Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.06.018 |
Evaluation of the GPM-DPR snowfall detection capability: Comparison with CloudSat-CPR | |
Casella, Daniele1,2; Panegrossi, Giulia1; Sano, Paolo1; Marra, Anna Cinzia1; Dietrich, Stefano1; Johnson, Benjamin T.3,4; Kulie, Mark S.5 | |
2017-11-15 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2017 |
卷号 | 197 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy; USA |
英文摘要 | An important objective of the Global Precipitation Measurement (GPM) mission is the detection of falling snow, since it accounts for a significant fraction of precipitation in the mid-high latitudes. The GPM Core Observatory carries the first spaceborne Dual-frequency Precipitation Radar (DPR), designed with enhanced sensitivity to detect lighter liquid and solid precipitation. The primary goal of this study is to assess the DPR's ability to identify snowfall using near-coincident CloudSat Cloud Profiling Radar (CPR) observations and products as an independent reference dataset. CloudSat near global coverage and high sensitivity of the W-band CPR make it very suitable for snowfall-related research. While DPR/CPR radar sensitivity disparities contribute substantially to snowfall detection differences, this study also analyzes other factors such as precipitation phase discriminators that produce snowfall identification discrepancies. Results show that even if the occurrence of snowfall events correctly detected by DPR products is quite small compared to CPR (around 5-7%), the fraction of snowfall mass is not negligible (29-34%). A direct comparison of CPR and DPR reflectivities illustrates that DPR misdetection is worsened by a noise-reducing DPR algorithm component that corrects the measured reflectivity. This procedure eliminates the receiver noise and side lobe clutter effects, but also removes radar signals related to snowfall events that are associated with relatively low reflectivity values. In an effort to increase DPR signal fidelity associated with snowfall, this paper proposes a simple algorithm using matched DPR Ku/Ka radar reflectivities producing an increase of the fraction of snowfall mass detected by DPR up to 59%. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000412250700004 |
WOS关键词 | ORBIT PERFORMANCE ; PROFILING RADAR ; A-TRAIN ; PRECIPITATION ; MISSION ; SPACE ; SATELLITE ; PRODUCT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38528 |
专题 | 地球科学 |
作者单位 | 1.CNR, Ist Sci Atrnosfera & Clima, Rome, Italy; 2.Serco SPA, Frascati, Italy; 3.Univ Corp Atmospher Res, College Pk, MD USA; 4.NOAA, Numer Ctr Weather & Climate Predict, Joint Ctr Satellite Data Assimilat, College Pk, MD USA; 5.Michigan Technol Univ, Houghton, MI 49931 USA |
推荐引用方式 GB/T 7714 | Casella, Daniele,Panegrossi, Giulia,Sano, Paolo,et al. Evaluation of the GPM-DPR snowfall detection capability: Comparison with CloudSat-CPR[J]. ATMOSPHERIC RESEARCH,2017,197. |
APA | Casella, Daniele.,Panegrossi, Giulia.,Sano, Paolo.,Marra, Anna Cinzia.,Dietrich, Stefano.,...&Kulie, Mark S..(2017).Evaluation of the GPM-DPR snowfall detection capability: Comparison with CloudSat-CPR.ATMOSPHERIC RESEARCH,197. |
MLA | Casella, Daniele,et al."Evaluation of the GPM-DPR snowfall detection capability: Comparison with CloudSat-CPR".ATMOSPHERIC RESEARCH 197(2017). |
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