58 citations as recorded by crossref.

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10. Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications J. Nightingale et al. 10.3390/rs10081254
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12. A New Global fAPAR and LAI Dataset Derived from Optimal Albedo Estimates: Comparison with MODIS Products M. Disney et al. 10.3390/rs8040275
13. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
14. Simultaneous assimilation of SMOS soil moisture and atmospheric CO2 in-situ observations to constrain the global terrestrial carbon cycle M. Scholze et al. 10.1016/j.rse.2016.02.058
15. Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
16. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
17. Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent C. Pickett-Heaps et al. 10.1016/j.rse.2013.08.037
18. Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al. 10.5194/gmd-6-45-2013
19. Estimation of fraction of absorbed photosynthetically active radiation from multiple satellite data: Model development and validation X. Tao et al. 10.1016/j.rse.2016.07.036
20. Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
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22. Validation practices for satellite-based Earth observation data across communities A. Loew et al. 10.1002/2017RG000562
23. The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges T. Kaminski et al. 10.1002/jgrg.20118
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25. Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al. 10.5194/gmd-7-931-2014
26. Estimation of Radiative Transfer Parameters from L-Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation C. Montzka et al. 10.2136/vzj2012.0040
27. A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al. 10.5194/gmd-9-3321-2016
28. Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS R. Reichle et al. 10.1007/s10712-013-9220-8
29. Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model C. Safta et al. 10.5194/gmd-8-1899-2015
30. Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al. 10.3390/rs11010027
31. On the Response of European Vegetation Phenology to Hydroclimatic Anomalies G. Ceccherini et al. 10.3390/rs6043143
32. Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design T. Kaminski et al. 10.5194/acp-12-7867-2012
33. Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system E. Koffi et al. 10.5194/acp-13-10555-2013
34. Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model C. Bacour et al. 10.1002/2015JG002966
35. Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana T. Kato et al. 10.5194/bg-10-789-2013
36. Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS) Z. Chen et al. 10.1002/2016JG003716
37. Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016
38. The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties M. Smith et al. 10.5194/bg-10-583-2013
39. Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS) M. Wu et al. 10.1016/j.rse.2020.111719
40. Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC) R. Houborg et al. 10.1016/j.rse.2014.12.008
41. Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
42. Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al. 10.1126/science.abb7772
43. Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Data Integration: Methodology and Validation X. Tao et al. 10.1109/TGRS.2017.2775103
44. Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
45. Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates T. Kaminski et al. 10.5194/bg-14-2527-2017
46. Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products S. Chen et al. 10.3390/rs12132083
47. Integrating ASCAT surface soil moisture and GEOV1 leaf area index into the SURFEX modelling platform: a land data assimilation application over France A. Barbu et al. 10.5194/hess-18-173-2014
48. Identifying environmental controls on vegetation greenness phenology through model–data integration M. Forkel et al. 10.5194/bg-11-7025-2014
49. Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. 10.5194/tc-12-2569-2018
50. Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model Y. Sawada 10.1029/2020JD032688
51. Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
52. A Framework to Assess the Potential Uncertainties of Three FPAR Products X. Chen et al. 10.1029/2021JG006320
53. Impact of human population density on fire frequency at the global scale W. Knorr et al. 10.5194/bg-11-1085-2014
54. The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
55. Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana T. Kato et al. 10.5194/bgd-9-3615-2012
56. Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system E. Koffi et al. 10.5194/acpd-12-24131-2012
57. Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al. 10.5194/gmdd-5-2259-2012
58. Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design T. Kaminski et al. 10.5194/acpd-12-7211-2012