Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0)

Baker, Allison H.; Hu, Yong; Hammerling, Dorit M.; Tseng, Yu-heng; Xu, Haiying; Huang, Xiaomeng; Bryan, Frank O.; Yang, Guangwen

doi:10.5194/gmd-9-2391-2016

Articles | Volume 9, issue 7

https://doi.org/10.5194/gmd-9-2391-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-2391-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 7

Development and technical paper

|

12 Jul 2016

Development and technical paper |

| 12 Jul 2016

Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0)

Allison H. Baker, Yong Hu, Dorit M. Hammerling, Yu-heng Tseng, Haiying Xu, Xiaomeng Huang, Frank O. Bryan, and Guangwen Yang

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Total article views: 3,972 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
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PDF: 1,404
XML: 214
Total: 3,972
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EndNote: 258

Views and downloads (calculated since 28 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	45	12	0	57
Feb 2016	43	22	2	67
Mar 2016	33	8	0	41
Apr 2016	12	6	1	19
May 2016	8	7	0	15
Jun 2016	3	4	0	7
Jul 2016	80	23	9	112
Aug 2016	22	4	1	27
Sep 2016	17	6	2	25
Oct 2016	5	2	4	11
Nov 2016	9	6	2	17
Dec 2016	10	7	1	18
Jan 2017	22	9	6	37
Feb 2017	13	13	4	30
Mar 2017	33	20	7	60
Apr 2017	27	24	5	56
May 2017	45	22	13	80
Jun 2017	30	11	11	52
Jul 2017	13	11	1	25
Aug 2017	6	11	0	17
Sep 2017	9	12	0	21
Oct 2017	9	23	1	33
Nov 2017	5	21	0	26
Dec 2017	9	20	2	31
Jan 2018	9	17	1	27
Feb 2018	11	18	0	29
Mar 2018	9	28	1	38
Apr 2018	8	23	0	31
May 2018	7	23	1	31
Jun 2018	5	26	1	32
Jul 2018	7	27	0	34
Aug 2018	21	33	0	54
Sep 2018	9	15	1	25
Oct 2018	9	20	2	31
Nov 2018	10	30	1	41
Dec 2018	7	24	5	36
Jan 2019	5	11	0	16
Feb 2019	9	10	0	19
Mar 2019	5	14	2	21
Apr 2019	6	21	0	27
May 2019	3	10	0	13
Jun 2019	6	24	1	31
Jul 2019	16	20	0	36
Aug 2019	4	23	3	30
Sep 2019	4	18	0	22
Oct 2019	10	12	0	22
Nov 2019	7	17	0	24
Dec 2019	7	9	3	19
Jan 2020	15	6	1	22
Feb 2020	6	3	0	9
Mar 2020	5	7	1	13
Apr 2020	8	4	0	12
May 2020	5	4	0	9
Jun 2020	14	14	2	30
Jul 2020	42	63	25	130
Aug 2020	12	5	0	17
Sep 2020	17	1	18
Oct 2020	16	10	0	26
Nov 2020	8	10	0	18
Dec 2020	21	7	1	29
Jan 2021	29	9	8	46
Feb 2021	14	6	1	21
Mar 2021	7	4	2	13
Apr 2021	7	12	1	20
May 2021	7	8	0	15
Jun 2021	8	5	1	14
Jul 2021	5	8	1	14
Aug 2021	8	6	1	15
Sep 2021	10	9	0	19
Oct 2021	7	36	0	43
Nov 2021	7	21	4	32
Dec 2021	6	4	4	14
Jan 2022	8	8	0	16
Feb 2022	5	2	1	8
Mar 2022	8	5	4	17
Apr 2022	31	4	2	37
May 2022	35	8	1	44
Jun 2022	35	5	1	41
Jul 2022	28	2	0	30
Aug 2022	37	3	0	40
Sep 2022	35	3	0	38
Oct 2022	37	1	2	40
Nov 2022	47	12	0	59
Dec 2022	37	8	0	45
Jan 2023	34	4	0	38
Feb 2023	41	5	0	46
Mar 2023	44	10	0	54
Apr 2023	32	2	0	34
May 2023	50	5	0	55
Jun 2023	65	4	1	70
Jul 2023	51	3	0	54
Aug 2023	48	5	5	58
Sep 2023	44	2	0	46
Oct 2023	39	5	0	44
Nov 2023	26	3	0	29
Dec 2023	41	4	1	46
Jan 2024	39	7	1	47
Feb 2024	33	7	0	40
Mar 2024	37	6	0	43
Apr 2024	46	8	5	59
May 2024	17	10	7	34
Jun 2024	10	8	2	20
Jul 2024	10	9	3	22
Aug 2024	24	5	3	32
Sep 2024	11	4	0	15
Oct 2024	17	8	3	28
Nov 2024	25	4	2	31
Dec 2024	16	6	3	25
Jan 2025	17	19	1	37
Feb 2025	25	18	2	45
Mar 2025	15	5	1	21
Apr 2025	14	16	0	30
May 2025	22	9	0	31
Jun 2025	34	14	0	48
Jul 2025	17	14	2	33
Aug 2025	17	23	1	41
Sep 2025	29	29	2	60
Oct 2025	27	15	5	47
Nov 2025	8	9	5	22

Cumulative views and downloads (calculated since 28 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	45	12	0	57
Feb 2016	43	22	2	67
Mar 2016	33	8	0	41
Apr 2016	12	6	1	19
May 2016	8	7	0	15
Jun 2016	3	4	0	7
Jul 2016	80	23	9	112
Aug 2016	22	4	1	27
Sep 2016	17	6	2	25
Oct 2016	5	2	4	11
Nov 2016	9	6	2	17
Dec 2016	10	7	1	18
Jan 2017	22	9	6	37
Feb 2017	13	13	4	30
Mar 2017	33	20	7	60
Apr 2017	27	24	5	56
May 2017	45	22	13	80
Jun 2017	30	11	11	52
Jul 2017	13	11	1	25
Aug 2017	6	11	0	17
Sep 2017	9	12	0	21
Oct 2017	9	23	1	33
Nov 2017	5	21	0	26
Dec 2017	9	20	2	31
Jan 2018	9	17	1	27
Feb 2018	11	18	0	29
Mar 2018	9	28	1	38
Apr 2018	8	23	0	31
May 2018	7	23	1	31
Jun 2018	5	26	1	32
Jul 2018	7	27	0	34
Aug 2018	21	33	0	54
Sep 2018	9	15	1	25
Oct 2018	9	20	2	31
Nov 2018	10	30	1	41
Dec 2018	7	24	5	36
Jan 2019	5	11	0	16
Feb 2019	9	10	0	19
Mar 2019	5	14	2	21
Apr 2019	6	21	0	27
May 2019	3	10	0	13
Jun 2019	6	24	1	31
Jul 2019	16	20	0	36
Aug 2019	4	23	3	30
Sep 2019	4	18	0	22
Oct 2019	10	12	0	22
Nov 2019	7	17	0	24
Dec 2019	7	9	3	19
Jan 2020	15	6	1	22
Feb 2020	6	3	0	9
Mar 2020	5	7	1	13
Apr 2020	8	4	0	12
May 2020	5	4	0	9
Jun 2020	14	14	2	30
Jul 2020	42	63	25	130
Aug 2020	12	5	0	17
Sep 2020	17	1	18
Oct 2020	16	10	0	26
Nov 2020	8	10	0	18
Dec 2020	21	7	1	29
Jan 2021	29	9	8	46
Feb 2021	14	6	1	21
Mar 2021	7	4	2	13
Apr 2021	7	12	1	20
May 2021	7	8	0	15
Jun 2021	8	5	1	14
Jul 2021	5	8	1	14
Aug 2021	8	6	1	15
Sep 2021	10	9	0	19
Oct 2021	7	36	0	43
Nov 2021	7	21	4	32
Dec 2021	6	4	4	14
Jan 2022	8	8	0	16
Feb 2022	5	2	1	8
Mar 2022	8	5	4	17
Apr 2022	31	4	2	37
May 2022	35	8	1	44
Jun 2022	35	5	1	41
Jul 2022	28	2	0	30
Aug 2022	37	3	0	40
Sep 2022	35	3	0	38
Oct 2022	37	1	2	40
Nov 2022	47	12	0	59
Dec 2022	37	8	0	45
Jan 2023	34	4	0	38
Feb 2023	41	5	0	46
Mar 2023	44	10	0	54
Apr 2023	32	2	0	34
May 2023	50	5	0	55
Jun 2023	65	4	1	70
Jul 2023	51	3	0	54
Aug 2023	48	5	5	58
Sep 2023	44	2	0	46
Oct 2023	39	5	0	44
Nov 2023	26	3	0	29
Dec 2023	41	4	1	46
Jan 2024	39	7	1	47
Feb 2024	33	7	0	40
Mar 2024	37	6	0	43
Apr 2024	46	8	5	59
May 2024	17	10	7	34
Jun 2024	10	8	2	20
Jul 2024	10	9	3	22
Aug 2024	24	5	3	32
Sep 2024	11	4	0	15
Oct 2024	17	8	3	28
Nov 2024	25	4	2	31
Dec 2024	16	6	3	25
Jan 2025	17	19	1	37
Feb 2025	25	18	2	45
Mar 2025	15	5	1	21
Apr 2025	14	16	0	30
May 2025	22	9	0	31
Jun 2025	34	14	0	48
Jul 2025	17	14	2	33
Aug 2025	17	23	1	41
Sep 2025	29	29	2	60
Oct 2025	27	15	5	47
Nov 2025	8	9	5	22

Latest update: 08 Nov 2025

Short summary

Software quality assurance is critical to detecting errors in large, complex climate simulation codes. We focus on ocean model simulation data in the context of an ensemble-based statistical consistency testing approach developed for atmospheric data. Because ocean and atmosphere models have differing characteristics, we develop a new statistical tool to evaluate ocean model simulation data that provide a simple, subjective, and systematic way to detect errors and instil model confidence.