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All data files used in the lecture are available on [this webserver](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/).
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## ERA5 data
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I provide direct links to the most important files below.
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### Ready to use, low resolution NetCDF files
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[ERA5](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5) is an atmospheric reanalysis product. We will use it a lot! 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:
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(era5-075)=
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## ERA5 data (global)
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### Ready to use, global low resolution NetCDF files
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[ERA5](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5) 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:
-[ERA5_LowRes_Monthly_t2m.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_LowRes_Monthly_t2m.nc): 2m temperature
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-[ERA5_LowRes_Monthly_tp.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_LowRes_Monthly_tp.nc): total precipitation
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-[ERA5_LowRes_Monthly_t2m.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_LowRes/ERA5_LowRes_Monthly_t2m.nc): 2m temperature
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-[ERA5_LowRes_Monthly_tp.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_LowRes/ERA5_LowRes_Monthly_tp.nc): total precipitation
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**File naming conventions**:
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- you'd like additional variables not listed above
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- you'd like to use high resolution data (0.25°) instead of the low resolution (0.75°) that I provided
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- you'd like to download hourly or daily
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- you'd like to download hourly or daily data instead of monthly data
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If you want to go this path (**optional**), you'll need an account at the [Copernicus Data Store](https://cds.climate.copernicus.eu)
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You may want to use their online platform to analyze/download the data, or you can use a script. To get you started, [here](https://nbviewer.org/urls/cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/download_era5.ipynb) is the script I use to download all the data listed above.
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You may want to use their online platform to analyze/download the data, or you can use a script.
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Here are a few example scripts to get you started:
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- script I used to download all the data listed above: [download_era5.ipynb](https://nbviewer.org/urls/cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/download_era5.ipynb)
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- 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](https://nbviewer.org/urls/cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/download_era5.ipynb)
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- script I used to download the high resolution data (0.25°) over West Africa: [download_era5_hr_wa.ipynb](https://nbviewer.org/urls/cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/download_era5_hr_wa.ipynb)
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## Monthly CMIP6 data (global)
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CMIP6 stands for the [Coupled Model Intercomparison Project Phase 6](https://pcmdi.llnl.gov/CMIP6/). 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](https://esgf-node.llnl.gov/projects/cmip6/) (Earth System Grid Federation) servers. Here I provide a subset of the data on my webserver for you to download.
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The data below is regridded to a common grid (2° and 0.75°) and averaged to monthly values.
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### Regridded to 2° resolution
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At 2° resolution, all CMIP6 temperature and precipitation files represent **9.2GB** of data.
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#### Projected temperature and precipitation
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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:
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```{include} cmip6-list-2deg.md
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```
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**If you want to avoid having to click on all files and want to download all files at once**, you can use [wget](https://en.wikipedia.org/wiki/Wget). After downloading the list of files provided below, you can use the following command to download all files at once:
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```bash
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wget -i cmip6-tas-list-2deg.txt
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```
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- list of temperature files: [cmip6-tas-list-2deg.txt](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/cmip6-tas-list-2deg.txt)
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- list of precipitation files: [cmip6-pr-list-2deg.txt](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/cmip6-pr-list-2deg.txt)
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#### 2° resolution ERA5 data
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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:
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## CMIP6 data
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-[ERA5_UltraLowRes_Invariant.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_UltraLowRes/ERA5_UltraLowRes_Invariant.nc): invariant data at 2° resolution
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-[ERA5_UltraLowRes_Monthly_t2m.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_UltraLowRes/ERA5_UltraLowRes_Monthly_t2m.nc): 2m temperature data at 2° resolution
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-[ERA5_UltraLowRes_Monthly_tp.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_UltraLowRes/ERA5_UltraLowRes_Monthly_tp.nc): precipitation data at 2° resolution
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CMIP6 stands for the [Coupled Model Intercomparison Project Phase 6](https://pcmdi.llnl.gov/CMIP6/). 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](https://esgf-node.llnl.gov/projects/cmip6/) (Earth System Grid Federation) servers. Here I provide a subset of the data on my webserver for you to download. The data is already regridded to a common 2° grid and averaged to monthly values.
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### Regridded to 0.75° resolution
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### "Ultra" low resolution ERA5 data
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At 0.75° resolution, all CMIP6 temperature and precipitation files represent **65GB** of data.
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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 reduce the volume of climate projection data you'll have to manipulate for the assignments. **These datasets should only be used as reference historical data for the CMIP assignments.**
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#### Projected temperature and precipitation
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-[ERA5_UltraLowRes_Invariant.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_UltraLowRes_Invariant.nc): invariant data at 2° resolution
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-[ERA5_UltraLowRes_Monthly_t2m.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_UltraLowRes_Monthly_t2m.nc): 2m temperature data at 2° resolution
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-[ERA5_UltraLowRes_Monthly_tp.nc](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ERA5_UltraLowRes_Monthly_tp.nc): precipitation data at 2° resolution
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The data is regridded to a common 0.75° grid and averaged to monthly values:
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### CMIP6 1979-2100 temperature data
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```{include} cmip6-list-075deg.md
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```
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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 already regridded to a common 2° grid and averaged to monthly values.
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**If you want to avoid having to click on all files and want to download all files at once**, you can use [wget](https://en.wikipedia.org/wiki/Wget). After downloading the list of files provided below, you can use the following command to download all files at once:
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```{include} cmip6-list.md
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```bash
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wget -i cmip6-tas-list-075deg.txt
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```
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- list of temperature files: [cmip6-tas-list-075deg.txt](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/cmip6-tas-list-075deg.txt)
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- list of precipitation files: [cmip6-pr-list-075deg.txt](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/notebooks/cmip6-pr-list-075deg.txt)
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#### 0.75° resolution ERA5 data
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See [](era5-075).
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### CMIP6 data at their original resolution
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See this server for the original resolution files: [OGGM server](https://cluster.klima.uni-bremen.de/~oggm/cmip6/).
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## Daily ISIMIP6 data (global)
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ISIMIP6 is the [Inter-Sectoral Impact Model Intercomparison Project](https://www.isimip.org/). 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.
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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](https://www.isimip.org/gettingstarted/input-data-bias-adjustment/details/114/)) and a set of climate model simulations that have been bias corrected to match the reanalysis data.
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This represents a lot of data! You will find all of the raw data files on the [ISIMIP6 servers](https://data.isimip.org/search/), but I downloaded a subset of them and mirrored them on [the course's server](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ISIMIP/raw_dl/). This comprises:
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-[daily W5E5 data](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ISIMIP/raw_dl/W5E5/) for the years 1979-2019 and the variables `tas` (2m temperature), `pr` (precipitation), `tasmax` (max temperature), `tasmin` (min temperature), and `hurs` (relative humidity).
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-[daily GFDL-ESM4 data](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/ISIMIP/raw_dl/GFDL/) for the years 1850-2100 and the same variables as above, as well as for the scenarios ssp126, ssp370, and ssp585.
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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.**
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## Timeseries data
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### Weather station data
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### Daily precipitation and streamflow from the national river flow archive
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The [national river flow archive](https://nrfa.ceh.ac.uk) is a great resource for hydrologists. I downloaded the daily streamflow and precipitation data for the Chew river near Bristol ([station 53004](https://nrfa.ceh.ac.uk/data/station/meanflow/53004)) and provide it here:
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The [national river flow archive](https://nrfa.ceh.ac.uk) is a great resource for hydrologist. I downloaded the daily streamflow and precipitation data ([search tool](https://nrfa.ceh.ac.uk/data/search)) for the Chew river near Bristol ([station 53004](https://nrfa.ceh.ac.uk/data/station/meanflow/53004)) and provide it here:
[ISIMIP](https://www.isimip.org/) stands for the "Inter-Sectoral Impact Model Intercomparison Project".
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It is a community-driven modelling effort to understand the impacts of climate change across sectors.
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It aims at providing a consistent set of climate change projections for impacts assessments, and coordinates
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the development and application of global and regional impact models.
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ISIMIP also provides a set of gridded daily data for a number of climate variables. This represents a lot of data, and therefore I provide only a selection of timeseries here. **Do not hesitate to keep in touch if you would like me to prepare more data for you**.
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[ISIMIP](https://www.isimip.org/) 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!**.
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The timeseries for precipitation and temperature are available for a number of locations. Visit the following webpage to explore them all:
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The timeseries are available for a number of locations. Visit the following webpage to explore them all:
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- statistics for all glaciers in the world (a csv file): [rgi60_stats.csv](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/glaciers/rgi60_stats.csv)
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- the river basins outlines (a shapefile): [glacier_basins.zip](https://cluster.klima.uni-bremen.de/~fmaussion/teaching/qcr/glaciers/glacier_basins.zip)
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## Flood workshop data
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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):
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