Preprints
https://doi.org/10.5194/egusphere-2022-1344
https://doi.org/10.5194/egusphere-2022-1344
 
15 Dec 2022
15 Dec 2022
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

The use of ground-based GNSS for atmospheric water vapour variation study in Papua New Guinea and its response to ENSO events

Ansaldi Senat1, Yidong Lou2, Weixing Zhang2, Jingna Bai2, and Chuang Shi3 Ansaldi Senat et al.
  • 1State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
  • 2Global Navigation Satellite Systems Research Center, Wuhan University, Wuhan, China
  • 3School of Electronic and Information Engineering, Beishan University, Beijing, China

Abstract. The spatial and temporal variability distribution of atmospheric water vapour in Papua New Guinea region is investigated using three ground-based GNSS station datasets and are compared with radiosonde data and the ERA-Interim reanalysis to generate the atmospheric precipitable water vapour (PWV) products over PNG from 2000 to 2019. From this product, PWV variations on multiple timescales are studied, with the water vapour products of GNSS and ERA-Interim in good agreement with their large-scale changes, which is reflective of the large-scale water vapour transport. At daily periods, the diurnal amplitudes of GNSS is larger at the mainland station (3.5 mm) than the two island stations (1–1.8 mm). The ERA-Interim amplitudes are smaller than GNSS on a daily basis, and do not capture the diurnal phases correctly. The estimated long-term PWV linear trends are predominantly positive and statistically significant which is in agreement in sign to the increase in moisture expected by the Clausius-Clapeyron equation under the background of global temperature rise. In addition, the regional impact of PWV in PNG in response to the El Niño- Southern Oscillation events are analysed using a correlation analysis, focusing on the dynamic influence of the large-scale nature of the 2010–2012 Bimodal La Niña and 2015–2016 El Niño events. The sea surface temperature anomaly in the Niño 3.4 and Niño 4 regions are selected to describe these two events. Both events portray overall negative correlation characteristics at the three GNSS stations with stations PNGM and RVO_ showing the strongest correlation during the 2010–2011 La Niña event significant at a 99 % confidence level.

Ansaldi Senat et al.

Status: open (until 02 Mar 2023)

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Ansaldi Senat et al.

Ansaldi Senat et al.

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Short summary
The water vapour product over the Papua New Guinea region between 2000–2019 is generated using three ground-based GNSS sites, radiosonde stations and the numerical weather product of ERA-Interim reanalysis. Comparative analysis of water vapour variability reveal patterns at multiple timescales, with generally good agreement in trend signs. Strong ENSO events also display impacts over the region through the perspective of atmospheric water vapour.