https://github.com/a9na/greenland-mass-change-simulation

This project simulates projecting range acceleration, liquid water equivalent (LWE), and mass concentrations over Greenland using synthetic data.
https://github.com/a9na/greenland-mass-change-simulation

Last synced: about 2 months ago
JSON representation

This project simulates projecting range acceleration, liquid water equivalent (LWE), and mass concentrations over Greenland using synthetic data.

• Host: GitHub
• URL: https://github.com/a9na/greenland-mass-change-simulation
• Owner: a9na
• Created: 2024-07-29T19:16:13.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-30T02:24:01.000Z (5 months ago)
• Last Synced: 2024-07-31T01:48:22.106Z (5 months ago)
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Greenland Mass Change Simulation

This project simulates projecting range acceleration, liquid water equivalent (LWE), and mass concentrations over Greenland using synthetic data.

Explanation:

Synthetic Data Generation: We generate synthetic monthly mass change data for 10 years. The np.cumsum(np.random.normal(0, 10, len(dates))) function creates a cumulative sum of normally distributed random values to simulate the mass change over time.

DataFrame Creation: The synthetic data is stored in a Pandas DataFrame and the date is set as the index.

Mass Change Plot: The mass change over time is plotted using Matplotlib.

Liquid Water Equivalent (LWE) Calculation: The LWE is calculated from the mass change data. The mass change is converted to kilograms (1 Gt = 10^12 kg) and then divided by the area of Greenland to get LWE in meters. This is then converted to millimeters.

LWE Plot: The LWE over time is plotted.

Range Acceleration Calculation: The gradient of the mass change is calculated to represent the range acceleration.

Range Acceleration Plot: The range acceleration over time is plotted.

Notes:

This is a simplified example to demonstrate the process. Real-world data from GRACE satellites would require more sophisticated handling and preprocessing.