Estimating surface energy fluxes: a key component for estimating potential evaporation
A model has been developed that can predict the solar and infrared downwelling radiation fluxes using ground based measurements of the air temperature, relative humidity and the cloud cover. The algorithm has been validated using several years of ground-based data for 15 sites across the globe (13 s...
Published in: | International Congress on Modelling and Simulation, Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation. |
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The Modelling and Simulation Society of Australia and New Zealand Inc.
2021
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Online Access: | http://hdl.handle.net/1885/237747 https://doi.org/10.36334/modsim.2017.L20.croke https://openresearch-repository.anu.edu.au/bitstream/1885/237747/3/01_Croke_Estimating_surface_energy_2017.pdf.jpg |
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ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/237747 2024-01-14T09:58:53+01:00 Estimating surface energy fluxes: a key component for estimating potential evaporation Croke, Barry Syme, G. MacDonald, D. Hatton Fulton, B. Piantadosi, J Hobart, Australia 2021-08-01T08:26:54Z application/pdf http://hdl.handle.net/1885/237747 https://doi.org/10.36334/modsim.2017.L20.croke https://openresearch-repository.anu.edu.au/bitstream/1885/237747/3/01_Croke_Estimating_surface_energy_2017.pdf.jpg en_AU eng The Modelling and Simulation Society of Australia and New Zealand Inc. 22nd International Congress on Modelling and Simulation (MODSIM2017) 9780987214379 http://hdl.handle.net/1885/237747 doi:10.36334/modsim.2017.L20.croke https://openresearch-repository.anu.edu.au/bitstream/1885/237747/3/01_Croke_Estimating_surface_energy_2017.pdf.jpg © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0 Creative Commons Attribution 4.0 International CC BY License MODSIM2017, 22nd International Congress on Modelling and Simulation http://www.mssanz.org.au/modsim2017/ Solar radiation infra-red radiation water vapour potential evaporation Conference paper 2021 ftanucanberra https://doi.org/10.36334/modsim.2017.L20.croke 2023-12-15T09:34:16Z A model has been developed that can predict the solar and infrared downwelling radiation fluxes using ground based measurements of the air temperature, relative humidity and the cloud cover. The algorithm has been validated using several years of ground-based data for 15 sites across the globe (13 sites from the Baseline Surface Radiation Network (BSRN), as well as data for two sites in Crete). These stations cover a wide range of climatic conditions, including those of arctic, desert, sub-tropical, Mediterranean, as well as elevated sites. The RMS residual for the monthly mean short wave (SW) solar flux (approximately 0.2 to 3 μm) is typically 12 Wm-2 (mean observed daily SW flux across all stations is 305 Wm-2), while the thermal IR flux (roughly 4-50 μm) derived using the algorithms gives RMS residuals of approximately 8 Wm-2 (mean observed daily IR flux across all stations is 180 Wm-2). Daily observed and modelled fluxes, as well as residuals are shown for 8 of the stations in Figure 1. As well as the radiation fluxes, the model also estimates the atmospheric water vapour content, which has been tested using available radiosonde data for 8 of the stations. In comparison with the observed mean water vapour content, the values derived by the algorithms have typical values for bias of 0.01 g cm-2 and RMS residual of 0.15 g cm-2 (mean across all stations is 1.65 g cm-2), accounting for 80 % of the observed variation. Since the model uses readily available meteorological data, the net radiation flux at the surface can readily be calculated (given the surface albedo), providing an estimate of a dominant term in estimating potential evaporation and evapotranspiration. Conference Object albedo Arctic Australian National University: ANU Digital Collections Arctic International Congress on Modelling and Simulation, Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation. |
institution |
Open Polar |
collection |
Australian National University: ANU Digital Collections |
op_collection_id |
ftanucanberra |
language |
English |
topic |
Solar radiation infra-red radiation water vapour potential evaporation |
spellingShingle |
Solar radiation infra-red radiation water vapour potential evaporation Croke, Barry Estimating surface energy fluxes: a key component for estimating potential evaporation |
topic_facet |
Solar radiation infra-red radiation water vapour potential evaporation |
description |
A model has been developed that can predict the solar and infrared downwelling radiation fluxes using ground based measurements of the air temperature, relative humidity and the cloud cover. The algorithm has been validated using several years of ground-based data for 15 sites across the globe (13 sites from the Baseline Surface Radiation Network (BSRN), as well as data for two sites in Crete). These stations cover a wide range of climatic conditions, including those of arctic, desert, sub-tropical, Mediterranean, as well as elevated sites. The RMS residual for the monthly mean short wave (SW) solar flux (approximately 0.2 to 3 μm) is typically 12 Wm-2 (mean observed daily SW flux across all stations is 305 Wm-2), while the thermal IR flux (roughly 4-50 μm) derived using the algorithms gives RMS residuals of approximately 8 Wm-2 (mean observed daily IR flux across all stations is 180 Wm-2). Daily observed and modelled fluxes, as well as residuals are shown for 8 of the stations in Figure 1. As well as the radiation fluxes, the model also estimates the atmospheric water vapour content, which has been tested using available radiosonde data for 8 of the stations. In comparison with the observed mean water vapour content, the values derived by the algorithms have typical values for bias of 0.01 g cm-2 and RMS residual of 0.15 g cm-2 (mean across all stations is 1.65 g cm-2), accounting for 80 % of the observed variation. Since the model uses readily available meteorological data, the net radiation flux at the surface can readily be calculated (given the surface albedo), providing an estimate of a dominant term in estimating potential evaporation and evapotranspiration. |
author2 |
Syme, G. MacDonald, D. Hatton Fulton, B. Piantadosi, J |
format |
Conference Object |
author |
Croke, Barry |
author_facet |
Croke, Barry |
author_sort |
Croke, Barry |
title |
Estimating surface energy fluxes: a key component for estimating potential evaporation |
title_short |
Estimating surface energy fluxes: a key component for estimating potential evaporation |
title_full |
Estimating surface energy fluxes: a key component for estimating potential evaporation |
title_fullStr |
Estimating surface energy fluxes: a key component for estimating potential evaporation |
title_full_unstemmed |
Estimating surface energy fluxes: a key component for estimating potential evaporation |
title_sort |
estimating surface energy fluxes: a key component for estimating potential evaporation |
publisher |
The Modelling and Simulation Society of Australia and New Zealand Inc. |
publishDate |
2021 |
url |
http://hdl.handle.net/1885/237747 https://doi.org/10.36334/modsim.2017.L20.croke https://openresearch-repository.anu.edu.au/bitstream/1885/237747/3/01_Croke_Estimating_surface_energy_2017.pdf.jpg |
op_coverage |
Hobart, Australia |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic |
genre_facet |
albedo Arctic |
op_source |
MODSIM2017, 22nd International Congress on Modelling and Simulation http://www.mssanz.org.au/modsim2017/ |
op_relation |
22nd International Congress on Modelling and Simulation (MODSIM2017) 9780987214379 http://hdl.handle.net/1885/237747 doi:10.36334/modsim.2017.L20.croke https://openresearch-repository.anu.edu.au/bitstream/1885/237747/3/01_Croke_Estimating_surface_energy_2017.pdf.jpg |
op_rights |
© 2017 The Author(s) http://creativecommons.org/licenses/by/4.0 Creative Commons Attribution 4.0 International CC BY License |
op_doi |
https://doi.org/10.36334/modsim.2017.L20.croke |
container_title |
International Congress on Modelling and Simulation, Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation. |
_version_ |
1788066556095234048 |