Dataset

Conserving Land-Atmosphere Synthesis Suite (CLASS) v 1.0

Also known as: CLASS
ARC Centre of Excellence for Climate System Science
ARC Centre of Excellence for Climate System Science Data Manager (Managed by) Sanaa Hobeichi (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/5c3bcd55afd26&rft.title=Conserving Land-Atmosphere Synthesis Suite (CLASS) v 1.0&rft.identifier=10.25914/5c3bcd55afd26&rft.publisher=ARC Centre of Excellence for Climate System Science&rft.description=In this work, we develop a Conserving Land-Atmosphere Synthesis Suite (CLASS) of estimates of simultaneously balanced surface water and energy budget components over 2003-2009 that are coherent by being able to solve the water and energy budgets simultaneously at 0.5-degree grid scale. The individual budget variables, where possible: 1) combine a range of existing global estimates, 2) are observationally constrained with in-situ observations, 3) have uncertainty estimates that reflect their agreement with in-situ measurements. To derive the hybrid estimates of the individual budget terms we merged available datasets by implementing a weighting approach that accounts for both the performance of the datasets against in-situ measurements as well as their error dependance. Then, we adjusted all the budget terms simultaneously based on their relative errors by applying an objective variational data assimilation technique that enforces the physical constraints of the surface water and energy budgets linked through the equivalence of evapotranspiration and latent heat. The final output is a monthly, 0.5-degree, global dataset of the water and energy budget variables over 2003-2009 and include estimates for: Net radiation flux (Rn) and its associated uncertainty, Sensible heat flux (H) and its associated uncertainty, Latent heat flux (LH) and its associated uncertainty, Ground heat flux (G) and its associated uncertainty, Precipitation (P) and its associated uncertainty Total runoff (Q) and its associated uncertainty Change in water storage (deltaS) and its associated uncertainty When all the energy budget variables are changed to positive when upward, they satisfy Rn=H+LH+G When the latent heat flux (LH) is converted to the same unit as the water budget terms, the hydrologic variables satisfy: P=LH + Q + deltaS The uncertainty of each flux is computed from its discrepancy with in-situ observations  &rft.creator=Sanaa Hobeichi&rft.date=2018&rft.coverage=-180,-90 -180,90 180,90 180,-90 -180,-90&rft.coverage=land areas globally excluding Greenland and Antarctica&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=Creative Commons - Attribution - Non Commercial - ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode&rft_subject=Hydrogeology&rft_subject=Earth Sciences&rft_subject=Physical Geography and Environmental Geoscience&rft_subject=Surface Processes&rft_subject=Climate Change Processes&rft_subject=Atmospheric Sciences&rft_subject=Water Budget&rft_subject=Energy Budget&rft.type=dataset&rft.language=English Access the data

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Non-Commercial Licence view details
CC-BY-NC-SA

Creative Commons - Attribution - Non Commercial - ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

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Dataset is available online via NCI thredds catalogue

Full description

In this work, we develop a Conserving Land-Atmosphere Synthesis Suite (CLASS) of estimates of simultaneously balanced surface water and energy budget components over 2003-2009 that are coherent by being able to solve the water and energy budgets simultaneously at 0.5-degree grid scale. The individual budget variables, where possible:
1) combine a range of existing global estimates,
2) are observationally constrained with in-situ observations,
3) have uncertainty estimates that reflect their agreement with in-situ measurements.
To derive the hybrid estimates of the individual budget terms we merged available datasets by implementing a weighting approach that accounts for both the performance of the datasets against in-situ measurements as well as their error dependance. Then, we adjusted all the budget terms simultaneously based on their relative errors by applying an objective variational data assimilation technique that enforces the physical constraints of the surface water and energy budgets linked through the equivalence of evapotranspiration and latent heat.

The final output is a monthly, 0.5-degree, global dataset of the water and energy budget variables over 2003-2009 and include estimates for:

Net radiation flux (Rn) and its associated uncertainty,

Sensible heat flux (H) and its associated uncertainty,

Latent heat flux (LH) and its associated uncertainty,

Ground heat flux (G) and its associated uncertainty,

Precipitation (P) and its associated uncertainty

Total runoff (Q) and its associated uncertainty

Change in water storage (deltaS) and its associated uncertainty

When all the energy budget variables are changed to positive when upward, they satisfy Rn=H+LH+G

When the latent heat flux (LH) is converted to the same unit as the water budget terms, the hydrologic variables satisfy:

P=LH + Q + deltaS

The uncertainty of each flux is computed from its discrepancy with in-situ observations

 

Created: 30 11 2018

Data time period: 2003 to 2009-12-31

-180,-90 -180,90 0,90 180,90 180,-90 0,-90 -180,-90

0,0

text: land areas globally excluding Greenland and Antarctica

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