Philippe Ciais - Concepedia

Author

Philippe Ciais

Laboratoire des Sciences du Climat et de l'Environnement

Also Known As

Ciais, P., Ciais, Philippe, Kim Holmén, Philippe Ciais

Publications

471

Citations

H-Index

Concepts

All Affiliations

Laboratoire des Sciences du Climat et de l'Environnement Centre National de la Recherche Scientifique Commissariat à l'Énergie Atomique et aux Énergies Alternatives Université Toulouse III - Paul Sabatier Université de Versailles Saint-Quentin-en-Yvelines

About

Philippe Ciais is an author at Laboratoire des Sciences du Climat et de l'Environnement specializing in engineering, earth science, and climate modeling.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	383
2	Social Sciences	1	1	29
3	Data Science	1	1	29
4	Geography	1	1	29
5	Climate Change	1	1	185

Philippe Ciais

Publications

438

Citations

H-Index

Page 1

	Year	Citations
Variations in atmospheric CO<sub>2</sub>growth rates coupled with tropical temperature Weile Wang, Philippe Ciais, Ramakrishna Nemani, Proceedings of the National Academy of Sciences EngineeringTerrestrial Ecosystem ProductivityClimate ModelingTropical Land PrecipitationEarth System Science	2013	185
A comprehensive global three‐dimensional model of δ<sup>18</sup>O in atmospheric CO<sub>2</sub>: 1. Validation of surface processes Matthias Cuntz, Philippe Ciais, Georg F. Hoffmann, Journal of Geophysical Research Atmospheres Atmospheric Co 2Carbon SequestrationEngineeringAtmospheric ScienceSoil Bucket Model	2003	97
A comprehensive global three‐dimensional model of δ<sup>18</sup>O in atmospheric CO<sub>2</sub>: 2. Mapping the atmospheric signal Matthias Cuntz, Philippe Ciais, Georg F. Hoffmann, Journal of Geophysical Research Atmospheres ClimatologyEngineeringAtmospheric InteractionAtmospheric ScienceCalibration Biases	2003	72
New Insights on the Chemical Composition of the Siberian Air Shed From The Yak-Aerosib Aircraft Campaigns Jean-Daniel Paris, Philippe Ciais, Philippe Nédélec, Bulletin of the American Meteorological Society	2009	55
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach Martin A. Schwartz, Philippe Ciais, Catherine Ottlé, arXiv (Cornell University) EngineeringMachine LearningForest BiometricsLand UseForestry	2022	29

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