-
# Challenge 23- Mapping Emissions of Air Pollutants
> **Stream 2** - Machine Learning for weather, climate and atmosphere applications
### Goal
Derive suitable proxies for spatial and tempora…
-
Hi guys,
when trying to extract a 2m surface temperature time series for a specific location, extract_clim() returns the Error:
`in hyper_filter.tidync(., longitude = longitude == long, latitude = l…
-
Probably required for dowscaling CC BY 4.0 data (CMIP6, ERA5)
```json
{
"attribution": "CORDEX model data is based on downscaling driving data produced by using the regional model . The dri…
-
The era5 analysis data set uses the gl sampling
-
General stability:
- unload `tidyverse` to avoid parallel processing errors and reload on exit
Switch spatial object handling to:
- `terra` (terra dev version on MacOS (install.packages("terra", …
-
First of, great work with the library so far!! This is significantly better than what currently exists out there.
Many energy systems models can be extremely sparse. For example, in one recent case…
-
Following discussion with Francesca Vittorioso and Ali Aydogdu, check whether restart files created by the model do indeed restart the model state, upto the DG0 term.
-
I want to use `.load_xarray()` on marrmot forcing. When I run:
```python
marrmot_output = forcing.generate(
model='marrmot',
dataset='ERA5',
startyear=1990,
endyear=1990,
…
-
I am trying to read data from ERA5 data with the package https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview
The file is 300 MB so I have not attached it he…
-
Hi OpenOA team,
I have been trying to use your code for my datasets. I'm facing lot of errors. I'm following the exact formatting as in your example files but I could not get merra2 and era5 data s…