Hydrological drought measurement using GRACE terrestrial water storage anomaly

Aihong Cui; Jianfeng LI; Qiming ZHOU; Guofeng Wu; Qingquan Li

doi:10.1109/IGARSS.2019.8898939

Hydrological drought measurement using GRACE terrestrial water storage anomaly

Aihong Cui
, Jianfeng LI
, Qiming ZHOU^*
, Guofeng Wu
, Qingquan Li

^*Corresponding author for this work

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

Abstract

Hydrological drought is a global issue that many countries face. In this paper, we present a new hydrological index (SGI) based on the Gravity Recovery and Climate Experiment (GRACE) product. For comparison, we compare it with the documented drought in July 2010 and calculate the correlation coefficient between it and the standardized precipitation index (SPI). The result shows the new index can reflect spatiotemporal distribution of dryness and wetness, and it has good agreement with SPI in different time scales, and the new index can be used in the hydrological drought measurement in the global scale.

Original language	English
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Publisher	IEEE
Pages	9914-9917
Number of pages	4
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8898939
Publication status	Published - Jul 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 https://igarss2019.org/ https://igarss2019.org/TechnicalProgram.asp https://ieeexplore.ieee.org/xpl/conhome/8891871/proceeding

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19
Internet address	https://igarss2019.org/ https://igarss2019.org/TechnicalProgram.asp https://ieeexplore.ieee.org/xpl/conhome/8891871/proceeding

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

User-Defined Keywords

correlation coefficient
hydrological drought measurement
SGI
SPI

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10.1109/IGARSS.2019.8898939

Cite this

Cui, A., LI, J., ZHOU, Q., Wu, G., & Li, Q. (2019). Hydrological drought measurement using GRACE terrestrial water storage anomaly. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 9914-9917). Article 8898939 (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2019.8898939

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title = "Hydrological drought measurement using GRACE terrestrial water storage anomaly",

abstract = "Hydrological drought is a global issue that many countries face. In this paper, we present a new hydrological index (SGI) based on the Gravity Recovery and Climate Experiment (GRACE) product. For comparison, we compare it with the documented drought in July 2010 and calculate the correlation coefficient between it and the standardized precipitation index (SPI). The result shows the new index can reflect spatiotemporal distribution of dryness and wetness, and it has good agreement with SPI in different time scales, and the new index can be used in the hydrological drought measurement in the global scale.",

keywords = "correlation coefficient, hydrological drought measurement, SGI, SPI",

author = "Aihong Cui and Jianfeng LI and Qiming ZHOU and Guofeng Wu and Qingquan Li",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

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doi = "10.1109/IGARSS.2019.8898939",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",

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Cui, A, LI, J, ZHOU, Q, Wu, G & Li, Q 2019, Hydrological drought measurement using GRACE terrestrial water storage anomaly. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings., 8898939, International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, pp. 9914-9917, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8898939

Hydrological drought measurement using GRACE terrestrial water storage anomaly. / Cui, Aihong; LI, Jianfeng; ZHOU, Qiming et al.
2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. IEEE, 2019. p. 9914-9917 8898939 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Hydrological drought measurement using GRACE terrestrial water storage anomaly

AU - Cui, Aihong

AU - LI, Jianfeng

AU - ZHOU, Qiming

AU - Wu, Guofeng

AU - Li, Qingquan

PY - 2019/7

Y1 - 2019/7

N2 - Hydrological drought is a global issue that many countries face. In this paper, we present a new hydrological index (SGI) based on the Gravity Recovery and Climate Experiment (GRACE) product. For comparison, we compare it with the documented drought in July 2010 and calculate the correlation coefficient between it and the standardized precipitation index (SPI). The result shows the new index can reflect spatiotemporal distribution of dryness and wetness, and it has good agreement with SPI in different time scales, and the new index can be used in the hydrological drought measurement in the global scale.

AB - Hydrological drought is a global issue that many countries face. In this paper, we present a new hydrological index (SGI) based on the Gravity Recovery and Climate Experiment (GRACE) product. For comparison, we compare it with the documented drought in July 2010 and calculate the correlation coefficient between it and the standardized precipitation index (SPI). The result shows the new index can reflect spatiotemporal distribution of dryness and wetness, and it has good agreement with SPI in different time scales, and the new index can be used in the hydrological drought measurement in the global scale.

KW - correlation coefficient

KW - hydrological drought measurement

KW - SGI

KW - SPI

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ER -

Hydrological drought measurement using GRACE terrestrial water storage anomaly

Abstract

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UN SDGs

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