Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026325 |
A 1DVAR-based snowfall rate retrieval algorithm for passive microwave radiometers | |
Meng, Huan1; Dong, Jun2; Ferraro, Ralph1; Yan, Banghua1; Zhao, Limin1; Kongoli, Cezar2; Wang, Nai-Yu2; Zavodsky, Bradley3 | |
2017-06-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Snowfall rate retrieval from spaceborne passive microwave (PMW) radiometers has gained momentum in recent years. PMW can be so utilized because of its ability to sense in-cloud precipitation. A physically based, overland snowfall rate (SFR) algorithm has been developed using measurements from the Advanced Microwave Sounding Unit-A/Microwave Humidity Sounder sensor pair and the Advanced Technology Microwave Sounder. Currently, these instruments are aboard five polar-orbiting satellites, namely, NOAA-18, NOAA-19, Metop-A, Metop-B, and Suomi-NPP. The SFR algorithm relies on a separate snowfall detection algorithm that is composed of a satellite-based statistical model and a set of numerical weather prediction model-based filters. There are four components in the SFR algorithm itself: cloud properties retrieval, computation of ice particle terminal velocity, ice water content adjustment, and the determination of snowfall rate. The retrieval of cloud properties is the foundation of the algorithm and is accomplished using a one-dimensional variational (1DVAR) model. An existing model is adopted to derive ice particle terminal velocity. Since no measurement of cloud ice distribution is available when SFR is retrieved in near real time, such distribution is implicitly assumed by deriving an empirical function that adjusts retrieved SFR toward radar snowfall estimates. Finally, SFR is determined numerically from a complex integral. The algorithm has been validated against both radar and ground observations of snowfall events from the contiguous United States with satisfactory results. Currently, the SFR product is operationally generated at the National Oceanic and Atmospheric Administration and can be obtained from that organization. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000405514000023 |
WOS关键词 | SOUNDING UNIT ; FREEZING PRECIPITATION ; SCATTERING PROPERTIES ; NATURAL CLOUDS ; ICE ; LAND ; FREQUENCIES ; RAIN ; PARTICLES ; CRYSTALS |
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/33732 |
专题 | 气候变化 |
作者单位 | 1.NOAA, Natl Environm Satellite Data & Informat Serv, College Pk, MD USA; 2.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Cooperat Inst Climate & Satellites Maryland, College Pk, MD 20742 USA; 3.NASA, Marshall Space Flight Ctr, Earth Sci Off, Short Term Predict Res & Transit Ctr, Huntsville, AL USA |
推荐引用方式 GB/T 7714 | Meng, Huan,Dong, Jun,Ferraro, Ralph,et al. A 1DVAR-based snowfall rate retrieval algorithm for passive microwave radiometers[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(12). |
APA | Meng, Huan.,Dong, Jun.,Ferraro, Ralph.,Yan, Banghua.,Zhao, Limin.,...&Zavodsky, Bradley.(2017).A 1DVAR-based snowfall rate retrieval algorithm for passive microwave radiometers.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(12). |
MLA | Meng, Huan,et al."A 1DVAR-based snowfall rate retrieval algorithm for passive microwave radiometers".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.12(2017). |
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。
修改评论