1. HYDRO- METEOROLOGICAL DATA MANAGEMENT SYSTEM IN VIETNAM Tran Dinh Trong Vietnam Institute of Meteorology, Hydrology and Environment INTERNATIONAL WORKSHOP ON THE DIGITIZATION OF HISTORICAL CLIMATE DATA, THE NEW SACA&D DATABASE AND CLIMATE ANALYSIS IN THE ASEAN REGION 02 -05 APRIL 2012 CTEKO, BOGOR, INDONESIA

2. CONTENTS 1. Introduction 2. Data Management System 3. Types of Climate Data 4. Applying Climate Information

3. 1. Introduction - Country position: Southeastern Asia, 8 o 27 to 23 o 23N and 102 o 08 to 109 o 30E -Area: 330,990 km 2 -The coastline length: 3,260 km - Climate: Tropical monsoon suffering from natural disasters such as typhoons, floods, drought,… which affected regularly to socio-economic development

4. 2. Data Management system

5. Chart of climate data processing and, archives, observation system

6. Hydro-meteorology Data Center  Data in Paper with leather cover 1880-1930: 52 surface meteorological stations run by French 1930-1955 : 211 surface meteorological stations 1956 – now: ~250 surface meteorological stations

7. Hydro-meteorology Data Center

8.  The data transmission process serving for hydro-meteorology forecasting

9. 3.1 Observation network - Meteorological Network was initially built in 1902 when the governor-general of Indochina made decision on establishment of the Central meteorology and magnetic field observatory (Phu Lieu observatory Hai Phong) in Indochina. From 54 meteorology stations and 56 hydrology stations in 1939 - up to 170 surface meteorology stations - 231 hydrology stations - 18 marine meteorology stations - 6 weather radar stations - 29 agricultural meteorology stations - 154 air and water environment observation stations/points - Many rainfall gauging points 3. Types of Climate Data

10. 3.2 Types of Climate data  Temperature, humidity, pressure, rainfall, sunny, wind, evaporation, and weather events  Agricultural meteorology data  Storm and weather radar observation events  Hydrology observation

11. 4. Applying Climate Information  Agriculture  Water Resources  Publish Health

12. For Agriculture 1.Total Effective Temperature 2.Total Effective Rainfall Amount 3.Total potential evaporation 4.Estimation of drought Conditions 5.Advantage Coefficient of climate condition

13. Estimation Models Inputs climate and climate prediction information/ catchment data 1. Multi variable Recurrent model Results/Estimations 2. WIN32NN Model Results/Estimation s 3. NSFM Model Results/Estimatio ns Applying information of climate and climate prediction on Water Resources 1)One/three months of Water flow One/three months of Water Discharge 2) Water flow of: three month in flooding/drying season 3) Minimum of Water flow in one/three months

14. Applying information of climate and climate prediction on Publish Health Climate Data 1. Relationship between climate/enviroment and Human Physical 2. For Publish health, tourist, recreation 3. For Controlling/preventing Dengue

15. Thank you for your attention