ALICE-LAB offers high-resolution historical hydrometeorological data for Thailand, with a resolution of 0.01 degrees (about 1 km) on a daily basis. This detailed dataset offers substantial advantages across various domains. In water resources management, it refines hydrological forecasts and enhances conservation strategies. For climate-related studies, it provides crucial insights into carbon storage and fluxes, supporting more effective climate change mitigation. By offering an in-depth view of environmental conditions, our data significantly boosts decision-making and operational efficiency in both water management and climate research.

Figure 1: Total evapotranspiration (ET) at a 1 km resolution from April to June 2024. ET, which combines soil evaporation and plant transpiration, is depicted here with a gradient of colors, where reddish tones indicate higher ET values, particularly evident in June. These maps illustrate the temporal progression of ET over the three months. This data is valuable for analyzing water cycle dynamics, assessing vegetation health, and managing water resources.

High-resolution historical hydrometeorological data plays a pivotal role in optimizing water resource management, advancing climate analysis, and enhancing agricultural practices. This level of detail (e.g., 1 km) provides a granular view of precipitation patterns, temperature fluctuations, and soil moisture variations, allowing for a precise assessment of water availability across different regions. Such detailed data is invaluable for predicting and managing water supply, helping to ensure that resources are allocated efficiently and sustainably. 

In the realm of climate analysis, high-resolution data uncovers localized trends and anomalies that broader datasets might miss, enabling a more nuanced understanding of climate change impacts at a regional level. This enhanced understanding supports more accurate climate models and informs strategies for mitigating adverse effects. For agriculture, detailed hydrometeorological data empowers farmers with specific insights into weather conditions and soil health, facilitating better irrigation management, optimized crop planning, and improved yield predictions. By integrating this high-resolution data into decision-making processes, stakeholders can address environmental challenges with greater precision and foresight, ultimately leading to more resilient and adaptive water management, climate strategies, and agricultural systems.

Spatial Resolution: 0.01 equal-area grid (~1 km)
Temporal Resolution: 1 day
Time span: 1940 – Present
File format: NetCDF
Latency: 1 month