Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012

A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat...
Ausführliche Beschreibung

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Autor*in:	Han, Cunbo [verfasserIn] Ma, Yaoming Chen, Xuelong Su, Zhongbo

Format:	Artikel
Sprache:	Englisch

Erschienen:	2017

Rechteinformationen:	Nutzungsrecht: © 2017 Royal Meteorological Society

Schlagwörter:	effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization

Systematik:	RA 1000

Übergeordnetes Werk:	Enthalten in: International journal of climatology - Chichester [u.a.] : Wiley, 1989, 37(2017), 14, Seite 4757-4767
Übergeordnetes Werk:	volume:37 ; year:2017 ; number:14 ; pages:4757-4767

Links:	Volltext Link aufrufen Link aufrufen

DOI / URN:	10.1002/joc.5119

Katalog-ID:	OLC1997651777

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520			\|a A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient.
540			\|a Nutzungsrecht: © 2017 Royal Meteorological Society
650		4	\|a effective roughness length
650		4	\|a SEBS
650		4	\|a land surface heat flux trend
650		4	\|a Tibetan Plateau
650		4	\|a Net radiation
650		4	\|a Roughness
650		4	\|a Sensible heat transfer
650		4	\|a Glaciers
650		4	\|a Remote sensing
650		4	\|a Parameterization
650		4	\|a Latent heat
650		4	\|a Air temperature
650		4	\|a Greening
650		4	\|a Surface properties
650		4	\|a Radiation
650		4	\|a Plateaux
650		4	\|a Sensible heat flux
650		4	\|a Sensible heat
650		4	\|a Rivers
650		4	\|a Heat flux
650		4	\|a Enthalpy
650		4	\|a Temperature (air-sea)
650		4	\|a Roughness length
650		4	\|a Radiation balance
650		4	\|a Temperature
650		4	\|a Precipitation
650		4	\|a Temperature differences
650		4	\|a Radiation flux
650		4	\|a Heat transfer
650		4	\|a Surface energy
650		4	\|a Energy balance
650		4	\|a Heat
650		4	\|a Latent heat flux
650		4	\|a Trends
650		4	\|a Fluctuations
650		4	\|a Topsoil
650		4	\|a Fluxes
650		4	\|a Parametrization
700	1		\|a Ma, Yaoming \|4 oth
700	1		\|a Chen, Xuelong \|4 oth
700	1		\|a Su, Zhongbo \|4 oth
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allfields	10.1002/joc.5119 doi PQ20171228 (DE-627)OLC1997651777 (DE-599)GBVOLC1997651777 (PRQ)p1319-8dbd6fc647143b381ede679f3900461be98b714fb753eed562f6c8e8a2b658413 (KEY)0104704320170000037001404757trendsoflandsurfaceheatfluxesonthetibetanplateaufr DE-627 ger DE-627 rakwb eng 550 DE-600 RA 1000 AVZ rvk Han, Cunbo verfasserin aut Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient. Nutzungsrecht: © 2017 Royal Meteorological Society effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization Ma, Yaoming oth Chen, Xuelong oth Su, Zhongbo oth Enthalten in International journal of climatology Chichester [u.a.] : Wiley, 1989 37(2017), 14, Seite 4757-4767 (DE-627)130763128 (DE-600)1000947-4 (DE-576)023035773 0899-8418 nnns volume:37 year:2017 number:14 pages:4757-4767 http://dx.doi.org/10.1002/joc.5119 Volltext http://onlinelibrary.wiley.com/doi/10.1002/joc.5119/abstract https://search.proquest.com/docview/1958507024 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_4311 RA 1000 AR 37 2017 14 4757-4767
spelling	10.1002/joc.5119 doi PQ20171228 (DE-627)OLC1997651777 (DE-599)GBVOLC1997651777 (PRQ)p1319-8dbd6fc647143b381ede679f3900461be98b714fb753eed562f6c8e8a2b658413 (KEY)0104704320170000037001404757trendsoflandsurfaceheatfluxesonthetibetanplateaufr DE-627 ger DE-627 rakwb eng 550 DE-600 RA 1000 AVZ rvk Han, Cunbo verfasserin aut Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient. Nutzungsrecht: © 2017 Royal Meteorological Society effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization Ma, Yaoming oth Chen, Xuelong oth Su, Zhongbo oth Enthalten in International journal of climatology Chichester [u.a.] : Wiley, 1989 37(2017), 14, Seite 4757-4767 (DE-627)130763128 (DE-600)1000947-4 (DE-576)023035773 0899-8418 nnns volume:37 year:2017 number:14 pages:4757-4767 http://dx.doi.org/10.1002/joc.5119 Volltext http://onlinelibrary.wiley.com/doi/10.1002/joc.5119/abstract https://search.proquest.com/docview/1958507024 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_4311 RA 1000 AR 37 2017 14 4757-4767
allfields_unstemmed	10.1002/joc.5119 doi PQ20171228 (DE-627)OLC1997651777 (DE-599)GBVOLC1997651777 (PRQ)p1319-8dbd6fc647143b381ede679f3900461be98b714fb753eed562f6c8e8a2b658413 (KEY)0104704320170000037001404757trendsoflandsurfaceheatfluxesonthetibetanplateaufr DE-627 ger DE-627 rakwb eng 550 DE-600 RA 1000 AVZ rvk Han, Cunbo verfasserin aut Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient. Nutzungsrecht: © 2017 Royal Meteorological Society effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization Ma, Yaoming oth Chen, Xuelong oth Su, Zhongbo oth Enthalten in International journal of climatology Chichester [u.a.] : Wiley, 1989 37(2017), 14, Seite 4757-4767 (DE-627)130763128 (DE-600)1000947-4 (DE-576)023035773 0899-8418 nnns volume:37 year:2017 number:14 pages:4757-4767 http://dx.doi.org/10.1002/joc.5119 Volltext http://onlinelibrary.wiley.com/doi/10.1002/joc.5119/abstract https://search.proquest.com/docview/1958507024 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_4311 RA 1000 AR 37 2017 14 4757-4767
allfieldsGer	10.1002/joc.5119 doi PQ20171228 (DE-627)OLC1997651777 (DE-599)GBVOLC1997651777 (PRQ)p1319-8dbd6fc647143b381ede679f3900461be98b714fb753eed562f6c8e8a2b658413 (KEY)0104704320170000037001404757trendsoflandsurfaceheatfluxesonthetibetanplateaufr DE-627 ger DE-627 rakwb eng 550 DE-600 RA 1000 AVZ rvk Han, Cunbo verfasserin aut Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient. Nutzungsrecht: © 2017 Royal Meteorological Society effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization Ma, Yaoming oth Chen, Xuelong oth Su, Zhongbo oth Enthalten in International journal of climatology Chichester [u.a.] : Wiley, 1989 37(2017), 14, Seite 4757-4767 (DE-627)130763128 (DE-600)1000947-4 (DE-576)023035773 0899-8418 nnns volume:37 year:2017 number:14 pages:4757-4767 http://dx.doi.org/10.1002/joc.5119 Volltext http://onlinelibrary.wiley.com/doi/10.1002/joc.5119/abstract https://search.proquest.com/docview/1958507024 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_4311 RA 1000 AR 37 2017 14 4757-4767
allfieldsSound	10.1002/joc.5119 doi PQ20171228 (DE-627)OLC1997651777 (DE-599)GBVOLC1997651777 (PRQ)p1319-8dbd6fc647143b381ede679f3900461be98b714fb753eed562f6c8e8a2b658413 (KEY)0104704320170000037001404757trendsoflandsurfaceheatfluxesonthetibetanplateaufr DE-627 ger DE-627 rakwb eng 550 DE-600 RA 1000 AVZ rvk Han, Cunbo verfasserin aut Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient. Nutzungsrecht: © 2017 Royal Meteorological Society effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization Ma, Yaoming oth Chen, Xuelong oth Su, Zhongbo oth Enthalten in International journal of climatology Chichester [u.a.] : Wiley, 1989 37(2017), 14, Seite 4757-4767 (DE-627)130763128 (DE-600)1000947-4 (DE-576)023035773 0899-8418 nnns volume:37 year:2017 number:14 pages:4757-4767 http://dx.doi.org/10.1002/joc.5119 Volltext http://onlinelibrary.wiley.com/doi/10.1002/joc.5119/abstract https://search.proquest.com/docview/1958507024 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_22 GBV_ILN_4311 RA 1000 AR 37 2017 14 4757-4767
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topic_facet	effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization
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author	Han, Cunbo
spellingShingle	Han, Cunbo ddc 550 rvk RA 1000 misc effective roughness length misc SEBS misc land surface heat flux trend misc Tibetan Plateau misc Net radiation misc Roughness misc Sensible heat transfer misc Glaciers misc Remote sensing misc Parameterization misc Latent heat misc Air temperature misc Greening misc Surface properties misc Radiation misc Plateaux misc Sensible heat flux misc Sensible heat misc Rivers misc Heat flux misc Enthalpy misc Temperature (air-sea) misc Roughness length misc Radiation balance misc Temperature misc Precipitation misc Temperature differences misc Radiation flux misc Heat transfer misc Surface energy misc Energy balance misc Heat misc Latent heat flux misc Trends misc Fluctuations misc Topsoil misc Fluxes misc Parametrization Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012
authorStr	Han, Cunbo
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topic_title	550 DE-600 RA 1000 AVZ rvk Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 effective roughness length SEBS land surface heat flux trend Tibetan Plateau Net radiation Roughness Sensible heat transfer Glaciers Remote sensing Parameterization Latent heat Air temperature Greening Surface properties Radiation Plateaux Sensible heat flux Sensible heat Rivers Heat flux Enthalpy Temperature (air-sea) Roughness length Radiation balance Temperature Precipitation Temperature differences Radiation flux Heat transfer Surface energy Energy balance Heat Latent heat flux Trends Fluctuations Topsoil Fluxes Parametrization
topic	ddc 550 rvk RA 1000 misc effective roughness length misc SEBS misc land surface heat flux trend misc Tibetan Plateau misc Net radiation misc Roughness misc Sensible heat transfer misc Glaciers misc Remote sensing misc Parameterization misc Latent heat misc Air temperature misc Greening misc Surface properties misc Radiation misc Plateaux misc Sensible heat flux misc Sensible heat misc Rivers misc Heat flux misc Enthalpy misc Temperature (air-sea) misc Roughness length misc Radiation balance misc Temperature misc Precipitation misc Temperature differences misc Radiation flux misc Heat transfer misc Surface energy misc Energy balance misc Heat misc Latent heat flux misc Trends misc Fluctuations misc Topsoil misc Fluxes misc Parametrization
topic_unstemmed	ddc 550 rvk RA 1000 misc effective roughness length misc SEBS misc land surface heat flux trend misc Tibetan Plateau misc Net radiation misc Roughness misc Sensible heat transfer misc Glaciers misc Remote sensing misc Parameterization misc Latent heat misc Air temperature misc Greening misc Surface properties misc Radiation misc Plateaux misc Sensible heat flux misc Sensible heat misc Rivers misc Heat flux misc Enthalpy misc Temperature (air-sea) misc Roughness length misc Radiation balance misc Temperature misc Precipitation misc Temperature differences misc Radiation flux misc Heat transfer misc Surface energy misc Energy balance misc Heat misc Latent heat flux misc Trends misc Fluctuations misc Topsoil misc Fluxes misc Parametrization
topic_browse	ddc 550 rvk RA 1000 misc effective roughness length misc SEBS misc land surface heat flux trend misc Tibetan Plateau misc Net radiation misc Roughness misc Sensible heat transfer misc Glaciers misc Remote sensing misc Parameterization misc Latent heat misc Air temperature misc Greening misc Surface properties misc Radiation misc Plateaux misc Sensible heat flux misc Sensible heat misc Rivers misc Heat flux misc Enthalpy misc Temperature (air-sea) misc Roughness length misc Radiation balance misc Temperature misc Precipitation misc Temperature differences misc Radiation flux misc Heat transfer misc Surface energy misc Energy balance misc Heat misc Latent heat flux misc Trends misc Fluctuations misc Topsoil misc Fluxes misc Parametrization
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title	Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012
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title_full	Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012
author_sort	Han, Cunbo
journal	International journal of climatology
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doi_str_mv	10.1002/joc.5119
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title_sort	trends of land surface heat fluxes on the tibetan plateau from 2001 to 2012
title_auth	Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012
abstract	A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient.
abstractGer	A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient.
abstract_unstemmed	A parameterization approach of effective roughness length was introduced into the Surface Energy Balance System ( SEBS ) model to account for subgrid‐scale topographical influences. Regional distribution of land surface heat flux values (including net radiation flux, ground heat flux, sensible heat flux, and latent heat flux) was estimated on the Tibetan Plateau ( TP ) based on the SEBS model, and utilizing remote sensing products and reanalysis datasets. We then investigated annual trends in these fluxes for the period 2001–2012. It was found that land surface net radiation flux increased slightly, especially in high, mountainous regions and the central TP , and was influenced by glacial retreat and topsoil wetting, respectively. Sensible heat flux decreased overall, especially in the central and northern TP . In the Yarlung Zangbo River ( YZR ) Basin, the sensible heat flux increased because of a rise in the ground‐air temperature difference. The latent heat flux increased over the majority TP , except for areas in the YZR Basin. This can be attributed to increases in precipitation and vegetation greening. Comparison between observed and remote sensing‐based land surface albedo and land surface temperature ( LST ) at the QOMS and Namco stations. RMSE is the root‐mean‐square error, MB is mean bias, and R is the correlation coefficient.
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title_short	Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012
url	http://dx.doi.org/10.1002/joc.5119 http://onlinelibrary.wiley.com/doi/10.1002/joc.5119/abstract https://search.proquest.com/docview/1958507024
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author2	Ma, Yaoming Chen, Xuelong Su, Zhongbo
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up_date	2024-07-04T03:22:52.697Z
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Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012

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Zugang & Verfügbarkeit

Vorhandene Bände

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