... | ... | @@ -16,9 +16,13 @@ Most of the data sets are updated once or twice per year adding the most recent |
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## Rasdaman metadata
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* Coverage name:nox__cams
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file: [nox_sum__cams.json](uploads/5892a6dede1daff74f8e65a148fc847c/nox_sum__cams.json) [Available on EnterpriseCube!]
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**Attention:** To upload files the year must be changed manually in the data path and Time-axis description (min, max, and direct positions)
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* Coverage name:nox_sum__cams
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* Dimensions: Time, Lat, Lon [WGS84 (EPSG:4326)]
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* Field name: <see data, 13 variables included>
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* Field name: nox_emission_all
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* Coverage metadata:
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* units: kg m-2 s-1
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* start_date: 01.01.2000
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* data_source: https://atmosphere.copernicus.eu/sites/default/files/2019-06/cams_emissions_general_document_apr2019_v7.pdf
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* data_url: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-emission-inventories?tab=overview
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* data_description: Natural and anthropogenic emissions of atmospheric pollutants and greenhouse gases are key drivers of the evolution of the composition of the atmosphere, so an accurate representation of them in forecast models of atmospheric composition is essential. CAMS compiles inventories of emission data that serve as input to its own forecast models, but which can also be used by other atmospheric chemical transport models. These inventories are based on a combination of existing data sets and new information, describing anthropogenic emissions from fossil fuel use on land, shipping, and aviation, and natural emissions from vegetation, soil, the ocean and termites. The anthropogenic emissions on land are further separated in specific activity sectors (e.g., power generation, road traffic, industry). The CAMS emission data sets provide good consistency between the emissions of greenhouse gases, reactive gases, and aerosol particles and their precursors. Because most inventory-based data sets are only available with a delay of several years, the CAMS emission inventories also extend these existing data sets forward in time by using the trends from the most recent available years, producing timely input data for real-time forecast models.
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* fill_value: none
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* fill_value: None
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* citation: Granier, C., S. Darras, H. Denier van der Gon, J. Doubalova, N. Elguindi, B. Galle, M. Gauss, M. Guevara, J.-P. Jalkanen, J. Kuenen, C. Liousse, B. Quack, D. Simpson, K. Sindelarova The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version) Report April 2019 version null 2019 Elguindi, Granier, Stavrakou, Darras et al. Analysis of recent anthropogenic surface emissions from bottom-up inventories and top-down estimates: are future emission scenarios valid for the recent past? Earth\'s Future null submitted 2020
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* version: v4.2
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* download_date: 02.03.2022
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* upload_date: 14.03.2022
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* modification_date: 14.03.2022
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* terms_of_use: https://ads.atmosphere.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
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