Search
Select your preferred reading mode:
Ad
15 hours ago |
Jakarta, INTI - The National Research and Innovation Agency (BRIN) and Universitas Diponegoro (UNDIP) developed a deep learning-based extreme rainfall prediction model to support flood risk reduction strategies, particularly in Semarang and its surrounding areas. This collaboration is particularly between the Research Center for Climate and Atmosphere (PRIMA) of BRIN and the Faculty of Science ...
1 week ago |
Jakarta, INTI - Indonesia’s National Research and Innovation Agency (BRIN) is leveraging artificial intelligence (AI) to improve the prediction of solar storms, aiming to provide earlier warnings and strengthen preparedness before space weather events impact Earth. Forecasting Coronal Mass Ejections (CMEs), the massive bursts of solar plasma that can trigger solar storms, has long been a major ...
Jakarta, INTI - It is crucial for solar storms to be predicted accurately because they can disrupt satellites, navigation systems, radio communications, and even the Earth's electricity grid. A solar storm is a temporary disturbance in Earth's magnetic field (magnetosphere) caused by solar activity. This phenomenon releases enormous waves of energy, charged particles, and plasma clouds into th...
Jakarta, INTI - Irrigation systems in rice fields that are continuously flooded produce greenhouse gas emissions in the form of methane. Therefore, more efficient water management technology is needed to support climate change mitigation efforts. From this situation, I Gusti Komang Dana Arsana, Principal Researcher at the Food Crops Research Center at the National Research and Innovation Agency...