In this work, we present a general theoretical study leading to analytical expression of the seasonal temperature at the near surface that is expected to evaluate any area seasonal temperature of the world using the least square method to fit the hourly data to the theoretical curve of the temperature. It is shown that the temperature is globally the result of two contributions: the contribution of the revolution movement of the terrestrial globe on its elliptical orbit around the sun, the contribution of the spin-orbit coupling for the rotation movement of the terrestrial globe around its polar axis and its revolution movement. The orbital behavior of the temperature is used to find the seasonal divisions of the climate for the local area considered. The whole expression of the temperature is very useful for the meteorological needs. The contribution of the human activities and natural instabilities are the results of discrepancies which increase errors (standard deviations).
References
[1]
Tchibozo, É.A.M., Agbon, A.C., Ognondoun, A. and Houessinon, B.R.D. (2024) Flood Risk Mapping of the Benin Municipalities at the Intersection of the Coastal Sedimentary Zone and the Crystalline Surface. Journal of Geographic Information System, 16, 321-342. https://doi.org/10.4236/jgis.2024.165020
[2]
Takuchev, N.P. (2024) Bad News—The Dominant Causes of the Earth’s Global Warming Are Processes on the Sun, and Humanity Can Do Nothing or Little to Stop It? Journal of High Energy Physics, Gravitation and Cosmology, 10, 1388-1411. https://doi.org/10.4236/jhepgc.2024.104078
[3]
Cuomo, V., Fontana, F. and Serio, C. (1986) Behaviour of Ambient Temperature on Daily Basis in Italian Climate. Revue de Physique Appliquée, 21, 211-218. https://doi.org/10.1051/rphysap:01986002103021100
[4]
Bilbao, J., de Miguel, A.H. and Kambezidis, H.D. (2002) Air Temperature Model Evaluation in the North Mediterranean Belt Area. Journal of Applied Meteorology, 41, 872-884. https://doi.org/10.1175/1520-0450(2002)041<0872:atmeit>2.0.co;2
[5]
Parrott, L., Kok, R. and Lacroix, R. (1996) Daily Average Temperatures: Modeling and Generation with a Fourier Transform Approach. Transactions of the ASAE, 39, 1911-1922. https://doi.org/10.13031/2013.27670
[6]
Stine, A.R. and Huybers, P. (2012) Changes in the Seasonal Cycle of Temperature and Atmospheric Circulation. Journal of Climate, 25, 7362-7380. https://doi.org/10.1175/jcli-d-11-00470.1
[7]
Hurrell, J., Meehl, G.A., Bader, D., Delworth, T.L., Kirtman, B. and Wielicki, B. (2009) A Unified Modeling Approach to Climate System Prediction. Bulletin of the American Meteorological Society, 90, 1819-1832. https://doi.org/10.1175/2009bams2752.1
[8]
Comments (2010) Comments on “A Unified Modeling Approach to Climate System Prediction”. American Meteorological Society.
[9]
Smith, D.M., Cusack, S., Colman, A.W., Folland, C.K., Harris, G.R. and Murphy, J.M. (2007) Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model. Science, 317, 796-799. https://doi.org/10.1126/science.1139540
[10]
Djiedeu, N. (2017) Nature of Forces Acting on the Terrestrial Globe. LAP LAMBERT Academic Publishing.
[11]
Bell, J., Modi-Mbog, E.C., Djiedeu, N. and Nana, L. (2023) Modeling Daily Average Temperatures in a Coastal Site of Central Africa: An Analysis of Seasonal Divisions. Atmospheric and Climate Sciences, 13, 341-352. https://doi.org/10.4236/acs.2023.133019
[12]
Djiedeu, N. (2015) Periodical and Temporal Indicator for Statistical Study of Phenomena Evolving with Time: Universal Standard Calendar. International Journal of Modern Education Research, 2, 34-42.
[13]
Pezzulli, S., Stephenson, D.B. and Hannachi, A. (2005) The Variability of Seasonality. Journal of Climate, 18, 71-88. https://doi.org/10.1175/jcli-3256.1
[14]
Islam, K.I., Khan, A. and Islam, T. (2015) Correlation between Atmospheric Temperature and Soil Temperature: A Case Study for Dhaka, Bangladesh. Atmospheric and Climate Sciences, 5, 200-208. https://doi.org/10.4236/acs.2015.53014
[15]
Theeuwen, J., Staal, A., Tuinenburg, O.A., Hamelers, B.V.M. and Dekker, S.C. (2023) Local Moisture Recycling across the Globe. Hydrology and Earth System Sciences, 27, 1457-1476. https://doi.org/10.5194/hess-27-1457-2023
[16]
Baldé, N.A., Keita, O., Bah, A.L. and Millimono, T.N. (2024) Wind Potential Modeling at Kanfarandé Site in the Republic of Guinea. Journal of Power and Energy Engineering, 12, 50-62. https://doi.org/10.4236/jpee.2024.129004
