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Global Contributions of Incoming Radiation and Land Surface Conditions to Maximum Near‐Surface Air Temperature Variability and Trend
- Source :
- Geophysical Research Letters
- Publication Year :
- 2018
- Publisher :
- John Wiley and Sons Inc., 2018.
-
Abstract
- The evolution of near‐surface air temperature is influenced by various dynamical, radiative, and surface‐atmosphere exchange processes whose contributions are still not completely quantified. Applying stepwise multiple linear regression to Coupled Model Intercomparison Project phase 5 (CMIP5) model simulations and focusing on radiation (diagnosed by incoming shortwave and incoming longwave radiation) and land surface conditions (diagnosed by soil moisture and albedo) about 79% of the interannual variability and 99% of the multidecadal trend of monthly mean daily maximum temperature over land can be explained. The linear model captures well the temperature variability in middle‐to‐high latitudes and in regions close to the equator, whereas its explanatory potential is limited in deserts. While radiation is an essential explanatory variable over almost all of the analyzed domain, land surface conditions show a pronounced relation to temperature in some confined regions. These findings highlight that considering local‐to‐regional processes is crucial for correctly assessing interannual temperature variability and future temperature trends.<br />Key Points The used linear regression model explains about 79% of interannual temperature variability and 99% of multidecadal temperature trendRadiation explains on average about 75% to 85% of the total explained variance, while land surface conditions contribute about 15% to 25%Radiation is essential for explaining temperature variability almost everywhere, land surface conditions in some confined regions
- Subjects :
- Global Climate Models
Climate
Decadal Ocean Variability
Land/Atmosphere Interactions
Paleoceanography
Oceans
Research Letter
temperature variability
Geodesy and Gravity
Global Change
Climate Change and Variability
Climatology
Climate Variability
Climate and Interannual Variability
Energy Budgets
Research Letters
radiation
Oceanography: General
Mass Balance
temperature trend
Atmospheric Processes
linear regression
Hydrology
soil moisture
Atmospheric
Natural Hazards
Oceanography: Physical
albedo
Subjects
Details
- Language :
- English
- ISSN :
- 19448007 and 00948276
- Volume :
- 45
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Geophysical Research Letters
- Accession number :
- edsair.pmid..........b46e7fa09013db2e917ca86821a989f8