Automated parameterization of land surface process models using fuzzy logic

Transactions in GIS

Volumn 7, Issue 1, 2003, Pages 139-153

  Mackay, D Scott ^a   Ahl, Douglas E ^a   Gower, Stith T ^a   Samanta, Sudeep ^a   Ewers, Brent E ^a   Burrows, Sean N ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; COMPUTER CIRCUITS; FUZZY LOGIC; ITERATIVE METHODS; PARAMETER ESTIMATION; SURFACE MEASUREMENT; TRANSPIRATION; UNCERTAINTY ANALYSIS;

ESTIMATION THEORY; FUZZY-LOGIC; LAND-SURFACE PROCESS; MODEL PARAMETER ESTIMATION; MODELING PARAMETERS; OPTIMUM PARAMETER VALUES; PROCESS-MODELS; SPATIAL PROCESS; TREE SPECIES; UNCERTAIN INFORMATIONS;

EXPERT SYSTEMS;

ALGORITHM; CALIBRATION; CANOPY; FUZZY MATHEMATICS; GIS; LAND SURFACE; PARAMETERIZATION; TRANSPIRATION;

EID: 0037287503     PISSN: 13611682     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9671.00134     Document Type: Article

References (50)

1. Ahl D E 2002 A Measurement and Modeling Perspective on Requirements for Future Remote Sensing Vegetation Indices and Classifications. Unpublished PhD Dissertation, University of Wisconsin at Madison
2. Arnold J G, Srinivasan R, Muttia R S, and Williams J R 1998 Large area hydrologic modeling and assessment: Part I, Model development. Journal of American Water Resources Association 34: 73-89
3. Band L E, Patterson P, Nemani R, and Running S W 1993 Forest ecosystem processes at the watershed scale: Incorporating hillslope hydrology. Agricultural and Forest Meteorology 63: 93-126
4. Band L E, Tague C L, Brun S E, Tenenbaum D E, and Fernandes R A 2000 Modeling watersheds as spatial object hierarchies: Structure and dynamics. Transactions in GIS 4: 181-96
5. Berger B W, Davis K J, Yi C, Bakwin P S, and Zhao C L 2001 Long-term carbon dioxide fluxes from a very tall tower in a northern forest: Flux measurement methodology. Journal of Atmospheric and Oceanic Technology 18: 529-42
6. Beven K J 1989 Changing ideas in hydrology: The case of physically based models. Journal of Hydrology 105: 157-72
7. Beven K J 1993 Prophecy, reality and uncertainty in distributed hydrological modeling. Advances in Water Resources 16: 41-55
8. Beven K J and Binley A 1992 The future of distributed models: Model calibration and uncertainty prediction. Hydrological Processes 6: 279-98
9. Burrows S N, Gower S T, Clayton M K, Mackay D S, Ahl D E, Norman J M, and Diak G 2002 Application of geostatistics to characterize LAI for flux towers to landscapes. Ecosystems 5: 667-79
10. Crosetto M and Tarantola S 2001 Uncertainty and sensitivity analysis: Tools for GIS-based model implementation. International Journal of Geographical Information Science 15: 415-37
11. Ewers B E, Mackay D S, Gower S T, Ahl D E, Burrows S N, and Samanta S 2002 Tree species effects on stand transpiration in northern Wisconsin. Water Resources Research 38: in press
12. Ewers B E, Oren R, and Sperry J S 2000 Influence of nutrient versus water supply on hydraulic architecture and water balance in Pinus taeda. Plant, Cell and Environment 23: 1055-66
13. Famiglietti J S and Wood E F 1994 Multi-scale modeling of spatially-variable water and energy balance processes. Water Resources Research 30: 3061-78
14. Fassnacht K S and Gower S T 1997 Interrelationships among edaphic and stand characteristics, leaf area index, and aboveground net primary productivity for upland forest ecosystems in north central Wisconsin. Canadian Journal of Forest Research 27: 1058-67
15. Foley J A, Prentice I C, Ramankutty N, Levis S, Pollard D, Sitch S, and Haxeltine A 1996 An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochemical Cycles 10: 603-28
16. Foley J A, Levis S, Costa M H, Cramer W, and Pollard D 2000 Incorporating dynamic vegetation cover within global climate models. Ecological Applications 10: 1620-32
17. Fotheringham A S and Rogerson P A 1994 Spatial Analysis and GIS. London, Taylor and Francis
18. Goodchild M F, Haining R, and Wise S 1992 Integrating GIS and spatial data analysis: Problems and possibilities. International Journal of Geographical Information Systems 6: 407-23
19. Goodchild M F, Parks B O, and Steyaert L T 1993 Environmental Modeling with GIS. New York, Oxford University Press
20. Goodchild M F, Parks B O, and Steyaert L T 1996 GIS and Environmental Modeling: Progress and Research Issues. New York, Oxford University Press
21. Gupta H V, Sorooshian S, and Yapo P O 1998 Towards improved calibration of hydrologic models: Multiple and non-commensurable measures of information. Water Resources Research 34: 751-63
22. Hartley R V L 1928 Transmission of information. The Bell Systems Technical Journal 7: 535-63
23. Heuvelink G B M 1998 Error Propagation in Environmental Modelling with GIS. London, Taylor and Francis
24. Higashi M and Klir G J 1982 On measures of fuzziness and fuzzy complements. International Journal of General Systems 8: 169-80
25. Jarvis P G 1976 The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. Philosophical Transactions of the Royal Society of London B 273: 593-610
26. Jarvis P G 1980 Stomatal response to water stress in conifers. In Turner N C and Kramer P J (eds) Adaptation of Plants to Water and High Temperature Stress. New York, John Wiley and Sons: 105-22
27. Kelliher F M, Leuning R, Raupach M R, and Schulze E-D 1995 Maximum conductances for evaporation from global vegetation types. Agricultural and Forest Meteorology 73: 1-16
28. Klir G J and Wierman M J 1998 Uncertainty-Based Information: Elements of Generalized Information Theory. Heidelberg, Physica-Verlag
29. Mackay D S 2001 Evaluation of hydrologic equilibrium in a mountainous watershed: Incorporating forest canopy spatial adjustment to soil biogeochemical processes. Advances in Water Resources 24: 1211-27
30. Mackay D S, Ahl D E, Ewers B E, Gower S T, Burrows S N, Samanta S, and Davis K J 2002 Effects of aggregated classifications of forest composition on estimates of evapotranspiration in a northern Wisconsin forest. Global Change Biology 8: 1-13
31. Mackay D S, Ahl D E, Ewers B E, Samanta S, Gower S T, and Burrows S N 2003 Physiological tradeoffs in the parameterization of a model of canopy transpiration. Advances in Water Resources 26: in press
32. Mackay D S and Band L E 1997 Forest ecosystem processes at the watershed scale: Dynamic coupling of distributed hydrology and canopy growth. Hydrological Processes 11: 1197-217
33. Mackay D S and Robinson V B 2000 A multiple criteria decision support system for testing integrated environmental models. Fuzzy Sets and Systems 113: 53-67
34. Mackay D S, Robinson V B, and Band L E 1993 An integrated knowledge-based system for managing spatiotemporal ecological simulations. AI Applications 7: 29-36
35. Mackay D S, Robinson V B, and Band L E 1994 On a knowledge-based approach to the management of geographic information systems for simulation of forested ecosystems. In Michener W K, Brunt J W, and Stafford S G (eds) Environmental Information Management and Analysis: Ecosystem to Global Scales. London, Taylor and Francis: 511-34
36. McNaughton K G and Jarvis P G 1991 Effects of spatial scale on stomatal control of tranpiration. Agricultural and Forest Meteorology 54: 279-301
37. Monteith J L 1965 Evaporation and environment. In Proceedings of the Nineteenth Symposium of the Society for Experimental Biology. New York, Cambridge University Press: 205-33
38. Monteith J L 1995 A reinterpretation of stomatal response to humidity. Plant, Cell and Environment 18: 357-64
39. Oren R, Sperry J R, Katul G G, Pataki D E, Ewers B E, Phillips N, and Schafer K V R 1999 Survey and synthesis of intra- and interspecific variation in stomatal sensitivity to vapour pressure deficit. Plant, Cell and Environment 22: 1515-26
40. Robinson V B and Mackay D S 1996 Semantic modeling for the integration of geographic information and regional hydroecological simulation management. Computers, Environment and Urban Systems 19: 321-39
41. Running S W and Coughlan J C 1988 A general model of forest ecosystem processes for regional applications: I, Hydrologic balance, carbon gas exchange and primary production processes. Ecological Modelling 42: 125-54
42. Running S W and Hunt E R Jr 1993 Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and application for global scale models. In Ehleringer J R and Field C B (eds) Scaling Physiological Processes: Leaf to Globe, San Diego, Academic Press: 141-58
43. Samanta S and Mackay D S 2002 Flexible automated parameterization of hydrologic models using fuzzy logic. Water Resources Research 38: in press
44. Sellers P J, Dickinson R E, Randall D A, Betts A K, Hall F G, Berry J A, Collatz C J, Denning A S, Mooney H A, Nobre C A, and Sato N 1997 Modeling the exchange of energy, water, and carbon between continents and the atmosphere. Science 275: 502-9
45. Sperry J S, Adler F R, Campbell G S, and Comstock J P 1998 Limitation of plant water use by rhizosphere and xylem conductance: Results from model. Plant, Cell and Environment 21: 347-59
46. Taylor K, Walker G, and Abel D 1999 A framework for model integration in spatial decision support systems. International Journal of Geographical Information Science 13: 533-55
47. Vertessy R A, Hatton T J, Benyon R G, and Dawes W R 1996 Long-term growth and water balance predictions for a mountain ash (Eucalyptus regnans) for catchment subject to clear-felling and regeneration. Tree physiology 16: 221-32
48. Wigmosta M S, Vail L W, and Lettenmaier D P 1994 A distributed hydrology-vegetation model for complex terrain. Water Resources Research 30: 1665-79
49. Yapo P O, Gupta H V, and Sorooshian S 1998 Multi-objective global optimization for hydrologic models. Journal of Hydrology 204: 83-97
50. Zadeh L A 1978 Fuzzy sets as a basis for a theory of possibilities. International Journal of Fuzzy Sets and Systems 1: 3-28