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Aridity index

From Wikipedia, the free encyclopedia
Numerical indicator of dryness of the climate at a given location

Anaridity index (AI) is a numerical indicator of the degree of dryness of the climate at a given location. The American Meteorological Society defined it in meteorology and climatology, as "the degree to which a climate lacks effective, life-promoting moisture". Aridity is different fromdrought because aridity is permanent whereasdrought is temporary.[1] A number ofaridity indices have been proposed (see below); these indicators serve to identify, locate or delimit regions that suffer from a deficit of available water, a condition that can severely affect the effective use of the land for such activities as agriculture or stock-farming.

See also:Desert climate

Historical background and indices

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Köppen

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Main article:Köppen climate classification

At the turn of the 20th century,Wladimir Köppen andRudolf Geiger developed the concept of aclimate classification where arid regions were defined as those places where the annual rainfall accumulation (in centimetres) is less thanR/2{\displaystyle R/2}, where:

whereT{\displaystyle T} is the mean annual temperature in Celsius.

This was one of the first attempts at defining an aridity index, one that reflects the effects of the thermal regime and the amount and distribution of precipitation in determining the native vegetation possible in an area. It recognizes the significance of temperature in allowing colder places such as northernCanada to be seen as humid with the same level of precipitation as some tropical deserts because of lower levels of potential evapotranspiration in colder places. In the subtropics, the allowance for the distribution of rainfall between warm and cold seasons recognizes that winter rainfall is more effective for plant growth that can flourish in the winter and go dormant in the summer than the same amount of summer rainfall during a warm-to-hot season. Thus a place likeAthens, Greece that gets most of its rainfall in winter can be considered to have a humid climate (as attested in lush foliage) with roughly the same amount of rainfall that imposes semi-desert conditions inMidland, Texas, where rainfall largely occurs in the summer.

Thornthwaite

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Main article:Thornthwaite climate classification

In 1948,C. W. Thornthwaite proposed an AI defined as:

AIT=100×dn{\displaystyle AI_{T}=100\times {\frac {d}{n}}}

where the water deficiencyd{\displaystyle d} is calculated as the sum of the monthly differences between precipitation and potential evapotranspiration for those months when the normal precipitation is less than the normal evapotranspiration; and wheren{\displaystyle n} stands for the sum of monthly values of potential evapotranspiration for the deficient months (after Huschke, 1959). This AI was later used by Meigs (1961) to delineate the arid zones of the world in the context of the UNESCO Arid Zone Research programme.[2]

United Nations Environment Programme

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In the preparations leading to the 1977 UN Conference on Desertification (UNCOD), theUnited Nations Environment Programme (UNEP) issued a dryness map based on a different aridity index, proposed originally byMikhail Ivanovich Budyko (1958)[3] and defined as follows:[4]

AIB=100×RLP{\displaystyle AI_{B}=100\times {\frac {R}{LP}}}

whereR{\displaystyle R} is the mean annual net radiation (also known as the net radiation balance),P{\displaystyle P} is the mean annual precipitation, andL{\displaystyle L} is the latent heat of vaporization for water. Note that this index is dimensionless and that the variablesR{\displaystyle R},L{\displaystyle L} andP{\displaystyle P} can be expressed in any system of units that is self-consistent.

More recently in 1992, the UNEP has adopted yet another index of aridity, defined as:[5]

Global map of the aridity index, from the CGIAR, following UNEP's definition, AI = P/PET.

AIU=PPET{\displaystyle AI_{U}={\frac {P}{PET}}}

wherePET{\displaystyle PET} is thepotential evapotranspiration andP{\displaystyle P} is the average annualprecipitation (UNEP, 1992). Here also,PET{\displaystyle PET} andP{\displaystyle P} must be expressed in the same units, e.g., in millimetres. In this latter case, the boundaries that define various degrees of aridity and the approximate areas involved are as follows:

ClassificationAridity IndexGlobal land area
HyperaridAI < 0.057.5%
Arid0.05 < AI < 0.2012.1%
Semi-arid0.20 < AI < 0.5017.7%
Dry subhumid0.50 < AI < 0.659.9%

As this index increases with wetter conditions, some hydrologists refer to this as a humidity index.

See also

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References

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  1. ^"Did You Know? | National Centers for Environmental Information (NCEI)".www.ncei.noaa.gov. Retrieved2023-05-18.
  2. ^Meigs, P. (1961) 'Map of arid zone', inL. D. Stamp (Editor)A History of Land Use in Arid Regions, UNESCO Arid Zone Research, Publication XVII, Paris, 388 p.
  3. ^Budyko, M. I. (1958)The Heat Balance of the Earth's Surface, trs. Nina A. Stepanova, US Department of Commerce, Washington, D.D., 259 p.
  4. ^UNCOD Secretariat (1977)Desertification: Its causes and consequences, Pergamon Press, 448 p.
  5. ^UNEP (1992)World Atlas of Desertification.
  • Huschke, Ralph E. (1959)Glossary of Meteorology, American Meteorological Society, Boston, Second printing-1970.
  • McIntosh, D. H. (1972)Meteorological Glossary, Her Majesty's Stationery Office, Met. O. 842, A.P. 897, 319 p.
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