Unresolved issues with the assessment of multidecadal global land surface temperature trends

  • Roger A. Pielke
    University of Colorado, CIRES/ATOC Boulder Colorado USA
  • Christopher A. Davey
    Desert Research Institute Reno Nevada USA
  • Dev Niyogi
    Department of Earth and Atmospheric Sciences Purdue University West Lafayette Indiana USA
  • Souleymane Fall
    Department of Agronomy Purdue University West Lafayette Indiana USA
  • Jesse Steinweg‐Woods
    Department of Earth and Atmospheric Sciences Purdue University West Lafayette Indiana USA
  • Ken Hubbard
    School of Natural Resources University of Nebraska‐Lincoln Lincoln Nebraska USA
  • Xiaomao Lin
    School of Natural Resources University of Nebraska‐Lincoln Lincoln Nebraska USA
  • Ming Cai
    Department of Meteorology Florida State University Tallahassee Florida USA
  • Young‐Kwon Lim
    Center for Ocean‐Atmospheric Prediction Studies Florida State University Tallahassee Florida USA
  • Hong Li
    Department of Atmospheric and Oceanic Science University of Maryland College Park Maryland USA
  • John Nielsen‐Gammon
    Department of Atmospheric Sciences Texas A&M University College Station Texas USA
  • Kevin Gallo
    Center for Satellite Applications and Research (STAR), National Environmental Satellite, Data, and Information Service (NESDIS), NOAA Camp Springs Maryland USA
  • Robert Hale
    CIRA Colorado State University Fort Collins Colorado USA
  • Rezaul Mahmood
    Department of Geography and Geology Western Kentucky University Bowling Green Kentucky USA
  • Stuart Foster
    Department of Geography and Geology Western Kentucky University Bowling Green Kentucky USA
  • Richard T. McNider
    Department of Atmospheric Science University of Alabama in Huntsville Huntsville Alabama USA
  • Peter Blanken
    Department of Geography and Environmental Studies University of Colorado Boulder Colorado USA

説明

<jats:p>This paper documents various unresolved issues in using surface temperature trends as a metric for assessing global and regional climate change. A series of examples ranging from errors caused by temperature measurements at a monitoring station to the undocumented biases in the regionally and globally averaged time series are provided. The issues are poorly understood or documented and relate to micrometeorological impacts due to warm bias in nighttime minimum temperatures, poor siting of the instrumentation, effect of winds as well as surface atmospheric water vapor content on temperature trends, the quantification of uncertainties in the homogenization of surface temperature data, and the influence of land use/land cover (LULC) change on surface temperature trends. Because of the issues presented in this paper related to the analysis of multidecadal surface temperature we recommend that greater, more complete documentation and quantification of these issues be required for all observation stations that are intended to be used in such assessments. This is necessary for confidence in the actual observations of surface temperature variability and long‐term trends.</jats:p>

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