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| 1 | +# Global data for STEMMUS_SCOPE |
| 2 | + |
| 3 | +This document outlines which, where and how we download the "global" input data for the |
| 4 | +model. |
| 5 | + |
| 6 | +## Data of Climate Data store (CDS) |
| 7 | + |
| 8 | +Many of the forcing-related data is available in the era5 reanalysis data. |
| 9 | + |
| 10 | +**era5 variables**: |
| 11 | + |
| 12 | +- mean_total_precipitation_rate |
| 13 | +- surface_thermal_radiation_downwards |
| 14 | +- surface_solar_radiation_downwards |
| 15 | +- surface_pressure |
| 16 | +- 10m_u_component_of_wind |
| 17 | +- 10m_v_component_of_wind |
| 18 | + |
| 19 | +**era5-land variables**: |
| 20 | + |
| 21 | +- 2m_temperature |
| 22 | +- 2m_dewpoint_temperature |
| 23 | + |
| 24 | +**era5-land soil initial conditions**: |
| 25 | + |
| 26 | +For running STEMMUS-SCOPE, global data is also required for the soil initial conditions. These are retrieved from ERA5-land. |
| 27 | + |
| 28 | +## CO2 data from Atmosphere Data Store (ADS) |
| 29 | + |
| 30 | +CO2 data is available in the CAMS dataset. An ADS script that can download the |
| 31 | +data is available at `download_scripts/download_CAMS_CO2.py`. |
| 32 | + |
| 33 | +A simple check for the parsing of the data is in `data_analysis_notebooks/parse_CO2_data.ipynb`. |
| 34 | + |
| 35 | +## Canopy height data from ETH |
| 36 | + |
| 37 | +The canopy height data is described in: https://langnico.github.io/globalcanopyheight/ |
| 38 | + |
| 39 | +Get data from: |
| 40 | +https://share.phys.ethz.ch/~pf/nlangdata/ETH_GlobalCanopyHeight_10m_2020_version1/3deg_cogs/ |
| 41 | +This can be done with, e.g. a wget command. |
| 42 | + |
| 43 | +The valid filenames are all in `download_scripts/valid_eth_canopy_height_files.txt`. |
| 44 | + |
| 45 | +A simple example for the parsing of the data is in `data_analysis_notebooks/parse_canopy_height.ipynb`. |
| 46 | + |
| 47 | +## DEM data from Copernicus |
| 48 | + |
| 49 | +To download the DEM data: |
| 50 | +`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` |
| 51 | +unzip and extract tif file. |
| 52 | + |
| 53 | +All valid DEM urls are in `download_scripts/valid_dem_urls.csv`. |
| 54 | + |
| 55 | +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) |
| 56 | + |
| 57 | +A simple example for the parsing of the data is in `data_analysis_notebooks/parse_dem.ipynb`. |
| 58 | + |
| 59 | +## LAI from Climate Data Store (CDS) |
| 60 | + |
| 61 | +LAI data was retrieved from the CDS. However, there are some downloading issues with |
| 62 | +the `satellite-lai-fapar` dataset. A ticket has been opened at the ECMWF. |
| 63 | + |
| 64 | +The download script for downloading the LAI data is available under `download_scripts/download_FAPAR_LAI.py`. |
| 65 | + |
| 66 | +A simple example for parsing the LAI data is in `data_analysis_notebooks/parse_LAI.py`. |
| 67 | + |
| 68 | +## Land cover from Climate Data Store (CDS) |
| 69 | + |
| 70 | +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). |
| 71 | + |
| 72 | +## Download and prepare data |
| 73 | + |
| 74 | +Tha python package [`zampy`](https://zampy.readthedocs.io/) can be used to |
| 75 | +download and prepare the data. |
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