Regional GNSS-Derived SPCI: Verification and Improvement in Yunnan, China

Abstract

From the aspect of global drought monitoring, improving the regional drought monitoring method is becoming increasingly important for the sustainable development of regional agriculture and the economy. The standardized precipitation conversion index (SPCI) calculated by the Global Navigation Satellite System (GNSS) observation is a new means for drought monitoring that has the advantages of simple calculation and real-time monitoring. However, only SPCI with a 12-month scale has been verified on a global scale, while its capability and applicability for monitoring drought at a short time scale in regional areas have never been investigated. Therefore, this study aims to evaluate the performance of SPCI at other time scales in Yunnan, China, and propose an improved method for SPCI. The data of six GNSS stations were selected to calculate SPCI; the standardized precipitation evapotranspiration index (SPEI) and composite meteorological drought index (CI) are introduced to evaluate the SPCI at a short time scale in Yunnan Province. In addition, a modified CI (MCI) was proposed to calibrate the SPCI because of its large bias in Yunnan. Experimental results show that (1) SPCI exhibits better agreement with CI in Yunnan Province when compared to SPEI; (2) the capability of SPCI for drought monitoring is superior to that of SPEI in Yunnan; and (3) the improved SPCI is more suitable for drought monitoring in Yunnan, with a relative bias of 5.43% when compared to the MCI. These results provide a new means for regional drought monitoring in Yunnan, which is significant for dealing with drought disasters and formulating related disaster prevention and mitigation policies.

Investigating the Inter-Relationships among Multiple Atmospheric Variables and Their Responses to Precipitation

“…Target event. The target meteorological events in previous studies vary greatly [39][40][41], while in this study, we only focus on precipitation. In addition, to obtain some findings about precipitation of different intensities, the observed precipitation amount record is classified into the three intensities of slight, moderate and heavy precipitation according to the hourly amount.…”

Using the Global Navigation Satellite System and Precipitation Data to Establish the Propagation Characteristics of Meteorological and Hydrological Drought in Yunnan, China

“…In addition, we also analyzed SPCI1 and SPI1 for correlation analysis; all PCCs exceeded 0.95 with a mean of 0.97 (Figure S5b in Supporting Information ). This indicates that SPCI1 is reliable for characterizing meteorological droughts (Ma et al., 2021). As shown in Figure 8c, meteorological drought events characterized by SPCI1 usually correspond to SPI1, but there are some differences in duration and degree.…”

Characterizing extreme drought and wetness in Guangdong, China using global navigation satellite system and precipitation data

“…Previous research has consistently demonstrated that higher PE values indicate a more efficient conversion of precipitation, resulting in wetter regions. Conversely, the areas with lower PE values tend to experience drier conditions (e.g., Ma et al, 2021;Zhu, Chen, Hu, Liu, et al, 2023)…”