12-17, 11:30–11:45 (Asia/Bangkok), Auditorium Hall 1
Hydrometeorological data are crucial for effective water resource management, weather forecasting, and climate adaptation. In Asia, a region known for its vast geographic diversity and varied climatic conditions, the lack of high-resolution data has been a significant challenge for addressing local-scale issues. Traditional datasets often have coarse spatial resolution (e.g., 10 – 25 km), limiting their usefulness for detailed, localized analysis. To address this gap, we have developed a pioneering dataset offering 1 km resolution hydrometeorological data for the entire Asian continent. This dataset includes essential variables such as precipitation, surface temperature, radiation, soil moisture, evapotranspiration, groundwater, and surface runoff delivering unprecedented detail and accuracy compared to existing coarse-resolution data. The dataset was created using advanced remote sensing techniques, land surface physics, and sophisticated data assimilation methods, ensuring both enhanced spatial resolution and accurate reflection of local conditions. Our dataset spans from 1940 to the present, providing a comprehensive historical archive and seasonal forecasts extending up to six months into the future. This combination of historical and predictive data makes it an invaluable resource for a variety of applications, including water resources, climate studies, agriculture, and disaster assessment. To validate the accuracy of our high-resolution data, we conducted extensive comparisons with satellite remote sensing products such as MODIS (Moderate Resolution Imaging Spectroradiometer), GRACE (Gravity Recovery and Climate Experiment), and SMAP (Soil Moisture Active Passive). These comparisons confirm that our dataset offers superior accuracy and finer detail compared to publicly available data.
