Assessing Uncertainty in High-Resolution Spatial Climate Data across the US Northeast

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Bishop, Daniel A ^a   Beier, Colin M ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLIMATE CHANGE; CONTROLLED STUDY; DATA ANALYSIS; DECISION MAKING; ENVIRONMENTAL ASPECTS AND RELATED PHENOMENA; ENVIRONMENTAL FACTOR; ENVIRONMENTAL TEMPERATURE; GRIDDED HISTORICAL CLIMATE; LANDSCAPE ECOLOGY; MEASUREMENT ERROR; PREDICTION; TEMPERATURE MEASUREMENT; UNCERTAINTY; UNITED STATES;

CLIMATE; CLIMATE CHANGE; MODELS, STATISTICAL; NEW ENGLAND; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SPATIAL ANALYSIS; STATISTICS AS TOPIC; TEMPERATURE; UNCERTAINTY;

EID: 84881009184     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0070260     Document Type: Article

References (34)

1. Thornton PE, Running SW, White MA, (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. J. Hydrol. 190: 214-251.
2. Daly C, Gibson WP, Taylor GH, Johnson GL, Pasteris P, (2002) A knowledge-based approach to statistical mapping of climate. Climate Res. 22: 99-113.
3. Daly C, Halbleib M, Smith JI, Gibson WP, Doggett MK, et al. (2008) Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. International Journal of Climatology 28(15): 2031-2064.
4. Daly C, Neilson RP, Phillips DL, (1994) A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteorol. 33: 140-158.
5. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A, (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
6. Mitchell TD, Jones PD, (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. International Journal of Climatology 25: 693-712.
7. Wang T, Hamann A, Spittlehouse DL, Aitken SN, (2006) Development of scale-free climate data for western Canada for use in resource management. International Journal of Climatology 26: 383-397.
8. DeGaetano AT, Belcher BN, (2007) Spatial interpolation of daily maximum and minimum air temperature based on meteorological model analysis and independent observations. J. Appl. Meteor. Climatol. 46: 1981-1992.
9. Di Luzio M, Johnson GL, Daly C, Eischeid JK, Arnold JG, (2008) Constructing retrospective gridded daily precipitation and temperature datasets for the conterminous United States. J. Appl. Meteorol. Climatol. 47(2): 475-494.
10. Iverson LR, Schwartz MW, Prasad AM, (2004) How fast and far might tree species migrate in the eastern United States due to climate change? Global Ecology and Biogeography 13: 209-219.
11. Ollinger SV, Goodale CL, Hayhoe K, Jenkins JP (2007) Potential effects of climate change and rising CO2 on ecosystem processes in northeastern U.S. forests. Mitig. Adapt. Strat. Glob. Change. DOI 10.1007/s11027-007-9128-z.
12. Wood A, Leung LR, Sridhar V, Lettenmaier D, (2004) Hydrologic implications of dynamical and statistical approaches to downscaling climate model surface temperature and precipitation fields. Clim Change 62: 189-216.
13. Hayhoe K, Wake C, Anderson B, Lian X-Z, Maurer E, et al. (2008) Regional climate change projections for the Northeast USA. Mitig. Adapt. Strat. Glob. Change 13: 425-436.
14. Daly C, (2006) Guidelines for assessing the suitability of spatial climate data sets. International Journal of Climatology 26: 707-721.
15. Wang T, Hamann A, Spittlehouse DL, Murdock TQ, (2012) ClimateWNA- High-Resolution Spatial Climate Data for Western North America. Journal of Applied Meteorology and Climatology 51: 16-29.
16. Pielke RA, Stohlgren T, Schell L, Parton W, Doesken N, et al. (2002) Problems in evaluating regional and local trends in temperature: an example from eastern Colorado, USA. Int J Climatol 22: 421-434.
17. Beier CM, Signell SA, Luttman A, DeGaetano AT, (2012) High resolution climate change mapping with gridded historical climate products. Landscape Ecology 27: 327-342.
18. Jarvis CH, Stuart N, (2001) A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: the interaction between the number of guiding variables and the type of interpolation method. Journal of Applied Meteorology 40: 1075-1084.
19. Brohan P, Kennedy JJ, Harris I, Tett SFB, Jones PD, (2006) Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. J. Geophys. Res. 111: D12106 Doi:10.1029/2005JD006548.
20. Burnham KP, Anderson DR (2002) Model Selection and Multimodel Inference, 2d ed. Springer: New York.
21. Mesinger F, DiMego G, Kalnay E, Mitchell K, Shafran PC, et al. (2006) North American Regional Reanalysis. Bull. Am. Meteorol. Soc. 87: 343-360.
22. R Development Core Team (2010) R: A language environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
23. Pierce D (2011) ncdf: Interface to Unidata netCDF data files. R package version 1.6.6. http://CRAN.R-project.org/package=ncdf.
24. Hijmans RJ, van Etten J (2011) raster: Geographic analysis and modeling with raster data. R package version 1.9-29. http://CRAN.R-project.org/package=raster.
25. Bates D, Maechler M, Bolker B (2011) lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-42. http://CRAN.R-project.org/package=lme4.
26. Warnes GR (2012) gdata: Various R programming tools for data manipulation (2010). R package version 2.8.2. http://CRAN.R-project.org/package=gdata.
27. Pebesma EJ, Bivand RS (2005) Classes and methods for spatial data in R. R News 5 2: http://cran.r-project.org/doc/Rnews/.
28. Baddeley A, Turner R (2005) Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 12(6): 1-42. ISSN: 1548-7660. URL: www.jstatsoft.org.
29. Williams CN, Vose RS, Easterling DR, Menne MJ (2004) United States historical climatology network daily temperature, precipitation, and snow data. ORNL/CDIAC-118, NDP-070. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge.
30. Mahmood R, Foster SA, Logan D, (2006) The GeoProfile metadata, exposure of instruments, and measurement bias in climatic record revisited. Int J Climatol 26: 1091-1124.
31. Hubbard KG, Lin X, (2006) Reexamination of instrument change effects in the U.S. Historical Climatology Network. Geophys. Res. Lett. 33: L15710 Doi:10.1029/2006GL027069.
32. Vose RS, Williams Jr CN, Peterson TC, Karl TR, Easterling DR, (2003) An evaluation of the time of observation bias adjustment in the U.S. Historical Climatology Network. Geophys. Res. Lett. 30(20): 2046 Doi:10.1029/2003GL018111.
33. Pielke RA Sr, Davey CA, Niyogi D, Fall S, Steinweg-Woods J, et al. (2007) Unresolved issues with the assessment of multidecadal global land surface temperature trends. J. Geophys. Res. 112: D24S08 Doi: 10.1029/2006JD008229.
34. Barnes SL, (1964) A technique for maximizing details in numerical weather-map analysis. Journal of Applied Meterology 3(4): 396-409.