High resolution interpolation of climate scenarios for the conterminous USA and Alaska derived from general circulation model simulations

USDA Forest Service - General Technical Report RMRS-GTR

Volumn , Issue 263, 2011, Pages 1-87

  Joyce, Linda A ^a   Price, David T ^b   McKenney, Daniel W ^c   Martin Siltanen, R ^b   Papadopol, Pia ^c   Lawrence, Kevin ^c   Coulson, David P ^a  

^a ROCKY MOUNTAIN RESEARCH STATION   (United States)

^b NORTHERN FORESTRY CENTRE   (Canada)

^c LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

ANUSPLIN; Canadian Centre for Climate Modelling and Analysis; CCCma; CCSM; CCSR; Centre for Climate System Research; CGCM; Climate scenario; Climate System Model; Commonwealth Scientific and Industrial Research Organisation; Community Climate System Model; Coupled Global Climate Model; CSIRO; Downscaling; GCM; Interpolation; MIROC; Model for Interdisciplinary Research on Climate; National Center for Atmospheric Research; National Institute for Environmental Studies; NCAR; NIES

Indexed keywords

CLIMATE MODELING; DATA SET; DOWNSCALING; GENERAL CIRCULATION MODEL; GLOBAL CLIMATE; GREENHOUSE GAS; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE; INTERPOLATION; SOFTWARE; SOLAR RADIATION; SPATIAL RESOLUTION; WIND VELOCITY;

ALASKA; UNITED STATES;

EID: 84856470197     PISSN: 02775786     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (46)

1. Bailey, R. G. 1995. Description of the ecoregions of the United States (2nd ed.). Miscellaneous Publication No. 1391. Washington, DC: U.S. Department of Agriculture, Forest Service,.108 pp. + Map scale 1:7,500,000.
2. Conway, D.; Jones, P. D. 1998. The use of weather types and air flow indices for GCM downscaling. Journal of Hydrology 212-213(1-4): 348-361.
3. Coulson, D. P.; Joyce, L.A. 2010. Historical climate data (1940-2006) for the conterminous United States at the 5 arcminute grid spatial scale based on PRISM climatology. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Available: http://www.fs.fed.us/rm/data_archive/dataaccess/US_HistClimateScenarios_grid_PRISM.shtml.
4. Daly, C.; Neilson, R. P.; Phillips, D. I. 1994. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology 33: 140-158.
5. Fowler, H. J.; Blenkinsop, S.; Tebaldi, C. 2007. Linking climate change modeling to impacts studies: recent advances in downscaling techniques for hydrological modeling. International Journal of Climatology 27: 1547-1578.
6. Gibson, W.; Daly, C.; Kittel, T.; Nychka, D.; Johns, C.; Rosenbloom, N.; McNab, A.; Taylor, G. 2002. Development of a 103-year highresolution climate data set of the conterminous United States. Proceedings of the 13th AMS Conference on Applied Climatology; May 13-16; Portland, OR. Washington, DC: American Meteorological Society,: 181-183. Available: http://ams.confex.com/ams/13ac10av/techprogram/programexpanded_99.htm or http://prism.oregonstate. edu/docs/index.phtml.
7. Hashmi, M. Z.; Shamseldin, A. Y.; Melville, B. W. 2009. Statistical downscaling of precipitation: state-of-the-art and application of Bayesian multi-model approach for uncertainty assessment. Hydrology and Earth System Sciences Discussions 6: 6535-6579. Available:http://www.hydrol-earth-syst-sci-discuss.net/6/6535/2009/hessd-6-6535-2009-discussion.html [28 July 2010].
8. Hijmans, R.; Cameron, S. E.; Parra, J.; Jones, P.; Jarvis, A. 2005. Very high resolution interpolated climate surface for global land areas. International Journal of Climatology 25: 1965-1978.
9. Houlder, D. J.; Hutchinson, M. F.; Nix, H. A.; McMahon, J. P. 2000. ANUCLIM user guide, Version 5.1. Centre for Resource and Environmental Studies, Australian National University, Canberra, Australia.
10. Hutchinson, M. F. 1995. Interpolating mean rainfall using thin plate smoothing splines. International Journal of GIS 9(4): 385-403.
11. Hutchinson M. F. 1998a. Interpolation of rainfall data with thin plate smoothing splines: I. Two dimensional smoothing of data with short range correlation. Journal of Geographic Information and Decision Analysis 2(2): 152-167.
12. Hutchinson M. F. 1998b. Interpolation of rainfall data with thin plate smoothing splines: II. Analysis of topographic dependence. Journal of Geographic Information and Decision Analysis 2(2): 168-185.
13. Hutchinson, M. F. 2010. ANUSPLIN Version 4.0. Available: http://fennerschool.anu.edu.au/publications/software/anusplin.php [28 July 2010].
14. Hutchinson, M. F.; Gessler, P. E. 1994. Splines-more than just a smooth interpolator. Geoderma 62: 45-67.
15. Hutchinson, M. F.; McKenney D. W.; Lawrence, K.; Pedlar, J. H.; Hopkinson, R. F.; Milewska, E.; Papadopol, P. 2009. Development and testing of Canada-wide interpolated spatial models of daily minimum-maximum temperature and precipitation for 1961-2003. Journal of Applied Meteorology and Climatology 48: 726-741.
16. [IPCC]Intergovernmental panel on Climate Change. 2007. Summary for policymakers. In: Solomon, S.; Qin, D.; Manning, M.; Chen, Z.; Marquis, M.; Averyt, K. B.; Tignor, M.; Miller, H. L., eds. Climate change 2007: The physical science basis. contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom.
17. [IPCC-TGICA] Task Group on Data and Scenario Support for Impact and Climate Assessment; Intergovernmental Panel on Climate Change. 2007. General Guidelines on the Use of Scenario Data for Climate Impact and Adaptation Assessment. Version 2. Prepared by T.R. Carter on behalf of the Intergovernmental Panel on Climate Change, Task Group on Data and Scenario Support for Impact and Climate Assessment. Available at http://www.ipcc-data.org/guidelines/index.html, accessed 3/14/2011. 66 pp.
18. Jensen, M. E.; Burman, R. D.; Allen, R. G., eds. 1990. Evapotranspiration and irrigation water requirements. New York, NY: American Society of Civil Engineering.
19. Joyce, L. A. 2007. Climate change impacts on forestry. Chapter 14. In: Adams, D. M.; Haynes, R. W., eds. Resource and market projections for forest development: Twenty-five years' experience with the U.S. RPA timber assessment. Dordrecht, The Netherlands: Springer: 451-490.
20. Joyce, Linda A.; Price, David T.; Coulson, David P.; McKenney, Daniel W.; Siltanen, R. Martin; Papadopol, Pia; Lawrence, Kevin. (In process). Projecting climate change in the United States: A technical document supporting the Forest Service 2010 RPA Assessment. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
21. Kang, B.; Ramírez, J. A. 2010, A coupled stochastic space-time intermittent random cascade model for rainfall downscaling, Water Resources Research 46. W10534, doi:10.1029/2008WR007692.
22. Missing Kittel 1995 reference Kittel, T. G. F.; Rosenbloom, N. A.; Royle, J. A.; Daly, C.; Gibson, W. P.; Fisher, H. H.; Thornton, P.; Yates, D. N.; Aulenbach, S.; Kaufman, C.; McKeown, R.; Bachelet, D.; Schimel, D. S. 2004. The VEMAP Phase 2 bioclimatic database. I: A gridded historical (20th century) climate dataset for modeling ecosystem dynamics across the conterminous United States. Climate Research 27:151-170.
23. Lawrence, K.; Hutchinson, M.; McKenney, D. 2007. Multi-scale Digital elevation models for Canada. Frontline Technical Report No. 109. Sault Ste. Marie, Ontario, Canada: Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre.
24. Mackey, B. G.; McKenney, D. W.; Yang, Y. Q.; McMahon, J. P.; Hutchinson, M. F. 1996. Site regions revisited: A climatic analysis of Hill's site regions for the province of Ontario using a parametric method. Canadian Journal of Forest Research 26: 333-354.
25. McKenney, D. W.; Hutchinson, M. F.; Kesteven, J. L.; Venier, L. A. 2001. Canada's plant hardiness zones revisited using modern climate interpolation techniques. Canadian Journal of Plant Science 81: 129-143.
26. McKenney, D. W.; Hutchinson, M. F.; Papadopol, P.; Price, D. T. 2004. Evaluation of alternative spatial models of vapour pressure in Canada. In: Proceedings of the American Meteorological Society 26th Conference on Agricultural Forest Meteorology; 23-26 August 2004; Vancouver, BC. Boston, MA: American Meteorological Society: 6.2.1-6.2.11. Available: http://ams.confex.com/ams/AFAPURBBIO/techprogram/paper_78201.htm [28 July 2010].
27. McKenney, D. W.; Papadapol, P.; Campbell, K.; Lawrence, K.; Hutchinson, M. 2006a. Spatial models of Canada-and North America-wide 1971/2000 minimum and maximum temperature, total precipitation and derived bioclimatic variables. Frontline Technical Note 106. Sault Ste. Marie, Ontario, Canada: Canadian Forestry Service, Great Lakes Forestry Centre. 9 pp.
28. McKenney, D. W.; Pedlar, J. H.; Papadopol, P.; Hutchinson, M. F. 2006b. The development of 1901-2000 historical monthly climate models for Canada and the United States. Agricultural and Forest Meteorology 138: 69-81.
29. McKenney, D. W.; Price, D. T.; Papadapol, P.; Siltanen, M; Lawrence, K. 2006c. High-resolution climate change scenarios for North America. Frontline Technical Note 107. Sault Ste. Marie, Ontario, Canada: Canadian Forestry Service, Great Lakes Forestry Centre. 6 pp.
30. McKenney, D.; Papadopol, P.; Lawrence, K.; Campbell, K.; Hutchinson, M. 2007. Customized spatial climate models for Canada. Frontline Technical Note No. 108. Sault Ste. Marie, Ontario, Canada: Great Lakes Forestry Centre, Natural Resources Canada, Canadian Forest Service. 7 pp.
31. Meehl, G. A.; Covey, C.; Delworth, T.; Latif, M.; McAvaney, B.; Mitchell, J. F. B.; Stouffer, R. J.; Taylor, K. E. 2007. The WCRP CMIP3 multimodel dataset: A New Era in Climate Change Research. Bulletin of the American Meteorological Society 88(9): 1383-1394.
32. Monteith, J. L.; Unsworth, M. H. 2008. Principles of environmental physics. Third Edition. Amsterdam: Academic Press, Elsevier. 418 pp.
33. Nakićenović, N.; Alcamo, J.; Davis, G.; de Vries, B.; Fenhann, J.; Gaffin, S.; Gregory, K.; Grübler, A.; Jung, T. Y.; Kram, T.; La Rovere, E. L.; Michaelis, L.; Mori, S.; Morita, T.; Pepper, W.; Pitcher, H.; Price, L.; Raihi, K.; Roehrl, A.; Rogner, H.-H.; Sankovski, A.; Schlesinger, M.; Shukla, P.; Smith, S.; Swart, R.; van Rooijen, S.; Victor, N.; Dadi, Z. 2000. Emissions scenarios. A special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom. 599 pp. Available: http://www.grida.no/publications/other/ipcc_sr/?src=http://www.grida.no/climate/ipcc/[28 July 2010].
34. New, M.; Lister, D.; Hulme, M.; Makin, I. 2002. A high-resolution data set of surface climate over global land areas. Climate Research 21(1): 1-25.
35. Price, D. T.; McKenney, D. W.; Nalder, I. A.; Hutchinson, M. F.; Kestevan, J. L. 2000. A comparison of statistical and thin-plate spline methods for spatial interpolation of Canadian monthly mean climate data. Agricultural and Forest Meteorology 101: 81-94.
36. Price, D. T.; McKenney, D. W.; Caya, D.; Flannigan, M. D.; Côté, H. 2001. Transient climate change scenarios for high resolution assessment of impacts on Canada's forest ecosystems. Final report to Climate Change Action Fund, June 2001. Available: http://www. cics.uvic.ca/scenarios/index.cgi?Other_Data#transienthighres [28 July 2010].
37. Price, D. T.; McKenney, D. W.; Papadopol, P.; Logan, T.; Hutchinson, M. F. 2004. High resolution future scenario climate data for North America. Pages 7.7.1-7.7.13 in Proc. Amer. Meteorol. Soc. 26th Conf. Agric. For. Meteorol., 23-26 August 2004, Vancouver, B.C., Am. Meteorol. Soc., Boston, MA. http://ams.confex.com/ams/AFAPURBBIO/techprogram/paper_78202.htm accessed 28 July 2010.
38. Price, D. T.; Scott, D. 2006. Large scale modelling of Canada's forest ecosystem responses to climate change. Final Report on Climate Change Action Fund Project A636, Climate Change Impacts and Adaptation Program, June 2006. http://adaptation.nrcan.gc.ca/projdb/pdf/116_e.pdf accessed 28 July 2010.
39. Price, D. T.; McKenney, D. W.; Joyce, Linda A.; Siltanen, R. M.; Papadopol, P.; Lawrence, K. (In process). High resolution interpolation of climate scenarios for Canada derived from general circulation models. Natural Resources Canada, Canadian Forest Service, Northern Forestry Center, Edmonton, Alberta. Inf. Rep. NOR-X-2011 135 p.
40. Randall, D. A.; Wood, R. A.; Bony, S.; Colman, R.; Fichefet, T.; Fyfe, J.; Kattsov, V.; Pitman, A.; Shukla, J.; Srinivasan, J.; Stouffer, R. J.; Sumi, A.; Taylor, K. E. 2007. Climate models and their evaluation. In: Solomon, S.; Qin, D.; Manning, M.; Chen, Z.; Marquis, M.; Averyt, K. B.; Tignor, M.; Miller, H. L., eds. Climate change 2007: The physical science basis. contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom.
41. Rehfeldt, G. E. 2006. A spline model of climate for the western United States. Gen. Tech. Rep. RMRS-GTR-165. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 21 p.
42. Semenov, M. A.; Barrow, E. M. 1997. Use of a stochastic weather generator in the development of climate change scenarios. Climatic Change 35: 397-414. USDA Forest Service. (In press). Future Scenarios and Assumptions for the 2010 Resource Planning Act (RPA) Assessment. WOGTR-XXX. Washington, DC: U.S. Department of Agriculture, Forest Service.
43. Wilby, R. L.; Dawson, C. W.; Barrow, E. M. 2002: SDSM-A decision support tool for the assessment of regional climate change impacts. Environmental Modelling and Software 17: 145-157.
44. Wilby, R. L.; Charles, S. P.; Zorita, E.; Timbal, B.; Whetton, P.; Mearns, L. O. 2004. Guidelines for use of climate scenarios developed from statistical downscaling methods. Supporting material of the Intergovernmental Panel on Climate Change, Task Group on Data and Scenario Support for Impacts and Climate Analysis (TGICA). 27 p. Available: http://www.ipcc-data.org/guidelines/dgm_no2_v1_09_2004.pdf accessed 28 July 2010.
45. Wilks, D. S.; Wilby, R. L. 1999. The weather generation game: A review of stochastic weather models. Progress in Physical Geography 23(3): 329-357.
46. Williams, J. W.; Jackson, S. T.; Kutzbach, J. E. 2007. Projected distributions of novel and disappearing climates by 2100 AD. Proceedings of the National Academy of Sciences 104(14): 5738-5742.