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particularly vulnerable to climate change. The high peaks of the Himalayas are a vast storehouse of water in frozen form, with the world’s greatest concentration of

Many records indicate that the trend of rising temperatures is more significant in mountain regions than adjacent lowlands. Climate models also suggest that the future will bring greater temperature increase and more erratic precipitation.

vast amount of data about the Koshi River Basin is now at your fingertips, even in the field from a mobile phone. It has long been a challenge for users working on transboundary issues to find reliable data that doesn’t stop at borders, which

specific research and data gaps by mapping existing knowledge related to climate change in the Indus basin, and by supporting evidence based development in communities across the

specific research and data gaps by mapping existing knowledge related to climate change in the Indus basin, and by supporting evidence based development in communities across the

The Indus River Basin is shared by four countries Afghanistan, China, India, and Pakistan, with the largest portions of the basin lying in Pakistan (52%) and India (33%). The main river originates at Lake Ngangla Rinco on the Tibetan Plateau in the

Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) identifies drought as one of the major Climate risks in south Asia. The report projects that Climate change will affect food security by the middle of the 21st

by processing and analysing data which can be re-used

data is scarce in high-elevation environments, and detailed imagery and repeat digital elevation models of debris-covered glaciers have not been made publically available until now. The Cryosphere Initiative at the International

Rural Livelihoods and Climate Change Adaptation in the Himalayas (Himalica) Initiative is financed by the European Union and aims to support poor and vulnerable mountain communities in the Hindu Kush Himalayan (HKH) region in mitigating and

data. Small data. Spatial data. Socio-economic data. Time-series data. data in the cloud. data on the ground. No matter what data you collect or what field you work in, if you have data it will require analysis. This four-day training will

“Himalayan Adaptation, Water and Resilience (HI-AWARE) Research on Glacier and Snowpack Dependent River Basins for Improving Livelihoods” is a five year study that ICIMOD is leading with its partners in four river basins namely Indus, Upper

(four women and 20 men). Climate change effects were analyzed from the perspective of sustainable cardamom production and productivity. The implementation of Climate-resilient practices along the cardamom

Conference on Biodiversity, Climate Change Assessment, and Impacts on Livelihood was organized in Kathmandu from 10-12 January 2017. The three-day event brought together 300 national and 100 international scientists, policy makers, and

Climate Change continued its roll across the Himalayas in 2015 with its arrival in New Delhi, launching the Indian segment of the open-ended initiative that combines an evolving exhibition with outreach, documentation, creative expression, and

This training aims to train relevant professionals from ICIMOD and selected partner institutions and SERVIR-hubs on sentinel satellite data analysis for various applications.

How is climate change impacting water resources in the Himalayas? That’s a big question, and now there’s a comprehensive atlas that policy makers and practitioners can turn to for answers and information.

Workshop Develops Method for Downscaling Climate Data in the Upper Indus Basin

HI-AWARE – a research programme on adaptation, water, and resilience in glacier and snowpack dependent river basins of the region – brought together policy makers and practitioners from Nepal for a two-day workshop to share initial results of

Managing Nepal’s growing air pollution crisis requires continuous monitoring of air quality at many locations. This information is needed for public decision making to reduce exposure to hazardous air pollution, to identify the most cost-effective