Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model
The Arctic has become generally a warmer place over the past decades leading to earlier snow melt, permafrost degradation and changing plant communities. Increases in precipitation and local evaporation in the Arctic, known as the acceleration components of the hydrologic cycle, coupled with land co...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-03-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/21/1339/2017/hess-21-1339-2017.pdf |
| _version_ | 1819207258546896896 |
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| author | J. Cristóbal A. Prakash M. C. Anderson W. P. Kustas E. S. Euskirchen D. L. Kane |
| author_facet | J. Cristóbal A. Prakash M. C. Anderson W. P. Kustas E. S. Euskirchen D. L. Kane |
| author_sort | J. Cristóbal |
| collection | DOAJ |
| description | The Arctic has become generally a warmer place over the
past decades leading to earlier snow melt, permafrost degradation and
changing plant communities. Increases in precipitation and local evaporation
in the Arctic, known as the acceleration components of the hydrologic cycle,
coupled with land cover changes, have resulted in significant changes in the
regional surface energy budget. Quantifying spatiotemporal trends in surface
energy flux partitioning is key to forecasting ecological responses to
changing climate conditions in the Arctic. An extensive local evaluation of
the Two-Source Energy Balance model (TSEB) – a remote-sensing-based model
using thermal infrared retrievals of land surface temperature – was
performed using tower measurements collected over different tundra types in
Alaska in all sky conditions over the full growing season from 2008 to 2012.
Based on comparisons with flux tower observations, refinements in the
original TSEB net radiation, soil heat flux and canopy transpiration
parameterizations were identified for Arctic tundra. In particular, a
revised method for estimating soil heat flux based on relationships with
soil temperature was developed, resulting in significantly improved
performance. These refinements result in mean turbulent flux errors
generally less than 50 W m<sup>−2</sup> at half-hourly time steps,
similar to errors typically reported in surface energy balance modeling
studies conducted in more temperate climatic regimes. The MODIS leaf area
index (LAI) remote sensing product proved to be useful for estimating energy
fluxes in Arctic tundra in the absence of field data on the local biomass
amount. Model refinements found in this work at the local scale build toward
a regional implementation of the TSEB model over Arctic tundra ecosystems,
using thermal satellite remote sensing to assess response of surface fluxes
to changing vegetation and climate conditions. |
| first_indexed | 2024-12-23T05:20:38Z |
| format | Article |
| id | doaj.art-aaa09626b9584d7dae075f8dd96ee3d1 |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-23T05:20:38Z |
| publishDate | 2017-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-aaa09626b9584d7dae075f8dd96ee3d12022-12-21T17:58:43ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382017-03-012131339135810.5194/hess-21-1339-2017Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance modelJ. Cristóbal0A. Prakash1M. C. Anderson2W. P. Kustas3E. S. Euskirchen4D. L. Kane5Geophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska 99775, USAGeophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska 99775, USAHydrology and Remote Sensing Laboratory, United States Department of Agriculture, Agriculture Research Service, Beltsville, Maryland 20705, USAHydrology and Remote Sensing Laboratory, United States Department of Agriculture, Agriculture Research Service, Beltsville, Maryland 20705, USAInstitute of Arctic Biology. University of Alaska Fairbanks, Fairbanks, Alaska 99775, USAInstitute of Northern Engineering, Water Environmental Research Center, University of Alaska Fairbanks, Fairbanks, Alaska 99775, USAThe Arctic has become generally a warmer place over the past decades leading to earlier snow melt, permafrost degradation and changing plant communities. Increases in precipitation and local evaporation in the Arctic, known as the acceleration components of the hydrologic cycle, coupled with land cover changes, have resulted in significant changes in the regional surface energy budget. Quantifying spatiotemporal trends in surface energy flux partitioning is key to forecasting ecological responses to changing climate conditions in the Arctic. An extensive local evaluation of the Two-Source Energy Balance model (TSEB) – a remote-sensing-based model using thermal infrared retrievals of land surface temperature – was performed using tower measurements collected over different tundra types in Alaska in all sky conditions over the full growing season from 2008 to 2012. Based on comparisons with flux tower observations, refinements in the original TSEB net radiation, soil heat flux and canopy transpiration parameterizations were identified for Arctic tundra. In particular, a revised method for estimating soil heat flux based on relationships with soil temperature was developed, resulting in significantly improved performance. These refinements result in mean turbulent flux errors generally less than 50 W m<sup>−2</sup> at half-hourly time steps, similar to errors typically reported in surface energy balance modeling studies conducted in more temperate climatic regimes. The MODIS leaf area index (LAI) remote sensing product proved to be useful for estimating energy fluxes in Arctic tundra in the absence of field data on the local biomass amount. Model refinements found in this work at the local scale build toward a regional implementation of the TSEB model over Arctic tundra ecosystems, using thermal satellite remote sensing to assess response of surface fluxes to changing vegetation and climate conditions.http://www.hydrol-earth-syst-sci.net/21/1339/2017/hess-21-1339-2017.pdf |
| spellingShingle | J. Cristóbal A. Prakash M. C. Anderson W. P. Kustas E. S. Euskirchen D. L. Kane Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model Hydrology and Earth System Sciences |
| title | Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model |
| title_full | Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model |
| title_fullStr | Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model |
| title_full_unstemmed | Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model |
| title_short | Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model |
| title_sort | estimation of surface energy fluxes in the arctic tundra using the remote sensing thermal based two source energy balance model |
| url | http://www.hydrol-earth-syst-sci.net/21/1339/2017/hess-21-1339-2017.pdf |
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