Downloading the data#
All data files used in the lecture are available on the QCR webserver.
I provide direct links to files used in the workshops below. There is a lot of information here! I wrote a guide to help you navigate this wealth of data:Which dataset should I use for my project?.
ERA5 data (global)#
Ready to use, global low resolution NetCDF files#
ERA5 is an atmospheric reanalysis product. Note that you can download the data yourself (I provide some sample scripts below), but for a start you can download some files I prepared for you:
Invariant (2D) data:
Monthly surface (3D) data:
ERA5_LowRes_Monthly_t2m.nc: 2m temperature
ERA5_LowRes_Monthly_tp.nc: total precipitation
File naming conventions:
LowResmeans that I asked for a lower spatial resolution than available (0.75° instead of the 0.25° default).Monthlymeans that I averaged the data to calendar monthsMonthlyAvgmeans that I averaged the data to all months (annual cycle)4Dmeans that the data is also available on pressure levelst2mortpare variable namesInvariantmeans that this file contains time invariant fields such as topography or land-sea mask.
Additional ERA5 data from the CDS servers (optional)#
You may want to download ERA5 data yourself if:
you’d like additional variables not listed above
you’d like to use high resolution data (0.25°) instead of the low resolution (0.75°) that I provided
you’d like to download hourly or daily data instead of monthly data
If you want to go this path (optional), you’ll need an account at the Copernicus Data Store
You may want to use their online platform to analyze/download the data, or you can use a script.
Here are a few example scripts to get you started:
script I used to download all the data listed above: download_era5.ipynb
script I used to download the “ultra low res” data listed in the CMIP6 section - the only change is the grid resolution: download_era5_lr.ipynb
script I used to download the high resolution data (0.25°) over West Africa: download_era5_hr_wa.ipynb
Monthly CMIP6 data (global)#
CMIP6 stands for the Coupled Model Intercomparison Project Phase 6. It is a large collection of climate model simulations from many different models and institutions that formed the basis of IPCC AR6. The data is stored on the ESGF (Earth System Grid Federation) servers. Here I provide a subset of the data on my webserver for you to download.
The data below is regridded to a common grid (2° and 0.75°) and averaged to monthly values.
Regridded to 2° resolution#
At 2° resolution, all CMIP6 temperature and precipitation files represent 9.2GB of data.
Projected temperature and precipitation#
This is the list of Earth System Models (ESMs), sometimes still called Global Circulation Models (GCMs) and scenarios for which I provide temperature data. The data is regridded to a common 2° grid and averaged to monthly values:
Monthly temperature at 2° resolution
Monthly precipitation at 2° resolution
If you want to avoid having to click on all files and want to download all files at once, you can use wget. After downloading the list of files provided below, you can use the following command to download all files at once:
wget -i cmip6-tas-list-2deg.txt
list of temperature files: cmip6-tas-list-2deg.txt
list of precipitation files: cmip6-pr-list-2deg.txt
2° resolution ERA5 data#
This is the same ERA5 data as you’ve used so far, but at an even lower resolution of 2°. I’ve coarsened the data even more to match the CMIP6 data available above:
ERA5_UltraLowRes_Invariant.nc: invariant data at 2° resolution
ERA5_UltraLowRes_Monthly_t2m.nc: 2m temperature data at 2° resolution
ERA5_UltraLowRes_Monthly_tp.nc: precipitation data at 2° resolution
Regridded to 0.75° resolution#
At 0.75° resolution, all CMIP6 temperature and precipitation files represent 65GB of data.
Projected temperature and precipitation#
The data is regridded to a common 0.75° grid and averaged to monthly values:
Monthly temperature at 0.75° resolution
Monthly precipitation at 0.75° resolution
If you want to avoid having to click on all files and want to download all files at once, you can use wget. After downloading the list of files provided below, you can use the following command to download all files at once:
wget -i cmip6-tas-list-075deg.txt
list of temperature files: cmip6-tas-list-075deg.txt
list of precipitation files: cmip6-pr-list-075deg.txt
0.75° resolution ERA5 data#
See ERA5 data (global).
CMIP6 data at their original resolution#
See this server for the original resolution files: OGGM server.
Daily ISIMIP6 data (global)#
ISIMIP6 is the Inter-Sectoral Impact Model Intercomparison Project. It is a community-driven modelling effort to understand the impacts of climate change across sectors. It aims at providing a consistent set of climate change projections for impacts assessments, and coordinates the development and application of global and regional impact models.
ISIMIP also provides a set of gridded daily data for a number of climate variables. As explained in Workshop 06, the data consists of a reanalysis dataset (W5E5) and a set of climate model simulations that have been bias corrected to match the reanalysis data.
This represents a lot of data! You will find all of the raw data files on the ISIMIP6 servers, but I downloaded a subset of them and mirrored them on the course’s server. This comprises:
daily W5E5 data for the years 1979-2019 and the variables
tas(2m temperature),pr(precipitation),tasmax(max temperature),tasmin(min temperature), andhurs(relative humidity).daily GFDL-ESM4 data for the years 1850-2100 and the same variables as above, as well as for the scenarios ssp126, ssp370, and ssp585.
The data volume for one variable and all scenarios is about 115 GB. This is a lot of data, and therefore I did not download any other climate model globally. If you are interested in a specific region or timeseries (see below), please let me know and I can prepare the data for you.
Timeseries data#
Weather station data#
The “Global Surface Summary of the Day” database is managed by NOAA. It contains daily weather station data from all over the world. These data are open access by the way! You can download them yourself from the page linked above.
I downloaded the data for the Heathrow weather station near London and provide it here:
I also downloaded Bristol and Cardiff data if you are interested:
Since we can’t trust the current US adminstration to keep this infrastructure running for the duration of the class, I mirred the GSOD readme on our server - you’ll find it here.
Daily precipitation and streamflow from the national river flow archive#
The national river flow archive is a great resource for hydrologist. I downloaded the daily streamflow and precipitation data (search tool) for the Chew river near Bristol (station 53004) and provide it here:
Chew at Compton Dando - Gauged Daily Flow (gdf): 53004_gdf.csv
Chew at Compton Dando - Catchment daily rainfall (cdr): 53004_cdr.csv
Documentation:
Daily timeseries from ISIMIP#
ISIMIP stands for the “Inter-Sectoral Impact Model Intercomparison Project”. I downloaded global daily data for the years 1979-2019 (W5E5) and for 1850-2100 (GFDL-ESM4) for the variables tas (2m temperature), pr (precipitation), tasmax (max temperature), tasmin (min temperature), and hurs (relative humidity). This alltogether represents a bit more than 0.5TB of data. Therefore, I extracted a number of timeseries for you to download. Let me know if you need more locations, or perhaps a specific region!.
The timeseries are available for a number of locations. Visit the following webpage to explore them all:
Data for Workshop 06 (Heathrow)#
For this workshop, we will use the following timeseries at Heathrow airport:
The content of these files is explained in the assignment.
Glacier data#
For Workshop 07, we will use data from the OGGM standard projections. We will use the data organised in river basins, which is a bit more hidden than the globally aggregated files.
All 75 river basins (see workshop 07, lesson 02) are available in a single folder: https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/glaciers/projections_per_basin/. Basins are numbered, and I recommend to download the tar file for the basin you are interested in. These folder contain projection data for the scenarios ssp126 and ssp585.
For workshop 07, you will need three files to get started:
glacier projections for the Rhone basin (id 6243), a netCDF file: 6243.tar.gz
statistics for all glaciers in the world (a csv file): rgi60_stats.csv
the river basins outlines (a shapefile): glacier_basins.zip
Flood workshop data#
For the flood workshop, we prepared a set of dataset for you to download. The data is available in a single zip file, on Sharepoint (access for UoB students only):
Download the file and extract it in the data folder of your repository. The content of the zip file is explained in the assignment.