Development of satellite green vegetation fraction time series for use in mesoscale modeling

application to the European heat wave 2006

Eva Boegh, Joakim Refslund Nielsen, Ebba Dellwik, Andrea N. Hahmann, Michael J. Barlage

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

A method is presented for development of satellite green vegetation fraction (GVF) time series for use in the Weather Research and Forecasting (WRF) model. The GVF data is in the WRF model used to describe the temporal evolution of many land surface parameters, in addition to the evolution of vegetation. Several high-resolution GVF products, derived from high-quality satellite retrievals from Moderate Resolution Imaging Spectroradiometer images, were produced and their performance was evaluated in long-term WRF simulations. The atmospheric conditions during the 2006 heat wave year over Europe were simulated since significant interannual variability in vegetation seasonality was found. Such interannual variability is expected to increase in the coming decades due to climatic changes. The simulation using a quadratic normalized difference vegetation index to GVF relationship resulted in consistent improvements of modeled temperatures. The model mean temperature cold bias was reduced by 10 % for the whole domain and by 20–45 % in areas affected by the heat wave. The study shows that WRF simulations during heat waves and droughts, when vegetation conditions deviate from the climatology, require concurrent land surface properties in order to produce accurate results.
OriginalsprogEngelsk
TidsskriftTheoretical and Applied Climatology
Vol/bind117
Udgave nummer3-4
Sider (fra-til)377-392
Antal sider16
ISSN0177-798X
DOI
StatusUdgivet - 2014

Emneord

  • Earth Observation
  • Climate
  • Land surface hydrology
  • Model

Citer dette

Boegh, Eva ; Nielsen, Joakim Refslund ; Dellwik, Ebba ; Hahmann, Andrea N. ; Barlage, Michael J. / Development of satellite green vegetation fraction time series for use in mesoscale modeling : application to the European heat wave 2006. I: Theoretical and Applied Climatology. 2014 ; Bind 117, Nr. 3-4. s. 377-392.
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title = "Development of satellite green vegetation fraction time series for use in mesoscale modeling: application to the European heat wave 2006",
abstract = "A method is presented for development of satellite green vegetation fraction (GVF) time series for use in the Weather Research and Forecasting (WRF) model. The GVF data is in the WRF model used to describe the temporal evolution of many land surface parameters, in addition to the evolution of vegetation. Several high-resolution GVF products, derived from high-quality satellite retrievals from Moderate Resolution Imaging Spectroradiometer images, were produced and their performance was evaluated in long-term WRF simulations. The atmospheric conditions during the 2006 heat wave year over Europe were simulated since significant interannual variability in vegetation seasonality was found. Such interannual variability is expected to increase in the coming decades due to climatic changes. The simulation using a quadratic normalized difference vegetation index to GVF relationship resulted in consistent improvements of modeled temperatures. The model mean temperature cold bias was reduced by 10 {\%} for the whole domain and by 20–45 {\%} in areas affected by the heat wave. The study shows that WRF simulations during heat waves and droughts, when vegetation conditions deviate from the climatology, require concurrent land surface properties in order to produce accurate results.",
keywords = "Earth Observation, Climate, Land surface hydrology, Model, Earth Observation, Climate, Land surface hydrology, Model",
author = "Eva Boegh and Nielsen, {Joakim Refslund} and Ebba Dellwik and Hahmann, {Andrea N.} and Barlage, {Michael J.}",
year = "2014",
doi = "10.1007/s00704-013-1004-z",
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Development of satellite green vegetation fraction time series for use in mesoscale modeling : application to the European heat wave 2006. / Boegh, Eva; Nielsen, Joakim Refslund; Dellwik, Ebba; Hahmann, Andrea N.; Barlage, Michael J.

I: Theoretical and Applied Climatology, Bind 117, Nr. 3-4, 2014, s. 377-392.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Development of satellite green vegetation fraction time series for use in mesoscale modeling

T2 - application to the European heat wave 2006

AU - Boegh, Eva

AU - Nielsen, Joakim Refslund

AU - Dellwik, Ebba

AU - Hahmann, Andrea N.

AU - Barlage, Michael J.

PY - 2014

Y1 - 2014

N2 - A method is presented for development of satellite green vegetation fraction (GVF) time series for use in the Weather Research and Forecasting (WRF) model. The GVF data is in the WRF model used to describe the temporal evolution of many land surface parameters, in addition to the evolution of vegetation. Several high-resolution GVF products, derived from high-quality satellite retrievals from Moderate Resolution Imaging Spectroradiometer images, were produced and their performance was evaluated in long-term WRF simulations. The atmospheric conditions during the 2006 heat wave year over Europe were simulated since significant interannual variability in vegetation seasonality was found. Such interannual variability is expected to increase in the coming decades due to climatic changes. The simulation using a quadratic normalized difference vegetation index to GVF relationship resulted in consistent improvements of modeled temperatures. The model mean temperature cold bias was reduced by 10 % for the whole domain and by 20–45 % in areas affected by the heat wave. The study shows that WRF simulations during heat waves and droughts, when vegetation conditions deviate from the climatology, require concurrent land surface properties in order to produce accurate results.

AB - A method is presented for development of satellite green vegetation fraction (GVF) time series for use in the Weather Research and Forecasting (WRF) model. The GVF data is in the WRF model used to describe the temporal evolution of many land surface parameters, in addition to the evolution of vegetation. Several high-resolution GVF products, derived from high-quality satellite retrievals from Moderate Resolution Imaging Spectroradiometer images, were produced and their performance was evaluated in long-term WRF simulations. The atmospheric conditions during the 2006 heat wave year over Europe were simulated since significant interannual variability in vegetation seasonality was found. Such interannual variability is expected to increase in the coming decades due to climatic changes. The simulation using a quadratic normalized difference vegetation index to GVF relationship resulted in consistent improvements of modeled temperatures. The model mean temperature cold bias was reduced by 10 % for the whole domain and by 20–45 % in areas affected by the heat wave. The study shows that WRF simulations during heat waves and droughts, when vegetation conditions deviate from the climatology, require concurrent land surface properties in order to produce accurate results.

KW - Earth Observation

KW - Climate

KW - Land surface hydrology

KW - Model

KW - Earth Observation

KW - Climate

KW - Land surface hydrology

KW - Model

U2 - 10.1007/s00704-013-1004-z

DO - 10.1007/s00704-013-1004-z

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EP - 392

JO - Theoretical and Applied Climatology

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