On uncertainties in carbon flux modelling and remotely sensed data assimilation: The Brasschaat pixel case

Advances in Space Research

Volumn 41, Issue 1, 2008, Pages 20-35

  Verstraeten, Willem W ^a   Veroustraete, Frank ^b   Heyns, Walter ^b   Roey, Tom Van ^b   Feyen, Jan ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

Ecosystem carbon fluxes; Error propagation; Monte Carlo approach; Spaceborne remote sensing; Uncertainty; Water limitation

Indexed keywords

DATA ACQUISITION; ECOSYSTEMS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; REMOTE SENSING; SOIL MOISTURE; UNCERTAINTY ANALYSIS;

CARBON FLUX; ERROR PROPAGATION; EVAPORATIVE FRACTION (EF); NET ECOSYSTEM PRODUCTIVITY (NEP); WATER LIMITATION;

CARBON;

EID: 36549076151     PISSN: 02731177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asr.2007.08.021     Document Type: Article

References (48)

1. Bastiaanssen W.G.M., Pelgrum H., Wang J., Ma Y., Moreno J.F., Roerink G.J., and van der Wal T. A remote sensing surface energy balance algorithm for land (SEBAL). 2. Validation. J. Hydrol. 212-213 (1998) 198-212
2. Beven K.J., and Binley A.M. The future of distributed models: model calibration and uncertainty prediction. Hydrol. Process. 6 (1992) 279-298
3. Beven K.J. Rainfall-runoff modelling: the Primer (2001), Wiley, Chichester, England p. 360
4. Beven K.J., and Freer J. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J. Hydrol. 249 (2001) 11-29
5. Beven K. A manifesto for the equifinality thesis. J. Hydrol. 320 (2006) 18-36
6. Campling P., Gobin A., Beven K.J., and Feyen J. Rainfall-runoff modelling of a humid tropical catchment: the TOPMODEL approach. Hydrol. Process. 16 2 (2002) 231-253
7. Ceballos A., Scipal K., Wagner W., and Martínez-Fernández L. Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero basin. Hydrol. Process. 19 8 (2005) 1549-1566
8. Chhabra A., and Dhadwall V.K. Estimating terrestrial net primary productivity over India using satellite data. Curr. Sci. 86 2 (2004) 269-271
9. 2 and climate change: results from six dynamic global vegetation models. Global Change Biol. 7 4 (2001) 357-373
10. Davi H., Dufrêne E., Granier A., Le Dantec V., Barbaroux C., François C., and Bréda N. Modelling carbon and water cycles in a beech forest Part II.: Validation of the main processes from organ to stand scale. Ecol. Model. 185 (2005) 387-405
11. Davidson E.A., and Janssens I.A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440 (2006) 165-173
12. De Jeu, R.A.M. Retrieval of Land Surface Parameters using Passive Microwave Remote Sensing. Ph.D. Thesis, Vrije Universiteit Amsterdam, ISBN 90-9016430-8, pp. 1-122; 2003.
13. Delworth T., and Manabe S. Climate variability and land-surface processes. Adv. Water Res. 16 (1993) 3-20
14. De Ridder K. Quantitative estimation of skin soil moisture with the Special Sensor microwave/Imager. Bound.-Layer Meteorol. 96 (2000) 421-432
15. Dolman A.J., Moors E.J., Grunwald T., Berbigier P., and Bernhofer C. Factors controlling forest atmosphere exchange of water, energy and carbon in European forests. In: Valentini R. (Ed). Fluxes of carbon, water and energy of European forests (2003), Springer Verlag, Heidelberg 207-224
16. Dolman A.J., Moors E.J., Elbers J.A., and Snijders W. Evaporation and surface conductance of three temperate forests in the Netherlands. Ann. Sci. Forest. 55 (1998) 255-270
17. Dufrêne E., Davi H., François C., le Maire G., Le Dantec V., and Granier A. Modelling carbon and water cycles in a beech forest Part I: model description and uncertainty analysis on modelled NEE. Ecol. Model. 185 (2005) 407-436
18. Franks S.W., and Beven K.J. Estimation of evapotranspiration at the landscape scale: a Fuzzy disaggregation approach. Water Res. Res. 33 (1997) 2929-2938
19. Gond V., De Pury D.G.G., Veroustraete F., and Ceulemans R. Seasonal variations in leaf area index, leaf chlorophyll, and water content; scaling-up to estimate fAPAR and carbon balance in a multilayer, multispecies temperate forest. Tree Physiol. 19 (1999) 673-679
20. Goward S.N., and Dye D.G. Evaluating North-American net primary production with satellite observations. Adv. Space Res. 7 (1987) 165-174
21. Jiang L., and Islam S. An intercomparison of regional latent heat flux estimation using remote sensing data. Int. J. Remote Sens. 24 (2003) 2224-2236
22. Kite G.W., and Droogers P. Comparing evapotranspiration estimates from satellites, hydrological models and field data. J. Hydrol. 229 (2000) 3-18
23. Krinner G., Viovy N., de Noblet-Ducoudré N., Ogée J., Polcher J., Friedlingstein P., Ciais P., Sitch S., and Prentice I.C. A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochem. Cycle 19 (2005) GB1015 10.1029/2003GB002199
24. Lu L., Li X., and Veroustraete F. Terrestrial productivity and its spatio-temporal variability in Western China. Acta Ecol. Sin. (2005) 1-12
25. Maisongrande P., Ruimy A., Dedieu G., and Saugier B. Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and ecosystem productivity using a diagnostic model and remotely sensed data. Tellus 47 B (1995) 178-190
26. McCabe M.F., Kalma J.D., and Franks S.W. Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework. HESS 9 (2005) 467-480
27. McCree K.J. Test of current definitions of photosynthetically active radiation against leaf photosynthesis data. Agric. Forest Meteorol. 10 (1972) 442-453
28. Mitra D.S., and Majumdar T.J. Thermal inertia mapping over the Brahmaputra basin, India using NOAA-AVHRR data and its possible geological applications. Int. J. Remote Sens. 225 16 (2004) 3245-3260
29. Myneni R.B., and Williams D.L. On the relationship between fAPAR and NDVI. Remote Sens. Environ. 49 (1994) 200-211
30. Narayan, U., Lakshmi, V. A simple method for spatial disaggregation of radiometer derived soil moisture using higher resolution radar observations. Progress In Electromagnetics Research Symposium 2005, Hangzhou, China, August 22-26, 2005.
31. 2 fluxes and long-term tree growth in temperate forests with ASPECTS. Ecol. Model. 141 (2001) 35-52
32. Roerink G.J., Su Z., and Menenti M. S-SEBI: a simple remote sensing algorithm to estimate the surface energy balance. Phys. Chem. Earth 25 (2000) 147-157
33. Su, Z., Menenti, M. Mesoscale Climate Hydrology: the contribution of the new observing systems. Pre-execution phase. Final Report, USP-2, 99-05, Beleidscommissie Remote Sensing, DLO-Winand Staring Centre, the Netherlands, 1999.
34. Su Z., Pelgrum H., and Menenti M. Aggregation effects of surface heterogeneity in land surface processes. HESS 3 4 (1999) 549-563
35. Valentini R., Matteucci G., Dolman A.J., et al. Respiration as the main determinant of carbon balance in European forests. Nature 404 (2000) 861-865
36. Veroustraete F., Patyn J., and Myneni R.B. Forcing of a simple ecosystem model with fAPAR and climate data to estimate regional scale photosynthetic assimilation. In: Veroustraete F., et al. (Ed). VGT, Modelling and Climate Change Effects (1994), Academic Publishing, The Hague, the Netherlands 151-177
37. Veroustraete F., Sabbe H., and Eerens H. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens. Environ. 83 (2002) 376-399
38. Veroustraete F., Sabbe H., Rasse D.P., and Bertels L. Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors. Int. J. Remote Sens. 25 (2004) 769-792
39. Verstraeten W.W., Muys B., Feyen J., Veroustraete F., Minnaert M., Meiresonne L., and De Schrijver A. Comparative analysis of the actual evapotranspiration of Flemish forest and cropland, using the soil water balance model WAVE. HESS 9 3 (2005) 225-241
40. Verstraeten W.W., Veroustraete F., and Feyen J. Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: towards an operational processing chain for integrated optical and thermal sensor data products. Remote Sens. Environ. 96 (2005) 256-276
41. Verstraeten W.W., Veroustraete F., and Feyen J. On temperature and water limitation in the estimation net ecosystem productivity: implementation in the PEM C-Fix. Ecol. Model. 199 1 (2006) 4-22
42. Verstraeten W.W., Veroustraete F., van der Sande C.J., Grootaers I., and Feyen J. Soil moisture retrieval using thermal inertia, determined with visible and thermal spaceborne data, validated for European forests. Remote Sens. Environ. 101 (2006) 299-314
43. Verstraeten, W.W., Veroustraete, F., Van Roey, T., Heyns, W., Verbeiren, S., Feyen, J., van der Sande, C.J., Wagner, W. Impact assessment of remotely sensed soil moisture on ecosystem carbon fluxes across Europe. 2nd International Workshop on Uncertainty in Greenhouse Gas Inventories, IIASA, Austria, 27-28 September, 2007.
44. Vinnikov K.Y., Robock A., Speranskaya N.A., and Schlosser C.A. Scales of temporal and spatial variability of midlatitude soil moisture. J. Geophys. Res. 101 (1996) 7163-7174
45. Wagner W., Lemoine G., and Rott H. A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ. 70 (1999) 191-207
46. Wagner W., Scipal K., and Pathe C. Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data. J. Geophys. Res. 108 D19 (2003) 4611-4619
47. Wilson K., Baldocchi D., Aubinet M., et al. Energy partitioning between latent and sensible heat flux during the warm season at FLUXNET sites. Water Resour. Res. 38 (2002) 1294-1323
48. Wilson K., Goldstein A., Falge E., et al. Energy balance closure at FLUXNET sites. Agric. Forest Meteorol. 113 (2002) 223-243