Ensemble Single Column Modeling in the Tropics - Derivation of observed forcing data sets, estimation of observation uncertainty and application to parametrization improvements

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The project was carried out in 2 distinct phases. In the first phase we established the general validity of using an ensemble approach to Single Column Modeling (SCM) using the Manus and Nauru sites. In the second phase we derived and applied an ensemble forcing derivation technique to observations. First we derived an ensemble forcing estimate for the TWP-ICE experiment and then by extended the method to provide three wet seasons of “continuous ensemble forcing” for the Darwin site. The main purpose of using ensemble techniques in SCM simulation is to be able to assess how much of the overall ... continued below

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Jakob, Christian July 6, 2012.

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The project was carried out in 2 distinct phases. In the first phase we established the general validity of using an ensemble approach to Single Column Modeling (SCM) using the Manus and Nauru sites. In the second phase we derived and applied an ensemble forcing derivation technique to observations. First we derived an ensemble forcing estimate for the TWP-ICE experiment and then by extended the method to provide three wet seasons of “continuous ensemble forcing” for the Darwin site. The main purpose of using ensemble techniques in SCM simulation is to be able to assess how much of the overall SCM simulation error is due to model errors and how much due to errors in the forcing.

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  • Report No.: DOE/ER/64527-1
  • Grant Number: FG02-08ER64527
  • DOI: 10.2172/1045133 | External Link
  • Office of Scientific & Technical Information Report Number: 1045133
  • Archival Resource Key: ark:/67531/metadc844019

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  • July 6, 2012

Added to The UNT Digital Library

  • May 19, 2016, 9:45 a.m.

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  • June 14, 2016, 9:33 p.m.

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Jakob, Christian. Ensemble Single Column Modeling in the Tropics - Derivation of observed forcing data sets, estimation of observation uncertainty and application to parametrization improvements, report, July 6, 2012; United States. (digital.library.unt.edu/ark:/67531/metadc844019/: accessed January 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.