Ganges-Brahmaputra-Meghna River Basin Drought and Flood Monitoring System
Qiuhong TANG¹ , Jie WANG¹ , Ximeng XU¹ , Li HE¹ , Binod Baniya²

¹Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
²Central Department of Environmental Science, Institute of Science and Technology, Tribhuvan University, Nepal

GBM River Monitoring System

One-line system description: The Ganges-Brahmaputra-Meghna River Basin Drought and Flood Monitoring System (GBM System), developed and maintained by researchers at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, provides quasi-real-time information on agricultural droughts and flood information in the GBM river basin.

Extended system description: The GBM system provides quasi-real-time information on agricultural drought and flood information in the GBM river basin. It was developed on the basis of a high-resolution hourly flood monitoring system (v1.0), a high-resolution daily flood monitoring and forecasting system (v1.0), and China's daily drought monitoring and forecasting system (NDMFS v1.0) with independent intellectual property rights. The input data are the Global Precipitation Measurement (GPM)-based near real-time satellite precipitation estimates, NECP/NCAR reanalysis of air temperature and wind speed data. This system is developed and maintained by researchers at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. The GBM system is used by scientists at Tribhuvan University for drought and flood preparedness which is helpful to protect the lives, communities, and agriculture from the devastation caused by flash floods in Nepal.

The real time drought and flood monitoring system developed for Ganges-Brahmaputra-Meghna River Basin is available in following site（http://121.199.2.154/GBMMS.html）which is open access and can be used for any users to protect the life of community from drought and flash flood.

Acknowledgements: This study has supported by Collaborative Research Program of the Alliance of International Science Organization (ANSO) (Grant no. ANSO-CR-KP-2021-09), IGSNRR-CAS, China and IoST-TU, Nepal.