Satellite precipitation estimates

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.

12p vishekhar 01-11-2023 4 1   Download

On 9 December 2018, a heavy rainfall event occurred in central Viet Nam, and at Da Nang, a record–breaking rainfall of 972 mm was observed in 24 hours. The operational precipitation analysis at the Viet Nam Meteorological and Hydrological Administration (VNMHA) on the day considerably underestimated the intense rains. We checked causes of underestimation and modified the precipitation analysis by revising the use of observation data from Automated Weather Stations (AWS) and meteorological radar data.

15p cothumenhmong8 05-11-2020 8 2   Download

The GSMaP Rainfall (Global Satellite Mapping of Precipitation) data (GSMaP_NOW and GSMaP_MVK) have been used for precipitation analysis at Vietnamese National Center for Hydro–Meteorological Forecasting (NCHMF) since October 2019. This study verified the quality of rainfall estimates of GSMaP_NOW, GSMaP _MVK and Himawari–8 based on 6 hourly rain gauge data from 184 SYNOP stations for a 4–month period from October 2019 to January 2020.

15p cothumenhmong8 05-11-2020 16 2   Download

Satellite based precipitation product (GSMaP-MVK) can be reliably used to estimate the Areal Mean Precipitation error based on “Sample Design method” (Esdd) with the effort to mitigate the problem of sparse data, especially severe in poorly gauged river basins. In addition, the satellite-gauge merging precipitation would reduce significantly the magnitude gaps between the satellite rainfall estimations and the rain gauge data.

10p vinobita2711 31-05-2019 8 0   Download