ncdc logo title
ncdc_logo
Tag:气象
  • 选择排序选项
  •    model title
  •    submit time
  •    update time
  •    browse times
  •    download times
  •    recommend times

National Cryosphere Desert Data Center
Community Ice Sheet Model - CISM
Author:  None
Community Ice Sheet Model
Tag Heat transfer None None None None None None

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
Shallow Ice Approximation Flux Limiter - sia-fluxlim
Author:  None
MUSCL-superbee flux limiter implementation for finite difference shallow ice approximation flow code
Tag Flux limiter MUSCL-superbee Shallow ice approximation numerical stability finite difference shock wave treatment discontinuous solution

National Cryosphere Desert Data Center
Continental Scale Ice Flow Mode - Úa
Author:  None
A large-scale ice flow model
Tag Continental scale ice flow models numerical methods ice sheet evolution C++ High performance computing Greenland Ice Sheet

National Cryosphere Desert Data Center
Finite Volume Ice Sheet Model - UFEMISM
Author:  None
Utrecht Finite Volume Ice Sheet Model
Tag Finite volume method ice sheet model conservation of mass large-scale simulation Fortran Base flux conservation law equation

National Cryosphere Desert Data Center
Applying the usle-m within the agricultural non point source pollution model
Author: 

In the AgNPs model, the universal soil loss equation (USLE) is used to predict the erosion of a single rainfall event, even if USLE is not suitable for this purpose. A new improvement of USLE is more suitable for predicting the erosion of events, and also provides a mechanism for calculating the impact of slope runoff on erosion, which is not available in USLE.

Tag Catchment scale modelling Water quality Rainfall erosion

National Cryosphere Desert Data Center
Multi information analysis and intelligent scheduling decision support platform for flood disasters
Author:  YU Yue
Tag

National Cryosphere Desert Data Center
Glacier Calving Experimental Model - cryo_calving_2019
Author:  None
Experiments adding a minimal frontal ablation model to OGGM
Tag Glacier collapse OGGM Quality balance climate change Python

National Cryosphere Desert Data Center
glacier-flow-model
Author:  None,None
Glacier flow modeling based on mass balance and digital elevation models
Tag Glacier flow digital elevation model mass balance climate change Python Front end location disaster risk

National Cryosphere Desert Data Center
Positive Degree-Day Glacier Mass Balance Model - pypdd
Author:  None
Pypdd is a positive accumulated temperature glacier surface mass balance model that calculates glacier melting by accumulating temperature degrees above zero. **Historical background **: PyPDD was developed by the PyPDD team with the aim of providing a simple and effective positive accumulated temperature model to support glacier surface mass balance calculations. The development of this model responds to the demand for rapid assessment of large-scale glacier melting **Technical features **: • Using the positive accumulated temperature method to calculate glacier melting, with a simple structure and few parameters • Support rapid assessment of large-scale glacier mass balance • Analyze the impact of climate change on glacier melting • Estimate glacier runoff and water resources • Seamless integration with the Python scientific ecosystem • High computational efficiency, suitable for large-scale applications **Core functions **: • Calculation of glacier surface mass balance • Rapid assessment of large-scale glacier melting • Analysis of the impact of climate change on glacier melting • Glacier runoff and water resource estimation • Prediction of glacier mass balance under different climate scenarios **Application case **: • Global monitoring of glacier mass balance changes • Glacier melting prediction under different climate scenarios • Assessment of the contribution of glacier runoff to water resources • Sensitivity analysis of mountain glaciers to climate change • Glacier Change Prediction in Glacier Tourist Areas **Limitations **: • Simplified the process of glacier energy balance, which may affect accuracy • Depends on the quality and spatial distribution of temperature data • Unable to simulate the detailed physical processes inside glaciers • Limited ability to simulate responses to extreme climate events • Mainly applicable to seasonal snow accumulation and glacier surface processes **Input parameters **: • Temperature data (daily average temperature or monthly average temperature) • Precipitation data • Positive accumulated temperature factor (ablation coefficient) • Altitude gradient parameters • Simulate time steps and total duration **Output result **: • Glacier surface mass balance • Ablation volume and accumulation volume • Glacier runoff estimation • Prediction results under different climate scenarios
Tag Positive accumulated temperature model glacier melting mass balance water resources Python Rapid assessment climate change

©Copyright 2005-. Northwest Institute of Eco-Environment and Resources, CAS.

Donggang West Road 320, Lanzhou, Gansu, China (730000)