Does Irrigation Account for Global Warming?

(c) 2025 by Barton Paul Levenson



Engineer Daniel Pangburn has posited that global warming is not due to rising carbon dioxide, but to water vapor from increased irrigation (unless I misunderstand him). In addition, several posters on RealClimate maintain that changes in land use, as it relates to water use specifically, may play a role in global warming (this is more physically plausible than Mr. Pangburn's idea).

I was able to find a time series for global irrigated area from FAOSTAT. The units are thousands of hectares (kHa). I display this below, along with carbon dioxide level in ppmv (Mauna Loa) and NASA GisTemp temperature anomalies. The years available are 1961-2022, N = 62.



YearAreaCO2Anom
1961161148317.640.06
1962163682318.450.03
1963165638318.990.05
1964167747319.62-0.2
1965169704320.04-0.11
1966172668321.37-0.06
1967175205.7322.18-0.02
1968178775323.05-0.08
1969181454324.620.05
1970184302325.680.03
1971187754326.32-0.08
1972191364.6327.460.01
1973196133329.680.16
1974199106330.19-0.07
1975202511.8331.13-0.01
1976206634.7332.03-0.1
1977210096.2333.840.18
1978214416335.410.07
1979217753.5336.840.16
1980221210.4338.760.26
1981226729.5340.120.32
1982231026.9341.480.14
1983234264.85343.150.31
1984237730.4344.870.16
1985241487.9346.350.12
1986245210.4347.610.18
1987248218.13349.310.32
1988251075.63351.690.39
1989254261.43353.20.27
1990258045.7354.450.45
1991260752.43355.70.41
1992263894.74356.540.22
1993266202.34357.210.23
1994269158.84358.960.32
1995272748.03360.970.45
1996276988.63362.740.33
1997279839.61363.880.47
1998282756.78366.840.61
1999285636.2368.540.38
2000289344.08369.710.39
2001294204.186371.320.53
2002299572.336373.450.63
2003305086.205375.980.62
2004307997.5136377.70.53
2005310290.7111379.980.68
2006312442.7864382.090.64
2007314851.6806384.020.67
2008316626.6459385.830.55
2009319424.5774387.640.66
2010322836.632390.10.73
2011325977.109391.850.61
2012329928.44394.060.65
2013333157.9119396.740.68
2014335400.1985398.810.75
2015338041.8481401.010.9
2016339918.5237404.411.02
2017341992.3054406.760.92
2018343494.1974408.720.85
2019348811.7164411.650.98
2020352542.9275414.211.01
2021353049.0084416.410.85
2022353902.0127418.530.89



A correlation matrix shows that all the factors are highly correlated, a warning sign for multicolinearity:



rAreaCO2Anom
Area1.00000.98710.9518
CO2 1.00000.9621
Anom  1.0000


If multicolinearity is obscuring the results, a linear regression will have low t statistics on each independent variable. Here's the regression of temperature anomaly on CO2 and irrigated area together:



Anom = -3.228 + 4.38 x 10-7 area + 0.009697 CO2
N = 62; R2 = 0.9259; p < 4.63 x 10-34

tarea = 0.3605; p < 0.7917
tCO2 = 3.976; p < 0.000194



Both t statistics are not minimal; only the t statistic on area is. Examined together as independent variables for temperature anomaly, CO2 is highly significant and irrigated area is not. Thus I conclude that irrigation has minimal, if any, influence on the global temperature.



Page created:06/13/2025
Last modified:  06/13/2025
Author:BPL