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Correction of the High-Latitude Rain Day Anomaly in the NCEP-NCAR Reanalysis for Land Surface Hydrological Modeling

机译:NCEP-NCAR再分析中高纬雨天异常的陆地表面水文模拟的校正

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A spurious wavelike pattern in the monthly rain day statistics exists within the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) reanalysis precipitation product. The anomaly, which is an artifact ofthe parameterization of moisture diffusion, occurs during the winter months in the Northern and Southern Hemisphere high latitudes. The anomaly is corrected by using monthly statistics from three different global precipitation products from 1) the University of Washington (UW), 2) the Global Precipitation Climate Project (GPCP), and 3) the Climatic Research Unit (CRU), resulting in three slightly different corrected precipitation products. The correction methodology, however, compromises spatial consistency (e.g., storm tracking) on a daily time scale. The effect that the precipitation correction has on the reanalysis-derived global land surface water budgets is investigated by forcing the Variable Infiltration Capacity (VIC) land surface model with all four datasets (i.e., the original reanalysis product and the three corrected datasets). The main components of the land surface water budget cycle are not affected substantially; however, the increased spatial variability in precipitation is reflectedin the evaporation and runoff components but reduced in the case of soil moisture. Furthermore, the partitioning of precipitation into canopy evaporation and throughfall is sensitive to the rain day statistics of the correcting dataset, especially in theTropics, and this has implications for the required accuracy of the correcting dataset. The output fields from these long-term land surface simulations provide a global, consistent dataset of water and energy states and fluxes that can be used for modelintercom-parisons, studies of annual and seasonal climate variability, and comparisons with current versions of numerical weather prediction models.
机译:国家环境预测中心-国家大气研究中心(NCEP-NCAR)再分析降水产品中存在每月雨日统计数据中的虚假波动模式。这种异常现象是水分扩散参数化的产物,它发生在北半球和南半球高纬度的冬季。通过使用以下三种不同的全球降水产品的月度统计数据来更正异常:1)华盛顿大学(UW),2)全球降水气候项目(GPCP)和3)气候研究部门(CRU),得出了三个校正后的沉淀产物略有不同。然而,该校正方法在日常时间尺度上损害了空间一致性(例如,风暴跟踪)。通过对所有四个数据集(即原始的再分析产品和三个校正后的数据集)强制使用可变渗透能力(VIC)地表模型,研究了降水校正对重新分析得出的全球陆地地表水预算的影响。土地地表水预算周期的主要组成部分没有受到重大影响;然而,降水空间变异性的增加反映在蒸发和径流成分上,但在土壤水分的情况下减少。此外,将降水划分为冠层蒸发量和穿透水量对校正数据集的雨天统计数据很敏感,尤其是在热带地区,这对校正数据集所需的准确性有影响。这些长期陆地表面模拟的输出字段提供了一个全球,一致的水和能量状态及通量数据集,可用于模型间比对,年度和季节性气候变化研究以及与当前版本的数值天气预报进行比较楷模。

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