# xarray.DataArray.load_async

#### *async* DataArray.load_async(\*\*kwargs)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L1309-L1344)

Trigger and await asynchronous loading of data into memory and return this dataarray.

Data will be computed and/or loaded from disk or a remote source.

Unlike `.compute`, the original dataarray is modified and returned.

Only works when opening data lazily from IO storage backends which support lazy asynchronous loading.
Otherwise will raise a NotImplementedError.

Note users are expected to limit concurrency themselves - xarray does not internally limit concurrency in any way.

* **Parameters:**
  **\*\*kwargs** ([`dict`](https://docs.python.org/3/builtins/stdtypes.html#dict)) – Additional keyword arguments passed on to `dask.compute`.
* **Returns:**
  **object** (`Dataarray`) – Same object but with lazy data and coordinates as in-memory arrays.

#### SEE ALSO
[`dask.compute`](https://docs.dask.org/en/latest/api.html#dask.compute), [`DataArray.compute`](xarray.DataArray.compute.html.md#xarray.DataArray.compute), [`DataArray.load`](xarray.DataArray.load.html.md#xarray.DataArray.load), [`Dataset.load_async`](xarray.Dataset.load_async.html.md#xarray.Dataset.load_async), [`Variable.load_async`](xarray.Variable.load_async.html.md#xarray.Variable.load_async)