esowc_note

Exploratory Notebooks for ESoWC 2019

ESoWC 2019 - Machine learning to better predict and understand drought.

Using ECMWF/Copernicus open datasets to evaluate machine learning techniques for the prediction of droughts.

Name		Name	Last commit message	Last commit date
Latest commit History 134 Commits
.vscode		.vscode
0_kratzert		0_kratzert
ai_workshop		ai_workshop
analysis_process		analysis_process
analysis_scripts		analysis_scripts
atzberger_ndvi		atzberger_ndvi
data		data
docs		docs
dynamic_dataloader		dynamic_dataloader
example_scripts		example_scripts
notebooks		notebooks
paper		paper
running_models		running_models
runoff		runoff
seas5		seas5
src		src
stratosphere		stratosphere
writing		writing
.gitignore		.gitignore
README.md		README.md
Untitled		Untitled
Untitled-1		Untitled-1
VHIpreprocessor.py		VHIpreprocessor.py
__init__.py		__init__.py
analysis_aggregation.py		analysis_aggregation.py
climate_indices.py		climate_indices.py
east_africa_meeting_oxford.md		east_africa_meeting_oxford.md
elevation_download.py		elevation_download.py
environment.mac.yml		environment.mac.yml
era5_land.py		era5_land.py
exploring_the_input_data.py		exploring_the_input_data.py
init_runoff_test.py		init_runoff_test.py
load_autoregressive.py		load_autoregressive.py
make_xarray_objects.py		make_xarray_objects.py
ndvi.py		ndvi.py
ndvi_preprocessor.py		ndvi_preprocessor.py
ouce_test.py		ouce_test.py
plot_multiple_joint_dist.py		plot_multiple_joint_dist.py
plot_vci_spatial.py		plot_vci_spatial.py
readme_dummy.md		readme_dummy.md
sklearn_demo.py		sklearn_demo.py
stan_demo.py		stan_demo.py
test_exporters.py		test_exporters.py
test_vhi.py		test_vhi.py