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National Cryosphere Desert Data Center
Ice Sheet Reconstruction Model - ICESHEET
Author:  None
Creates ice sheet reconstructions using perfect plasticity approximation, using ice margins and basal shear stress as input
Tag Ice sheet reconstruction perfect plasticity approximation ancient ice cover ice edge location basement shear stress ancient climate geological landforms

National Cryosphere Desert Data Center
Glacier Energy and Mass Balance Model - GEMB
Author:  None
Glacier Energy and Mass Balance model, focused on Firn (part of ISSM
Tag Energy balance mass balance glacier surface ISSM components climate change impacts meltwater runoff radiation flux

National Cryosphere Desert Data Center
Ice Flow Model Development Toolkit - icetools
Author:  None
Icetoolsicetools is a comprehensive toolkit for developing numerical ice flow models, providing modules such as data processing, model configuration, result analysis, and validation testing. **Historical background **: Icetools was developed by the Icetools team with the aim of providing a comprehensive toolkit for ice flow model developers to simplify the process of model development, testing, and validation. The development of this toolkit responds to the demand for standardized tools in the development of ice flow models. **Technical features **: • Provide data processing and model configuration capabilities to simplify the model setup process • Includes visualization and analysis tools for model results, facilitating interpretation of results • Support the management of test cases and benchmark data to facilitate model validation • Provide model validation and accuracy evaluation functions to ensure model quality • Support rapid prototyping development of ice flow model algorithms • Seamless integration with the Python scientific ecosystem for easy scalability **Core functions **: • Rapid prototyping development of ice flow model algorithm • Visualization and analysis of model results • Test case and benchmark data management • Model validation and accuracy evaluation • Integration of teaching and training tools • Automated workflow for ice flow model development **Application case **: • Development and testing of ice flow model algorithms • Comparative analysis of results from different ice flow models • Ice flow model validation and benchmark testing • Ice flow model teaching and training • Visualization and analysis of large-scale ice flow simulation results • Sensitivity analysis of ice flow model parameters **Limitations **: • Mainly used as a toolset, it does not include a complete ice flow model • There are certain requirements for users' knowledge of Python and ice flow modeling • Some advanced features may require additional dependency libraries • Computational efficiency may be limited during large-scale data processing • Integration with certain specific ice flow models may require additional development work **Input parameters **: • Model input data (such as ice sheet geometry, climate data, etc.) • Model configuration parameters • Test cases and benchmark data • Model output result data • Visualization and analysis parameters **Output result **: • Processed model input data • Model configuration file • Visualized model results • Model validation and accuracy evaluation report • Test case execution results
Tag Ice flow model development data processing result visualization model validation Python toolset rapid prototyping benchmarking

National Cryosphere Desert Data Center
Variable Resolution Ice Sheet Model - MALI
Author:  None
MPAS-Albany Land Ice - a variable-resolution ice sheet model using Voronoi meshes for Earth system modeling
Tag Variable resolution Voronoi grid Earth system modeling MPAS framework adaptive encryption ice sheet climate interaction parallel computing

National Cryosphere Desert Data Center
Distributed Snow and Ice Mass Change Simulation Framework - COSIPY
Author:  None
COSIPY is a flexible and user-friendly framework for simulating distributed changes in ice and snow quality, using energy balance methods to calculate surface mass balance. **Historical background **: COSIPY was developed by the COSIPY team with the aim of providing a flexible framework to support simulation of distributed changes in ice and snow quality. The development of this model responds to the demand for high spatial resolution research on ice and snow processes. **Technical features **: • Using energy balance methods to calculate surface mass balance and improve simulation accuracy • Support high spatial resolution simulation to capture local ice and snow processes • Simulate hydrological processes in glacier basins, including meltwater runoff • Predicting meltwater runoff and assessing changes in water resources • Assess the impact of climate change on ice and snow resources • Seamless integration with the Python scientific ecosystem **Core functions **: • Distributed simulation of changes in ice and snow quality • Research on High Spatial Resolution Ice and Snow Processes • Simulation of hydrological processes in glacier basins • Prediction of meltwater runoff • Assessment of the Impact of Climate Change on Ice and Snow Resources • Prediction of Ice and Snow Evolution under Different Climate Scenarios **Application case **: • Hydrological Process Simulation of Alpine Glacier Watersheds • Assessment of ice and snow resources in high-altitude mountainous areas • Analysis of the contribution of meltwater runoff to water resources • Prediction of Ice and Snow Evolution under Different Climate Scenarios • Assessment of the Impact of Ice and Snow Changes on Downstream Water Resource Management **Limitations **: • High demand for computing resources, especially high-resolution simulations • High requirements for the quality and spatial resolution of input data • Coupling with certain climate models requires additional development • The learning curve is steep and requires familiarity with energy balance methods **Input parameters **: • Digital Elevation Model (DEM) • Meteorological data (temperature, precipitation, radiation, etc.) • Physical parameters of ice and snow (albedo, thermal conductivity, etc.) • Watershed characteristic parameters • Simulate time steps and total duration **Output result **: • Distributed changes in ice and snow quality • Surface energy balance component • Runoff rate of meltwater • Changes in snow line height • Prediction results under different climate scenarios
Tag Energy balance distributed simulation hydrological processes meltwater runoff Python High spatial resolution ice and snow resources

National Cryosphere Desert Data Center
(Open Global Glacier Model - OGGM
Author:  None
Open Global Glacier Model: a modular open source model for glacier dynamics
Tag Global Glacier Model Modular Open Source Mass Balanced Python Glacier catalog meltwater runoff

National Cryosphere Desert Data Center
Recess model
Author:  USGS

The recess program is used to determine the decline index and determine the main decline curve from the analysis of runoff records.

Tag streamflow recession

National Cryosphere Desert Data Center
GAWSER（Guelph All-Weather Storm Event Runoff）
Author: 

Gawser is a temperature index snow melting model which can be used to verify the hydrology of the basin. It is most suitable for agricultural or forest watersheds, but can be used to demonstrate the hydrology of other types of watersheds, such as urban or suburban water sheds. Gawser is suitable for basins with different development levels and can be used to show the impact of development on watershed hydrology. For example, in order to observe the hydrological impact of deforestation on agriculture, data can be used to simulate hydrological conditions in forest basins, and then reprogrammed to simulate hydrology in agricultural watersheds. We can study the behavior of runoff, infiltration, base flow and other hydrological conditions in each watershed.

Tag emperature index snowmelt model water-shed hydrology agricultural

National Cryosphere Desert Data Center
The Common Land Model
Author: 

The common land surface model was developed by scientists interested in land model for public use and further development. The main characteristics of the model include sufficient non-uniform interlayer to fully represent soil temperature and soil moisture, and multi-layer parameterization of snow process; clear treatment of liquid water and ice water quality in snow soil system; runoff parameterization under the concept of topmeod; a canopy photosynthetic conductivity model, which describes the simultaneous transfer of carbon dioxide and water vapor in plants; and a model of canopy photosynthesis conductivity; The sub grid fraction of energy and water balance is tiled. CLM has been widely evaluated in offline mode and coupled with the NCAR community climate model (CCM3).

Tag Snow common land Soil Column

National Cryosphere Desert Data Center
Pihm model (Penn State integrated hydraulic model)
Author: 

Pihm is a physical model of land surface and groundwater, closely coupled to GIS interface. Pihmgis is open source, platform independent and extensible. Through the development of shared data model and hydrological model data structure, the close coupling between GIS and model is realized.

Tag continental

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