In order to meet the disaster prevention and reduction needs of oceanic and atmospheric hazards in Sri Lanka, leveraging observation data and ocean modeling, the center has independently developed the "Marine Environment Observation and Real-time Forecasting System ". It provides daily forecasts of marine weather conditions in the vicinity of Sri Lanka, and the forecast results are published in real-time on the center's official website.
Automatic Weather Station (AWS) Dashboard is now operational, showcasing real-time data from the newly re-established Meteorological Observation Tower at the China-Sri Lanka Joint Center for Education and Research (CSL-CER), University of Ruhuna. The AWS captures a wide array of climatological parameters, including rainfall, temperature, solar radiance, albedo, wind speed (at multiple heights), wind direction, humidity, and atmospheric CO₂ levels. These high-resolution, real-time datasets are critical for enhancing weather forecasting accuracy, supporting climate change research, and contributing to regional and global environmental studies.