E-LIB Suche - Ergebnisse für: Peylin, P.

1

Quantifying and Reducing Uncertainty in Global Carbon Cycle..:

MacBean, N. ; Bacour, C. ; Raoult, N....
Global Biogeochemical Cycles. 36 (2022) 7 - p. , 2022

2

From Bottom-Up to Top-Down: Europe's CO2 Emissions Monitori..:

Janssens-Maenhout, G. ; Pinty, B. ; Dowell, M....
Bulletin of the American Meteorological Society. 102 (2021) 1 - p. 31-36 , 2021

Link: https://www.jstor.org/st..

3

Sources of Uncertainty in Regional and Global Terrestrial C..:

Bastos, A. ; O'Sullivan, M. ; Ciais, P....
Global Biogeochemical Cycles. 34 (2020) 2 - p. , 2020

Link: https://doi.org/10.1029/..

4

Toward an Operational Anthropogenic CO₂ Emissions Monitorin..:

Janssens-Maenhout, G. ; Pinty, B. ; Dowell, M....
Bulletin of the American Meteorological Society. 101 (2020) 8 - p. E1439-E1451 , 2020

Link: https://www.jstor.org/st..

5

Improving Estimates of Gross Primary Productivity by Assimi..:

Bacour, C. ; Maignan, F. ; MacBean, N....
Journal of Geophysical Research: Biogeosciences. 124 (2019) 11 - p. 3281-3306 , 2019

Link: https://doi.org/10.1029/..

6

Differences Between OCO‐2 and GOME‐2 SIF Products From a Mo..:

Bacour, C. ; Maignan, F. ; Peylin, P....
Journal of Geophysical Research: Biogeosciences. 124 (2019) 10 - p. 3143-3157 , 2019

Link: https://doi.org/10.1029/..

7

Atmospheric monitoring and inverse modelling for verificati..

EUR, Scientific and technical research series, 29276

Danila, A ; Bergamaschi, P ; Weiss, R.F... , 2018

Link: http://dx.publications.e..

8

Atmospheric monitoring and inverse modelling for verificati..

EUR, Scientific and technical research series, 29276

Danila, A ; Bergamaschi, P ; Weiss, R.F... , 2018

Link: http://dx.publications.e..

9

Observation‐Based Trends of the Southern Ocean Carbon Sink:

Ritter, R. ; Landschützer, P. ; Gruber, N....
Geophysical Research Letters. 44 (2017) 24 - p. , 2017

Link: https://doi.org/10.1002/..

10

The potential benefit of using forest biomass data in addit..:

Thum, T. ; MacBean, N. ; Peylin, P....
Agricultural and Forest Meteorology. 234-235 (2017) - p. 48-65 , 2017

Link: https://doi.org/10.1016/..

11

A multi-layer land surface energy budget model for implicit..:

Ryder, J. ; Polcher, J. ; Peylin, P....
Geoscientific Model Development. 9 (2016) 1 - p. 223-245 , 2016

Link: https://doi.org/10.5194/..

12

Carbon and energy fluxes in cropland ecosystems: a model-da..:

Lokupitiya, E. ; Denning, A. S. ; Schaefer, K....
Biogeochemistry. 129 (2016) 1/2 - p. 53-76 , 2016

Link: https://www.jstor.org/st..

13

Carbon and energy fluxes in cropland ecosystems: a model-da..:

Lokupitiya, E. ; Denning, A. S. ; Schaefer, K....
Biogeochemistry. 129 (2016) 1-2 - p. 53-76 , 2016

Link: https://doi.org/10.1007/..

14

Data-based estimates of the ocean carbon sink variability –..:

Rödenbeck, C. ; Bakker, D. C. E. ; Gruber, N....
Biogeosciences. 12 (2015) 23 - p. 7251-7278 , 2015

Link: https://doi.org/10.5194/..

15

Recent trends and drivers of regional sources and sinks of ..:

Sitch, S. ; Friedlingstein, P. ; Gruber, N....
Biogeosciences. 12 (2015) 3 - p. 653-679 , 2015

Link: https://doi.org/10.5194/..