Climate Change Data Portal
DOI | 10.1016/j.atmosres.2019.04.010 |
Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD radars | |
Keem M.; Seo B.-C.; Krajewski W.F.; Morris K.R. | |
发表日期 | 2019 |
ISSN | 0169-8095 |
起始页码 | 49 |
结束页码 | 65 |
卷号 | 226 |
英文摘要 | This study demonstrates the potential use of the NASA's Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) to examine ground radar (GR) miscalibration and other uncertainty sources (e.g., partial beam blockage). We acquired the GPM Ground Validation System Validation Network reflectivity matchups between the DPR and three GRs (two in Iowa and one in South Dakota) for 2014–2017. We then refined the matching parameters (e.g., time separation) to reduce uncertainty in the matchup samples by analyzing the sensitivity of the matchup statistical properties to changes in these parameters. To reconcile the same observables (i.e., reflectivity) with different observational properties among the space- and ground-based radars, we developed a statistically integrated framework using inter-comparisons of them all with a Monte Carlo simulation. This method verifies the absolute calibration bias estimated from the refined DPR–GR matchups using relative calibration biases between GRs. We found that taking samples with a narrow temporal gap, estimated by actual measurement time of the DPR and GRs, can significantly reduce sample variability. Through inter-comparisons among the DPR and GRs, we observed that reflectivity differences among GRs in a similar environment (e.g., climatology and geography) are likely to be affected primarily by the calibration mismatch. In this case, the inter-comparison results demonstrated good agreement, and we inferred that the differences can be mitigated by calibration bias correction against the DPR. On the other hand, when the disagreement level of the inter-comparison results is significant, the authors found that other factors, such as partial beam blockage even in relatively plain regions, are more dominant than the calibration bias. In fact, the partial beam blockage effects can manifest themselves as a seasonal pattern in the GR inter-comparison results. © 2019 Elsevier B.V. |
英文关键词 | GPM DPR; Ground radar calibration; Partial beam blockage |
语种 | 英语 |
scopus关键词 | Calibration; Intelligent systems; Monte Carlo methods; NASA; Precipitation (meteorology); Radar; Reflection; Uncertainty analysis; Dual-frequency precipitation radars; Global precipitation measurements; GPM DPR; Ground radars; Ground validation systems; Partial beam blockages; Reflectivity measurements; Statistical properties; Radar measurement; calibration; comparative study; correction; Monte Carlo analysis; NEXRAD; precipitation assessment; reflectivity; uncertainty analysis; Iowa; South Dakota; United States |
来源期刊 | Atmospheric Research |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/162115 |
作者单位 | IIHR—Hydroscience & Engineering, The University of Iowa, Iowa City, IA, United States; Science Applications International Corporation (SAIC), Reston, VA, United States |
推荐引用方式 GB/T 7714 | Keem M.,Seo B.-C.,Krajewski W.F.,et al. Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD radars[J],2019,226. |
APA | Keem M.,Seo B.-C.,Krajewski W.F.,&Morris K.R..(2019).Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD radars.Atmospheric Research,226. |
MLA | Keem M.,et al."Inter-comparison of reflectivity measurements between GPM DPR and NEXRAD radars".Atmospheric Research 226(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。