MMM SEMINAR NCAR
Analysis of the PWV data
from the ground-based GPS network in the Yangtze River Delta and its
application to weather forecast and climate analysis.
Jincai Ding
Shanghai Meteorological
Bureau
Shanghai, China
Abstract
With an effort to enhance water vapor measurement for weather forecasting and
climate analysis, a network of ground-based GPS receivers was established over
the Yangtze River Delta in China. We first performed an analysis of water vapor
variations over the past few years. Through long term monitoring of
precipitable water vapor (PWV), we found distinct features and seasonal
variations in the PWV data. The four
seasons in the Yangtze River Delta area can be redefined based on water vapor
variations. The GPS water vapor data also revealed interesting characteristics
associated with seasonal transition. These features were used to diagnose the
seasonal transformation of Mei-Yu (e.g., plum rain) and autumn season over the
past three years. The PWV data from the ground-based GPS network is also used
in forecast application. We first performed a statistical analysis of PWV data
over a 19-month period. Based on this statistics, we developed thresholds for
forecasting the on-set of precipitation. Results from real-time application in
2004 showed some success.
Thursday, 3 February 2005,
3:30 PM
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