edu.ucar.opensky::articles:26240
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2025-12-24T19:36:19.067992
ISO 19115-2 Geographic Information - Metadata - Part 2:
Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
https://n2t.org/ark:/85065/d70z777g
https://doi.org/10.14291/TCCON.GGG2014.ANMEYONDO01.R0/1149284
https
Related Dataset #1
TCCON data from Anmeyondo (KR), Release GGG2014.R0
https://doi.org/10.14291/TCCON.GGG2014.ASCENSION01.R0/1149285
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TCCON data from Ascension Island (SH), Release GGG2014.R0
https://doi.org/10.14291/TCCON.GGG2014.BIALYSTOK01.R1/1183984
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TCCON data from Bialystok (PL), Release GGG2014.R1
https://doi.org/10.14291/TCCON.GGG2014.BREMEN01.R0/1149275
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https://doi.org/10.14291/TCCON.GGG2014.EDWARDS01.R1/1255068
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TCCON data from Edwards (US), Release GGG2014.R1
https://doi.org/10.14291/TCCON.GGG2014.GARMISCH01.R2
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TCCON data from Garmisch (DE), Release GGG2014.R2
https://doi.org/10.14291/TCCON.GGG2014.IZANA01.R0/1149295
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TCCON data from Izana (ES), Release GGG2014.R0
https://doi.org/10.14291/TCCON.GGG2014.KARLSRUHE01.R1/1182416
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TCCON data from Karlsruhe (DE), Release GGG2014.R1
https://doi.org/10.14291/TCCON.GGG2014.LAMONT01.R1/1255070
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TCCON data from Lamont (US), Release GGG2014.R1
https://doi.org/10.14291/TCCON.GGG2014.NYALESUND01.R1
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Related Dataset #10
TCCON data from Ny Ã
lesund, Spitsbergen (NO), Release GGG2014.R1
https://doi.org/10.14291/TCCON.GGG2014.ORLEANS01.R0/1149276
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TCCON data from Orléans (FR), Release GGG2014.R0
https://doi.org/10.14291/TCCON.GGG2014.PARIS01.R0/1149279
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TCCON data from Paris (FR), Release GGG2014.R0
https://doi.org/10.14291/TCCON.GGG2014.PARKFALLS01.R1
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https://doi.org/10.14291/TCCON.GGG2014.PASADENA01.R1/1182415
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https://doi.org/10.14291/TCCON.GGG2014.SAGA01.R0/1149283
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https://doi.org/10.14291/TCCON.GGG2014.SODANKYLA01.R0/1149280
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https://doi.org/10.14291/TCCON.GGG2014.TSUKUBA02.R1/1241486
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https://doi.org/10.14291/tccon.ggg2014.fourcorners01.R0/1149272
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https://doi.org/10.14291/tccon.ggg2014.indianapolis01.R1/1330094
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https://doi.org/10.14291/tccon.ggg2014.lauder01.R0/1149293
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https://doi.org/10.14291/tccon.ggg2014.lauder02.R0/1149298
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https://doi.org/10.14291/tccon.ggg2014.wollongong01.R0/1149291
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https://doi.org/10.15138/wkgj-f215
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Earth System Research Laboratory Carbon Cycle and Greenhouse Gases Group Flask-Air Sample Measurements of CO2 at Global and Regional Background Sites, 1967-Present
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Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020
2023-03-31T00:00:00Z
publication
https://n2t.org/ark:/85065/d70z777g
https://doi.org/10.5194/acp-23-3829-2023
AgustÃ-Panareda, A.
author
Barré, Jérôme
author
Massart, S.
author
Inness, A.
author
Aben, I.
author
Ades, M.
author
Baier, B. C.
author
Balsamo, G.
author
Borsdorff, T.
author
Bousserez, N.
author
Boussetta, S.
author
Buchwitz, M.
author
Cantarello, L.
author
Crevoisier, C.
author
Engelen, R.
author
Eskes, H.
author
Flemming, J.
author
Garrigues, S.
author
Hasekamp, O.
author
Huijnen, V.
author
Jones, L.
author
Kipling, Z.
author
Langerock, B.
author
McNorton, J.
author
Meilhac, N.
author
Noël, S.
author
Parrington, M.
author
Peuch, V.
author
Ramonet, M.
author
Razinger, M.
author
Reuter, M.
author
Ribas, R.
author
Suttie, M.
author
Sweeney, C.
author
Tarniewicz, J.
author
Wu, L.
author
UCAR/NCAR - Library
publisher
The Copernicus Atmosphere Monitoring Service (CAMS) has recently produced a greenhouse gas reanalysis (version egg4) that covers almost 2 decades from 2003 to 2020 and which will be extended in the future. This reanalysis dataset includes carbon dioxide (CO2) and methane (CH4). The reanalysis procedure combines model data with satellite data into a globally complete and consistent dataset using the European Centre for Medium-Range Weather Forecasts' Integrated Forecasting System (IFS). This dataset has been carefully evaluated against independent observations to ensure validity and to point out deficiencies to the user. The greenhouse gas reanalysis can be used to examine the impact of atmospheric greenhouse gas concentrations on climate change (such as global and regional climate radiative forcing), assess intercontinental transport, and serve as boundary conditions for regional simulations, among other applications and scientific uses. The caveats associated with changes in assimilated observations and fixed underlying emissions are highlighted, as is their impact on the estimation of trends and annual growth rates of these long-lived greenhouse gases.
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geoscientificInformation