Journal of Arid Meteorology ›› 2023, Vol. 41 ›› Issue (5): 677-687.DOI: 10.11755/j.issn.1006-7639(2023)-05-0677
• Articles • Previous Articles Next Articles
ZHU Li(), LYU Xiaoyu, GUO Hao(
), MENG Xiangchen, TIAN Yunfei
Received:
2022-09-09
Revised:
2022-11-05
Online:
2023-10-31
Published:
2023-11-03
通讯作者:
郭浩(1989—),男,山东蒙阴人,副教授,主要从事干旱监测、遥感降水定量反演等研究。E-mail:作者简介:
朱丽(1990—),女,江西赣州人,硕士,主要从事气象灾害与生态反馈相关研究。E-mail:zhuli@qfnu.edu.cn。
基金资助:
CLC Number:
ZHU Li, LYU Xiaoyu, GUO Hao, MENG Xiangchen, TIAN Yunfei. Suitability study of ERA5-Land precipitation product for drought monitoring in the Yellow River Basin[J]. Journal of Arid Meteorology, 2023, 41(5): 677-687.
朱丽, 吕潇雨, 郭浩, 孟翔晨, 田芸菲. ERA5-Land降水产品在黄河流域干旱监测中的适用性研究[J]. 干旱气象, 2023, 41(5): 677-687.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.ghqx.org.cn/EN/10.11755/j.issn.1006-7639(2023)-05-0677
SPI | 干旱等级 |
---|---|
SPI≥2.0 | 极端湿润 |
1.5≤SPI<2.0 | 严重湿润 |
1.0≤SPI<1.5 | 中度湿润 |
0.0≤SPI<1.0 | 轻微湿润 |
-1.0≤SPI<0.0 | 轻微干旱 |
-1.5≤SPI<-1.0 | 中度干旱 |
-2.0≤SPI<-1.5 | 严重干旱 |
SPI<-2.0 | 极端干旱 |
Tab.1 The classification of drought grades based on standardized precipitation index
SPI | 干旱等级 |
---|---|
SPI≥2.0 | 极端湿润 |
1.5≤SPI<2.0 | 严重湿润 |
1.0≤SPI<1.5 | 中度湿润 |
0.0≤SPI<1.0 | 轻微湿润 |
-1.0≤SPI<0.0 | 轻微干旱 |
-1.5≤SPI<-1.0 | 中度干旱 |
-2.0≤SPI<-1.5 | 严重干旱 |
SPI<-2.0 | 极端干旱 |
Fig.3 The spatial distribution of multiyear mean monthly precipitation of CPAP (a) and ERA5-Land precipitation products (b) in the Yellow River Basin during 1981-2020 (Unit: mm)
Fig.5 The scatterplots of multiyear mean monthly precipitation between CPAP and ERA5-Land precipitation products in different areas of the Yellow River Basin during 1981-2020 (a) the whole basin, (b) the upper reaches, (c) the middle reaches, (d) the lower reaches
Fig.6 The monthly variations of mean precipitation in different areas of the Yellow River Basin of CPAP and ERA5-Land during 1981-2020 (a) the whole basin, (b) the upper reaches, (c) the middle reaches, (d) the lower reaches
Fig.7 The comparison of regional mean SPI with different time scales in the Yellow River Basin during 1981-2020 (a) SPI1, (b) SPI3, (c) SPI6, (d) SPI12
Fig.8 The spatial distribution of drought frequency (a, b, Unit: times), average drought duration (c, d, Unit: month number), average drought severity (e, f) and average drought intensity (g, h) based on CPAP and ERA5-Land precipitation products in the Yellow River Basin during 1981-2020
事件 | 起止时间 | 峰值月份 | 干旱历时/月 | 烈度 | 峰值 | 严重度 |
---|---|---|---|---|---|---|
D1 | 1986年7月至1987年4月 | 1986年11月 | 10 | 0.52 | 1.23 | 5.19 |
D2 | 1995年3—7月 | 1995年5月 | 5 | 1.15 | 1.64 | 5.75 |
D3 | 1998年9月至1999年6月 | 1999年2月 | 10 | 0.88 | 2.27 | 8.81 |
D4 | 2013年2—5月 | 2013年3月 | 4 | 0.70 | 1.41 | 2.79 |
Tab.2 Characteristics of typical drought events in the Yellow River Basin from 1986 to 2013
事件 | 起止时间 | 峰值月份 | 干旱历时/月 | 烈度 | 峰值 | 严重度 |
---|---|---|---|---|---|---|
D1 | 1986年7月至1987年4月 | 1986年11月 | 10 | 0.52 | 1.23 | 5.19 |
D2 | 1995年3—7月 | 1995年5月 | 5 | 1.15 | 1.64 | 5.75 |
D3 | 1998年9月至1999年6月 | 1999年2月 | 10 | 0.88 | 2.27 | 8.81 |
D4 | 2013年2—5月 | 2013年3月 | 4 | 0.70 | 1.41 | 2.79 |
Fig. 9 The spatial distribution of drought with different grades based on CPAP (a, c, e, g) and ERA5-Land precipitation products (b, d, f, h) in the Yellow River Basin in November 1986 (a, b), May 1995 (c, d), February 1999 (e, f) and March 2013 (g, h)
事件 | 峰值月份 | 无干旱 | 轻微干旱 | 中度干旱 | 重度干旱 | 极端干旱 | |
---|---|---|---|---|---|---|---|
CPAP | D1 | 1986年11月 | 5 | 30 | 29 | 26 | 9 |
D2 | 1995年5月 | 5 | 12 | 24 | 23 | 36 | |
D3 | 1999年2月 | 2 | 13 | 16 | 11 | 58 | |
D4 | 2013年3月 | 1 | 21 | 34 | 31 | 12 | |
ERA5-Land | D1 | 1986年11月 | 3 | 32 | 39 | 21 | 5 |
D2 | 1995年5月 | 10 | 25 | 27 | 22 | 16 | |
D3 | 1999年2月 | 16 | 13 | 10 | 20 | 41 | |
D4 | 2013年3月 | 1 | 6 | 25 | 37 | 31 |
Tab.3
事件 | 峰值月份 | 无干旱 | 轻微干旱 | 中度干旱 | 重度干旱 | 极端干旱 | |
---|---|---|---|---|---|---|---|
CPAP | D1 | 1986年11月 | 5 | 30 | 29 | 26 | 9 |
D2 | 1995年5月 | 5 | 12 | 24 | 23 | 36 | |
D3 | 1999年2月 | 2 | 13 | 16 | 11 | 58 | |
D4 | 2013年3月 | 1 | 21 | 34 | 31 | 12 | |
ERA5-Land | D1 | 1986年11月 | 3 | 32 | 39 | 21 | 5 |
D2 | 1995年5月 | 10 | 25 | 27 | 22 | 16 | |
D3 | 1999年2月 | 16 | 13 | 10 | 20 | 41 | |
D4 | 2013年3月 | 1 | 6 | 25 | 37 | 31 |
[1] | 侯琼, 苗百岭, 王英舜, 等, 2020. 水分胁迫对半干旱典型草原土壤水分变化特征的影响[J]. 干旱气象, 38(6): 987-993. |
[2] | 刘婷婷, 朱秀芳, 郭锐, 等, 2022. ERA5再分析降水数据在中国的适用性分析[J]. 干旱区地理, 45(1): 66-79. |
[3] | 吕润清, 李响, 2021. ERA-Interim和ERA5再分析数据在江苏区域的适用性对比研究[J]. 海洋预报, 38(4): 27-37. |
[4] | 史尚渝, 王飞, 金凯, 等, 2020. 黄土高原地区植被指数对干旱变化的响应[J]. 干旱气象, 38(1): 1-13. |
[5] | 孙赫, 苏凤阁, 黄敬恒, 等, 2020. 第三极西风和季风主导流域源区降水呈现不同梯度特征[J]. 科学通报, 65(01): 91-104. |
[6] | 孙永军, 2008. 黄河流域湿地遥感动态监测研究[D]. 北京: 北京大学. |
[7] | 唐梅英, 张权, 姚帅, 等, 2022. 黄河干流水风光一体化能源综合开发研究[J]. 人民黄河, 44(6): 6-10+33. |
[8] |
王莺, 张强, 王劲松, 等, 2022. 21世纪以来干旱研究的若干新进展与展望[J]. 干旱气象, 40(4): 549-566.
DOI |
[9] |
王俊杰, 拾兵, 柏涛, 等, 2022. 黄河流域降水格局及影响因素[J]. 中国沙漠, 42(6): 94-102.
DOI |
[10] |
杨丽杰, 曹彦超, 刘维成, 等, 2022. 陇东黄土高原旱区短时强降水的时空分布特征及地形影响研究[J]. 干旱气象, 40(6): 945-953.
DOI |
[11] | 张卓群, 冯冬发, 侯宇恒, 2022. 基于Copula函数的黄河流域干旱特征研究[J]. 干旱区资源与环境, 36(1): 66-72. |
[12] |
张海耀, 黄玉霞, 吴辉彦, 等, 2022. 黄土高原复杂地形区两次冰雹天气过程对比分析[J]. 干旱气象, 40(4): 646-655.
DOI |
[13] | 张翔, 韦燕芳, 李思宇, 等, 2021. 从干旱灾害到干旱灾害链:进展与挑战[J]. 干旱气象, 39(6): 873-883. |
[14] | 周帅, 王义民, 畅建霞, 等, 2019. 黄河流域干旱时空演变的空间格局研究[J]. 水利学报, 50(10): 1 231-1 241. |
[15] | AMJAD M, YILMAZ MT, YUCEL I, et al, 2020. Performance evaluation of satellite-and model-based precipitation products over varying climate and complex topography[J]. Journal of Hydrology, 584, 124707. DOI: 10.1016/j.jhydrol.2020.124707. |
[16] | BACHMAIR S, TANGUY M, HANNAFORD J, et al, 2018. How well do meteorological indicators represent agricultural and forest drought across Europe?[J]. Environmental Research Letters, 13(3), 034042. DOI: 10.1088/1748-9326/aaafda. |
[17] | GUO H, CHEN S, BAO A, et al, 2016. Early assessment of integrated multi-satellite retrievals for global precipitation measurement over China[J]. Atmospheric Research, 176: 121-133. |
[18] |
GUO H, BAO A, LIU T, et al, 2017. Meteorological drought analysis in the lower Mekong basin using satellite-based long-term CHIRPS product[J]. Sustainability, 9(6): 901-922.
DOI URL |
[19] |
GUO H, LI M, NZABARINDA V, et al, 2022. Assessment of three long-term satellite-based precipitation estimates against ground observations for drought characterization in northwestern China[J]. Remote Sensing, 14(4): 828-849.
DOI URL |
[20] | JIAO D, XU N, YANG F, et al, 2021. Evaluation of spatial-temporal variation performance of ERA5 precipitation data in China[J]. Scientific Reports, 11, 17956, DOI: 10.1038/s41598-021-97432-y. |
[21] | JIANG Q, LI W, FAN Z, et al, 2021. Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland[J]. Journal of Hydrology, 595, 125660. DOI: 10.1016/j.jhydrol.2020.125660. |
[22] | KHANAL S, LUTZ AF, KRAAIJENBRINK PDA, et al, 2021. Variable 21st century climate change response for rivers in high mountain Asia at seasonal to decadal time scales[J]. Water Resources Research, 57(5): 1-26. |
[23] | KOLLURU V, KOLLURU S, KONKATHI P, 2020. Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India[J]. Atmospheric Research, 246, 105121. DOI: 10.1016/j.atmosres.2020.105121. |
[24] | MCKEE T B, DOESKEN N J, KLEIST J, 1993. The relationship of drought frequency and duration to time scales[C]// Eighth Conference on Applied Climatology. Anaheim, California: 17-22. |
[25] | MUOZ-SABATER J, DUTRA E, AGUSTÍ-PANAREDA A, et al, 2021. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications[J]. Earth System Science Data, 13(9): 4 349-4 383. |
[26] |
SHARIFI E, EITZINGER J, DORIGO W, 2019. Performance of the state-of-the-art gridded precipitation products over mountainous terrain: a regional study over Austria[J]. Remote Sensing, 11(17):1-20.
DOI URL |
[27] | SHEN Y, XIONG A, WANG Y, et al, 2010. Performance of high-resolution satellite precipitation products over China[J]. Journal of Geophysical Research, 115(D2): 1-17. |
[28] |
WANG Q, WU J, LEI T, et al, 2014. Temporal-spatial characteristics of severe drought events and their impact on agriculture on a global scale[J]. Quaternary International, 349: 10-21.
DOI URL |
[29] | YAN S, MINGNONG F, HONGZHENG Z, et al, 2010. Interpolation methods of China daily precipitation data[J]. Journal of Applied Meteorological Science, 21(3): 279-286. |
[30] | YU R, ZHAI P, 2020. More frequent and widespread persistent compound drought and heat event observed in China[J]. Scientific Reports, 10(1), 14576. DOI: 10.1038/s41598-020-71312-3. |
[31] |
ZARCH MAA, SIVAKUMAR B, SHARMA A, 2015. Droughts in a warming climate: a global assessment of standardized precipitation index (SPI) and reconnaissance drought index (RDI)[J]. Journal of Hydrology, 526: 183-195.
DOI URL |
[32] |
ZHANG Q, KONG D D, SINGH V P, et al, 2017. Response of vegetation to different time-scales drought across China: spatiotemporal patterns, causes and implications[J]. Global and Planetary Change, 152: 1-11.
DOI URL |
[33] | ZHANG Y, MAO G, CHEN C, et al, 2021. Population exposure to compound droughts and heatwaves in the observations and ERA5 reanalysis data in the Gan River Basin, China[J]. Land, 10(10), 1021. DOI: 10.3390/land10101021. |
[1] |
WANG Yicheng, LIU Weicheng, SONG Xingyu, ZHANG Wenguang.
Applicability evaluation of satellite-derived precipitation products in the torrential heavy rainfall event in East Gansu in July 2022
[J]. Journal of Arid Meteorology, 2023, 41(6): 997-1007.
|
[2] | DONG Zhulei, ZHAO Yanli, FENG Xiaojing, LIU Shimeng. Applicability assessment of CLDAS temperature and precipitation products in Inner Mongolia [J]. Journal of Arid Meteorology, 2023, 41(5): 811-819. |
[3] | YANG Yang, WANG Lijuan, HUANG Xiaoyan, QI Yue, XIE Rui. Analysis on spatio-temporal variation of evapotranspiration in the Yellow River Basin based on ERA5-Land products [J]. Journal of Arid Meteorology, 2023, 41(3): 390-402. |
[4] | LI Hui, ZHENG Xucheng, SU Lijuan, XIN Yue, ZHANG Jie. Statistical analysis of cloud macrophysical characteristics in the Inner Mongolia section of the Yellow River Basin based on millimeter-wave cloud radar [J]. Journal of Arid Meteorology, 2023, 41(3): 434-441. |
[5] | ZHAO Hong, CAI Dihua, WANG Heling, YANG Yang, WANG Runyuan, ZHANG Kai, QI Yue, ZHAO Funian, CHEN Fei, YUE Ping, WANG Xing, YAO Yubi, LEI Jun, WEI Xingxing. Progress and prospect on impact of drought disaster on food security and its countermeasures [J]. Journal of Arid Meteorology, 2023, 41(2): 187-206. |
[6] | MA Yang, CUI Yang, ZHANG Wen, LI Xin. Projection of the future temperature changes of Yellow River Basin Ningxia section based on CMIP6 models [J]. Journal of Arid Meteorology, 2023, 41(1): 43-53. |
[7] | WANG Ying, ZHANG Qiang, WANG Jinsong, HAN Lanying, WANG Suping, ZHANG Liang, YAO Yubi, HAO Xiaocui, WANG Sheng. New progress and prospect of drought research since the 21st century [J]. Journal of Arid Meteorology, 2022, 40(4): 549-566. |
[8] | FAN Sirui, WANG Weijia, CHEN Yonghang. Relationship between the clouds and precipitation over southern China based on ISCCP and CMORPH-AWS data [J]. Journal of Arid Meteorology, 2022, 40(4): 613-623. |
[9] | HU Die, SHA Sha, WANG Lijuan, WANG Wei. Drought Monitoring Applications of the European Space Agency Climate Change Initiative Soil Moisture Combined Product in Gansu Province [J]. Journal of Arid Meteorology, 2019, 37(4): 517-528. |
[10] | WANG Siqi, ZHANG Xiang, CHEN Nengcheng, ZHOU Jiaxiang, HU Chuli, PENG Xiaoting. Monitoring and Comparison of Drought in Five Provinces of the Middle and Lower Reaches of the Yangtze River Based on the Multiple Drought Indices [J]. Journal of Arid Meteorology, 2019, 37(2): 209-217. |
[11] | LIU Kai, SUN Li, SUN Haiyue, XUE Wanqing, ZHAI Guanghui. Drought Monitoring in Winter Wheat Planting Area of China Based on FY-3C Microwave Data [J]. Journal of Arid Meteorology, 2017, 35(6): 918-925. |
[12] | . Drought Monitoring Based on TRMM Precipitation Data in Gansu Province [J]. Journal of Arid Meteorology, 2017, 35(3): 374-. |
[13] | CAO Zhangchi,SHEN Runping,TIAN Ye,LI Feng. Research on Soil Moisture Monitoring Using MODIS Data During the Drought/Wet Conversion Period in Shandong Province [J]. Journal of Arid Meteorology, 2014, 32(3): 340-345. |
[14] | WANG Xiao-Beng, ZHANG Mou-Cao, GUO Hai-Yang, WANG Ning-Zhen, HUANG Bin. A Test on the Monitoring of Soil Moisture with CE312 Infrared and CE313 Visible and Near Infrared Radiometers [J]. J4, 2005, 23(4): 57-60. |
[15] | WANG Xiao-Beng, GUO Ni. Some Research Advances and Methods on Drought Monitoring By Remote Sensing [J]. J4, 2003, 21(4): 76-81. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
©2018 Journal of Arid Meteorology
Tel: 0931-2402270、0931-2402775 Email:ghqx@iamcma.cn、ghs_ghqx@sina.com