**Apache Airflow version**: 1.10.8 (Patched with latest AWS Hook)

**Environment**:

- **Cloud provider or hardware configuration**: 4 VCPU 8GB RAM VM
- **OS** (e.g. from /etc/os-release): RHEL 7.7
- **Kernel** (e.g. `uname -a`): Linux 3.10.0-957.el7.x86_64
- **Install tools**:
- **Others**:
The AWS Hook functionality for AssumeRoleWithSAML is not available in this version, we manually added it via patching the hook file.

**What happened**:
We've been using this hook for a while now with this issue, basically sts.assume_role and sts.assume_role_with_saml will return temporary credentials that are only valid for eg 1 hour by default. Eventually with long running operators / hooks / sensors some of them fail because the credentials have expired.

Example error messages
An error occurred (ExpiredTokenException) when calling the AssumeRole operation: Response has expired
An error occurred (ExpiredTokenException) when calling the AssumeRoleWithSAML operation: Response has expired
botocore.exceptions.ClientError: An error occurred (ExpiredTokenException) when calling the <any operation here> operation: The security token included in the request is expired

**What you expected to happen**:

AWS hook should be updated to use boto3 RefreshableCredentials when temporary credentials are in use.

**How to reproduce it**:

Use any of the assume role methods with the AWS Hook, create a session, wait 1 hour (or whatever expiry period applies to your role), and try and use the hook again.

**Anything else we need to know**:

I have a solution, please self-assign this.
airflow/providers/amazon/aws/hooks/base_aws.py
self, sts_client: boto3.client, role_arn: str, assume_role_kwargs: Dict[str, Any]
    ) -> Dict:
        if "external_id" in self.extra_config:  
            assume_role_kwargs["ExternalId"] = self.extra_config.get("external_id")
        role_session_name = f"Airflow_{self.conn.conn_id}"
        self.log.info(
            "Doing sts_client.assume_role to role_arn=%s (role_session_name=%s)",
            role_arn,
            role_session_name,
        )
        return sts_client.assume_role(
            RoleArn=role_arn, RoleSessionName=role_session_name, **assume_role_kwargs
        )
    def _assume_role_with_saml(