update text in global data

Author: SarahAlidoost

docs/downloading_global_data.md

@@ -3,6 +3,11 @@
 This document outlines which, where and how we download the "global" input data for the
 model.
 
+## Download and prepare data
+
+Tha python package [`zampy`](https://zampy.readthedocs.io/) can be used to
+download and prepare the data.
+
 ## Data of Climate Data store (CDS)
 
 Many of the forcing-related data is available in the era5 reanalysis data.
@@ -27,49 +32,30 @@ For running STEMMUS-SCOPE, global data is also required for the soil initial con
 
 ## CO2 data from Atmosphere Data Store (ADS)
 
-CO2 data is available in the CAMS dataset. An ADS script that can download the
-data is available at `download_scripts/download_CAMS_CO2.py`.
-
-A simple check for the parsing of the data is in `data_analysis_notebooks/parse_CO2_data.ipynb`.
+CO2 data is available in the CAMS dataset. A simple check for the parsing of the
+data is in `global_data/data_analysis_notebooks/parse_CO2_data.ipynb`.
 
 ## Canopy height data from ETH
 
-The canopy height data is described in: https://langnico.github.io/globalcanopyheight/
-
-Get data from:
-https://share.phys.ethz.ch/~pf/nlangdata/ETH_GlobalCanopyHeight_10m_2020_version1/3deg_cogs/
-This can be done with, e.g. a wget command.
-
-The valid filenames are all in `download_scripts/valid_eth_canopy_height_files.txt`.
-
-A simple example for the parsing of the data is in `data_analysis_notebooks/parse_canopy_height.ipynb`.
+The canopy height data is described in:
+[https://langnico.github.io/globalcanopyheight/](https://langnico.github.io/globalcanopyheight/)
+and available
+[here](https://share.phys.ethz.ch/~pf/nlangdata/ETH_GlobalCanopyHeight_10m_2020_version1/3deg_cogs/).
+A simple example for the parsing of the data is in
+`global_data/data_analysis_notebooks/parse_canopy_height.ipynb`.
 
 ## DEM data from Copernicus
 
-To download the DEM data:
-`wget https://prism-dem-open.copernicus.eu/pd-desk-open-access/prismDownload/COP-DEM_GLO-90-DGED__2021_1/Copernicus_DSM_30_N35_00_E012_00.tar`
-unzip and extract tif file.
-
-All valid DEM urls are in `download_scripts/valid_dem_urls.csv`.
-
-A word doc for instructions is available [here](https://spacedata.copernicus.eu/documents/20123/121286/Copernicus+DEM+Open+HTTPS+Access.pdf/36c9adad-8488-f463-af43-573e68b7f481?t=1669283200177)
-
-A simple example for the parsing of the data is in `data_analysis_notebooks/parse_dem.ipynb`.
+A word doc for instructions is available
+[here](https://spacedata.copernicus.eu/documents/20123/121286/Copernicus+DEM+Open+HTTPS+Access.pdf/36c9adad-8488-f463-af43-573e68b7f481?t=1669283200177). A simple example for the parsing of the data is in
+`global_data/data_analysis_notebooks/parse_dem.ipynb`.
 
 ## LAI from Climate Data Store (CDS)
 
-LAI data was retrieved from the CDS. However, there are some downloading issues with
-the `satellite-lai-fapar` dataset. A ticket has been opened at the ECMWF.
-
-The download script for downloading the LAI data is available under `download_scripts/download_FAPAR_LAI.py`.
-
-A simple example for parsing the LAI data is in `data_analysis_notebooks/parse_LAI.py`.
+LAI data was retrieved from the CDS. However, there are some downloading issues
+with the `satellite-lai-fapar` dataset. A simple example for parsing the LAI
+data is in `global_data/data_analysis_notebooks/parse_LAI.py`.
 
 ## Land cover from Climate Data Store (CDS)
 
 Land cover data is available at [https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview).
-
-## Download and prepare data
-
-Tha python package [`zampy`](https://zampy.readthedocs.io/) can be used to
-download and prepare the data.