{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author": "", "author_email": null, "contact_point": "unknown", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "f29224e6-4bc0-4137-9ca2-ab1e65003375", "isopen": false, "license_id": "CC-BY-4.0", "license_title": "CC-BY-4.0", "maintainer": "", "maintainer_email": "", "metadata_created": "2026-01-10T07:40:19.996732", "metadata_modified": "2026-01-10T07:40:22.186484", "name": "solar_irradiance_weather_irradiance", "notes": "This dataset contains hourly weather station temperature records that underpin all photovoltaic potential calculations in the Kalgoorlie-Boulder solar assessment collection. It provides the climate foundation essential for understanding and validating the irradiance and PV potential outputs.\n\nThe dataset consists of hourly temperature observations (\u00b0C) extracted from TMYx (Typical Meteorological Year) climate files for Kalgoorlie-Boulder Airport (2004-2018) weather station. These values are used to apply temperature-dependent efficiency adjustments to PV panel performance calculations, as solar panel output decreases with rising temperatures above 25\u00b0C standard test conditions.\n\nUsers can reference this data to verify climate inputs, understand the meteorological context of PV estimates, or conduct sensitivity analyses showing how temperature variations affect system performance. It is particularly valuable for researchers validating the methodology, engineers developing refined performance models, or policy analysts assessing climate scenario impacts on solar generation.\n\nThe data represents synthesised typical hourly conditions throughout the year based on historic weather conditions rather than actual hourly observations, designed to capture characteristic patterns while smoothing extreme anomalies. This approach ensures PV estimates reflect long-term average conditions suitable for planning purposes.\n\nThis dataset complements the georeferenced irradiance and potential datasets in the collection by providing a temporal climate context. For spatial PV analysis, users should reference the footprint-based datasets that incorporate these temperature values into location-specific calculations.\n\nComprehensive technical documentation, including data dictionary, usage examples, and processing methodology, is available in <a href=\"https://resources.aurin.org.au/ckan/resources/DataSet-Information.pdf\">here</a>; software stack details and calculation workflows are documented in <a href=\"https://resources.aurin.org.au/ckan/resources/Software_Stack.pdf\">here</a>.", "num_resources": 1, "num_tags": 5, "organization": {"id": "b0429d6f-82d8-4c5f-9325-37b64b9b1c48", "name": "school-of-electrical-engineering-computing-and-mathematical-sciences-curtin-university-australian-ur", "title": "School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University", "type": "organization", "description": "Our school brings together Curtin\u2019s core capabilities across electrical engineering, computing, physics and mathematics, to better understand and advance our data-driven world. We have built substantial knowledge in machine learning, cyber security, statistics and optimisation, digital transformation, radio astronomy, the Internet of Things, signal processing, embedded systems, renewable and power engineering. The school offers a range of undergraduate and postgraduate courses across these areas, which give students the skills they need to tackle the challenges of the future. The school attracts millions of dollars of research income each year, the majority of which is from industry, reflecting the focus of the school on demand driven research. The school is home to some of the largest institutes and centres at Curtin.", "image_url": "", "created": "2025-11-15T22:58:53.507896", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://data.aurin.org.au/", "href": "https://data.aurin.org.au/dataset/solar_irradiance_weather_irradiance", "title": "Australian Urban Research Infrastructure Network"}, "original_name": "solar_irradiance_weather_irradiance", "owner_org": "b0429d6f-82d8-4c5f-9325-37b64b9b1c48", "private": false, "promotion_level": "0", "remote_last_updated": "2025-12-24T03:01:43.491775", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[121.42359807500652, -30.803203268101967], [121.53928549242828, -30.803203268101967], [121.53928549242828, -30.71136853194179], [121.42359807500652, -30.71136853194179], [121.42359807500652, -30.803203268101967]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[121.42359807500652, -30.803203268101967], [121.53928549242828, -30.803203268101967], [121.53928549242828, -30.71136853194179], [121.42359807500652, -30.71136853194179], [121.42359807500652, -30.803203268101967]]]}", "state": "active", "temporal_coverage_from": "2025-12-24 03:00:50.008706", "title": "Kalgoorlie\u2013Boulder Photo-Voltaic (PV) Potential Maps: Weather Data", "type": "dataset", "unpublished": false, "url": "", "version": "", "extras": [{"key": "harvest_object_id", "value": "e0173f0d-e8f3-468c-86ce-5a8bccaac907"}, {"key": "harvest_source_id", "value": "3b753826-54f7-43e3-8246-4b09aaee723f"}, {"key": "harvest_source_title", "value": "Australian Urban Research Infrastructure Network"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-12-24T03:00:50.010580", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Download this dataset via the AURIN Download Manager", "format": "HTML", "hash": "", "id": "b4c5a594-fbc1-495d-9d19-d3d7d261d693", "last_modified": null, "metadata_modified": "2026-01-10T07:40:22.194076", "mimetype": null, "mimetype_inner": null, "name": "AURIN Download Manager", "package_id": "f29224e6-4bc0-4137-9ca2-ab1e65003375", "position": 0, "resource_type": "file", "size": null, "state": "active", "url": "https://adp-access.aurin.org.au//dataset/solar_irradiance_weather_irradiance", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "PV Potential", "id": "3fc5ffe2-14f8-4d48-93cf-8d0f243a44fa", "name": "PV Potential", "state": "active", "vocabulary_id": null}, {"display_name": "PV Rooftops", "id": "2612481d-6d17-4a49-b711-743a47df5eaa", "name": "PV Rooftops", "state": "active", "vocabulary_id": null}, {"display_name": "Photo-Voltaic", "id": "10b08dc0-473f-4a27-ae96-a73848a59109", "name": "Photo-Voltaic", "state": "active", "vocabulary_id": null}, {"display_name": "Solar Irradiance Estimation", "id": "b492f980-23aa-4324-bf8a-d8a622d2837a", "name": "Solar Irradiance Estimation", "state": "active", "vocabulary_id": null}, {"display_name": "Urban Rooftop Aggregation", "id": "938017db-5128-4f59-b7a0-30218ff142a2", "name": "Urban Rooftop Aggregation", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}