CO2 seasonal variation and global change: test global warming from another point of view

XiuMing Liu, JiaSheng Chen

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    CO2 and temperature records at Mauna Loa, Hawaii, and other observation stations show that the correlation between CO2 and temperature is not significant. These stations are located away from big cities, and in various latitudes and hemispheres. But the correlation is significant in global mean data. Over the last five decades, CO2 has grown at an accelerating rate with no corresponding rise in temperature in the stations. This discrepancy indicates that CO2 probably is not the driving force of temperature change globally but only locally (mainly in big cities). We suggest that the Earth's atmospheric concentration of CO2 is too low to drive global temperature change. Our empirical perception of the global warming record is due to the urban heat island effect: temperature rises in areas with rising population density and rising industrial activity. This effect mainly occurs in the areas with high population and intense human activities, and is not representative of global warming. Regions far from cities, such as the Mauna Loa highland, show no evident warming trend. The global monthly mean temperature calculated by record data, widely used by academic researchers, shows R2=0.765, a high degree of correlation with CO2. However, the R2 shows much less significance (mean R2=0.024) if calculated by each record for 188 selected stations over the world. This test suggests that the inflated high correlation between CO2 and temperature (mean R2=0.765-0.024=0.741) used in reports from the Intergovernmental Panel on Climate Change (IPCC) was very likely produced during data correction and processing. This untrue global monthly mean temperature has created a picture: human emission drives global warming.

    LanguageEnglish
    Pages46-53
    Number of pages8
    JournalSciences in cold and arid regions
    Volume9
    Issue number1
    DOIs
    Publication statusPublished - Feb 2017

    Keywords

    • CO2
    • Mauna Loa
    • Hawaii
    • seasonal variations
    • greenhouse effect
    • global warming
    • TEMPERATURE

    Cite this

    @article{27ed99f9022645938e87099f3b3f6065,
    title = "CO2 seasonal variation and global change: test global warming from another point of view",
    abstract = "CO2 and temperature records at Mauna Loa, Hawaii, and other observation stations show that the correlation between CO2 and temperature is not significant. These stations are located away from big cities, and in various latitudes and hemispheres. But the correlation is significant in global mean data. Over the last five decades, CO2 has grown at an accelerating rate with no corresponding rise in temperature in the stations. This discrepancy indicates that CO2 probably is not the driving force of temperature change globally but only locally (mainly in big cities). We suggest that the Earth's atmospheric concentration of CO2 is too low to drive global temperature change. Our empirical perception of the global warming record is due to the urban heat island effect: temperature rises in areas with rising population density and rising industrial activity. This effect mainly occurs in the areas with high population and intense human activities, and is not representative of global warming. Regions far from cities, such as the Mauna Loa highland, show no evident warming trend. The global monthly mean temperature calculated by record data, widely used by academic researchers, shows R2=0.765, a high degree of correlation with CO2. However, the R2 shows much less significance (mean R2=0.024) if calculated by each record for 188 selected stations over the world. This test suggests that the inflated high correlation between CO2 and temperature (mean R2=0.765-0.024=0.741) used in reports from the Intergovernmental Panel on Climate Change (IPCC) was very likely produced during data correction and processing. This untrue global monthly mean temperature has created a picture: human emission drives global warming.",
    keywords = "CO2, Mauna Loa, Hawaii, seasonal variations, greenhouse effect, global warming, TEMPERATURE",
    author = "XiuMing Liu and JiaSheng Chen",
    year = "2017",
    month = "2",
    doi = "10.3724/SP.J.1226.2017.00046",
    language = "English",
    volume = "9",
    pages = "46--53",
    journal = "Sciences in cold and arid regions",
    issn = "1674-3822",
    publisher = "Science Press",
    number = "1",

    }

    CO2 seasonal variation and global change : test global warming from another point of view. / Liu, XiuMing; Chen, JiaSheng.

    In: Sciences in cold and arid regions, Vol. 9, No. 1, 02.2017, p. 46-53.

    Research output: Contribution to journalArticleResearchpeer-review

    TY - JOUR

    T1 - CO2 seasonal variation and global change

    T2 - Sciences in cold and arid regions

    AU - Liu, XiuMing

    AU - Chen, JiaSheng

    PY - 2017/2

    Y1 - 2017/2

    N2 - CO2 and temperature records at Mauna Loa, Hawaii, and other observation stations show that the correlation between CO2 and temperature is not significant. These stations are located away from big cities, and in various latitudes and hemispheres. But the correlation is significant in global mean data. Over the last five decades, CO2 has grown at an accelerating rate with no corresponding rise in temperature in the stations. This discrepancy indicates that CO2 probably is not the driving force of temperature change globally but only locally (mainly in big cities). We suggest that the Earth's atmospheric concentration of CO2 is too low to drive global temperature change. Our empirical perception of the global warming record is due to the urban heat island effect: temperature rises in areas with rising population density and rising industrial activity. This effect mainly occurs in the areas with high population and intense human activities, and is not representative of global warming. Regions far from cities, such as the Mauna Loa highland, show no evident warming trend. The global monthly mean temperature calculated by record data, widely used by academic researchers, shows R2=0.765, a high degree of correlation with CO2. However, the R2 shows much less significance (mean R2=0.024) if calculated by each record for 188 selected stations over the world. This test suggests that the inflated high correlation between CO2 and temperature (mean R2=0.765-0.024=0.741) used in reports from the Intergovernmental Panel on Climate Change (IPCC) was very likely produced during data correction and processing. This untrue global monthly mean temperature has created a picture: human emission drives global warming.

    AB - CO2 and temperature records at Mauna Loa, Hawaii, and other observation stations show that the correlation between CO2 and temperature is not significant. These stations are located away from big cities, and in various latitudes and hemispheres. But the correlation is significant in global mean data. Over the last five decades, CO2 has grown at an accelerating rate with no corresponding rise in temperature in the stations. This discrepancy indicates that CO2 probably is not the driving force of temperature change globally but only locally (mainly in big cities). We suggest that the Earth's atmospheric concentration of CO2 is too low to drive global temperature change. Our empirical perception of the global warming record is due to the urban heat island effect: temperature rises in areas with rising population density and rising industrial activity. This effect mainly occurs in the areas with high population and intense human activities, and is not representative of global warming. Regions far from cities, such as the Mauna Loa highland, show no evident warming trend. The global monthly mean temperature calculated by record data, widely used by academic researchers, shows R2=0.765, a high degree of correlation with CO2. However, the R2 shows much less significance (mean R2=0.024) if calculated by each record for 188 selected stations over the world. This test suggests that the inflated high correlation between CO2 and temperature (mean R2=0.765-0.024=0.741) used in reports from the Intergovernmental Panel on Climate Change (IPCC) was very likely produced during data correction and processing. This untrue global monthly mean temperature has created a picture: human emission drives global warming.

    KW - CO2

    KW - Mauna Loa

    KW - Hawaii

    KW - seasonal variations

    KW - greenhouse effect

    KW - global warming

    KW - TEMPERATURE

    U2 - 10.3724/SP.J.1226.2017.00046

    DO - 10.3724/SP.J.1226.2017.00046

    M3 - Article

    VL - 9

    SP - 46

    EP - 53

    JO - Sciences in cold and arid regions

    JF - Sciences in cold and arid regions

    SN - 1674-3822

    IS - 1

    ER -