Abstract

Extremely heavy precipitation affects human society and the natural environment, and its behaviour under a warming climate needs to be elucidated. Recent studies have demonstrated that observed extreme precipitation increases with surface air temperature (SAT) at approximately the Clausius–Clapeyron (CC) rate, suggesting that atmospheric water vapour content can explain the relationship between extreme precipitation and SAT. However, the relationship between atmospheric water vapour content and SAT is poorly understood due to the lack of reliable observations with sufficient spatial and temporal coverage for statistical analyses. Here, we analyse the relationship between atmospheric water vapour content and SAT using precipitable water vapour (PWV) derived from global positioning system satellites. A super-CC rate appears in hourly PWV when the SAT is below 16 °C, whereas the rate decreases at high SAT, which is different from the precipitation-SAT relationship. The effects of upper air temperature and water vapour can consistently explain the super-CC rate of PWV relative to SAT. The difference between moist and dry adiabatic lapse rates increases with SAT, in consequence of more ability to hold water vapour in the free atmosphere under higher SAT conditions; therefore, attainable PWV increases more rapidly than the CC rate as SAT increases.

Highlights

  • Many disasters related to extremely heavy precipitation have been reported throughout the worldwide[1]

  • Relationships between extreme precipitation intensity, which is typically defined as a certain high threshold percentile, and surface air temperature (SAT) have been investigated in both mid-latitude regions[4,5,6,7,8,9,10,11] and tropical regions[12, 13]

  • The 99th percentile precipitable water vapour (PWV) increases with super-CC rate, which is larger than the CC rate but less than two times the CC rate, for SAT below 14 °C

Read more

Summary

Pacific Ocean

The atmospheric moisture profile associated with intense precipitation is highly dependent on cumulus and microphysics schemes. Difficulties in obtaining a dataset of atmospheric water vapour content with high spatial and temporal coverage have been the major impediment to understanding the vertical structure. We use precipitable water vapour (PWV), which is the vertically integrated water vapour mixing ratio, derived from global positioning system (GPS) data archives for the 15 years from 1996 to 2010 to describe a relationship between tropospheric water vapour content and SAT. The GPS-derived PWV data enable sub-hourly estimations of PWV (see Methods) with high spatial density over Japan at ~20 km intervals (Fig. 1)

Results and Discussion
Methods
Additional Information
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call