A novel regional drought monitoring method using GNSS-derived ZTD and precipitation

• Published in: Remote sensing of environment 2023-11, Vol.297, p.113778, Article 113778
• Main Authors: Zhao, Qingzhi, Liu, Kang, Sun, Tingting, Yao, Yibin, Li, Zufeng
• Format: Article
• Language: English
• Subjects: Global navigation satellite system; Precipitation; Regional precipitation and ZTD index; Zenith troposphere delay
• ISSN: 0034-4257; 1879-0704
• DOI: 10.1016/j.rse.2023.113778

The drought monitoring indexes, such as SPEI and SPCI, have been proposed previously. However, these indexes are established at specific station and unsuitable to evaluate the regional drought, which becomes the focus of this study. A novel drought monitoring method using the zenith troposphere delay (ZTD) derived from global navigation satellite system (GNSS) and precipitation is proposed, and a new index, which is named regional precipitation and ZTD index (RPZI), is established. The station-based precipitation and ZTD index (PZI) is first proposed by considering the data selection, expression, multi-time scale and standardization. The RPZI is then calculated by using the Thiessen Polygon method to determine the weighting of each station in the located area. The proposed PZI is first validated in 8 climatic regions of China over the period of 2006–2018 at 801 metrological stations. The RPZI is further evaluated in arid, semiarid, humid, and semi humid areas of China over the period of 2006–2018 and Townsville, Queensland in Australia over the period of 1998–2018, respectively. Comparison results show that the proposed RPZI has a good consistency with the regional precipitation smoothing index (RPSI) when compared with station-based SPEI, station-based PZI, and regional SPEI (RSPEI), and the correlation coefficient is the highest between the RPZI and RPSI with values of 0.81, 0.90, 0.93, and 0.85 in four areas of China, and the corresponding value reaches 0.964 in Queensland, Australia. Such results show the good capacity of the proposed RPZI for regional drought monitoring, which is of great importance for global drought disaster prevention. •A novel index (RPZI) is proposed using GNSS-derived ZTD and precipitation.•RPZI considers the influences of data, expression, time scale and standardization.•The capacity of RPZI is evaluated in China and Australia, respectively.•Proposed RPZI is of ability to well reflect the regional drought condition.