Abhinav Kumar

After you run all the cells in the graphcast_demo.ipynb, the predictions can be seen in the "Run the model > Autoregressive rollout (loop in Python)" tab. The output is in...

You can get custom input data using the CDS API. Just make sure the data ends up in the same format as the one in the demo.

``` import cdsapi c = cdsapi.Client() c.retrieve( 'reanalysis-era5-pressure-levels', { 'product_type': 'reanalysis', 'format': 'netcdf', 'variable': [ 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind', 'vertical_velocity', ], 'year': '2023', 'month': '11', 'day': '01', 'time': [...

``` import datetime import math import pandas as pd import xarray def getTrigVals(dt:datetime.datetime): DAY_IN_SECONDS = 24 * 60 * 60 YEAR_IN_SECONDS = 365.25 * DAY_IN_SECONDS year_start = datetime.datetime(year = dt.year,...

> > ``` > > import datetime > > import math > > import pandas as pd > > import xarray > > > > def getTrigVals(dt:datetime.datetime): > > >...

> As someone who is relatively new to xarray could you ELI5 how to create the datetime coordinate and add it to the dataset because I seem to be struggling...

> After inputting the data using the above method, how to output the prediction results using graphcast's source code If your input is correctly formatted, then the predictions will be...

> I have the CDS data and running the code that @abhinavyesss kindly provided as is gives me an xarray dataset that looks like this:  The dataset produced from...

> > > After inputting the data using the above method, how to output the prediction results using graphcast's source code > > > > > > If your input...

> Hello,I wonder how to create the target data manually and get the forcing data, could you please show me your domeo code, that will be a great help to...