MIKE SHE Public Data Catalog
Thailand
Version: 0.1 test template
Purpose: Country-specific public dataset catalog for building simple to advanced MIKE SHE models
Region: Kingdom of Thailand (North, North-east / Khorat Plateau, Central Plain, East, South)
Quick Start
Minimum Public Datasets for Recharge Modelling with MIKE SHE (Thailand)
If your objective is to calculate distributed groundwater recharge (without simulating groundwater flow or rivers), only five dataset categories are required.
Thailand has good national soil and water data. High-resolution DEMs are available by request; telemetry data are public via ThaiWater.
Optional Improvements
Recommended Workflow
- Download FABDEM (or national DEM) for the model domain.
- Delineate the model domain and prepare the terrain model.
- Download LDD land use and assign MIKE SHE vegetation classes.
- Download LDD soil series and derive van Genuchten parameters using pedotransfer functions.
- Choose your meteorological forcing:
- Option A (recommended): Use ThaiWater/TMD stations with CHIRPS for gaps, and ERA5-Land for other variables.
- Option B: Use GSMaP/IMERG for sub-daily events.
- Let MIKE SHE calculate evapotranspiration internally using the selected vegetation and soil parameters.
- Represent paddy ponding and irrigation seasons.
- Check simulated actual ET against GLEAM or MODIS MOD16.
- Export the distributed groundwater recharge for use in MODFLOW, FEFLOW, or other groundwater models.
1. Introduction for advanced data sources
1.1 Purpose
This document summarizes public datasets that can be used to construct a physically based MIKE SHE model for Thailand.
The catalog is organized according to the typical MIKE SHE model-building workflow. It covers terrain, land cover, meteorological forcing, ET, rivers, soils, hydrogeology, groundwater, water management, and calibration.
1.2 Intended Use
This catalog is intended for:
- Chao Phraya flood studies
- Bangkok groundwater and subsidence studies
- irrigation water management
- North-east drought and salinity studies
- applied MIKE SHE model setup
1.3 General Notes for Thailand
- Coordinate system: WGS 84 / UTM 47N or 48N (legacy Indian 1975).
- Many portals are in Thai.
- The Water Resources Act B.E. 2561 (2018) created a national water framework under ONWR.
2. Hydrological Characteristics of Thailand
2.1 Climate
- tropical monsoon; south-west monsoon May–October
- dry season November–April (south peninsula has a different regime)
- annual rainfall around 1,000–1,500 mm in the North-east, up to 4,000 mm+ on the west coast of the south
- major floods (e.g. 2011) and droughts
2.2 Topography
- northern mountains
- Central Plain (Chao Phraya)
- Khorat Plateau in the North-east
- southern peninsula
2.3 Major Hydrological Challenges
- floods in the Central Plain
- Bangkok land subsidence (historically from groundwater pumping)
- drought and irrigation demand
- groundwater salinity in the North-east (rock salt formations)
- reservoir operations
2.4 Major Aquifer Systems
Important aquifer settings include:
- Bangkok multi-layer aquifer system (eight main aquifers)
- Chiang Mai basin
- Khorat Plateau aquifers with saline zones
- southern coastal and karst aquifers
3. Recommended Dataset Stack
4. Terrain Model
4.1 Purpose in MIKE SHE
Terrain data are required for model surface elevation, overland-flow gradients, surface storage, catchment delineation, river network verification, and floodplain connectivity.
4.2 Dataset Comparison
| Dataset |
Coverage |
Resolution |
MIKE SHE Suitability |
Advantages |
Limitations |
Recommendation |
| FABDEM |
Global |
30 m |
Primary (free) |
Canopy removed |
Flat-plain accuracy |
★★★★☆ |
| LDD / RTSD DEM |
Thailand |
≤5–10 m |
Detailed models |
Official |
By request |
★★★★★ |
4.3 Typical Preprocessing
- reproject to UTM 47N/48N
- clip to model domain plus buffer
- condition drainage and check against the river network
- resample to model grid
- smooth only where needed for numerical stability
4.4 Quality Checks
- check embankments and polders in the Central Plain
- check subsidence areas around Bangkok
5. Surface Water
5.1 Rivers
5.2 Lakes, Reservoirs and Wetlands
5.3 Typical Preprocessing
- simplify river network
- align river network with DEM
- define channel geometry from surveys or estimated widths
- represent floodplains and wetlands as overland-flow storage
- assign river, reservoir and tidal boundary conditions
6. Land Cover and Vegetation
6.1 Purpose in MIKE SHE
Land cover and vegetation define interception, ET parameters, root depth, crop coefficients, Manning roughness, irrigation zones, and impervious areas.
6.2 Dataset Comparison
6.3 Vegetation Datasets
| Parameter |
Dataset |
Use |
Recommendation |
| LAI |
MODIS MCD15A3H |
Seasonal LAI |
★★★★☆ |
| NDVI |
Sentinel-2 / Landsat |
Crop calendars and phenology |
★★★★☆ |
| Crop coefficient |
FAO-56 |
Rice, sugarcane, cassava, rubber, oil palm |
★★★★☆ |
6.4 Typical Preprocessing
- separate irrigated and rainfed rice, sugarcane, cassava, rubber, forest, urban
7. Meteorological Forcing
7.1 Precipitation
| Dataset |
Coverage |
Resolution |
Temporal Resolution |
MIKE SHE Use |
Advantages |
Limitations |
Recommendation |
| ThaiWater (Hydro-Informatics Institute) |
Thailand |
Point |
Minutes to hourly |
Forcing |
Public telemetry |
Recent period |
★★★★★ |
| Thai Meteorological Department |
Thailand |
Point |
Daily |
Long-term |
Official |
By request |
★★★★☆ |
| CHIRPS |
50°S–50°N |
~5 km |
Daily |
Long-term |
Gauge-blended |
Daily |
★★★★☆ |
| GSMaP |
Global |
~10 km |
Hourly |
Events |
Good in Asia |
Bias |
★★★★☆ |
7.2 Climate Variables
7.3 Notes
- combine long TMD records with dense recent telemetry
8. Soil Data
8.1 Dataset Comparison
| Dataset |
Coverage |
Resolution |
MIKE SHE Use |
Advantages |
Limitations |
Recommendation |
| Land Development Department (LDD) |
Thailand |
1:25,000 |
Primary |
Soil series properties |
Thai |
★★★★★ |
| SoilGrids |
Global |
250 m |
Backup |
Gridded |
Less detailed |
★★☆☆☆ |
8.2 Typical Preprocessing
- derive parameters per soil series
- represent paddy plough pan
9. Hydrogeology
9.1 Dataset Comparison
| Dataset |
Coverage |
Use |
Advantages |
Limitations |
Recommendation |
| Department of Groundwater Resources |
Thailand |
Hydrogeological maps and well database |
Official |
Thai |
★★★★★ |
| WHYMAP |
Global |
Screening |
Consistent |
Coarse |
★★☆☆☆ |
9.2 Conceptual Model Recommendations
- multi-layer Bangkok aquifers with clay aquitards and compaction
- saline groundwater in the North-east
- alluvial fans in northern basins
10. Groundwater Data
11. Water Management
11.1 Relevant Processes
- large irrigation projects (e.g. Greater Chao Phraya)
- reservoirs (e.g. Bhumibol, Sirikit)
- groundwater pumping and charges in Bangkok
- flood diversion to retention areas
11.2 Regulatory Framework
- Water Resources Act B.E. 2561 (2018)
- Groundwater Act B.E. 2520 (1977) — permits and charges
11.3 Key Institutions
12. Remote Sensing Products
13. Calibration Datasets
Recommended strategy: calibrate discharge and heads together, including a major flood year.
14. Typical MIKE SHE Workflow
- Define modelling objective and domain.
- Prepare the DEM from FABDEM or national DEM.
- Build the river network from RID data and MERIT Hydro.
- Prepare land cover from LDD land use.
- Assign vegetation parameters, rooting depths and crop calendars.
- Prepare precipitation from ThaiWater, TMD and CHIRPS.
- Prepare climate forcing and reference ET from ERA5-Land and TMD.
- Prepare soil properties from LDD soil series.
- Build hydrogeological layers from DGR maps and well logs.
- Add pumping and irrigation from DGR permits.
- Couple rivers and groundwater.
- Calibrate against RID discharge and DGR heads.
- Validate with flood extents and ET products.
- Document assumptions and uncertainties.
15. Minimum Dataset Package
16. Recommended Dataset Package
| Model Element |
Dataset |
| DEM |
National DEM (request) |
| Precipitation |
ThaiWater + TMD |
| Discharge |
RID |
| Heads |
DGR |
17. Premium Dataset Package
| Dataset Type |
Possible Source |
Purpose |
| LiDAR |
Projects |
Terrain |
| Pumping records |
DGR permits |
Pumping stress |
| Irrigation operations |
RID |
Diversions |
18. Dataset Comparison Table Template
| Dataset |
Coverage |
Spatial Resolution |
Temporal Resolution |
Time Period |
Format |
API / Access |
License |
MIKE SHE Use |
Advantages |
Limitations |
Recommendation |
|
|
|
|
|
|
|
|
|
|
|
★☆☆☆☆ |
19. Data Preparation Checklist
Terrain
- [ ] DEM downloaded (or requested) and licence checked
- [ ] DEM projected and clipped
- [ ] drainage checked against river network
Surface Water
- [ ] river network prepared
- [ ] reservoirs, wetlands and floodplains identified
- [ ] boundary conditions assigned
Land Cover and Vegetation
- [ ] land cover reclassified
- [ ] irrigated areas and crop calendars defined
- [ ] LAI and rooting depths assigned
Weather
- [ ] precipitation prepared and compared with station data
- [ ] climate forcing prepared
- [ ] reference ET calculated
Soil
- [ ] soil data downloaded or requested
- [ ] hydraulic parameters derived
Groundwater
- [ ] geology and hydrogeology collected
- [ ] heads and pumping data requested
- [ ] boundary conditions defined
Calibration and Validation
- [ ] discharge data obtained
- [ ] ET and remote-sensing validation data prepared
- [ ] calibration and validation periods defined
Thailand-specific
- [ ] Thai-language portals accessed
- [ ] reservoir operations obtained
20. References and Official Data Portals
National and regional sources
Global sources
21. Notes on Uncertainty
- reservoir and irrigation operations
- subsidence
- saline groundwater
- floodplain structures
A defensible model should document dataset choices, preprocessing assumptions, calibration strategy, validation results, and known limitations.