We are ICIMOD, a unique intergovernmental institution leading the global effort to protect the pulse ...
With a vast array of partners, we organize our work in what we call Regional ...
Successful interventions can change lives for the better. We hope that the stories of success ...
The collaborative HKH CryoHub platform supports knowledge generation and exchange, learning, and networking, to create better connected practitioners and decision makers to enhance work and policies relevant to the cryosphere in the region.
The CryoHub links regional institutions conducting cryosphere-related research and provides a platform through which a common approach to data sharing is being promoted to improve our understanding of water resources and their management in the HKH.
The regional CryoHub is a collaborative effort through which we share and disseminate data and information using a network of national partners from and beyond our RMCs. It serves as a clearing house for cryosphere-related data and information for relevant operational services and research activities. As a knowledge hub, it integrates geospatial data to support knowledge development and decision making, and builds on capacity building efforts in the HKH for future generations of scientists.
Our activities under the regional CryoHub include:
In the spotlight
For this issue of HKH CryoHub: In the Spotlight, we are in conversation with Associate Prof. Hedayatullah Arian, Head – Hydrometeorology Department, Kabul University, Afghanistan.
The data on glacial lakes in 2015 were derived through a semi-automatic method using Landsat imagery from 2015 to 2016. The Normalized Difference Water Index threshold value was used for classification. Further, the lake boundary was revised or manually updated by incorporating those lakes that were missed because of atmospheric and physical processes such as being frozen, covered under snow, or obstructed by shadows and clouds. The mapped glacial lakes were validated and modified where necessary by overlaying the Landsat imagery over previous inventory datasets. They were also cross-checked with high-resolution Google Earth imagery. The attributes of glacial lakes were derived from SRTM DEM, and the data were projected in the WGS UTM projection system. This dataset was prepared to support the Green Climate Fund project proposal formulated by UNDP Nepal.
The potentially dangerous glacial lakes were identified on the basis of the glacial lake inventory dataset using Landsat imagery from 2015. The following criteria were used for classifying the lakes: i) lake characteristics, ii) dam characteristics, iii) source/associate glacier characteristics, and iv) physical conditions of surroundings. Various parameters required for classifying such lakes were generated by using 5 m ALOS DEM for Nepal and 12.5 m ALOS DEM for China and India. Data include detailed analyses of land features and conditions using high-resolution images with 3D visualization on Google Earth. The dataset provides the size, type, and altitudinal distribution of such lakes, including the hazard rank of each lake. This dataset was prepared to support the Green Climate Fund project proposal formulated by UNDP Nepal.
The 5m ALOS DEM was procured from NTT DATA, a company serving as first point of sale of JAXA products.
Digital polygon data of Status of Glaciers in Wakhan Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth. The attribute data were assigned to each glacier using 90m resolution SRTM DEM.
Digital polygon data of Status of Glaciers in Upper Indus Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth. The attribute data were assigned to each glacier using 90m resolution SRTM DEM.
Meteorological data from Kyangin Langtang valley, Nepal.
Hi Ben, just curious. What system support are you referring to?
System support specialists provide help desk assistance and technical support for all types of issues affecting end users,
Thank you for sharing this, Sher ji.
Register Login View all
NEWS AND FEATURES
This First HKH Assessment Report consists of 16 chapters, which comprehensively assess the current state of knowledge of the HKH region, increase the understanding of various drivers of change and their impacts, address critical data gaps, and develop a set of evidence-based and actionable policy solutions and recommendations. These are linked to nine mountain priorities for the mountains and people of the HKH consistent with the UN Sustainable Development Goals.
This policy summary looks at reported and possible future consequences of climate change in the greater Himalayan region.
Himalayan glaciers are retreating; the resultant long-term loss of natural fresh water storage will have as yet uncalculated effects.
Snow is an important component of the cryosphere, and the study of snow trends is essential for understanding regional climate change and for managing water resources.
This is the first comprehensive report on the distribution of glacial lakes for the HKH providing baseline data for further investigation of glacial lakes, GLOF hazards and risk assessments, and mitigation measures.
Resources and information for the media
Landmark study: Two-degree temperature rise could melt half of glaciers in Hindu Kush Himalaya region, destabilizing Asia’s rivers