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@@ -9,41 +9,39 @@ Current functionality in the CESM-ECT suite includes:
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*Atmosphere component (CAM):*
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* CAM-ECT: examines yearly-average files from CAM
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* UF-CAM-ECT: examine history files from CAM
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* CAM-ECT: examines yearly-average files from CAM
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* UF-CAM-ECT: examine history files from CAM
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Both CAM-ECT and UF-CAM-ECT require a summary file generated by
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pyEnsSum.py. UF-CAM-ECT uses simulations of nine time-steps in length, while
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CAM-ECT uses yearly averages. The faster UF-CAM-ECT is always
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suggested to start with. (The CAM-ECT is typically only used in the case of an unexpected
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UF-CAM-ECT fail.) Three simulation runs from the new test environment are
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recommended for both of these tests. More information is available in:
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Both CAM-ECT and UF-CAM-ECT require a summary file generated by
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pyEnsSum.py. UF-CAM-ECT uses simulations of nine time-steps in length, while
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CAM-ECT uses yearly averages. The faster UF-CAM-ECT is always
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suggested to start with. (The CAM-ECT is typically only used in the case of an unexpected
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UF-CAM-ECT fail.) Three simulation runs from the new test environment are
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recommended for both of these tests. More information is available in:
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Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, and
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Elizabeth R. Jessup, “Nine time steps: ultra-fast statistical
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consistency testing of the Community Earth System Model (pyCECT
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v3.0)”, Geoscientific Model Development, 11, pp. 697-711, 2018.
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Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, and
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Elizabeth R. Jessup, “Nine time steps: ultra-fast statistical
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consistency testing of the Community Earth System Model (pyCECT
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v3.0)”, Geoscientific Model Development, 11, pp. 697-711, 2018.
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https://gmd.copernicus.org/articles/11/697/2018/
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https://gmd.copernicus.org/articles/11/697/2018/
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*Ocean Component (POP):*
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* POP-ECT: examines monthly-average files from POP
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* POP-ECT: examines monthly-average files from POP
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POP-ECT requires a summary file generated by pyEnsSumPop.py and uses
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monthly output, typically from a single year. One simulation run from
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the new test environment is needed. More information is available in:
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POP-ECT requires a summary file generated by pyEnsSumPop.py and uses
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monthly output, typically from a single year. One simulation run from
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the new test environment is needed. More information is available in:
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A.H. Baker, Y. Hu, D.M. Hammerling, Y. Tseng, X. Hu, X. Huang,
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F.O. Bryan, and G. Yang, “Evaluating Statistical Consistency in the
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Ocean Model Component of the Community Earth System Model
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(pyCECT v2.0).” Geoscientific Model Development, 9, pp. 2391-2406, 2016.
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https://gmd.copernicus.org/articles/9/2391/2016/
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A.H. Baker, Y. Hu, D.M. Hammerling, Y. Tseng, X. Hu, X. Huang,
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F.O. Bryan, and G. Yang, “Evaluating Statistical Consistency in the
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Ocean Model Component of the Community Earth System Model
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(pyCECT v2.0).” Geoscientific Model Development, 9, pp. 2391-2406, 2016.
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https://gmd.copernicus.org/articles/9/2391/2016/
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To use pyCECT:

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