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CAMS
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CAMS Global Nitrogen Emission
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================================
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This was a special dataset provided to TOAR-1 by Chris McLinden at Environment and Climate Change Canada
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from old database description:
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------------------------------
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Average Y2011-Y2015 tropospheric NO2 columns from OMI at 0.1 degree resolution in units of 10^15 molecules cm-2.
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[extract_omi_no2.py](uploads/6393c5030434649425f5030252003215/extract_omi_no2.py)
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from IntelliAQ_Datasets_old_proposal_version.docx:
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--------------------------------------------------
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OMI tropospheric NO2 column density at 0.1° resolution
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Krotkov et al., 2016 (no public download)
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5-year average (2011-2015), used in the characterization of stations as proxy for NOx emissions
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There should be additional information in the metadata of the file or in a README file
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## Rasdaman metadata
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* Coverage name:
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* Dimensions:
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* Field name:
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* Coverage name:nox__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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* Coverage metadata:
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* units:
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* start_date:
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* end_date:
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* data_source:
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* data_url:
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* data_description:
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* fill_value:
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* citation:
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* version:
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* units: kg m-2 s-1
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* start_date: 01.01.2000
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* end_date: 31.12.2020
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* data_source: EDGARv4.3.2 emissions up to 2010 and CEDS emissions up to 2014
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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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* 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:
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* terms_of_use:
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