Real-time monitoring of quantitative precipitation distribution is essential to prevent natural disasters caused by heavy rainfall. Precipitation distribution by rain gauge network or combined with radar/satellite data is operationally used in Viet Nam. Previously, meteorological radar data was simply converted to precipitation amount by using simple Z-R relationship. In order to get the accurate quantitative precipitation estimation (QPE) data, converted precipitation amount from radar should be corrected by rain gauge data. In the ongoing JICA technical cooperation project, preliminary development of the QPE product has been conducted by utilizing the data from the automatic rain gauge network and meteorological radar network in Viet Nam. The fundamental part of this QPE algorithm has been used and updated in Japan Meteorological Agency (JMA) for more than 25 years. This is the first attempt to get quantitative precipitation distribution with precise resolution by combining radar and rain gauge data in Viet Nam. This paper describes each process to introduce this QPE method to Viet Nam and indicates some preliminary results. Several issues to improve its accuracy is also proposed.
This study used observed data of maximum daily temperature (Tx) and average daily temperature (T2m) from 48 meteorological stations to investigate hot (SU35, Tx≥35 ºC), severe hot (SU37, Tx≥37 ºC), cold (FD15, T2m≤15 ºC), and severe cold (FD13, T2m≤13 ºC) events in Northern Vietnam from 1961 to 2018. Trends and frequency characteristics of SU35, SU37, FD15, and FD13 were calculated and discussed. Results showed a significant increase in the number of hot and severe hot days, while there was a notable decrease in the number of cold and severe cold days in the northern region of Vietnam. The North Central region experienced the highest increase in the number of severe hot days, ranging from 2 to 5 days per decade. In contrast, the Northwest and Northeast regions had the highest decline in the number of cold days, with a rate of 3.5 to 4.5 days per decade for cold and 1 to 3 days per decade for severe cold days. The return values of Tx for the SU35 and SU37 thresholds for 10-year and 50-year return periods exceeded 41 ºC in the Northern Delta and North Central regions, which was higher than other regions (37–40 ºC). Meanwhile, the return values of T2m for the FD15 and FD13 thresholds were the lowest in the Northeast, typically ranging from 3 to 7 ºC for a 50-year return period. These results highlight the necessity of planning adaptation measures to address changes in hot and cold extreme events, particularly in the key industrial areas of Northern Vietnam, in the context of climate change. Keywords: Climate change, extreme hot and cold events, generalized Pareto distribution, trend analysis.
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