Mauna Loa CO2 January to July trend goes negative first time in history

UPDATE5: MLO responds with improvements to the CO2 data reporting

UPDATE4 August 4th 11:45PST the Mauna Loa graph (but not data) has changed, see this new post

Back on April 6th of this year I made an observation about the trend in the CO2 data from the Mauna Loa Observatory dropping and possibly “leveling off”.

For that I was roundly criticized by those “in the know” and given the full Bulldog treatment.

[ UPDATE: Lucia has an interesting take on such criticisms ]

Well, it’s happened again. With the release of the July data from Mauna Loa Observatory, a new twist has occurred; this time there’s been a first ever trend reversal of the monthly mean CO2 levels from January to July. Here is the familiar Mauna Loa graph:

Source data: http://www.esrl.noaa.gov/gmd/ccgg/trends/

In the NOAA graph above, note the drop in the first few months of 2008, and the slightly muted rebound afterwards. Clearly something changed and the uncharacteristic drop in CO2 levels has been recorded by the world’s premiere CO2 monitoring station.

By itself, that blip isn’t much news, as there have been similar blips in the past, such as in 2004. But where it really gets interesting and unique is when you compare the seasonal difference, between, January 2008 to July 2008 levels against the rest of the Mauna Loa CO2 going back to 1958.

First let’s look at this year and last year in a magnified portion of the Mauna Loa CO2 monthly mean data:

Source data via FTP: Mauna Loa CO2 monthly mean data

Note that the January 2007 to July 2007 Delta was a positive 1.41 PPM, but this year, the January 2008 to July 2008 Delta value was negative at -0.42.

Going back through the data to compare previous January to July values, it has become clear that this is a unique event in the history of the data set. A value lower in July than January has never happened before. Prior to 2008, there has always been a gain from January to July.  This is a 6 month “seasonal”period from January 30th to July 31st, when the end of month data is released.

UPDATE 2: to see how far off the recent trendline the July value is, see this scatterplot from Lucia. Lucia has an interesting take

Residual from OLSClick for larger.

Below is the data table with the January and July values highlighted for your inspection.

What this means I cannot say. It may be noise, it could be a fault in the data gathering or in the measurement instrumentation. It may be an effect of increased ocean CO2 solubility due to the La Nina and global cold snap we’ve been having the past few months. Or it may be related to the biosphere respiration changing in some way we don’t know about.

This may signal a change,  or this one time event may in fact be that, one time. It may not happen again next year, we simply don’t know. But, it is unique and thought provoking.

UPDATE: Paul Clark of Woodfortrees.org where you can interactively graph a variety of datasets, offered this plot of rate of change:

Click for interactive graph

And Dee Norris offered up this graph from the same graph generator comparing rate of changes against the Pacific Decadal Oscillation, and the UAH Satellite Temperature data set. It would seem that the ocean solubility could be the largest factor.

It would seem to be a regional effect, which is probably driven by La Nina in the Pacific. The global CO2 trend continues:

The global data above is only plotted to April 2008, so it will interesting to see what happens when the new data comes in.

Data table below:


Data Table:

January and July values shown in bold.

# Mauna Loa Observatory CO2 data
#   decimal mean
#   date  
1958 3 1958.208 315.71
1958 4 1958.292 317.45
1958 5 1958.375 317.5
1958 6 1958.458 -99.99
1958 7 1958.542 315.86
1958 8 1958.625 314.93
1958 9 1958.708 313.2
1958 10 1958.792 -99.99
1958 11 1958.875 313.33
1958 12 1958.958 314.67
1959 1 1959.042 315.62
1959 2 1959.125 316.38
1959 3 1959.208 316.71
1959 4 1959.292 317.72
1959 5 1959.375 318.29
1959 6 1959.458 318.16
1959 7 1959.542 316.55
1959 8 1959.625 314.8
1959 9 1959.708 313.84
1959 10 1959.792 313.26
1959 11 1959.875 314.8
1959 12 1959.958 315.59
1960 1 1960.042 316.43
1960 2 1960.125 316.97
1960 3 1960.208 317.58
1960 4 1960.292 319.02
1960 5 1960.375 320.02
1960 6 1960.458 319.59
1960 7 1960.542 318.18
1960 8 1960.625 315.91
1960 9 1960.708 314.16
1960 10 1960.792 313.83
1960 11 1960.875 315
1960 12 1960.958 316.19
1961 1 1961.042 316.93
1961 2 1961.125 317.7
1961 3 1961.208 318.54
1961 4 1961.292 319.48
1961 5 1961.375 320.58
1961 6 1961.458 319.77
1961 7 1961.542 318.58
1961 8 1961.625 316.79
1961 9 1961.708 314.8
1961 10 1961.792 315.38
1961 11 1961.875 316.1
1961 12 1961.958 317.01
1962 1 1962.042 317.94
1962 2 1962.125 318.55
1962 3 1962.208 319.68
1962 4 1962.292 320.63
1962 5 1962.375 321.01
1962 6 1962.458 320.55
1962 7 1962.542 319.58
1962 8 1962.625 317.4
1962 9 1962.708 316.26
1962 10 1962.792 315.42
1962 11 1962.875 316.69
1962 12 1962.958 317.7
1963 1 1963.042 318.74
1963 2 1963.125 319.08
1963 3 1963.208 319.86
1963 4 1963.292 321.39
1963 5 1963.375 322.24
1963 6 1963.458 321.47
1963 7 1963.542 319.74
1963 8 1963.625 317.77
1963 9 1963.708 316.21
1963 10 1963.792 315.99
1963 11 1963.875 317.12
1963 12 1963.958 318.31
1964 1 1964.042 319.57
1964 2 1964.125 -99.99
1964 3 1964.208 -99.99
1964 4 1964.292 -99.99
1964 5 1964.375 322.24
1964 6 1964.458 321.89
1964 7 1964.542 320.44
1964 8 1964.625 318.7
1964 9 1964.708 316.7
1964 10 1964.792 316.79
1964 11 1964.875 317.79
1964 12 1964.958 318.71
1965 1 1965.042 319.44
1965 2 1965.125 320.44
1965 3 1965.208 320.89
1965 4 1965.292 322.13
1965 5 1965.375 322.16
1965 6 1965.458 321.87
1965 7 1965.542 321.39
1965 8 1965.625 318.8
1965 9 1965.708 317.81
1965 10 1965.792 317.3
1965 11 1965.875 318.87
1965 12 1965.958 319.42
1966 1 1966.042 320.62
1966 2 1966.125 321.59
1966 3 1966.208 322.39
1966 4 1966.292 323.87
1966 5 1966.375 324.01
1966 6 1966.458 323.75
1966 7 1966.542 322.4
1966 8 1966.625 320.37
1966 9 1966.708 318.64
1966 10 1966.792 318.1
1966 11 1966.875 319.78
1966 12 1966.958 321.08
1967 1 1967.042 322.06
1967 2 1967.125 322.5
1967 3 1967.208 323.04
1967 4 1967.292 324.42
1967 5 1967.375 325
1967 6 1967.458 324.09
1967 7 1967.542 322.55
1967 8 1967.625 320.92
1967 9 1967.708 319.31
1967 10 1967.792 319.31
1967 11 1967.875 320.72
1967 12 1967.958 321.96
1968 1 1968.042 322.57
1968 2 1968.125 323.15
1968 3 1968.208 323.89
1968 4 1968.292 325.02
1968 5 1968.375 325.57
1968 6 1968.458 325.36
1968 7 1968.542 324.14
1968 8 1968.625 322.03
1968 9 1968.708 320.41
1968 10 1968.792 320.25
1968 11 1968.875 321.31
1968 12 1968.958 322.84
1969 1 1969.042 324
1969 2 1969.125 324.42
1969 3 1969.208 325.64
1969 4 1969.292 326.66
1969 5 1969.375 327.34
1969 6 1969.458 326.76
1969 7 1969.542 325.88
1969 8 1969.625 323.67
1969 9 1969.708 322.38
1969 10 1969.792 321.78
1969 11 1969.875 322.85
1969 12 1969.958 324.12
1970 1 1970.042 325.03
1970 2 1970.125 325.99
1970 3 1970.208 326.87
1970 4 1970.292 328.14
1970 5 1970.375 328.07
1970 6 1970.458 327.66
1970 7 1970.542 326.35
1970 8 1970.625 324.69
1970 9 1970.708 323.1
1970 10 1970.792 323.16
1970 11 1970.875 323.98
1970 12 1970.958 325.13
1971 1 1971.042 326.17
1971 2 1971.125 326.68
1971 3 1971.208 327.18
1971 4 1971.292 327.78
1971 5 1971.375 328.92
1971 6 1971.458 328.57
1971 7 1971.542 327.34
1971 8 1971.625 325.46
1971 9 1971.708 323.36
1971 10 1971.792 323.56
1971 11 1971.875 324.8
1971 12 1971.958 326.01
1972 1 1972.042 326.77
1972 2 1972.125 327.63
1972 3 1972.208 327.75
1972 4 1972.292 329.72
1972 5 1972.375 330.07
1972 6 1972.458 329.09
1972 7 1972.542 328.05
1972 8 1972.625 326.32
1972 9 1972.708 324.93
1972 10 1972.792 325.06
1972 11 1972.875 326.5
1972 12 1972.958 327.55
1973 1 1973.042 328.55
1973 2 1973.125 329.56
1973 3 1973.208 330.3
1973 4 1973.292 331.5
1973 5 1973.375 332.48
1973 6 1973.458 332.07
1973 7 1973.542 330.87
1973 8 1973.625 329.31
1973 9 1973.708 327.51
1973 10 1973.792 327.18
1973 11 1973.875 328.16
1973 12 1973.958 328.64
1974 1 1974.042 329.35
1974 2 1974.125 330.71
1974 3 1974.208 331.48
1974 4 1974.292 332.65
1974 5 1974.375 333.16
1974 6 1974.458 332.06
1974 7 1974.542 330.99
1974 8 1974.625 329.17
1974 9 1974.708 327.41
1974 10 1974.792 327.2
1974 11 1974.875 328.33
1974 12 1974.958 329.5
1975 1 1975.042 330.68
1975 2 1975.125 331.41
1975 3 1975.208 331.85
1975 4 1975.292 333.29
1975 5 1975.375 333.91
1975 6 1975.458 333.4
1975 7 1975.542 331.78
1975 8 1975.625 329.88
1975 9 1975.708 328.57
1975 10 1975.792 328.46
1975 11 1975.875 329.26
1975 12 1975.958 -99.99
1976 1 1976.042 331.71
1976 2 1976.125 332.76
1976 3 1976.208 333.48
1976 4 1976.292 334.78
1976 5 1976.375 334.79
1976 6 1976.458 334.17
1976 7 1976.542 332.78
1976 8 1976.625 330.64
1976 9 1976.708 328.95
1976 10 1976.792 328.77
1976 11 1976.875 330.23
1976 12 1976.958 331.69
1977 1 1977.042 332.7
1977 2 1977.125 333.24
1977 3 1977.208 334.96
1977 4 1977.292 336.04
1977 5 1977.375 336.82
1977 6 1977.458 336.13
1977 7 1977.542 334.73
1977 8 1977.625 332.52
1977 9 1977.708 331.19
1977 10 1977.792 331.19
1977 11 1977.875 332.35
1977 12 1977.958 333.47
1978 1 1978.042 335.11
1978 2 1978.125 335.26
1978 3 1978.208 336.6
1978 4 1978.292 337.77
1978 5 1978.375 338
1978 6 1978.458 337.99
1978 7 1978.542 336.48
1978 8 1978.625 334.37
1978 9 1978.708 332.27
1978 10 1978.792 332.4
1978 11 1978.875 333.76
1978 12 1978.958 334.83
1979 1 1979.042 336.21
1979 2 1979.125 336.64
1979 3 1979.208 338.12
1979 4 1979.292 339.02
1979 5 1979.375 339.02
1979 6 1979.458 339.2
1979 7 1979.542 337.58
1979 8 1979.625 335.55
1979 9 1979.708 333.89
1979 10 1979.792 334.14
1979 11 1979.875 335.26
1979 12 1979.958 336.71
1980 1 1980.042 337.8
1980 2 1980.125 338.29
1980 3 1980.208 340.04
1980 4 1980.292 340.86
1980 5 1980.375 341.47
1980 6 1980.458 341.26
1980 7 1980.542 339.29
1980 8 1980.625 337.6
1980 9 1980.708 336.12
1980 10 1980.792 336.08
1980 11 1980.875 337.22
1980 12 1980.958 338.34
1981 1 1981.042 339.36
1981 2 1981.125 340.51
1981 3 1981.208 341.57
1981 4 1981.292 342.56
1981 5 1981.375 343.01
1981 6 1981.458 342.47
1981 7 1981.542 340.71
1981 8 1981.625 338.52
1981 9 1981.708 336.96
1981 10 1981.792 337.13
1981 11 1981.875 338.58
1981 12 1981.958 339.89
1982 1 1982.042 340.93
1982 2 1982.125 341.69
1982 3 1982.208 342.69
1982 4 1982.292 343.79
1982 5 1982.375 344.3
1982 6 1982.458 343.43
1982 7 1982.542 341.88
1982 8 1982.625 339.89
1982 9 1982.708 337.96
1982 10 1982.792 338.1
1982 11 1982.875 339.26
1982 12 1982.958 340.67
1983 1 1983.042 341.42
1983 2 1983.125 342.68
1983 3 1983.208 343.45
1983 4 1983.292 345.1
1983 5 1983.375 345.76
1983 6 1983.458 345.36
1983 7 1983.542 343.91
1983 8 1983.625 342.05
1983 9 1983.708 340
1983 10 1983.792 340.12
1983 11 1983.875 341.33
1983 12 1983.958 342.94
1984 1 1984.042 343.87
1984 2 1984.125 344.6
1984 3 1984.208 345.2
1984 4 1984.292 -99.99
1984 5 1984.375 347.36
1984 6 1984.458 346.74
1984 7 1984.542 345.41
1984 8 1984.625 343.01
1984 9 1984.708 341.23
1984 10 1984.792 341.52
1984 11 1984.875 342.86
1984 12 1984.958 344.41
1985 1 1985.042 345.09
1985 2 1985.125 345.89
1985 3 1985.208 347.5
1985 4 1985.292 348
1985 5 1985.375 348.75
1985 6 1985.458 348.19
1985 7 1985.542 346.54
1985 8 1985.625 344.63
1985 9 1985.708 343.03
1985 10 1985.792 342.92
1985 11 1985.875 344.24
1985 12 1985.958 345.62
1986 1 1986.042 346.43
1986 2 1986.125 346.94
1986 3 1986.208 347.88
1986 4 1986.292 349.57
1986 5 1986.375 350.35
1986 6 1986.458 349.72
1986 7 1986.542 347.78
1986 8 1986.625 345.86
1986 9 1986.708 344.84
1986 10 1986.792 344.32
1986 11 1986.875 345.67
1986 12 1986.958 346.88
1987 1 1987.042 348.19
1987 2 1987.125 348.55
1987 3 1987.208 349.52
1987 4 1987.292 351.12
1987 5 1987.375 351.84
1987 6 1987.458 351.49
1987 7 1987.542 349.82
1987 8 1987.625 347.63
1987 9 1987.708 346.38
1987 10 1987.792 346.49
1987 11 1987.875 347.75
1987 12 1987.958 349.03
1988 1 1988.042 350.2
1988 2 1988.125 351.61
1988 3 1988.208 352.22
1988 4 1988.292 353.53
1988 5 1988.375 354.14
1988 6 1988.458 353.62
1988 7 1988.542 352.53
1988 8 1988.625 350.41
1988 9 1988.708 348.84
1988 10 1988.792 348.94
1988 11 1988.875 350.04
1988 12 1988.958 351.29
1989 1 1989.042 352.72
1989 2 1989.125 353.1
1989 3 1989.208 353.65
1989 4 1989.292 355.43
1989 5 1989.375 355.7
1989 6 1989.458 355.11
1989 7 1989.542 353.79
1989 8 1989.625 351.42
1989 9 1989.708 349.81
1989 10 1989.792 350.11
1989 11 1989.875 351.26
1989 12 1989.958 352.63
1990 1 1990.042 353.64
1990 2 1990.125 354.72
1990 3 1990.208 355.49
1990 4 1990.292 356.09
1990 5 1990.375 357.08
1990 6 1990.458 356.11
1990 7 1990.542 354.7
1990 8 1990.625 352.68
1990 9 1990.708 351.05
1990 10 1990.792 351.36
1990 11 1990.875 352.81
1990 12 1990.958 354.22
1991 1 1991.042 354.85
1991 2 1991.125 355.67
1991 3 1991.208 357.04
1991 4 1991.292 358.4
1991 5 1991.375 359
1991 6 1991.458 357.99
1991 7 1991.542 356
1991 8 1991.625 353.78
1991 9 1991.708 352.2
1991 10 1991.792 352.22
1991 11 1991.875 353.7
1991 12 1991.958 354.98
1992 1 1992.042 356.09
1992 2 1992.125 356.85
1992 3 1992.208 357.73
1992 4 1992.292 358.91
1992 5 1992.375 359.45
1992 6 1992.458 359.19
1992 7 1992.542 356.72
1992 8 1992.625 354.79
1992 9 1992.708 352.79
1992 10 1992.792 353.2
1992 11 1992.875 354.15
1992 12 1992.958 355.39
1993 1 1993.042 356.77
1993 2 1993.125 357.17
1993 3 1993.208 358.26
1993 4 1993.292 359.17
1993 5 1993.375 360.07
1993 6 1993.458 359.41
1993 7 1993.542 357.44
1993 8 1993.625 355.3
1993 9 1993.708 353.87
1993 10 1993.792 354.04
1993 11 1993.875 355.27
1993 12 1993.958 356.7
1994 1 1994.042 357.99
1994 2 1994.125 358.81
1994 3 1994.208 359.68
1994 4 1994.292 361.13
1994 5 1994.375 361.48
1994 6 1994.458 360.6
1994 7 1994.542 359.2
1994 8 1994.625 357.23
1994 9 1994.708 355.42
1994 10 1994.792 355.89
1994 11 1994.875 357.41
1994 12 1994.958 358.74
1995 1 1995.042 359.73
1995 2 1995.125 360.61
1995 3 1995.208 361.58
1995 4 1995.292 363.05
1995 5 1995.375 363.62
1995 6 1995.458 363.03
1995 7 1995.542 361.55
1995 8 1995.625 358.94
1995 9 1995.708 357.93
1995 10 1995.792 357.8
1995 11 1995.875 359.22
1995 12 1995.958 360.44
1996 1 1996.042 361.83
1996 2 1996.125 362.95
1996 3 1996.208 363.91
1996 4 1996.292 364.28
1996 5 1996.375 364.93
1996 6 1996.458 364.7
1996 7 1996.542 363.31
1996 8 1996.625 361.15
1996 9 1996.708 359.39
1996 10 1996.792 359.34
1996 11 1996.875 360.62
1996 12 1996.958 361.96
1997 1 1997.042 362.81
1997 2 1997.125 363.87
1997 3 1997.208 364.25
1997 4 1997.292 366.02
1997 5 1997.375 366.46
1997 6 1997.458 365.32
1997 7 1997.542 364.08
1997 8 1997.625 361.95
1997 9 1997.708 360.06
1997 10 1997.792 360.49
1997 11 1997.875 362.19
1997 12 1997.958 364.12
1998 1 1998.042 364.99
1998 2 1998.125 365.82
1998 3 1998.208 366.95
1998 4 1998.292 368.42
1998 5 1998.375 369.33
1998 6 1998.458 368.78
1998 7 1998.542 367.59
1998 8 1998.625 365.84
1998 9 1998.708 363.83
1998 10 1998.792 364.18
1998 11 1998.875 365.34
1998 12 1998.958 366.93
1999 1 1999.042 367.94
1999 2 1999.125 368.82
1999 3 1999.208 369.46
1999 4 1999.292 370.77
1999 5 1999.375 370.66
1999 6 1999.458 370.1
1999 7 1999.542 369.08
1999 8 1999.625 366.66
1999 9 1999.708 364.6
1999 10 1999.792 365.17
1999 11 1999.875 366.51
1999 12 1999.958 367.89
2000 1 2000.042 369.04
2000 2 2000.125 369.35
2000 3 2000.208 370.38
2000 4 2000.292 371.63
2000 5 2000.375 371.32
2000 6 2000.458 371.53
2000 7 2000.542 369.75
2000 8 2000.625 368.23
2000 9 2000.708 366.87
2000 10 2000.792 366.94
2000 11 2000.875 368.27
2000 12 2000.958 369.64
2001 1 2001.042 370.46
2001 2 2001.125 371.44
2001 3 2001.208 372.37
2001 4 2001.292 373.32
2001 5 2001.375 373.77
2001 6 2001.458 373.09
2001 7 2001.542 371.51
2001 8 2001.625 369.55
2001 9 2001.708 368.12
2001 10 2001.792 368.38
2001 11 2001.875 369.66
2001 12 2001.958 371.11
2002 1 2002.042 372.36
2002 2 2002.125 373.09
2002 3 2002.208 373.81
2002 4 2002.292 374.93
2002 5 2002.375 375.58
2002 6 2002.458 375.44
2002 7 2002.542 373.86
2002 8 2002.625 371.77
2002 9 2002.708 370.73
2002 10 2002.792 370.5
2002 11 2002.875 372.19
2002 12 2002.958 373.7
2003 1 2003.042 374.92
2003 2 2003.125 375.62
2003 3 2003.208 376.51
2003 4 2003.292 377.75
2003 5 2003.375 378.54
2003 6 2003.458 378.2
2003 7 2003.542 376.68
2003 8 2003.625 374.43
2003 9 2003.708 373.11
2003 10 2003.792 373.1
2003 11 2003.875 374.77
2003 12 2003.958 375.97
2004 1 2004.042 377.03
2004 2 2004.125 377.87
2004 3 2004.208 378.88
2004 4 2004.292 380.42
2004 5 2004.375 380.62
2004 6 2004.458 379.71
2004 7 2004.542 377.43
2004 8 2004.625 376.32
2004 9 2004.708 374.19
2004 10 2004.792 374.47
2004 11 2004.875 376.15
2004 12 2004.958 377.51
2005 1 2005.042 378.43
2005 2 2005.125 379.7
2005 3 2005.208 380.92
2005 4 2005.292 382.18
2005 5 2005.375 382.45
2005 6 2005.458 382.14
2005 7 2005.542 380.6
2005 8 2005.625 378.64
2005 9 2005.708 376.73
2005 10 2005.792 376.84
2005 11 2005.875 378.29
2005 12 2005.958 380.06
2006 1 2006.042 381.4
2006 2 2006.125 382.2
2006 3 2006.208 382.66
2006 4 2006.292 384.69
2006 5 2006.375 384.94
2006 6 2006.458 384.01
2006 7 2006.542 382.14
2006 8 2006.625 380.31
2006 9 2006.708 378.81
2006 10 2006.792 379.03
2006 11 2006.875 380.17
2006 12 2006.958 381.85
2007 1 2007.042 382.94
2007 2 2007.125 383.86
2007 3 2007.208 384.49
2007 4 2007.292 386.37
2007 5 2007.375 386.54
2007 6 2007.458 385.98
2007 7 2007.542 384.35
2007 8 2007.625 381.85
2007 9 2007.708 380.74
2007 10 2007.792 381.15
2007 11 2007.875 382.38
2007 12 2007.958 383.94
2008 1 2008.042 385.35
2008 2 2008.125 385.7
2008 3 2008.208 385.92
2008 4 2008.292 387.21
2008 5 2008.375 388.48
2008 6 2008.458 387.99
2008 7 2008.542 384.93
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Mike Bryant
August 4, 2008 8:35 pm

“Concerning ocean cooling and stagnant sea level, this has to translate into an increase in the earth’s rotational speed.” “Concerning ocean cooling and stagnant sea level, this has to translate into an increase in the earth’s rotational speed.”
That’s great like we need the days to pass any faster.

Steve Keohane
August 4, 2008 8:50 pm

Bob Tisdale, Is it just late or does the chart that shows CO2 does correlate with NINO3.4 SST anomalies also show that CO2 change follows temp. change? It looks so to me.

Editor
August 4, 2008 8:51 pm

Dee Norris (18:26:45) :

LOL… The July CO2 was just adjusted upwards! It is now 385.60.

Urch!?
I hereby retract a comment I made this morning:

Give them credit for adjustment rules that don’t affect the entire history ala GISS.

I think I’ll go count sunspots. I might be able to come up with a number everyone can agree with.

Leon Brozyna
August 4, 2008 9:21 pm

James Hansen as Dr. Robert Stadler?
Pity the Angelina Jolie (Dagny Taggart) movie (Atlas Shrugged) has no room for him; could keep the boy busy and not out getting into mischief.

Kim Mackey
August 4, 2008 9:26 pm

I just took this off the Mauna Loa site at 12:15 am Tuesday August 5th. It is still the Sunday August 3rd data. Where is the new, adjusted data posted?
2008 5 2008.375 388.48 388.48 385.33
2008 6 2008.458 387.99 387.99 385.76
2008 7 2008.542 384.93 384.93 384.54
ftp://ftp.cmdl.noaa.gov/ccg/co2/trends/co2_mm_mlo.txt

Kim Mackey
August 4, 2008 9:33 pm

I just took another look at the Mauna Loa site and the graph has clearly been changed to match the “new” data, while the montly data at the ftp site is still the “old” data. This is as of 12:33 am Tuesday August 5th. Can anyone explain what is going on?
REPLY: see new post on main page of the blog – Anthony

August 4, 2008 10:26 pm

[…] CO2 January to July Trend Goes Negative First Time in History Jump to Comments Thanks to this report today, we have some good news for […]

Evan Jones
Editor
August 4, 2008 10:50 pm

James Hansen as Dr. Robert Stadler?
Heh!
(Stadler was Einstein, of course.)
There are other parallels one might draw, of course . . .

Philip_B
August 4, 2008 10:51 pm

Dave Gresh, when CO2 dissolves in water it forms a weak acid – carbonic acid. More CO2 in the atmosphere results in more dissolved in water and the oceans and hence ‘acidification’.
While the term acidification is technically correct for the process, it leads people to think the oceans are getting more acidic, which isn’t true. Oceans are alkaline and increases in CO2 and hence carbonic acid results in the oceans getting a little less alkaline, but still a long way from being acidic.
It’s a bit more complex than that when you consider ocean temperatures. Warmer temperatures cause less dissolved CO2/carbonic acid and more alkaline ocean.
As with temperatures and CO2, it’s far from clear that more CO2 AND warmer temperatures result in ocean acidification. The claimed effect to date is tiny and isn’t based on actual measurements (despite what wikipedia says).

crosspatch
August 4, 2008 11:33 pm

“How exactly does rising CO2 levels in the atmosphere lead to greater oceanic acidification?”
When CO2 dissolves in water it forms carbonic acid.
“This would seem to be a negative effect of higher CO2 levels even though land-based plants benefit.”
Why would it be a negative? How do you know that? Most sea animals evolved when CO2 was much higher than it is now. Corals, for example, evolved when there was about 7000ppm CO2 in the atmosphere compared to less than 400ppm now. The CO2 levels we are talking about now were seen before relatively recently in the geological past and the seas were teaming with life.
“The AGW crowd is always harping on the acidification of the oceans angle”
Yup, they grab for any lever they can find to scare people into adopting their agenda with absolutely no proof whatsoever that it will hurt a thing. People hear “acidic” and think battery acid or something. That is why they say it, to scare people into adopting their agenda. And then when you ask for proof, they hand you some computer model that someone made up in a lab. Well, I can probably model a perpetual motion weapon that scares away three-headed dinosaurs but that doesn’t mean it will ever come to pass.
Ask them to show you proof that there was any negative impact to sea life when the atmospheric CO2 levels were double today’s levels in the past. Their answer is generally along the lines of asking for proof that increased CO2 won’t do harm. But it is impossible to prove a negative. You can’t prove that something can’t happen, you can only prove what does happen. The answer to their question is in the geological record.

August 4, 2008 11:41 pm

[…] Loa CO2 graph changes, data doesn’t 4 08 2008 Less than 24 hours after I published my story on the January to July trend reversal of CO2 at Mauna Loa, the monthly mean graph that is displayed on the NOAA web page for Mauna Loa Observatory has […]

August 5, 2008 2:12 am

Josh,
Nice work… Glad it’s WFT has been useful for you. The temperature/CO2 relationship was one of the first things I used it for myself – see one of the examples:
http://www.woodfortrees.org/plot/esrl-co2/isolate:60/mean:12/scale:0.2/plot/hadcrut3vgl/isolate:60/mean:12/from:1958
You can do the same thing with FFT:
http://www.woodfortrees.org/plot/esrl-co2/detrend:70/fourier/high-pass:10/low-pass:25/inverse-fourier/scale:0.2/plot/hadcrut3vgl/from:1958/fourier/high-pass:10/low-pass:25/inverse-fourier
But please note – both in this and yours – that the magnitude of the temperature-related change is pretty tiny compared to the overall increase and even the annual variation. This is evidence of a positive feedback, but it’s a weak one.
I posted some more thoughts about this back in June:
http://wattsupwiththat.wordpress.com/2008/06/20/warming-on-11-year-hiatus/#comment-20296
Dee: I got your mail, sorry I’ve been a bit busy with my Real Job lately, and I can’t promise to add anything new in the short term.

August 5, 2008 3:31 am

Gresh
Check out this post and especially the last few comments for a good summation on Acidification.
http://www.jennifermarohasy.com/blog/archives/003220.html
It would seem that once again the AWGers’ science (this time on Ocean Acidification) is sloppy.

Demesure
August 5, 2008 3:45 am

My model states that it’s very likely the response of Peter Tans to big oil shills who dare to question the “adjustments” would be “piss off” (some simulations lead to “likely” outcomes like the-dog-ate-my-last-month-files and have been rejected by the BS Kalman filter).
Trust my model, yesterday, it correctly predicted some CO2 revisionism “adjustments”.

Richard S Courtney
August 5, 2008 3:57 am

I provide these comments in hope of producing clarity and interest.
Atmospheric carbon dioxide (CO2) concentration changes are observed to follow global temperature changes at all time scales. But the CO2 and the temperature do not correlate. And people often confuse coherence and correlation.
Coherence indicates that when one thing changes the other also changes (i.e. in this case each time that temperature rises then the atmospheric CO2 increases later, and each time that global temperature falls then the atmospheric CO2 reduces later).
Correlation indicates that there is a statistical relationship between parameters (i.e. in this case a concentration of CO2 would indicate a global temperature according to the AGW hypothesis).
There are several time scales that can be considered for assessment of coherence. At millennial time scales the CO2 changes follow temperature changes by ~800 years (as is indicated by the Vostock ice cores).
Annual and monthly time scales are mentioned in postings of this discussion. Since 1990 it has been known that changes to atmospheric CO2 concentration follow changes to mean global temperature by months (the original study was Kuo, Lindberg & Thompson, Nature (1990)) and several other studies have since confirmed this (e.g. Callendar, Nature (1992)).
The finding that global temperature and atmospheric CO2 concentration cohere such that atmospheric CO2 concentration follows temperature by months indicates
(a) that a change to the temperature induces a change to the CO2
or
(b) that changes to the temperature and CO2 are both induced by some other (unknown) parameter.
But global temperature and atmospheric CO2 concentration do not correlate and, therefore, the level of one is not determinate of the level of the other.
Many things cohere but do not correlate. For example, leaves fall off trees soon after school children end their summer break each year. This is clear coherence. But the number of leaves that fall does not correlate to the number of school children who return to school.
Coherence with absence of correlation is very suggestive of causation by some other (unknown) parameter. In the case of the children and the leaves, the time of year is the causative ‘other parameter’.
The decadal time scale is not considered in the above discussion (although it is mentioned with reference to Beck’s data). In our 2005 paper
(ref Rorsch A, Courtney RS & Thoenes D, ‘The Interaction of Climate Change and the Carbon Dioxide Cycle’ E&E v16no2 (2005)).
I presented information from that paper at the Heartland Institute climate conference in New York, and an audio recording of that presentation can be found at the following URL as follows:
http://www.heartland.org/NewYork08/audio.cfm
At the above URL scroll down to Tuesday 4 March, Session 8.45 – 10.15 am, Track 2 then clicking on Audio below my name. Also, my responses to questions can be heard by clicking on Audio after “Panel Q&A” at the bottom of that Session.
I said then conclusions from our qualitative analysis of the carbon cycle (that induced our model studies) included:
“The above qualitative considerations suggest the carbon cycle cannot be very sensitive to relatively small disturbances such as the present anthropogenic emissions of CO2. However, the system could be quite sensitive to temperature. So, our paper considered how the carbon cycle would be disturbed if – for some reason – the temperature of the atmosphere were to rise, as it almost certainly did between 1880 and 1940.”
and
“In the light of all the above considerations it would appear that the relatively large increase of CO2 concentration in the atmosphere in the twentieth century (some 30%) is likely to have been caused by the increased mean temperature that preceded it. The main cause may be desorption from the oceans. The observed time lag of half a century is not surprising. Assessment of this conclusion requires a quantitative model of the carbon cycle, but – as previously explained – such a model cannot be constructed because the rate constants are not known for mechanisms operating in the carbon cycle.”
A valid criticism of this conclusion is that – if the conclusion is correct – then it suggests the fall in global temperature from ~1940 to 1970 should induce a fall in atmospheric CO2 concentration in the coming decade. The conclusion would be disproved if such a fall were not to occur.
‘One swallow does not make a Spring’ and the single data point that has caused this discussion may be an aberration. However, I think everybody will understand that I eagerly await future data to observe if this is – or is not – the start of a trend reversal in atmospheric CO2 concentration.
Richard S Courtney

Dave Gresh
August 5, 2008 5:44 am

Crosspatch,
Thanks for the info. A recent Nat. Geographic special ‘Earth – The History’ detailed the imminent death of the world’s coral reafs due to higher acidic levels. I’ve been watching this very well produced special, but without exception there’s always part of each hour that is dedicated to some global warming fear.

August 5, 2008 7:25 am

@Paul:
It’s fairly easy to correlate ocean temp to the annual CO2 variation derivative, using (inverse) southern sea ice as a proxy:
http://www.woodfortrees.org/plot/nsidc-seaice-s/from:1978/to:1983/offset:-12/scale:-1.3/mean:3/plot/esrl-co2/from:1978/to:1983/mean:3/derivative/scale:5
(and of course this also coincides with the NH growing season, so you can’t say either necessarily dominates)
@anybody:
Is there a commonly-accepted explanation for the truncated peaks of the CO2 derivative?

FatBigot
August 5, 2008 9:01 am

Many thanks to Mr Courtney (03:57:43). As the old saying goes I am none the wiser, but much better informed.

August 5, 2008 9:08 am

Steve Keohane: The monthly change in CO2 does follow NINO3.4. Your eyes weren’t playing tricks.

August 5, 2008 1:16 pm

I believe that inspecting monthly CO2 data will give us no reliable information on the upcoming CO2 drop down.
In my presentation held at Bayreuth I have presented new data out of my historical CO2 data base concerning precise CO2 measurements on the Atlantic ocean (southern and northern since 1925 -1936 inclusive detailed investigation of the oceanographic parameters at that time ( temperature, salinity, pH, CO2 etc.)
http://www.biokurs.de/treibhaus/180CO2/bayreuth/Summary-bayreuth.pdf
http://www.biokurs.de/treibhaus/180CO2/bayreuth/bayreuth1e.htm
Result: the Atlantic ocean was in a very similar state as today. The Arctic warming at that times was stronger than today showing 4 °C since 1918 to 1936 (60-80N) in average.
Polyakov in 2004
POLYAKOV, I. V. et al. Variability of the Intermediate Atlantic Water of the Arctic Ocean over the Last 100 Years, J O U R N A L O F C L I M A T E, VOL. 17, NO. 23, 2004
http://www.frontier.iarc.uaf.edu/~igor/research/pdf/polyakov.etal.2004.pdf
brought evidence for a approx. 65 years (50-80) cycle of ocean currents ( and climate) with warm phases during the 20s and 30s (20th century) and today.
My data show clearly that the high CO2 at that times (20s/30s) came from the atlantic ocean, especially from the area Greeland/Iceland/Spitsbergen. This is one of two global netto CO2 absorption areas. Mauna Loa lies near the pacific netto CO2 outgassing area. Therefore the going down of the CO2 curve will be seen later than at measuring sites more northern.
The arctic warming in the 20s and 30s (20th century) was most extreme during winter times at Spitsbergen with >12°C heating (1918-1936). This has led to >364 ppm CO2 over sea surface at Spitsbergen in 1936 and the CO2 came from the sea showing for 1°C air temperature 25,25 ppm CO2 have degassed.
The consequence is clear: the cause of high CO2 ist the sea in the 20s/302 and today by a strong heating of the CO2 absorption area in the polar sea. This hold more CO2 in the atmosphere. In the cold phases of this ocean current/climate cycle (~1900 and ~1965) more CO2 had been absorbed in the colder ocean.
So my conclusion is: we have 65 year climate cycle (50-80 years according to Polyakov) showing warm ocean currents, high temperature and high CO2 in the warmer phase (1920-1940 and today) and cold ocean currents/temperature/ CO2 during its colder phase.
CO2 lags temperature within a short time (<5 years according to my historical data) and we will see a CO2 dropping soon.
As turned out in the Wilson paper the NAO and PDO clearly show the influence of the oceans .
The ~800 years phase lag CO2/ Temperature ( as Richard Courtney mentioned) is the result of the erroneous methods in ice core analysis. Oceans react slowly but within years not centuries.
Ernst Beck

August 6, 2008 3:09 pm

Mike Bryant, SteveK, Evan, thanks, my stupid not looking at the top of the blog before I wrote!
More interesting and excellent posts here … thank you everyone…

August 19, 2008 12:41 am

“If we drink good water, we can remove all of diseases over %80 (WHO)”. Alkaline water can sucsess this. Alkaline water flushes acidic metabolites and toxins from cellular level. Supplies health sustaining minerals such as Ca, K, Mg, Na to the body. Contains smaller water clusters (51KHz) that hydrates the body up to 3 times more effective than normal water. Facilitate nutrients and mineral absorptions efficiently. Promotes general well-bing by restoring the body.

October 9, 2008 5:34 pm

Does anybody know why ESRL-NOAA has yet to post the September CO2 reading at Mauna Loa?

January 11, 2009 11:02 am

[…] this is real, a data error, or something else remains to be seen.  As we’ve learned previously, the Mauna Loa record is not infallible and can be adjusted post facto. To MLO’s credit, they […]

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