[1]李晓俞,陈生,梁振清,等.台风“山竹”期间GPM卫星降水产品的误差评估[J].气象研究与应用,2020,41(03):8-15.[doi:10.19849/j.cnki.CN45-1356/P.2020.3.02]
　Li Xiaoyu,Chen Sheng,Liang Zhenqing,et al.Performance assessment of satellite-based quantitative precipitation estimation during Typhoon Mangkhut[J].Journal of Meteorological Research and Application,2020,41(03):8-15.[doi:10.19849/j.cnki.CN45-1356/P.2020.3.02]
点击复制

台风“山竹”期间GPM卫星降水产品的误差评估()
分享到：

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第41卷
期数:
2020年03期
页码:
8-15
栏目:
研究论文
出版日期:
2020-09-30

文章信息/Info

Title:
Performance assessment of satellite-based quantitative precipitation estimation during Typhoon Mangkhut
作者:
李晓俞1; 2;  陈生3; 4;  梁振清1; 2;  黄朝盈3; 4
1. 南宁师范大学北部湾环境演变与资源利用教育部重点实验室, 南宁 530001;
2. 南宁师范大学地理科学与规划学院, 南宁 530001;
3. 中山大学大气科学学院, 广东 珠海 519000;
4. 中山大学广东省气候变化与自然灾害研究重点实验室, 广东 珠海 519000
Author(s):
Li Xiaoyu1; 2;  Chen Sheng3; 4;  Liang Zhenqing1; 2;  Huang Chaoying3; 4
1. Ministry of Education on Environmental Evolution and Resource Utilization in Beibu Gulf, Nanning Normal University, Nanning Guangxi 530001;
2. Nanning Normal University, Ministry of Education, Nanning Guangxi 530001;
3. School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai Guangdong 519000;
4. Key Laboratory of Climate Change and Natural Disasters in Guangdong Province, Sun Yat-sen University, Zhuhai Guangdong 519000
关键词:
降水; IMERG; GPM; 台风“山竹”
Keywords:
rainfall; IMERG; GPM; Typhoon Mangkhut
分类号:
P412
DOI:
10.19849/j.cnki.CN45-1356/P.2020.3.02
摘要:
利用CMORPHGC数据作为基准数据，采用7种统计指数对比分析了V6B IMERG多种产品基于台风"山竹"期间在中国大陆、华南和华东雨区的降水情况。结果表明：（1）IMERG对华南台风强降雨有一定的辨识能力而对华东地区强降雨的估测能力较差；（2）IMERG_FRCal在4个产品中表现最好且能很好反映台风降雨评估，在准实时产品中，IMERG_ERUnCal的空间降水估测能力较优，而IMERG_LRUnCal的时序分布特征及估测华东由台风带来的降雨量表现较好；（3）IMERG降水探测主要集中在降水率小于5mm·h-1时，而在降水率大于30mm·h-1时，中国大陆和华东雨区中仅有IMERG_ERUnCal和IMERG_FRCal评估能力较强而华南雨区的各IMERG产品均表现不足的探测能力。V6B IMERG在台风期间的降水误差中仍然存在有限的估测能力。
Abstract:
Using the CMORPHGC data as the benchmark data, seven statistical indexes were used to compare and analyze the precipitation of V6B IMERG products in mainland China, South China and East China during Typhoon Mangkhut. The results show that (1) IMERG has better performance for typhoon heavy rainfall in southern China but shows a worse ability in estimating non-typhoon heavy rainfall in eastern China.(2) IMERG_FRCal outperforms other IMERG products in reflecting typhoon rainfall assessment. Among quasi-real-time products, the spatial precipitation assessment ability of IMERG_ERUnCal is better, while the temporal distribution characteristics of IMERG_LRUnCal and its estimation of rainfall caused by typhoon in East China are better.(3)IMERG mainly grasps precipitation detection when the rainfall rate is less than 5mm/h, but IMERG_ERUnCal and IMERG_FRCal show a strong evaluation capability when the rainfall rate is more than 30mm/h in mainland China and eastern China, while the IMERG products show an insufficient detection capability in the southern China. The latest version 6.0 IMERG products still have limitations in estimating precipitation errors during typhoon.

参考文献/References:

[1] Yang J, Li L, Zhao K, et al. A Comparative Study of Typhoon Hato (2017) and Typhoon Mangkhut (2018)-Their Impacts on Coastal Inundation in Macau[J]. Journal of Geophysical Research-Oceans, 2019,124(12):9590-9619.
[2] 中国水产频道. "风王"山竹2018年以来体积最大的台风!直径达1000公里以上,可把广东、海南全装进去[EB/OL]. http://www.fishfirst.cn/article.phpaid=105485.
[3] Hong Y, Hsu K-L, Sorooshian S, et al. Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system[J]. Journal of Applied Meteorology, 2004, 43(12):1834-1853.
[4] Joyce R J, Janowiak J E, Arkin P A, et al. CMORPH:A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution[J]. Journal of hydrometeorology, 2004, 5(3):487-503.
[5] Huffman G J, Bolvin D T, Nelkin E J, et al. The TRMM multisatellite precipitation analysis (TMPA):Quasi-global,multiyear, combined-sensor precipitation estimates at fine scales[J]. Journal of hydrometeorology, 2007, 8(1):38-55.
[6] Anjum M N, Ding Y, Shangguan D, et al. Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan[J]. Atmospheric Research, 2018, 205:134-146.
[7] Liu Z. Comparison of integrated multisatellite retrievals for GPM (IMERG) and TRMM multisatellite precipitation analysis (TMPA) monthly precipitation products:initial results[J]. Journal of Hydrometeorology, 2016, 17(3):777-790.
[8] Chen F, Li X. Evaluation of IMERG and TRMM 3B43 monthly precipitation products over mainland China[J]. Remote Sensing, 2016, 8(6):472.
[9] Tang G, Ma Y, Long D, et al. Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales[J]. Journal of hydrology, 2016, 533:152-167.
[10] Chen S, Hong Y, Cao Q, et al. Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan:Are remote-sensing products ready for gauge denial scenario of extreme events?[J]. Journal of Hydrology, 2013, 506:4-13.
[11] Omranian E, Sharif H O, Tavakoly A A. How well can global precipitation measurement (GPM) capture hurricanes? case study:Hurricane Harvey[J]. Remote Sensing, 2018, 10(7):1150.
[12] Huang C, Hu J, Chen S, et al. How Well Can IMERG Products Capture Typhoon Extreme Precipitation Events over Southern China?[J]. Remote Sensing, 2019,11(1):70.
[13] Sungmin O, Foelsche U, Kirchengast G, et al. Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria[J]. Hydrology Earth System Sciences, 2017, 21(12).
[14] Guo H, Chen S, Bao A, et al. Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China[J]. Atmosphere, 2015, 7(1):6.
[15] Chen S, Yang H, Cao Q, et al. Similarity and Difference of the Two Successive V6 and V7 TRMM Multi satellite Precipitation Analysis Performance over China[J]. Journal of Geophysical Research-atmospheres, 2013, 118(23):13060-13074.
[16] 巢清尘, 巢纪平. 影响中国及关键经济区热带气旋降水的气候趋势及极端性特征[J]. 大气科学学报, 2014(6):1029-1040.
[17] Shen Y, Zhao P, Pan Y, et al. A high spatiotemporal gauge-satellite merged precipitation analysis over China[J]. Journal of Geophysical Research:Atmospheres, 2014, 119(6):3063-3075.
[18] Huffman G J, Bolvin D T, Nelkin E J, et al. Integrated Multi-satellite Retrievals for GPM (IMERG) Technical Documentation[G]. NASA/GSFC, 2019:1-55.
[19] 肖柳斯, 张阿思, 闵超, 等. GPM卫星降水产品在台风极端降水过程的误差评估[J]. 高原气象, 2019, 38(5):993-1003.
[20] Zhang A, Xiao L, Min C, et al. Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event[J]. Atmospheric Research, 2019, 216:76-85.
[21] 中国天气网.专家解读台风山竹并非登陆广东最强台风[EB/OL].http://news.weather.com.cn/2018/09/2937054.shtml.
[22] Chen S, Hu J, Zhang A, et al. Performance of near real-time Global Satellite Mapping of Precipitation estimates during heavy precipitation events over northern China[J]. Theoretical Applied Climatology, 2018, 135(3-4):877-891.
[23] 王佳津, 陈朝平, 龙柯吉, 等. 四川区域暴雨过程中短时强降水时空分布特征[J]. 高原山地气象研究, 2015, 35(1):16-20.
[24] 陈汉清, 鹿德凯, 周泽慧, 等. GPM降水产品评估研究综述[J]. 水资源保护, 2019, 35(1):27-34.

相似文献/References:

[1]林宗桂,林 墨,林开平,等.一类降水过程多尺度天气系统结构特征[J].气象研究与应用,2014,35(03):1.
[2]谭敏玲,何如,罗红磊.近55年广西融水县降水气候特征分析[J].气象研究与应用,2014,35(03):27.
[3]陈锐,曹树荣,陆金凤,等.降水对接地电阻的影响[J].气象研究与应用,2014,35(04):117.
[4]陈伟斌,韩慎友,刘国忠.欧洲集合预报产品降水预报检验分析[J].气象研究与应用,2017,38(02):6.
　Chen Weibin,Han Shenyou,Liu Guozhong.Analysis on ensemble prediction products of the rainfall forecast verification[J].Journal of Meteorological Research and Application,2017,38(03):6.
[5]周慧僚,罗凤荣,莫惠晴.天峨县近30a降水与气温的气候特征分析[J].气象研究与应用,2017,38(02):38.
　Zhou Huiliao,Luo Fengrong,Mo Hui qing.Analysis on climatic characteristics of precipitation and temperature past 30a in Tiane[J].Journal of Meteorological Research and Application,2017,38(03):38.
[6]李妍君,陈耀登.台风“凡亚比”的诊断分析和数值模拟研究[J].气象研究与应用,2017,38(03):1.
　Li Yan-jun,Chen Yao-deng.Typhoon “Fanapi” diagnostic analysis and numerical simulation research[J].Journal of Meteorological Research and Application,2017,38(03):1.
[7]陆虹,覃卫坚,李艳兰,等.近40年广西石漠化地区气候变化特征分析[J].气象研究与应用,2015,36(01):6.
　LU Hong,QIN Weijian,LI Yanlan,et al.Analysis on Climate Variation Characteristics of Rocky Desertification Region of Guangxi in Recent 40 years[J].Journal of Meteorological Research and Application,2015,36(03):6.
[8]符晓虹,郑育群,羊清雯.天气系统与海南降水的关系研究[J].气象研究与应用,2015,36(01):10.
　Fu Xiaohong,Zheng Yuqun,Yang Qingwen.Relationship between the precipitation and weather systems in Hainan[J].Journal of Meteorological Research and Application,2015,36(03):10.
[9]陆甲,廖雪萍,李耀先.广西农业旱灾对气温降水的响应特征[J].气象研究与应用,2015,36(02):66.
　Lu Jia,Liao Xue-ping,Li Yao-xian.The Characteristics of the Agricultural Drought Response to precipitation and temperature in Guangxi[J].Journal of Meteorological Research and Application,2015,36(03):66.
[10]高宪权,莫丽霞.气候变化背景下桂东地区旱涝变化特征分析[J].气象研究与应用,2018,39(01):18.
　Gao Xianquan,Mo Lixia.Analysis of drought and flood characteristics of eastern Guangxi under the background of climate change[J].Journal of Meteorological Research and Application,2018,39(03):18.

备注/Memo

备注/Memo:
收稿日期:2019-12-18。
基金项目:国家自然科学基金项目（41875182）、广州科技局计划项目（201904010162）、中山大学"百人计划"项目（74110-18841203）、广西自然科学基金项目（2018JJA150110）、南宁师范大学高校高层次人才和教师素质提升（6020303890216）、广西自然科学基金项目（2018GXNSFAA050130）
作者简介:李晓俞(1996-),女,硕士研究生,研究方向:地图学与地理信息系统。E-mail:xiaoyuli610@gmail.com
通讯作者:陈生(1979-),男,广西北流人,教授,研究方向:遥感定量降水产品的不确定分析。E-mail:chensheng@mail.sysu.edu.cn
更新日期/Last Update: 1900-01-01