HRCLDAS气温数据在寒潮个例中的适用性评估

Applicability Assessment of HRCLDAS Air Temperature Data in Cold Wave Case

摘要: 本文选取2021年11月7~9日对山东造成较大影响的寒潮过程个例，对比HRCLDAS与观测数据在过程最低温、过程最大24小时降温幅度以及寒潮影响范围等方面的异同，评估HRCLDAS对寒潮过程的监测能力。评估结果表明：HRCLDAS气温数据对2021年11月7~9日寒潮过程的判别时间准确，与实测完全一致；使用HRCLDAS数据计算的过程最低气温、过程最大降温幅度与实测分布大致相同，且由于HRCLDAS引入了高分辨率地形数据，其对过程最低气温以及过程最大降温幅度的刻画更加细致；HRCLDAS与实测逐日寒潮影响范围变化相同，逐日寒潮影响范围均先增加，后减少，但HRCLDAS每日超强寒潮范围占比较观测偏多，其中，11月9日，观测与HRCLDAS的超强寒潮占比差异较大。

Abstract: The cold wave process from November 7 to 9, 2021 which has a great impact on Shandong was selected in this study. The difference of lowest temperature, the largest 24-hour temperature drop, and the scope of this cold wave process between HRCLDAS and observed data were analyzed to as-sess the ability of HRCLDAS in monitoring cold wave process. The evaluation results show that: the HRCLDAS temperature data is accurate for the identification time of the cold wave process, which is completely consistent with the actual measurement; the process minimum temperature and the process maximum temperature drop calculated using the HRCLDAS data are roughly the same as the measured distribution. HRCLDAS can describe the minimum temperature in more detail for taking topography into account. The daily cold wave influence range of HRCLDAS and observed was similar, with increasing first and then decreasing. The super cold wave proportion of HRCLDAS was more than observations, especially on November 9, the proportion of super cold wave between observed and HRCLDAS was quite different.