High Mountain Asia Daily 5km Landslide Hazard Indicator, Version 1
Data set id:
HMA2_LHI
DOI: 10.5067/CU0JWHT2RNIW
Data Citation and Acknowledgment
As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility.
Stanley, T. A., Soobitsky, R. B., Amatya, P. M. & Kirschbaum, D. B. (2024). High Mountain Asia Daily 5km Landslide Hazard Indicator. (HMA2_LHI, Version 1). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/CU0JWHT2RNIW. [describe subset used if applicable]. Date Accessed 04-03-2026.
Copied
Other standard citation formats may be found on the DOI Citation Formatter website (paste 10.5067/CU0JWHT2RNIW into the top form field).
Describing subset: When applicable, include the information a reader would need to extract the same subset at the end of your citation. If multiple or complex steps were incolved, it may be more appropriate to include this information in the paper itself.
See our Citation Policies for more details about how to structure your data citation.
Subscribe here to receive email updates of the data set HMA2_LHI
STANDARD Level of Service
Data: Data integrity and usability verified
Documentation: Key metadata and user guide available
User Support: Assistance with data access and usage; guidance on use of data in tools
This is the most recent version of these data.
Version Summary
Version Summary
Initial release
In this section
- Rendering Links ...
- Rendering Links ...
Overview
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.
Parameter(s):
LANDSLIDES
Platform(s):
MODELS
Sensor(s):
NOT APPLICABLE
Data Format(s):
netCDF-4
Temporal Coverage:
- 31 January 1990 to 1 January 2019
- 1 January 2015 to 31 December 2100
- 1 January 1990 to 31 December 2014
Temporal Resolution:
- 1 day
Spatial Resolution:
- 5 km
- 5 km
Spatial Reference System(s):
- WGS 84EPSG:4326
Spatial Coverage:
- N:46S:20E:111W:60
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
A free NASA Earthdata Login account is required to access these data. Learn More
Filter files before downloading based on date, spatial area, or file name. Choose from various download options, such as Python script. Export bounding boxes as a GeoJSON.
Search & Discover
Get Data
Related Help Resources
Search and order data from all NASA DAACs using spatial and temporal filters in a map interface. Reformatting, reprojecting, and subsetting options are available for some data sets.
Visualize
Search & Discover
Get Data
Related Help Resources
Type: Web Application
Get Data
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Related Help Resources
Type:
service
earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
Get Data
Search & Discover
Supported software languages:
Python
Related Help Resources
Get Data
Access data directly from the NASA Earthdata Cloud via Amazon Web Services Simple Storage Service (AWS S3). This access option is only available when working within the us-west-2 region and requires additional AWS S3 credentials.
Related Help Resources
Type:
service
Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.
Visualize
Analyze
Type: Downloadable Software
Documentation
Help Articles
General Questions & FAQs
This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.
How to Articles
This article shows how to download NSIDC DAAC data from NASA Earthdata Cloud to your computer using three tools: wget and curl—popular command-line utilities for downloading files—and Data Downloader, a Python-based command-line tool developed by the Physical Oceanography Distributed Active Archi
Many NSIDC DAAC data sets can be accessed using NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.Users have the option to:
The NASA Earthdata Cloud is the NASA cloud-based archive of Earth observations. It is hosted by Amazon Web Services (AWS). Learn how to find and access NSIDC DAAC data directly in the cloud.