气象学报（英文版）2022，Vol.36Issue(2)：1-46,46.
2000-2019年中国云水资源特性的诊断评估
Diagnostic Quantification of the Cloud Water Resource in China during 2000–2019
摘要
Abstract
By using the diagnostic quantification method for cloud water resource (CWR), the three-dimensional (3D) cloud fields of 1° × 1° resolution during 2000–2019 in China are firstly obtained based on the NCEP reanalysis data and re- lated satellite data. Then, combined with the Global Precipitation Climatology Project (GPCP) products, a 1° × 1° gridded CWR dataset of China in recent 20 years is established. On this basis, the monthly and annual CWR and re- lated variables in China and its six weather modification operation sub-regions are obtained, and the CWR character- istics in different regions are analyzed finally. The results show that in the past 20 years, the annual total amount of atmospheric hydrometeors (GMh) and water vapor (GMv) in the Chinese mainland are about 838.1 and 3835.9 mm, respectively. After deducting the annual mean precipitation of China (Ps, 661.7 mm), the annual CWR is about 176.4 mm. Among the six sub-regions, the southeast region has the largest amount of cloud condensation (Cvh) and precip- itation, leading to the largest GMh and CWR there. In contrast, the annual Ps, GMh, and CWR are all the least in the northwest region. Furthermore, the monthly and interannual variation trends of Ps, Cvh, and GMh in different regions are identical, and the evolution characteristics of CWR are also consistent with the hydrometeor inflow (Qhi). For the north, northwest, and northeast regions, in spring and autumn the precipitation efficiency of hydrometeors (PEh) is not high (20％–60％), the renewal time of hydrometeors (RTh) is relatively long (5–25 h), and GMh is relatively high. Therefore, there is great potential for the development of CWR through artificial precipitation enhancement (APE). For the central region, spring, autumn, and winter are suitable seasons for CWR development. For the southeast and southwest regions, Ps and PEh in summer are so high that the development of CWR should be avoided. For different spatial scales, there are significant differences in the characteristics of CWR.关键词
云水资源/诊断评估/人工影响天气分区/逐月和年际变化/开发特性Key words
cloud water resource (CWR)/diagnostic quantification/weather modification regions/monthly and annual variation/development characteristics引用本文复制引用
蔡淼,周毓荃,刘建朝,唐雅慧,谭超,赵俊杰,欧建军..2000-2019年中国云水资源特性的诊断评估[J].气象学报（英文版）,2022,36(2):1-46,46.基金项目
Supported by the National Key Research and Development Program of China(2016YFA0601701)and National High Technology Re-search and Development Program of China(2012AA120902). *资助课题:国家重点研发计划(2016YFA0601701),国家高技术研究发展计划(863计划)(2012AA120902) （2016YFA0601701）
