Regional Drought Monitoring and Early Warning System
SERVIR scientists discuss the how the Regional Drought Monitoring and Early Warning System is being used in the Hindu Kush Himalaya region.
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SERVIR scientists discuss the how the Regional Drought Monitoring and Early Warning System is being used in the Hindu Kush Himalaya region.
The Regional Drought Monitoring and Outlook System (RDMOS) was developed to help predict, mitigate, and adequately respond to drought vulnerabilities in the HKH region.
SERVIR Hindu Kush Himalaya helps improve environmental management and resilience in critical areas like food security, water resources management, disaster resilience, and sustainable lan
The Nepal DHM is the national agency responsible for monitoring and managing the hydrological resources of Nepal. This Use Case describes how they used the SERVIR Enhancing Flood Early Warning Services (EWS).
As part of this service, SERVIR HKH, with the technical support of Brigham Young University developed a streamflow prediction tool that incorporates all primary and secondary rivers in the HKH region
The Climate Change Vulnerability, Impacts and Assessments Service assesses climate change impacts on vulnerable communities, water resources, and ecosystems in order to better address resilience building activities.
The Land Use Land Cover and Change Mapping Service was designed to provide governments with data, tools, and skills to better understand relevant intervention actions related to land conservation and management, ensuring that land resources can be efficiently monitored and regulated.
The Monitoring Extreme Weather in the Hindu Kush Himalaya (HKH) service provides a customized numerical weather prediction toolkit to assess high impact convective weather events over the HKH region.
On 28 June 2015, around 7 pm local time, a yak herder in Bhutan witnessed an alarming spectacle: a glacial lake outburst flood, or GLOF. He looked on as water from Lemthang Tsho (Memari) Lake, which had filled beyond capacity, burst over its embankment.