Code and Resources

Links to code and tools developed by the High Mountain Asia Team for assessing and projecting change in the water, ice, snow, hazards, and related phenomena in HMA.

Downscaling

En-GARD

The Ensemble Generalized Analog Regression Downscaling tool En-GARD. En-GARD is a statistical downscaling tool that enables the use of atmospheric circulation information when downscaling climate data.

ICAR

The Intermediate Complexity Atmospheric Research model ICAR. ICAR is a quasi-dynamical downscaling model that simulates regional changes in climate directly from physical principles at a fraction of the computational cost of a full dynamical downscaling model.

Glacier Evolution

PyGEM

The Python Glacier Evolution Model (PyGEM) is an open-source glacier evolution model coded in Python that models the transient evolution of glaciers.

Glacier Velocity

itslive

itslive is a tutorial that demonstrates how to access and work with multi-dimensional remote sensing data using the python package and open source project xarray. This example will use a glacier surface velocity dataset called ITS_LIVE.

itslivetools

itslivetools is a Python package containing utility functions for accessing and working with ITS_LIVE ice velocity data stored in AWS S3 buckets.

Debris Cover

debris_global

debris_global is code to calculate the debris thickness of debris-covered glaciers globally using remote sensing data.

Energy Balance

sebm

sebm is a glacier surface energy and mass balance model.

Hazards

SALaD

The Semi-Automatic Landslide Detection (SALaD) is a landslide mapping system which utilizes Object-based Image Analysis and Random Forest to map landslides from optical imagery and a DEM

Models

WRFchem_HMA

WRFchem_HMA is WRFchem code development for HMA by including light-absorbing aerosol deposition to CLM/SNICAR snow. WRF version: 3.9.1

GEOSldas

GEOSldas implements the Goddard Earth Observing System Land Data Assimilation Fixture with snow data assimilation

Remote Sensing

sentinel1_rtc

sentinel1_rtc is a tutorial of Jupyter Notebooks that demonstrates various ways to access, process and work with Sentinel-1 Synthetic Aperture Radar (SAR) Radiometrically Terrain Corrected (RTC) imagery using the python package and open source project xarray as well as a number of other open source software packages.