Interannual rainfall variability over China in the MetUM GA6  and GC2 configurations

Stephan, Claudia Christine; Klingaman, Nicholas P.; Vidale, Pier Luigi; Turner, Andrew G.; Demory, Marie-Estelle; Guo, Liang

doi:https://doi.org/10.5194/gmd-11-1823-2018

Articles | Volume 11, issue 5

https://doi.org/10.5194/gmd-11-1823-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-1823-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 5

Model evaluation paper

|

08 May 2018

Model evaluation paper |

| 08 May 2018

Interannual rainfall variability over China in the MetUM GA6 and GC2 configurations

Claudia Christine Stephan, Nicholas P. Klingaman, Pier Luigi Vidale, Andrew G. Turner, Marie-Estelle Demory, and Liang Guo

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Month	HTML	PDF	XML	Total
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Dec 2017	23	9	1	33
Jan 2018	36	9	6	51
Feb 2018	32	9	7	48
Mar 2018	18	9	2	29
Apr 2018	14	6	0	20
May 2018	198	40	7	245
Jun 2018	29	15	2	46
Jul 2018	13	14	1	28
Aug 2018	18	14	0	32
Sep 2018	14	8	0	22
Oct 2018	21	12	2	35
Nov 2018	22	15	2	39
Dec 2018	17	14	1	32
Jan 2019	13	13	0	26
Feb 2019	9	13	3	25
Mar 2019	13	11	0	24
Apr 2019	7	16	3	26
May 2019	20	6	0	26
Jun 2019	26	10	1	37
Jul 2019	9	9	0	18
Aug 2019	8	15	0	23
Sep 2019	9	14	0	23
Oct 2019	54	21	1	76
Nov 2019	43	6	0	49
Dec 2019	13	18	2	33
Jan 2020	24	11	2	37
Feb 2020	10	6	0	16
Mar 2020	8	10	2	20
Apr 2020	10	5	0	15
May 2020	15	4	0	19
Jun 2020	20	14	1	35
Jul 2020	48	54	9	111
Aug 2020	8	8	3	19
Sep 2020	9	15	1	25
Oct 2020	11	16	1	28
Nov 2020	11	18	4	33
Dec 2020	13	15	0	28
Jan 2021	25	33	0	58
Feb 2021	5	12	0	17
Mar 2021	10	14	2	26
Apr 2021	6	12	0	18
May 2021	7	15	0	22
Jun 2021	6	7	1	14
Jul 2021	8	8	0	16
Aug 2021	6	12	0	18
Sep 2021	14	17	0	31
Oct 2021	7	40	1	48
Nov 2021	13	23	0	36
Dec 2021	14	10	0	24
Jan 2022	10	7	1	18
Feb 2022	13	9	1	23
Mar 2022	21	6	0	27
Apr 2022	40	7	1	48
May 2022	7	9	1	17
Jun 2022	16	12	0	28
Jul 2022	31	4	1	36
Aug 2022	74	11	0	85
Sep 2022	9	14	0	23
Oct 2022	16	9	0	25
Nov 2022	57	8	1	66
Dec 2022	38	8	0	46
Jan 2023	40	14	0	54
Feb 2023	37	4	0	41
Mar 2023	40	7	0	47
Apr 2023	16	8	0	24
May 2023	10	8	0	18
Jun 2023	7	5	0	12
Jul 2023	3	3	1	7
Aug 2023	6	4	1	11
Sep 2023	11	5	0	16
Oct 2023	12	4	0	16
Nov 2023	5	8	1	14
Dec 2023	23	9	4	36
Jan 2024	65	7	1	73
Feb 2024	8	9	0	17
Mar 2024	10	9	3	22
Apr 2024	24	6	4	34
May 2024	27	7	6	40
Jun 2024	35	8	3	46

Cumulative views and downloads (calculated since 03 Nov 2017)

Month	HTML	PDF	XML	Total
Nov 2017	111	37	3	151
Dec 2017	23	9	1	33
Jan 2018	36	9	6	51
Feb 2018	32	9	7	48
Mar 2018	18	9	2	29
Apr 2018	14	6	0	20
May 2018	198	40	7	245
Jun 2018	29	15	2	46
Jul 2018	13	14	1	28
Aug 2018	18	14	0	32
Sep 2018	14	8	0	22
Oct 2018	21	12	2	35
Nov 2018	22	15	2	39
Dec 2018	17	14	1	32
Jan 2019	13	13	0	26
Feb 2019	9	13	3	25
Mar 2019	13	11	0	24
Apr 2019	7	16	3	26
May 2019	20	6	0	26
Jun 2019	26	10	1	37
Jul 2019	9	9	0	18
Aug 2019	8	15	0	23
Sep 2019	9	14	0	23
Oct 2019	54	21	1	76
Nov 2019	43	6	0	49
Dec 2019	13	18	2	33
Jan 2020	24	11	2	37
Feb 2020	10	6	0	16
Mar 2020	8	10	2	20
Apr 2020	10	5	0	15
May 2020	15	4	0	19
Jun 2020	20	14	1	35
Jul 2020	48	54	9	111
Aug 2020	8	8	3	19
Sep 2020	9	15	1	25
Oct 2020	11	16	1	28
Nov 2020	11	18	4	33
Dec 2020	13	15	0	28
Jan 2021	25	33	0	58
Feb 2021	5	12	0	17
Mar 2021	10	14	2	26
Apr 2021	6	12	0	18
May 2021	7	15	0	22
Jun 2021	6	7	1	14
Jul 2021	8	8	0	16
Aug 2021	6	12	0	18
Sep 2021	14	17	0	31
Oct 2021	7	40	1	48
Nov 2021	13	23	0	36
Dec 2021	14	10	0	24
Jan 2022	10	7	1	18
Feb 2022	13	9	1	23
Mar 2022	21	6	0	27
Apr 2022	40	7	1	48
May 2022	7	9	1	17
Jun 2022	16	12	0	28
Jul 2022	31	4	1	36
Aug 2022	74	11	0	85
Sep 2022	9	14	0	23
Oct 2022	16	9	0	25
Nov 2022	57	8	1	66
Dec 2022	38	8	0	46
Jan 2023	40	14	0	54
Feb 2023	37	4	0	41
Mar 2023	40	7	0	47
Apr 2023	16	8	0	24
May 2023	10	8	0	18
Jun 2023	7	5	0	12
Jul 2023	3	3	1	7
Aug 2023	6	4	1	11
Sep 2023	11	5	0	16
Oct 2023	12	4	0	16
Nov 2023	5	8	1	14
Dec 2023	23	9	4	36
Jan 2024	65	7	1	73
Feb 2024	8	9	0	17
Mar 2024	10	9	3	22
Apr 2024	24	6	4	34
May 2024	27	7	6	40
Jun 2024	35	8	3	46

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Short summary

Climate simulations are evaluated for their ability to reproduce year-to-year variability of precipitation over China. Mean precipitation and variability are too high in all simulations but improve with finer resolution and coupling. Simulations reproduce the observed spatial patterns of rainfall variability. However, not all of these patterns are associated with observed mechanisms. For example, simulations do not reproduce summer rainfall along the Yangtze valley in response to El Niño.