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Description
Background
Specification
Data
Description

This data is still experimental.

 

ALICE-LAB lab produces the regional hydrological midterm forecast, delivering crucial data on water balance variables—including precipitation, evapotranspiration, runoff, streamflow, groundwater, and terrestrial water storage—at an spatial resolution of approximately 10 km over Thailand. This real-time information, along with forecasts extending up to 10 days, is invaluable for a range of applications. For water resource managers, it provides essential insights for optimizing water allocation and usage, while farmers can utilize the data to make informed decisions about irrigation and crop management, ultimately enhancing agricultural productivity. This forecast can also play a critical role in assessing risks related to floods and droughts, supporting climate resilience strategies, and informing policy decisions aimed at sustainable water management in the face of changing climate conditions.

 

 

Figure 1: The figure shows the forecasted surface runoff (mean of 30 ensemble members) for the next 10–12 days at a 10 km resolution across Thailand produced on October 10, 2024. It represents the projected distribution of water in lakes, rivers, and other surface water bodies. This forecast is crucial for decision-making in flood management, water resource allocation, and agricultural planning. By identifying areas with potential excess or shortage of surface water, the data provides valuable insights for proactive management of water resources, helping to mitigate flood risks and ensure efficient use of available water.

 

Background

Real-time accessibility to high-resolution hydrologic data is essential for effective management across various sectors, particularly in water resources, agriculture, risk assessment, and climate adaptation. This data empowers water resource managers to make timely decisions regarding allocation, ensuring sustainable usage during periods of high demand or drought. For farmers, accurate information on soil moisture and precipitation patterns allows for optimized irrigation practices, enhancing crop yields while minimizing water waste. Additionally, high-resolution data plays a critical role in risk assessment by providing early warnings for potential flooding or droughts, enabling communities to prepare and respond effectively. This data also deepens our understanding of hydrological trends, which is vital for developing adaptive strategies to mitigate climate change impacts and foster resilience in both ecosystems and human systems.


Building on the advantages of real-time data, midterm forecasts extending up to 10 days offer further benefits for water management and agricultural planning. These forecasts provide insights into anticipated hydrologic conditions, allowing water resource managers to proactively adjust operations, such as reservoir management and conservation measures, in response to projected rainfall or drought. For farmers, a 10-day outlook on precipitation and evapotranspiration aids in fine-tuning planting schedules and irrigation strategies, maximizing crop health and minimizing costs. Moreover, this forecasting capability enhances risk management by equipping communities with the foresight needed to prepare for extreme weather events, ensuring that necessary precautions can be taken to protect lives and property. Ultimately, integrating midterm forecasts into decision-making processes supports a more resilient approach to managing water resources in a changing climate, benefiting both agricultural practices and policy development.

Specification

Spatial Resolution: 0.1 equal-area grid (~10 km)
Temporal Resolution: 1 day
Time span: 10 days forecast
Ensemble: 30
File format: NetCDF

 

LIST OF VARIABLES

VariablesNameUnit
TWSTerrestrial Water Storagemm
SM1Soil Moisture (5cm)mm
SM2Soil Moisture (5 – 30 cm)mm
SM3Soil Moisture (30- 150 cm)mm
GWSGround Water Storagemm
SURSurface Water Storagemm
AETActual Evaporationmm/day
QSSurface Runoffmm/day
PETPotential Evaporationmm/day
PRCPrecipitationmm/day
TMPAir Temperature°C
DISDischargem³/s

 

Data

The figures present the ensemble mean (from 30 ensemble members) forecasted rainfall, river discharge, evaporation, and soil moisture storage (anomaly) for the next 10–12 days at a 10 km resolution across Thailand produced on October 16, 2024. This data is essential for understanding the near-future hydrological conditions, offering insights into potential rainfall patterns, river flow levels, and soil moisture availability. These forecasts are highly useful for flood risk management, agricultural planning, and water resource allocation. By providing a detailed view of the expected water input, flow, and soil conditions, the data helps inform decision-makers to prepare for extreme weather events and optimize water usage across the country.


Figure 1: Precipitation data from October 16-25, 2024.

Figure 2: Discharge data from October 16-25, 2024.

Figure 3: Land Surface Evaporation data from October 16-25, 2024.

Figure 4: Upper Soil Storage 5cm data from October 16-25, 2024.

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