Fine-resolved, near-Coastal spatiotemporal variation of temperature in response to insolation

Journal of Applied Meteorology and Climatology

Volumn 52, Issue 5, 2013, Pages 1208-1220

  Vercauteren, Nikki ^a   Destouni, Georgia ^a   Dahlberg, Carl Johan ^a   Hylander, Kristoffer ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC CONDITIONS; DIURNAL TEMPERATURES; LINEAR REGRESSION MODELS; NEAR SURFACE TEMPERATURE; SPATIO-TEMPORAL VARIATION; SPATIOTEMPORAL RESPONSE; TEMPERATURE EVOLUTION; TEMPERATURE RESPONSE;

ATMOSPHERIC TEMPERATURE; GEOGRAPHIC INFORMATION SYSTEMS; INCIDENT SOLAR RADIATION; LINEAR REGRESSION;

SURFACE TOPOGRAPHY;

AIR TEMPERATURE; COASTAL ZONE; DIURNAL VARIATION; GIS; NUMERICAL MODEL; SOLAR RADIATION; SPATIAL DISTRIBUTION; SPATIOTEMPORAL ANALYSIS; SURFACE TEMPERATURE; TOPOGRAPHIC EFFECT;

SWEDEN;

EID: 84880281468     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-12-0115.1     Document Type: Article

References (52)

1. Ashcroft, M. B., K. O. French, and L. A. Chisholm, 2011: An evaluation of environmental factors affecting species distributions. Ecol. Modell., 222, 524-531.
2. Åström, M.,M. Dynesius, K. Hylander, and C. Nilsson, 2007: Slope aspect modifies community responses to clear-cutting in boreal forests. Ecology, 88, 749-758.
3. Blandford, T., and K. Humes, 2008: Seasonal and synoptic variations in near-surface air temperature lapse rates in a mountainous basin. J. Appl. Meteor. Climatol., 47, 249-261.
4. Bristow, K., and G. Campbell, 1984: On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agric. For. Meteor., 31, 159-166.
5. Broxton, P. D., P. A. Troch, and S. W. Lyon, 2009: On the role of aspect to quantify water transit times in small mountainous catchments. Water Resour. Res., 45, W08427, doi:10.1029/ 2008WR007438.
6. Chen, D., L. Gong, C.-Y. Xu, and S. Halldin, 2007: A highresolution, gridded dataset for monthly temperature normals (1971-2000) in Sweden. Geogr. Ann., 89A, 249-261.
7. Chung, U., and J. Yun, 2004: Solar irradiance-corrected spatial interpolation of hourly temperature in complex terrain. Agric. For. Meteor., 126, 129-139.
8. Dai, A., K. E. Trenberth, and T. R. Karl, 1999: Effects of clouds, soil moisture, precipitation, and water vapor on diurnal temperature range. J. Climate, 12, 2451-2473.
9. Daly, C., and D. Conklin, 2010: Local atmospheric decoupling in complex topography alters climate change impacts. Int. J. Climate, 30, 1857-1864.
10. Dobrowski, S. Z., 2011: A climatic basis for microrefugia: The influence of terrain on climate. Global Change Biol., 17, 1022- 1035.
11. Dobrowski, S. Z., J. T. Abatzoglou, J. Greenberg, and S. Schladow, 2009: How much influence does landscape-scale physiography have on air temperature in a mountain environment? Agric. For. Meteor., 149, 1751-1758.
12. Dubayah, R., and P. M. Rich, 1995: Topographic solar radiation models for GIS. Int. J. Geogr. Inf. Syst., 9, 405-419.
13. ESRI, cited 2012: Area solar radiation. [Available online at http:// webhelp.esri.com/arcgiSDEsktop/9.3/index.cfm?TopicName5 Area_Solar_Radiation.]
14. Fridley, J. D., 2009: Downscaling climate over complex terrain: High finescale (,1000 m) spatial variation of near-ground temperatures in a montane forested landscape (Great Smoky Mountains). J. Appl. Meteor. Climatol., 48, 1033- 1049.
15. Fu, P., and P. Rich, 1999a: Design and implementation of the solar analyst: An ArcView extension for modeling solar radiation at landscape scales. Proc. 19th Annual ESRI User Conf., San Diego, CA, ESRI. [Available online at http://proceedings.esri.com/library/userconf/proc99/proceed/papers/pap867/p867.htm.]
16. Fu, P., and P. Rich, 1999b: TopoView, Version 1.0 Manual. Helios Environmental Modeling Institute, 52 pp.
17. Fu, P., and P. Rich, 2002: A geometric solar radiation model with applications in agriculture and forestry. Comput. Electron. Agric., 37, 25-35.
18. Gaston, K. J., 2003: The Structure and Dynamics of Geographic Ranges. Oxford University Press, 280 pp.
19. Geerts, B., 2003: Empirical estimation of the monthly-mean daily temperature range. Theor. Appl. Climatol., 74, 145-165.
20. Geiger, R., 1965: The Climate Near the Ground. 4th ed. Harvard University Press, 611 pp.
21. Hampe, A., and A. S. Jump, 2011: Climate relicts: Past, present, future. Annu. Rev. Ecol. Evol. Syst., 42, 313-333.
22. Higley, L. G., L. P. Pedigo, and K. R. Ostlie, 1986: DEGDAY: A program for calculating degree-days, and assumptions behind the degree-day approach. Environ. Entomol., 15, 999-1018.
23. Hock, R., 2003: Temperature index melt modelling in mountain areas. J. Hydrol., 282, 104-115.
24. Holdaway,M., 1996: Spatial modeling and interpolation of monthly temperature using kriging. Climate Res., 6, 215-225.
25. Holden, Z. A., J. T. Abatzoglou, C. H. Luce, and L. S. Baggett, 2011: Empirical downscaling of daily minimum air temperature at very fine resolutions in complex terrain. Agric. For. Meteor., 151, 1066-1073.
26. Huang, S., P. M. Rich, R. L. Crabtree, C. S. Potter, and P. Fu, 2008: Modeling monthly near-surface air temperature from solar radiation and lapse rate: Application over complex terrain in Yellowstone National Park. Phys. Geogr., 29, 158-178.
27. Hubbart, J., T. Link, C. Campbell, and D. Cobos, 2005: Evaluation of a low-cost temperature measurement system for environmental applications. Hydrol. Processes, 19, 1517-1523.
28. Huwald, H., C. W. Higgins, M.-O. Boldi, E. Bou-Zeid, M. Lehning, and M. B. Parlange, 2009: Albedo effect on radiative errors in air temperature measurements. Water Resour. Res., 45, W08431, doi:10.1029/2008WR007600.
29. Kirschbaum, M. U. F., 2004: Direct and indirect climate change effects on photosynthesis and transpiration. Plant Biol., 6, 242-253.
30. Lundquist, J. D., and B. Huggett, 2008: Evergreen trees as inexpensive radiation shields for temperature sensors. Water Resour. Res., 44, W00D04, doi:10.1029/2008WR006979.
31. Lundquist, J. D., N. Pepin, and C. Rochford, 2008: Automated algorithm for mapping regions of cold-air pooling in complex terrain. J. Geophys. Res., 113, D22107, doi:10.1029/2008JD009879.
32. Lyon, S. W., P. A. Troch, P. D. Broxton, N. P. Molotch, and P. D. Brooks, 2008: Monitoring the timing of snowmelt and the initiation of streamflow using a distributed network of temperature/ light sensors. Ecohydrology, 1, 215-224.
33. Mahrt, L., 2006: Variation of surface air temperature in complex terrain. J. Appl. Meteor. Climatol., 45, 1481-1493.
34. Makowski, K., E. B. Jaeger, M. Chiacchio, M. Wild, T. Ewen, and A. Ohmura, 2009: On the relationship between diurnal temperature range and surface solar radiation in Europe. J. Geophys. Res., 114, D00D07, doi:10.1029/2008JD011104.
35. Mclaughlin, B. C., and E. S. Zavaleta, 2012: Predicting species responses to climate change: Demography and climate microrefugia in CaliforniaValley oak (Quercus lobata). Global Change Biol., 18, 2301-2312.
36. McMaster, G. S., and W. W. Wilhelm, 1997: Growing degree-days: One equation, two interpretations. Agric. For. Meteor., 87, 291-300.
37. Minder, J. R., P. W. Mote, and J. D. Lundquist, 2010: Surface temperature lapse rates over complex terrain: Lessons from the CascadeMountains. J.Geophys.Res., 115, D14122, doi:10.1029/ 2009JD013493.
38. Oke, T., 1987: Boundary Layer Climates. 2nd ed. Routledge, 464 pp.
39. Pepin, N. C., M. K. Schaefer, and L. D. Riddy, 2009: Quantification of the cold-air pool in Kevo Valley, Finnish Lapland. Weather, 64, 60-67.
40. Pierce, K. B., Jr., T. Lookingbill, and D. Urban, 2005: A simple method for estimating Potential Relative Radiation (PRR) for landscape-scale vegetation analysis. Landscape Ecol., 20, 137- 147.
41. Pike, G., N. C. Pepin, and M. Schaefer, 2013: High latitude local scale temperature complexity: The example of Kevo Valley, Finnish Lapland. Int. J. Climatol., doi:10.1002/joc.3573, in press.
42. Simoni, S., and Coauthors, 2011: Hydrologic response of an alpine watershed: Application of a meteorological wireless sensor network to understand streamflow generation. Water Resour. Res., 47, W10524, doi:10.1029/2011WR010730.
43. Söderström, L., 1981: Distribution of bryophytes in spruce forests on hill slopes in central Sweden. Wahlenbergia Scr. Bot. Umensia, 7, 141-153.
44. Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. 1st ed. Springer, 684 pp.
45. Thompson, K., J. P. Grime, and G. Mason, 1977: Seed germination in response to diurnal fluctuations of temperature. Nature, 267, 147-149.
46. Thuiller, W., M. B. Araujo, and S. Lavorel, 2004: Do we need landcover data to model species distributions in Europe? J. Biogeogr., 31, 353-361.
47. Tietäväinen, H., and H. Tuomenvirta, 2010: Annual and seasonal mean temperatures in Finland during the last 160 years based on gridded temperature data. Int. J. Climatol., 30, 2247- 2256.
48. Trivedi, M. R., P. M. Berry, M. D. Morecroft, and T. P. Dawson, 2008: Spatial scale affects bioclimate model projections of climate change impacts on mountain plants. Global Change Biol., 14, 1089-1103.
49. Vajda, A., and A. Ven€al€ainen, 2003: The influence of natural conditions on the spatial variation of climate in Lapland, northern Finland. Int. J. Climatol., 23, 1011-1022.
50. Virtanen, T., S. Neuvonen, and A. Nikula, 1998: Modelling topoclimatic patterns of egg mortality of Epirrita autumnata (Lepidoptera: Geometridae) with a geographical information system: Predictions for current climate and warmer climate scenarios. J. Appl. Ecol., 35, 311-322.
51. Yang, K., T. Koike, and B. Ye, 2006: Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets. Agric. For. Meteor., 137, 43-55.
52. Yang, Z., E. Hanna, and T. V. Callaghan, 2011: Modelling surfaceair temperature variation over complex terrain aroundAbisko, Swedish Lapland: Uncertainties of measurements and models at different scales. Geogr. Ann., 93A, 89-112.