High Mountain Asia Daily Landslide Hazard Projections at 5km Resolution

Landslide hazard indicator projections for the High Mountain Asia region from 2015 through 2100. Data is generated at a 5 km daily resolution for two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5) using a machine learning model. The dataset is produced by NSIDC_CPRD and includes historical model outputs from 1990 to 2019.

Use Cases

• Analyze trends in the landslide hazard indicator (LHI) across the High Mountain Asia region under different climate scenarios (SSP2-4.5 and SSP5-8.5).
• Correlate daily LHI values with downscaled temperature and precipitation projections from the 30-member ensemble climate model.
• Validate the machine learning model's retrodicted LHIs for 1990-2014 against historical landslide catalog data.
• Assess spatial patterns of landslide risk at 5 km resolution for long-term regional planning and disaster preparedness.

Strengths

• Provides daily projections from 2015 through 2100, covering an 86-year future period.
• Uses a 30-member ensemble climate model for downscaled temperature and precipitation inputs.
• Includes two distinct historical LHI datasets spanning 1990 to 2019 for model training and validation.

Limitations

• Projections are based on specific climate model ensembles and SSP scenarios, which may not capture full uncertainty.
• The 5 km resolution may be too coarse for localized, site-specific hazard assessment.
• Historical landslide catalog used for model training may have reporting biases or incomplete coverage.

Provenance

Source

NSIDC_CPRD via NASA Earthdata.

Collection Method

Landslide Hazard Indicator (LHI) computed with a machine learning model trained on historical climate data and a landslide catalog, applied to downscaled climate model projections.

Time Range

Historical: 1990-2019; Projections: 2015-2100.

Freshness

Projections extend to 2100-12-31, with historical data up to 2019.

Geography

High Mountain Asia region.