We provide high-resolution historical hydrometeorological data at approximately 0.01 degrees (~1 km) on a monthly scale for Asia, offering substantial benefits across various fields. This precise data can boost water resources management by refining hydrological forecasts and optimizing conservation strategies. It can also enhance climate-related applications by delivering key insights into carbon storage and fluxes, aiding in effective climate change mitigation. By offering a detailed view of environmental conditions, our data significantly improves decision-making and efficiency in both water management and climate research.

Figure 1: High-resolution map of Terrestrial Water Storage (TWS) anomalies in Asia. TWS represents the total water column on land, including soil moisture, groundwater, and snow. This map highlights areas of increased (cool tones) or decreased (warm tones) water storage compared to the long-term mean (2004-2009). This data is crucial for evaluating water availability, assessing drought conditions, and supporting climate impact studies by revealing regional variations in water resources and their effects on ecosystems.

Hydrometeorological data is essential in climate analysis, water resources management, and agriculture. Our high-resolution historical hydrometeorological data, produced at 0.01 degrees (approximately 1 km) on a monthly scale in Asia offers an unparalleled view of weather and environmental conditions, making it an indispensable tool for numerous applications. In climate science, such detailed data improves climate modeling and predictions by capturing localized weather patterns, which helps identify regional climate impacts and tailor adaptation strategies. For water resources management, high-resolution data provides precise insights into local water cycles and variability, enabling accurate flood and drought predictions and more effective water management. In agriculture, it supports detailed weather and soil moisture analysis, optimizing irrigation, crop management, and pest control, ultimately improving yields and resource efficiency. Overall, high-resolution data enhances our ability to manage environmental conditions with greater precision and effectiveness.

Spatial Resolution: 0.01 equal-area grid (~1 km)
Temporal Resolution: 1 month
Time span: 2000 – Present
File format: NetCDF
Latency: 1 month