Abstract
Accurate temperature data is important for both the development and use of phenological models, and this chapter discusses topics related to temperature measurement for use in phenological models. The chapter presents a short history of temperature measurement, the theory of temperature sensors, radiation shielding, and guidelines on weather sensor placement. Physiological time (degree day) calculation and its application are described. The impact of underlying surface, fetch, and surrounding environment on temperature and phenological time are discussed and some guidelines on measurement are presented.
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References
Allen JC (1976) A modified sine wave method for calculating degree days. Environ Entomol 5:388–396
Baskerville GL, Emin P (1969) Rapid estimation of heat accumulation from maximum and minimum temperatures. Ecology 50:514–517
Camuffo D, Bertolin C, della Valle A, Cocheo C, Diodato N, Enzi S, Sghedoni M, Barriendos M, Rodriguez R, Dominguez-Castro F, Garnier E, Alcoforado MJ, Nunes MF (2011) Climate change in the Mediterranean over the last five hundred years. In: Carayannis EG (ed) Planet earth 2011 – global warming challenges and opportunities for policy and practice. InTech, Rijeka
Cesaraccio C, Spano D, Duce P, Snyder RL (2001) An improved model for degree-days from temperature data. Int J Biometeorol 45:161–169
de Gaetano A, Knapp WW (1993) Standardization of weekly growing degree day accumulations based on differences in temperature observation and method. Agric For Meteorol 66:1–19
Gill GC (1983) Comparison testing of selected naturally ventilated solar radiation shields, Final report contract # NA-82-OA-A-266, NOAA, St. Louis
Horstmeyer S (2001) Building blocks – what goes on in a cubic meter of air? Weatherwise 54(5):20–27
Johnson ME, Fitzpatrick EA (1977) A comparison of methods of estimating a mean diurnal temperature curve during the daylight hours. Arch Meteorol Geophys Bioklimatol Ser B 25:251–263
Kline DE, Reid JF, Woeste FE (1982) Computer simulation of hourly dry-bulb temperatures. Virginia Agric Exp Sta, No 82–5. Virginia Politechnical Institute and State University, Blacksburg
Kramer K (1994) Selecting a model to predict the onset of growth of Fagus sylvatica. J Appl Ecol 31:172–181
Monteith JL, Unsworth MH (1990) Principles of environmental physics, 2nd edn. Edward Arnold, London
Parton WJ, Logan JA (1981) A model for diurnal variation in soil and air temperature. Agric For Meteorol 23:205–216
Pellizzaro G, Spano D, Canu A, Cesaraccio C (1996) Calcolo dei gradi–giorno per la previsione delle fasi fenologiche nell’actinidia. Italus Hortus 5:24–30
Quinn TJ (1985) Temperature. Academic, New York
Reicosky LJ, Winkelman JM, Baker JM, Baker DG (1989) Accuracy of hourly air temperatures calculated from daily minima and maxima. Agric For Meteorol 46:193–209
Roltsch JW, Zalom FG, Strawn AJ, Strand JF, Pitcairn MJ (1999) Evaluation of several degree day estimation methods in California climates. Int J Biometeorol 42:169–176
Snyder RL (1985) Hand calculating degree-days. Agric For Meteorol 35:353–358
Snyder RL, Spano D, Cesaraccio C, Duce P (1999) Determining degree-day threshold from field observations. Int J Biometeorol 42:177–182
Snyder RL, Spano D, Duce P, Cesaraccio C (2001) Temperature data for phenological models. Int J Biometeorol 45:178–183
Wann M, Yen D, Gold HJ (1985) Evaluation and calibration of three models for daily cycle of air temperature. Agric For Meteorol 34:121–128
Wilson LT, Barnett WW (1983) Degree-days: an aid in crop and pest management. Calif Agric 37:4–7
Yin X, Kropff MJ, McLaren G, Visperas RM (1995) A nonlinear model for crop development as a function of temperature. Agric For Meteorol 77:1–16
Zalom FG, Goodell PB, Wilson WW, Bentley WJ (1983) Degree-days: the calculation and the use of heat units in pest management, Leaflet 21373. Division of Agriculture and Natural Resources, University of California, Davis
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Snyder, R.L., Spano, D., Duce, P. (2013). Weather Station Siting: Effects on Phenological Models. In: Schwartz, M. (eds) Phenology: An Integrative Environmental Science. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6925-0_20
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DOI: https://doi.org/10.1007/978-94-007-6925-0_20
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