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| Quantitative precipitation estimation algorithm for C-band radar situated in complex topographical regions |
| Received:October 10, 2020 Revised:April 10, 2021 |
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| KeyWord:Weather radar;Quantitative precipitation estimation;Quality control;Precipitation type classification |
| Author Name | Affiliation | E-mail | | LI Qiao | College of Atmospheric Sciences，Lanzhou University，Lanzhou 730000，China | | | QI Youcun | College of Atmospheric Sciences，Lanzhou University，Lanzhou 730000，China
The Key Laboratory of Water Cycle and Related Land Surface Processes，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China
The University of Chinese Academy of Sciences，Beijing 100864，China | youcun.qi@igsnrr.ac.cn | | ZHU Ziwei | The Key Laboratory of Water Cycle and Related Land Surface Processes，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China
The University of Chinese Academy of Sciences，Beijing 100864，China | | | YANG Yi | College of Atmospheric Sciences，Lanzhou University，Lanzhou 730000，China | | | MIN Jinzhong | School of Atmospheric Sciences，Nanjing University of Information Science and Technology，Nanjing 210044，China | | | SHI Chunxiang | Meteorological Data Research Office，National Meteorological Information Center，Beijing，100081，China | | | ZHANG Zhe | The Key Laboratory of Water Cycle and Related Land Surface Processes，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China | | | LI Donghuan | The Key Laboratory of Water Cycle and Related Land Surface Processes，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China | | | WANG Nan | Shaanxi Provincial Meteorological Service，Xi’an 710014，China | | | HU Qiyuan | Shaanxi Provincial Meteorological Service，Xi’an 710014，China | |
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| Abstract: |
| The accuracy of C-band radar quantitative precipitation estimation (QPE) is affected by many factors, including the following: (1) Calibration of radar observations, (2) interference from non-meteorological echoes, (3) vertical spatial variation of precipitation, (4) severe radar beam blockage by terrain or ground objects, (5) Z-R relationship, (6) multi-radar mosaic method, (7) radar observation echo attenuation, etc. In this paper, the radar quantitative precipitation estimation is conducted based on the C-band weather radar in Shaanxi Province. It improves the accuracy of the C-band weather radar QPE from the aspects of radar quality control, terrain blockage, Z-R relationship and multi-radar mosaic, and produces precipitation type and 1 h QPE products. The spatial and temporal resolutions of the product are 0.01°×0.01° and 6 min, respectively. Through the evaluation of seven precipitation processes, the results show that radar QPE based on hybrid scan reflectivity processing module and precipitation type classification module is close to the precipitation observed by the ground gauge stations. The statistical indicators RMSE of hourly precipitation is stable and below 3 mm, RMAE is about 50% and remains stable, and RMB remains within -30%. The dispersion and absolute deviation of radar QPE products are both low, indicating the radar QPE obtained by this algorithm is stable and reliable. |
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