过程,并考虑了稻田中水面的小标度粗糙度长度。我们利用日本三个不同叶面积指数和水深的稻田在生长季节的观测数据对模型的性能进行了评估。我们在离线模式下进行了两次模拟:Noah LSM 模拟(顶部两层土壤水分饱和)(IRRI)和水稻田模型模拟(RICE)。与 IRRI 模拟相比,RICE 模拟的地面、显热通量、潜热通量和第一土壤层温度的平均均方根误差分别降低了 20%、16%、17% 和 31%。RICE 模拟效果更好的原因是考虑了灌溉期间积水层的蓄热以及非灌溉期间单冠模型的实际能量分配。对水体的粗糙度长度和恒定的平均水深进行了两项敏感性测试。当不考虑灌溉期水面粗糙度长度较小时,树冠下阻力减小,从而导致日平均地温和土壤温度偏低,并高估了低叶面积指数条件下的日平均潜热通量。在模型中使用恒定的平均水深并没有显著改变模拟的地表通量以及地面和第一土壤层温度,这意味着水深随时间变化的详细信息在模拟中并不那么重要。
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来源期刊
Asia-Pacific Journal of Atmospheric Sciences
Asia-Pacific Journal of Atmospheric Sciences 地学-气象与大气科学
CiteScore
5.50
自引率
4.30%
发文量
34
审稿时长
>12 weeks
期刊介绍: The Asia-Pacific Journal of Atmospheric Sciences (APJAS) is an international journal of the Korean Meteorological Society (KMS), published fully in English. It has started from 2008 by succeeding the KMS'' former journal, the Journal of the Korean Meteorological Society (JKMS), which published a total of 47 volumes as of 2011, in its time-honored tradition since 1965. Since 2008, the APJAS is included in the journal list of Thomson Reuters’ SCIE (Science Citation Index Expanded) and also in SCOPUS, the Elsevier Bibliographic Database, indicating the increased awareness and quality of the journal.
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