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1. Respiration driven CO2 pulses dominate Australia's flux variability

3. Process-oriented analysis of dominant sources of uncertainty in the land carbon sink

4. Global and regional drivers of land-use emissions in 1961-2017

5. Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model

6. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches

7. Increased control of vegetation on global terrestrial energy fluxes

9. Reconciling global-model estimates and country reporting of anthropogenic forest CO2 sinks

10. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability

12. Process-oriented analysis of dominant sources of uncertainty in the land carbon sink

13. Uncertainty in land carbon budget simulated by terrestrial biosphere models: the role of atmospheric forcing

14. Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models

15. Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink?

16. Global Carbon Budget 2021

17. Effects of Increased Drought in Amazon Forests Under Climate Change: Separating the Roles of Canopy Responses and Soil Moisture

18. Soil respiration–driven CO2 pulses dominate Australia’s flux variability.

19. Assessing Model Predictions of Carbon Dynamics in Global Drylands

21. Global Carbon Budget 2021

24. Global Carbon Budget 2016

25. Are Land‐Use Change Emissions in Southeast Asia Decreasing or Increasing?

26. Global Carbon Budget 2021

27. Assessing the representation of the Australian carbon cycle in global vegetation models

28. Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO<sub>2</sub>

29. Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems

30. Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration.

33. Bookkeeping estimates of the net land-use change flux – a sensitivity study with the CMIP6 land-use dataset

34. Modelled land use and land cover change emissions – a spatio-temporal comparison of different approaches

35. Greening drylands despite warming consistent with carbon dioxide fertilization effect

36. Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models

37. Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season

38. Slow-down of the greening trend in natural vegetation with further rise in atmospheric CO2

39. Supplementary material to "Slow-down of the greening trend in natural vegetation with further rise in atmospheric CO2"

40. Causes of slowing‐down seasonal CO 2 amplitude at Mauna Loa

41. Global Carbon Budget 2020

42. Net land-use change carbon flux estimates and sensitivities – An assessment with a bookkeeping model based on CMIP6 forcing

43. Global Carbon Budget 2020

44. Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products

47. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub>

48. Assessment of JSBACHv4.30 as land component of ICON-ESM-V1 in comparison to its predecessor JSBACHv3.2 of MPI-ESM1.2.

49. Plant phenology evaluation of CRESCENDO land surface models – Part I: start and end of growing season

50. Supplementary material to "Plant phenology evaluation of CRESCENDO land surface models – Part I: start and end of growing season"

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