Probabilistic global maps of the CO 2 column at daily and monthly scales from sparse satellite measurements-Reference-Cited by-同舟云学术

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Probabilistic global maps of the CO 2 column at daily and monthly scales from sparse satellite measurements

Published:2017-07-17 Issue:14 Volume:122 Page:7614-7629
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Chevallier Frédéric¹^ORCID,Broquet Grégoire¹,Pierangelo Clémence²,Crisp David³^ORCID

Affiliation:

1. Laboratoire des Sciences du Climat et de l'EnvironnementCEA‐CNRS‐UVSQ, L'Orme des Merisiers Gif‐sur‐Yvette France

2. Centre National d'Études Spatiales Toulouse France

3. Jet Propulsion LaboratoryCalifornia Institute of Technology Pasadena California USA

Funder

Centre National d’Etudes Spatiales

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD026453

Reference59 articles.

1. Using CO2spatial variability to quantify representation errors of satellite CO2retrievals

2. Natural land carbon dioxide exchanges in the ECMWF integrated forecasting system: Implementation and offline validation

3. A Kalman filter reconstruction of the vertical ozone distribution in an equivalent latitude–potential temperature framework from TOMS/GOME/SBUV total ozone observations

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1. Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations;Remote Sensing;2021-02-05

2. Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information;IEEE Transactions on Geoscience and Remote Sensing;2020-12

3. Inflight Performance of the TanSat Atmospheric Carbon Dioxide Grating Spectrometer;IEEE Transactions on Geoscience and Remote Sensing;2020-07

4. The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network;Atmospheric Chemistry and Physics;2019-08-02

5. Investigating regional source and sink patterns of Alpine CO2 and CH4 concentrations based on a back trajectory receptor model;Environmental Sciences Europe;2019-07-31

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