2_use_case_name: Operational Enterprise Cloud Mask
3_agency: Department of Commerce
3_abr: DOC
4_bureau: NOAA - National Oceanic and Atmospheric Administration
8_topic_area: Science & Space
8_question_type: Operational satellite data product
10_commercial_ai: None of the above.
11_purpose_benefits: Used to create internal ECM algorithm classifiers to optimize cloud detection over different surface types and atmospheric conditions
12_outputs: Cloud detection 
16_dev_stage: Implementation and Assessment
17_impact_type: Neither
18_date_initiated: Pre-2021
19_date_acq_dev_began: Pre-2021
20_date_implemented: Pre-2021
22_dev_method: Developed in-house.
24_hisp_support: No
29_contains_pii: No
30_saop_review: No
31_data_catalog: No
33_agency_data: Data from operational satellites
34_data_docs: Documentation is widely available: Documentation is not only complete, but is widely accessible within the agency, and has an owner and a regular update cadence.
37_custom_code: Yes
38_code_access: Yes – source code is publicly available.
39_code_link: https://gitlab.ssec.wisc.edu/clavrx/clavrx-dev
40_has_ato: No
42_dev_tools_wait: More than 12 months
43_infra_provisioned: Yes
45_compute_request: Yes
47_timely_resources: Yes
49_existing_reuse: Re-use production level code and/or data products: This use case re-uses production level code as well as data products that have been published or made widely available for data science teams for within the agency.
50_internal_review: Documentation has been published: Complete documentation has been published to a repository or data catalog within the agency and is made accessible to other data science teams for review and feedback.
51_extension_request: No – Agency did not request an extension for this use case.
52_impact_assessment: Planned or in-progress.
53_real_world_testing: Impact evaluation in operational environment: The AI use case has been tested in an operational environment before being fully implemented as a solution and has utilized randomized experiments with a control group or other counterfactual, social systems analysis, or other rigorous research methodologies to evaluate impact and identify potential harm to users as well as broader groups of people.
55_independent_eval: Planned or in-progress
56_monitor_postdeploy: Intermittent and Manually Updated: A plan for monitoring the AI use case is in place, and requires data science teams to work with DevOps engineers to manually update models at scheduled intervals, and create metrics to detect data distribution shifts between the operational environment and the training data for the model. 
57_autonomous_impact: No - Some individual decisions or actions require direct human oversight.
59_ai_notice: Online - in the terms or instructions for the service.
61_adverse_impact: No
63_stakeholder_consult: Direct user testing
65_appeal_process: No – it is not operationally practical to offer this.
66_no_appeal_reason: The AI provides scientific guidance for cloud detection.
67_opt_out: Other
67_question_type: This AI use is a component of an operational satellite data production algorithm.   The product is used by atmospheric scientists. Utilization is completely optional.