Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-10T02:41:25.123Z Has data issue: false hasContentIssue false

3 - Tropical climates

Published online by Cambridge University Press:  05 June 2012

Howard A. Bridgman
Affiliation:
University of Newcastle, New South Wales
John E. Oliver
Affiliation:
Indiana State University
Randall Cerveny
Affiliation:
Arizona State University
Paul Mausel
Affiliation:
Indiana State University
Dengsheng Lu
Affiliation:
Indiana University
Nelson Dias
Affiliation:
Universidade de Taubaté
Get access

Summary

Introduction

For many years, from early exploration to perhaps the middle of the twentieth century, the weather and climate of the tropical world were considered among the most easily explained of all world climate systems. The daily rainfall of the equatorial zone, the constancy of the trade winds, and the unrelenting aridity of the tropical deserts gave an impression of benign and unchanging conditions. Such is far from the case. Within the tropics are some of the most interesting and difficult to explain phenomena of the world's climates.

The Earth's tropical regions are, in terms of geographic location, the area between the Tropic of Cancer (23.5° N), and the Tropic of Capricorn (23.5° S). Such a definition is not suitable, however, for identification of the climatic regimes and over the years a number definitions have been suggested. In his classification of world climate in 1896, Supan proposed that locations with annual average temperature greater than 20°C might be considered as the tropics. In his widely used 1918 classification, Köppen classed tropical climates as having the average temperature of each month greater than 18°C. Using this criterion, the wet tropical climates occupy some 36% of the Earth's surface. If the tropical deserts are added to this class, then the tropics comprise almost 50% of the surface area of the world.

Type
Chapter
Information
The Global Climate System
Patterns, Processes, and Teleconnections
, pp. 59 - 95
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amelung, T. and Diehl, M., 1992. Deforestation of the Tropical Rain Forests: Economic Causes and Impact on Development. Tubingen, Germany: J. C. B. Mohr.Google Scholar
Anderson, A., 1990. Alternatives to Deforestation: Steps Toward a Sustainable Use of the Amazon Rain Forest. New York: Columbia University Press.Google Scholar
Andreae, M. O., Artaxo, P., Brandao, C., et al., 2002. Biogeochemical cycling of carbon, water, energy, trace gases, and aerosols in Amazonia: The LBA-EUSTACH experiments. Journal of Geophysical Research, 107, LBA 33–1 to 33–25.CrossRefGoogle Scholar
Andreae, M. O., Rosenfeld, D., Artaxo, P., et al., 2004. Smoking clouds over the Amazon. Science, 303, 1337–1342.CrossRefGoogle ScholarPubMed
Araujo, A. C., Nobre, A. D., Kruijt, B., et al., 2002. Comparative measurements of carbon dioxide fluxes from two nearby towers in a central Amazonian rainforest: The Manaus LBA site. Journal of Geophysical Research, 107, LBA 58–1 to 58–20.CrossRefGoogle Scholar
Artaxo, P., Martins, J. V., Yamasoe, M. A., et al., 2002. Physical and chemical properties of aerosols in the wet and dry seasons in Rondonia, Amazonia. Journal of Geophysical Research, 107, LBA 49–1 to 49–14.CrossRefGoogle Scholar
Asnani, G. C., 1968. The equatorial cell in the general circulation. Journal of Atmospheric Sciences, 25, 133–134.2.0.CO;2>CrossRefGoogle Scholar
Batistella, M., 1999. Exploratory comparison between maximum likelihood and spatial-spectral classifiers using Landsat TM bands and principal component analysis for selected areas in Tome Açu, Brazilian Amazon. In GIS Brasil 99 – V Congresso E Feira Para Usuários De Geoprocessamento Da América Latina, 1999, Salvador/Brasil. Anais. Curitiba, Brasil: Sagres Editora.Google Scholar
Brondízio, E. S., Moran, E. F., Mausel, P. and Wu, Y., 1996. Land cover in the Amazon estuary: linking of the Thematic Mapper with botanical and historical data. Photogrammetric Engineering and Remote Sensing, 62, 921–929.Google Scholar
Carswell, F. E., Costa, A. L., Palheta, M., et al., 2002. Seasonality in CO2 and H2O flux at an eastern Amazonian rain forest. Journal of Geophysical Research, 107, LBA 43–1 to 43–16.CrossRefGoogle Scholar
Chappell, A. and Agnew, C. T., 2004. Modelling climate change in the West African Sahel (1931–90) as an artifact of changing station location. International Journal of Climatology, 24, 547–554.CrossRefGoogle Scholar
Charney, J. G., 1971. Tropical cyclogenesis and the formation of the Intertropical Convergence Zone. In Reid, W. H., ed., Mathematical Problems of Geophysical Fluid Dynamics. Lectures in Applied Mathematics, Vol. 13, American Mathematical Society, pp. 355–368.Google Scholar
Das, P. K., 1986. Monsoons. World Meteorological Organization, WMO No. 613.Google Scholar
Das, P. K., 2002. The Monsoons. India: National Book Trust.Google Scholar
Dickey, J. O., Marcus, S. L., Hide, R., Eubanks, T. M. and Doggs, D. H., 1994. Angular-momentum exchange among the solid Earth, atmosphere, and oceans – a case study of the 1982–1983 El Nino Event. Journal of Geophysical Research – Solid Earth, 99, 23921–23937.CrossRefGoogle Scholar
Dickinson, R. E. and Kennedy, P., 1992. Impacts on regional climate of Amazon deforestation. Geophysical Research Letters, 19, 1947–1950.CrossRefGoogle Scholar
Done, S. J., Holbrook, N. J. and Beggs, P. J., 2002. The Quasi-Biennial Oscillation and Ross River virus incidence in Queensland, Australia. International Journal of Biometeorology, 46, 202–207.CrossRefGoogle ScholarPubMed
Fazakas, Z., Nilsson, M. and Olsson, H., 1999. Regional forest biomass and wood volume estimation using satellite data and ancillary data. Agricultural and Forest Meteorology, 98–99, 417–425.Google Scholar
Fearnside, P. M., 1986. Human Carrying Capacity of the Brazilian Rain Forest. New York: Columbia University Press.Google Scholar
Fearnside, P. M., 2000. Global warming and tropical land use change: Greenhouse gas emissions from biomass burning, decomposition, and soils in forest conversion, shifting cultivation, and secondary vegetation. Climatic Change, 46, 115–158.CrossRefGoogle Scholar
Flasar, F. M., Kunde, V. G., Achterberg, R. K., et al., 2004. An intense stratospheric jet on Jupiter. Nature, 427, 132–135.CrossRefGoogle ScholarPubMed
Fletcher, R. D., 1945. The general circulation of the tropical and equatorial atmosphere. Journal of Meteorology, 2, 167–174.2.0.CO;2>CrossRefGoogle Scholar
Foody, G. M., Boyd, D. S. and Cutler, M. E. J., 2003. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment, 85, 463–474.CrossRefGoogle Scholar
Gash, J. H. C. and Nobre, C. A., 1997. Climatic effects of Amazonian deforestation: some results from ABRACOS. Bulletin American Meteorological Society Society, 78, 823–833.2.0.CO;2>CrossRefGoogle Scholar
Giambelluca, T. W. and Schroeder, T. A., 1998. Climate. In Juvik, S. P., Juvik, J. O. and Paradise, T. R., eds., Atlas of Hawai‘i. Honolulu: University of Hawai‘i Press.Google Scholar
Goswami, B. N., Shukla, J., Schneider, E. K. and Sud, Y. C., 1984. Study of the dynamics of the Intertropical Convergence Zone with a symmetric version of the GLAS climate model. Journal of Atmospheric Sciences, 41, 5–19.2.0.CO;2>CrossRefGoogle Scholar
Gray, W., 1984. Atlantic season hurricane frequency. Part I: El Nino and 30 mb quasi-biennial oscillation influences. Monthly Weather Review, 112, 1649–1668.2.0.CO;2>CrossRefGoogle Scholar
Hall, A., 1997. Sustaining Amazonia. New York: St. Martins Press.Google Scholar
Hess, P. G., Battisti, D. S. and Rasch, P. J., 1993. Maintenance of the Intertropical Convergence Zones and the large scale tropical circulation on a water covered earth. Journal of Atmospheric Sciences, 50, 691–713.2.0.CO;2>CrossRefGoogle Scholar
Inoue, M. and Bigg, G. R., 1995. Trends in wind and sea level pressure in the tropical Pacific Ocean for the period 1950–1979. International Journal of Climatology, 15, 35–52.CrossRefGoogle Scholar
Jones, P. D., 1991. Southern Hemisphere sea level pressure data; an analysis and reconstruction back to 1951 and 1911. International Journal of Climatology, 11, 585–608.CrossRefGoogle Scholar
Kelly, M. and Hulme, M., 1993. Exploring the links between desertification and climate change. Environment, July/August, 35(6), 4–15.Google Scholar
Kirtman, B. P. and Schneider, E. K., 2000. Spontaneously generated tropical atmospheric general circulation. Journal of Atmospheric Sciences, 57, 2080–2093.2.0.CO;2>CrossRefGoogle Scholar
Labitzke, K., 1987. Sunspots, the QBO and the stratospheric temperature in the North Polar Region. Geophysical Research Letters, 14, 535–537.CrossRefGoogle Scholar
Labitzke, K. and Loon, H., 1988. Association between the 11-year solar cycle, the QBO and the atmosphere. Part I: The troposphere and stratosphere in the Northern Hemisphere in winter. Journal of Atmospheric and Terrestrial Physics, 50, 197–206.CrossRefGoogle Scholar
Houérou, H. N. 1975. The nature and causes of desertification. In Proceedings of the IGU Meeting on Desertification. Cambridge: Cambridge University Press.Google Scholar
Liu, W. T. and Xie, X., 2002. Double intertropical convergence zones – A new look using scatterometer. Geophysical Research Letters, 29, 291–294.CrossRefGoogle Scholar
Lu, D., Mausel, P., Batistella, M. and Moran, E., 2004. Comparison of land-cover classification methods in the Brazilian Amazon basin. Photogrammetric Engineering and Remote Sensing, 70, 723–731.CrossRefGoogle Scholar
Lu, D., Moran, E., Mausel, P. and Brondizio, E., 2005a. Comparison of aboveground biomass across Amazon sites. In Moran, E. and Ostrom, E., eds., Seeing the Forest and the Trees: Human-Environment Interactions in Forest Ecosystems. Cambridge, Mass.: MIT Press.Google Scholar
Lu, D., Batistella, M. and Moran, E., 2005b. Satellite estimation of aboveground biomass and impacts of forest stand structure. Photogrammetric Engineering and Remote Sensing, 71, 967.CrossRefGoogle Scholar
Lucas, R. M., Honzák, M., Curran, P. J., et al., 2000. Mapping the regional extent of tropical forest regeneration stages in the Brazilian Legal Amazon using NOAA AVHRR data. International Journal of Remote Sensing, 21, 2855–2881.CrossRefGoogle Scholar
Malhi, Y., Baldocchi, D. D. and Jarvis, P. G., 1999. The carbon balance of tropical, temperate, and boreal forests. Plant, Cell and Environment 22, 715–740.CrossRefGoogle Scholar
Mausel, P., Wu, Y., Li, Y., Moran, E. F. and Brondízio, E. S., 1993. Spectral identification of succession stages following deforestation in the Amazon. Geocarto International, 8, 61–72.CrossRefGoogle Scholar
McGregor, G. R. and Nieuwolt, S., 1998. Tropical Climatology, 2nd edn. New York: Wiley.Google Scholar
McIlveen, R., 1992. Fundamentals of Weather and Climate. London: Chapman & Hall.CrossRefGoogle Scholar
Moran, E. F., 1981. Developing the Amazon. Bloomington, Ind.: Indiana University Press.Google Scholar
Negri, A. J., Adler, R. F., Xu, L. and Surratt, J., 2004. The impact of Amazonia deforestation in dry season rainfall. Journal of Climate, 17, 1306–1391.2.0.CO;2>CrossRefGoogle Scholar
Nelson, R., Kimes, D. S., Salas, W. A. and Routhier, M., 2000. Secondary forest age and tropical forest biomass estimation using Thematic Mapper imagery. Bioscience, 50, 419–431.CrossRefGoogle Scholar
Nepstad, D. C., Moutinho, P., Dias-Filho, M. B., et al., 2002. The effects of partial throughfall exclusion on canopy processes, aboveground production, and biogeochemistry of an Amazon forest. Journal of Geophysical Research, 107, LBA 39–1 to 39–18.CrossRefGoogle Scholar
Numaguti, A., 1993. Dynamic and energy balance of the Hadley circulation and the tropical precipitation zones: significance of the distribution of evaporation. Journal of Atmospheric Sciences, 50, 1874–1887.2.0.CO;2>CrossRefGoogle Scholar
Oliver, J. E. and Hidore, J. J., 2002. Climatology: An Atmospheric Science. Upper Saddle River, N.J.: Prentice Hall.Google Scholar
Popescu, S. C., Wynne, R. H. and Nelson, R. F., 2003. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing, 29, 564–577.CrossRefGoogle Scholar
Potter, C., Davidison, E., Nepstad, D. and Carvalho, C. R., 2001. Ecosystem modeling and dynamic effects of deforestation on trace gas fluxes in Amazon tropical forests. Forest Ecology and Management, 152, 97–117.CrossRefGoogle Scholar
Randel, W. J. and Wu, F., 1996. Insolation of the ozone QBO in SAGE II data by singular decomposition. Journal of Atmospheric Sciences, 53, 2546–2559.2.0.CO;2>CrossRefGoogle Scholar
Raymond, D. J., 2000. The Hadley circulation as a radiative-convective instability. Journal of Atmospheric Sciences, 57, 1286–1297.2.0.CO;2>CrossRefGoogle Scholar
Roberts, G. C., Andreae, M. O., Zhou, J. and Artaxo, P., 2001. Cloud condensation nuclei in the Amazon Basin: Marine conditions over a continent?Geophysical Letters, 28, 2807–2810.CrossRefGoogle Scholar
Santos, J. R., Freitas, C. C., Araujo, L. S., et al., 2003. Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest. Remote Sensing of Environment, 87, 482–493.CrossRefGoogle Scholar
Schneider, E. K. and Lindzen, R. S., 1977. Axial symmetric steady-state models of the basic state for instability and climate studies. Part I: Linearized calculations. Journal of Atmospheric Science, 34, 263–279.2.0.CO;2>CrossRefGoogle Scholar
Shapiro, L. J., 1989. The relationship of the quasi-biennial oscillation to Atlantic tropical storm activity. Monthly Weather Review 117, 1545–1552.2.0.CO;2>CrossRefGoogle Scholar
Shukla, J., Nobre, C. and Sellers, P., 1990. Amazon deforestation and climate change. Science, 247, 1322–1325.CrossRefGoogle ScholarPubMed
Silva Dias, M. A. F., Rutledge, S., Kabat, P., et al., 2002. Cloud and rain processes in a biosphere-atmosphere interaction context in the Amazon Region. Journal of Geophysical Research, 107, LBA 39–1 to 39–18.CrossRefGoogle Scholar
Skole, D. L. and Tucker, C. J., 1993. Tropical deforestation, fragmented habitat, and diversely affected habitat in the Brazilian Amazon: 1978–1988. Science, 260, 1905–1910.CrossRefGoogle Scholar
Taylor, C. M., 2001. Feedbacks between the land surface and the atmosphere in the Sahel. Arid Lands Newsletter, 49.Google Scholar
Tomas, R. A., Holton, J. R. and Webster, P. J., 1999. The influence of cross-equatorial pressure gradients on the location of near-equatorial convection. Quarterly Journal of the Royal Meteorological Society, 125, 1107–1127.CrossRefGoogle Scholar
Vieira, I. C. G., Almeida, A. S., Davidson, E. A., et al., 2003. Classifying successional forests using Landsat spectral properties and ecological characteristics in eastern Amazonia. Remote Sensing of Environment, 87, 470–481.CrossRefGoogle Scholar
Vincent, D. G., 1994. The South Pacific Convergence Zone (SPCZ): A review. Monthly Weather Review, 122, 1949–1970.2.0.CO;2>CrossRefGoogle Scholar
Vourlitis, G., Priante Filho, N., Hayashi, M. M. S., et al., 2002. The role of seasonal variations in meteorology on the net CO2 exchange of a Brazilian transitional tropical forest. In II Scientific Conference LBA (Large scale biosphere-atmosphere experiment in Amazonia), Manaus, 9–11 July, 2002.
Waliser, D. E. and Somerville, R. C. J., 1994. Preferred latitudes of the intertropical convergence zone. Journal of Atmospheric Sciences, 51, 1619–1639.2.0.CO;2>CrossRefGoogle Scholar
Williams, M., Shimabukuro, Y. E., Hebert, D. A., 2002. Heterogeneity of soils and vegetation in an eastern Amazonian rain forest: Implications for scaling up biomass and production. Ecosystems, 5(7), 692–704.CrossRefGoogle Scholar
Zhang, C., 2001. Double ITCZs. Journal of Geophysical Research, 106, 11785–11792. http://orca.rsmas.miami.edu/~czhang/Research/ITCZ/research.itczCrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×