Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE

被引:8
作者
Chen, Sheng [1 ,2 ]
Zhang, Jian [3 ]
Mullens, Esther [4 ]
Hong, Yang [2 ,5 ,6 ]
Behrangi, Ali [7 ]
Tian, Yudong [8 ,9 ]
Hu, Xiao-Ming [10 ]
Hu, Junjun [11 ]
Zhang, Zengxin [12 ]
Zhang, Xinhua [13 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Labaratory Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
[3] NOAA, Natl Severe Storms Lab, Norman, OK 73072 USA
[4] Univ Oklahoma, South Cent Climate Sci Ctr, Norman, OK 73019 USA
[5] Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA
[6] Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73019 USA
[7] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[8] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA
[9] NASA, Hydrol Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[10] Univ Oklahoma, Ctr Anal & Predict Storms, Norman, OK 73072 USA
[11] Univ Oklahoma, Sch Comp Sci, Norman, OK 73072 USA
[12] Nanjing Forestry Univ, Coll Biol & Environm, Joint Innovat Ctr Modern Forestry Studies, Nanjing 210037, Jiangsu, Peoples R China
[13] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2015年 / 53卷 / 08期
基金
中国国家自然科学基金;
关键词
Radar; snow; RADAR; CLIMATOLOGY; LAND; PRODUCT;
D O I
10.1109/TGRS.2015.2399015
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Understanding the Earth's energy cycle and water balance requires an understanding of the distribution of precipitation types and their total equivalent water budget estimation. The fine distribution of precipitation types over the contiguous United States (CONUS) is not yet well understood due to either unavailability or coarse resolution of previous satellite-and ground radar-based precipitation products that have difficulty in classifying precipitation. The newly available NOAA/National Severe Storms Laboratory ground radar network-based National Multi-Sensor Mosaic QPE (NMQ/Q2) System has provided precipitation rates and types at unprecedented high spatiotemporal resolution. Here, four years of 1 km/5 min observations derived from the NMQ are used to probe spatiotemporal distribution and characteristics of precipitation types (stratiform, convective, snow, tropical/warm (T/W), and hail) over CONUS, resulting in assessment of occurrence and volume contribution for these precipitation types through the four-year period, including seasonal distributions, with some radar coverage artifacts. These maps in general highlight the snow distribution over northwestern and northern CONUS, convective distribution over southwestern and central CONUS, hail distribution over central CONUS, and T/W distribution over southeastern CONUS. The total occurrences (contribution of total rain amount/volume) of these types are 72.88% (53.91%) for stratiform, 21.15% (7.64%) for snow, 2.95% (19.31%) for T/W, 2.77% (14.03%) for convective, and 0.24% (5.11%) for hail. This paper makes it possible to prototype a near seamless high-resolution reference for evaluating satellite swath-based precipitation type retrievals and also a potentially useful forcing database for energy-water balance budgeting and hydrological prediction for the United States.
引用
收藏
页码:4434 / 4443
页数:10
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