The Effects of Slash and Burn Agriculture Practices in the Amazon on Antarctic Ice Sheets During 2019
by Gehan Boteju and Sudip Chakraborty
Fires in the Amazon forest in 2019
(Purdue News ,2020)
Fire generated from AAR�22nd September 2019; 1800 UTC
Background
Research Question
(NASA GRACE Satellite, 2023)
Domain
This study focuses on the Antarctic region and this plot shows which areas of sea water near Antarctica has gotten warmer, indicated by the red
Category | Parameter | Satellite / data Source | Resolution | Period |
Radiative Properties | Surface temperature | AIRS (netcdf) | Horizontal: 1 degree Temporal: daily | 2018-2020 |
Reflected Shortwave energy at surface; Emitted Longwave energy at Surface, Top of the Atmosphere (TOA) forcing | CERES (netcdf) | Horizontal: 1 degree Temporal: daily | 2018-2020 | |
AAR | AAR data | (https://doi.org/10.25346/S6/CXO9PD, Chakraborty, 2022). MERRA-2. (netcdf and txt) | 0.625° × 0.5° Temporal: 6 hourly | 2018-2020 |
Dynamics | Wind speed at 10 m. u10 and v10 u10: East to West wind v10: North to South wind | ERA interim | 0.25 degree | 2018-2020 |
Oceanic Properties | Sea Surface Sea Surface Temperature | NOAA/NASA (netcdf) | 0.25 degree | 2018-2020 |
Snow and Ice properties | Snow albedo and cover | MODIS (hdf) | 500 m (sinusoidal grid) Temporal: daily | 2018-2020 |
Snow depth, snow cover and Ice images | ICESAT 1 and 2 (hdf) | 25 km
| 2018-2020 | |
Ice melting | MEaSUREs Greenland Surface Melt | SMMR, SSM/I, SSMIS, NIMBUS-7 (hdf) | Horizontal: 25 km Temporal: 1 day, 2 day | 2018-2020 |
Snow thickness altimetry, melt days | ICESAT-1 and 2 (hdf) | 25 km
| 2018-2020 |
Data Preprocessing
Before regriding
After regriding
AIRS Surface Temperature data; 2019
Antarctica Albedo Levels
Nov 1, 2018
Nov 20, 2018
Dec 5, 2018
Dec 5, 2019
Nov 1, 2019
Nov 20, 2019
Feb 1, 2020
Feb 25, 2020
Feb 1, 2019
Feb 25, 2019
Before the fire 2019 season
During the fire 2019 season
After the fire 2019 season
Future plan on causality
Is that snow browning due to the transported aerosols or temperature?
We will analyze the importance of various meteorological parameters using
Random Forest Method to identify which feature is the most important.
Granger causality Analysis to find what causes the melting.
Sources
Thank you