Abstract
Measurements that link surface conditions and climate can provide critical information on important biospheric changes occurring in the Earth system. As the direct driving force of energy and water fluxes at the surface-atmosphere interface, land surface temperature (LST) provides information on physical processes of land-cover change and energy-balance changes that air temperature cannot provide. Annual maximum LST (LSTmax) is especially powerful at minimizing synoptic and seasonal variability and highlighting changes associated with extreme climatic events and significant land-cover changes. The authors investigate whether maximum thermal anomalies from satellite observations could detect heat waves and droughts, a melting cryosphere, and disturbances in the tropical forest from 2003 to 2014. The 1-km2 LSTmax anomalies peaked in 2010 when 20% of the global land area experienced anomalies of greater than 1 standard deviation and over 4% of the global land area was subject to positive anomalies exceeding 2 standard deviations. Positive LSTmax anomalies display complex spatial patterns associated with heat waves and droughts across the global land area. The findings presented herein show that entire biomes are experiencing shifts in their LSTmax distributions driven by extreme climatic events and large-scale land surface changes, such as melting of ice sheets, severe droughts, and the incremental effects of forest loss in tropical forests. As climate warming and land-cover changes continue, it is likely that Earth's maximum surface temperatures will experience greater and more frequent directional shifts, increasing the possibility that critical thresholds in Earth's ecosystems and climate system will be surpassed, resulting in profound and irreversible changes.
| Original language | English |
|---|---|
| Pages (from-to) | 391-411 |
| Number of pages | 21 |
| Journal | Journal of Applied Meteorology and Climatology |
| Volume | 57 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1 2018 |
Funding
Acknowledgments. This study was supported by the U.S. Department of Agriculture Forest Service Pacific Northwest Research Station and Oregon State University. Author DM designed the study with the help of authors MZ and SR. Author DM analyzed data, interpreted results, and wrote the manuscript, with authors MZ and WC helping with the writing. Authors MZ and XS processed data. All authors contributed to interpreting the results and refining the manuscript. The authors declare that they have no competing interests. All data needed to evaluate the conclusions in the paper are present in the paper. Additional data related to this paper may be requested from the authors. MODIS data used in this work are available from the Land Processes Distributed Active Archive Center (https://lpdaac.usgs. gov/dataset_discovery/modis/modis_products_table).
| Funders |
|---|
| Oregon State University |
Keywords
- Extreme events
- Land surface
- Remote sensing
- Surface temperature