Transcript Hydro-Meteorological data management system in Vietnam

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
HYDRO- METEOROLOGICAL DATA MANAGEMENT
SYSTEM IN VIETNAM
Tran Dinh Trong
Vietnam Institute of Meteorology,
Hydrology and Environment
CONTENTS
1. Introduction
2. Data Management System
3. Types of Climate Data
4. Applying Climate Information
1. Introduction
- Country position: Southeastern Asia,
8o27 to 23o23N and 102o08 to 109o30E
-Area:
330,990 km2
-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
2. Data Management system
Chart of climate data processing and, archives, observation system
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
Hydro-meteorology Data Center
 The data transmission process serving
for hydro-meteorology forecasting
Observation network
(Observed Data)
64 Provincial Hydro-Meteorological Centers
(for provincial forecasting)
9 Regional Hydro-Meteorological Centers
(for regional forecasting)
Central Hydro-Meteorology Center
(for the whole country forecasting)
3. Types of Climate Data
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
3.2 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
4. Applying Climate Information
 Agriculture
 Water Resources
 Publish Health
For Agriculture
1.
2.
3.
4.
5.
Total Effective Temperature
Total Effective Rainfall Amount
Total potential evaporation
Estimation of drought Conditions
Advantage Coefficient of climate condition
Applying information of climate and climate prediction on Water Resources
Inputs
Models
climate and climate prediction
information/ catchment data
1. Multi variable
Recurrent model
2.
WIN32NN
Model
3. NSFM
Model
Results/Estimations
Results/Estimation
s
Results/Estimatio
ns
Estimation
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
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
Thank you for your
attention