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Description

This data set projects the daily hazard of rainfall-triggered landslides in the High Mountain Asia region from 2015 through 2100, at 5 km resolution. Projections are provided for two Shared Socioeconomic Pathways (SSPs)—SSP2-4.5 and SSP5 8.5—based on downscaled temperature and precipitation projections from a 30-member ensemble climate model.

Landslide hazard is represented by a landslide hazard indicator (LHI), computed with a machine learning (ML) model trained on historical temperatures and precipitation from 1990 through 2019 and a catalog of documented landslides.

Two historical LHI data sets are also available: the ML model LHIs generated for 1990 through 2019; and retrodicted LHIs computed by inputting downscaled temperatures and precipitation for 1990 through 2014 to the ensemble climate model.

Product Summary

Platforms
MODELS
Instruments
NOT APPLICABLE
Spatial Extent

N: 46 S: 20 E: 111 W: 60

Spatial Resolution
5 Kilometers x 5 Kilometers
Geographic Region
AFGHANISTAN ,
KYRGYZSTAN ,
PAKISTAN ,
TAJIKISTAN
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1990-01-31 to 2019-01-01 ,
2015-01-01 to 2100-12-31 ,
1990-01-01 to 2014-12-31
Concept ID
C3266793968-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
10758
Processing Level
4
Science Keywords
Landslides

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Stanley, T., Soobitsky, R., Amatya, P., & Kirschbaum, D. (2024). High Mountain Asia Daily 5km Landslide Hazard Indicator, Version 1 [Data set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/CU0JWHT2RNIW Date Accessed: 2025-12-14

Documents

USER'S GUIDE

GENERAL DOCUMENTATION