ICIMOD’s SERVIR-HKH Initiative, a joint initiative of USAID and NASA, is working on developing a landslide monitoring and forecast system to automate EO-based monitoring of landslides in the region with support from scientists and researchers from NASA.
Capitalizing on recent advancements in artificial intelligence, Earth Observation big data, and cloud-computing platforms, the Pakistan Agricultural Research Council (PARC) and the International Centre for Integrated Mountain Development (ICIMOD) are working together to develop innovative data-science solutions that can support agricultural planning and food security assessments under ICIMOD’s SERVIR-HKH Initiative, a joint partnership between USAID and NASA.
The International Centre for Integrated Mountain Development (ICIMOD) and the University of Alaska Fairbanks are organizing an orientation training to introduce HydroSAR’s HYDRO30 surface water extent product along with its visualization capabilities to relevant stakeholders.
South and Southeast Asia is subject to significant hydrometeorological extremes, including drought. Under rising temperatures, growing populations, and an apparent weakening of the South Asian monsoon in recent decades, concerns regarding drought and its potential impacts on water and food security are on the rise. Reliable sub-seasonal to seasonal (S2S) hydrological forecasts could, in principle, help governments and international organizations to better assess risk and act in the face of an oncoming drought. Here, we leverage recent improvements in S2S meteorological forecasts and the growing power of Earth observations to provide more accurate monitoring of hydrological states for forecast initialization. Information from both sources is merged in a South and Southeast Asia sub-seasonal to seasonal hydrological forecasting system (SAHFS-S2S), developed collaboratively with the NASA SERVIR program and end users across the region. This system applies the Noah-Multiparameterization (NoahMP) Land Surface Model (LSM) in the NASA Land Information System (LIS), driven by downscaled meteorological fields from the Global Data Assimilation System (GDAS) and Climate Hazards InfraRed Precipitation products (CHIRP and CHIRPS) to optimize initial conditions. The NASA Goddard Earth Observing System Model sub-seasonal to seasonal (GEOS-S2S) forecasts, downscaled using the National Center for Atmospheric Research (NCAR) General Analog Regression Downscaling (GARD) tool and quantile mapping, are then applied to drive 5 km resolution hydrological forecasts to a 9-month forecast time horizon. Results show that the skillful predictions of root zone soil moisture can be made 1 to 2 months in advance for forecasts initialized in rainy seasons and up to 8 months when initialized in dry seasons. The memory of accurate initial conditions can positively contribute to forecast skills throughout the entire 9-month prediction period in areas with limited precipitation. This SAHFS-S2S has been operationalized at the International Centre for Integrated Mountain Development (ICIMOD) to support drought monitoring and warning needs in the region.
Experts working within the SERVIR-HKH Initiative at ICIMOD investigated the 2018 Panjshir flood using remotely sensed imagery...
Interactive visualisation of the highest mountain peaks of the world that are above 8,000 meter from sea level.
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This story map describes how farmers are demoralized by the problems that they are facing in the field.
SERVIR connects space to village by helping developing countries use satellite data to address challenges in food security, water resources, weather and climate, land use, and natural disasters. A partnership of National Aeronautics and Space Administration (NASA), United States Agency for International Development (USAID), and leading technical organizations, SERVIR develops innovative solutions to improve livelihoods and foster self-reliance in Asia, Africa, and the Americas. Read More
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