Tulin Hong1 2 3, Hongyi Li4, Meiqiu Chen1 2
1 College of Land Resources and Environment, Jiangxi Agricultural University
2 Key Laboratory of Poyang Lake Basin Agricultural Resources and Ecology
3 Land Consolidation and Rehabilitation Center of Jiangxi
4 Department of Land Resource Management, Jiangxi University of Finance and Economics
Abstract:Accurate knowledge of the precipitation estimates with high quality and fine spatiotemporal resolutions is crucial to the precipitation science communities, especially over poorly gauged regions. In this study, we apply various validation metrics to comprehensively evaluate three latest model-based and satellite-based precipitation products, namely the fifth-generation global atmospheric analysis data set of the European Center for Medium-Range Weather Forecasts (ECMWF) (ERA5), ERA5-Land and Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) Final Run (IMERG-Final), against hourly rain gauge observations over Jiangxi province, south central China, in 2019. The main conclusions of this study include but not limited to: (a) considering the precipitation amount, both reanalysis precipitation data and satellite-based precipitation products have similar spatial patterns and show overestimations; (b) IMERG-Final generally outperforms ERA5 and ERA5-Land at multiple temporal scales, especially in terms of CC, FAR and MFI; (c) ERA5 and ERA5-Land precipitation products have similar spatiotemporal error characteristics, and ERA5-Land performs better than ERA5; (d) in the respect of the capabilities of capturing precipitation events, the spatial characteristics of IMERG[1]Final are the closest to those of rain gauges, while ERA5 and ERA5-Land significantly overestimate the event duration and underestimate the mean event precipitation rate. These findings could help the state[1]of-the-art model-based and satellite-based precipitation products improve the data quality in the future generations.
摘要：对于降水科学界来说，准确了解高质量和精细的时空分辨率是至关重要的，特别是在测量不充分的地区。在这项研究中，我们应用各种验证指标来全面评估三种最新的基于模型和卫星的降水产品，即欧洲中距离大气分析中心的第五代全球大气分析数据集、欧洲中程天气预报中心（ECMWF）的第五代全球大气分析数据集（ERA5）、ERA5-Land和全球降水测量综合多卫星检索（IMERG）最终运行（IMERG-Final），在2019年与中国中南部江西省的每小时雨量计观测数据进行综合评估。本研究的主要结论包括但不限于以下内容：1) 考虑于降水量，再分析降水数据和基于卫星的降水产品都有类似的空间模式，并显示出高估结果；2) IMERG-Final在多个时间尺度上普遍优于ERA5和ERA5-Land，尤其是在CC、FAR和MFI方面；3) ERA5和ERA5 Land降水产品具有相似的时空误差特征，ERA5-Land 比 ERA5 表现更好；4) 在捕捉降水事件的能力方面，IMERGFinal 的空间特征最接近雨量计，而 ERA5 和 ERA5-Land 则明显高估了事件持续时间，低估了事件平均降水率。这些发现可以帮助基于模型和卫星的降水产品在未来几代中提高数据质量。
原文链接：https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EA001787
下载链接：
Comprehensive Evaluations on the Error Characteristics of the State-of-the-Art Gridded Precipitation Products Over Jiangxi Province in 2019.pdf
