Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data

Robinson, Emma L.; Blyth, Eleanor M.; Clark, Douglas B.; Finch, Jon; Rudd, Alison C.

doi:https://doi.org/10.5194/hess-21-1189-2017

Articles | Volume 21, issue 2

https://doi.org/10.5194/hess-21-1189-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-1189-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 2

Research article

|

28 Feb 2017

Research article |

| 28 Feb 2017

Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data

Emma L. Robinson, Eleanor M. Blyth, Douglas B. Clark, Jon Finch, and Alison C. Rudd

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Views and downloads (calculated since 27 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	98	47	2	147
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Mar 2016	58	41	1	100
Apr 2016	32	36	0	68
May 2016	11	14	0	25
Jun 2016	10	1	0	11
Jul 2016	9	3	0	12
Aug 2016	8	6	0	14
Sep 2016	6	1	1	8
Oct 2016	7	5	9	21
Nov 2016	2	12	9	23
Dec 2016	3	10	0	13
Jan 2017	4	3	0	7
Feb 2017	89	27	1	117
Mar 2017	280	105	11	396
Apr 2017	53	25	5	83
May 2017	56	56	7	119
Jun 2017	58	23	5	86
Jul 2017	26	11	1	38
Aug 2017	15	9	0	24
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Oct 2017	15	9	1	25
Nov 2017	28	34	1	63
Dec 2017	19	11	1	31
Jan 2018	12	18	1	31
Feb 2018	17	11	4	32
Mar 2018	17	9	0	26
Apr 2018	15	7	1	23
May 2018	25	18	1	44
Jun 2018	15	15	4	34
Jul 2018	9	4	2	15
Aug 2018	21	9	3	33
Sep 2018	24	18	1	43
Oct 2018	25	10	4	39
Nov 2018	19	17	5	41
Dec 2018	13	13	2	28
Jan 2019	10	15	2	27
Feb 2019	16	12	1	29
Mar 2019	10	7	3	20
Apr 2019	8	9	0	17
May 2019	20	7	0	27
Jun 2019	12	7	0	19
Jul 2019	17	9	0	26
Aug 2019	8	4	0	12
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Oct 2019	15	16	1	32
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Dec 2019	7	11	1	19
Jan 2020	16	12	2	30
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Mar 2020	20	16	0	36
Apr 2020	14	12	0	26
May 2020	15	8	0	23
Jun 2020	18	20	0	38
Jul 2020	27	24	5	56
Aug 2020	11	24	3	38
Sep 2020	19	29	1	49
Oct 2020	22	61	1	84
Nov 2020	21	25	1	47
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Jan 2021	35	28	0	63
Feb 2021	18	30	2	50
Mar 2021	10	40	0	50
Apr 2021	12	26	1	39
May 2021	20	29	0	49
Jun 2021	15	23	0	38
Jul 2021	17	33	1	51
Aug 2021	19	31	3	53
Sep 2021	26	23	0	49
Oct 2021	29	72	0	101
Nov 2021	36	48	1	85
Dec 2021	36	26	0	62
Jan 2022	29	31	0	60
Feb 2022	25	17	2	44
Mar 2022	25	42	0	67
Apr 2022	36	18	1	55
May 2022	20	17	1	38
Jun 2022	18	11	1	30
Jul 2022	13	8	1	22
Aug 2022	25	22	1	48
Sep 2022	16	23	1	40
Oct 2022	15	14	2	31
Nov 2022	39	29	1	69
Dec 2022	21	21	3	45
Jan 2023	38	35	4	77
Feb 2023	36	27	2	65
Mar 2023	62	28	5	95
Apr 2023	42	33	2	77
May 2023	26	29	1	56
Jun 2023	21	21	1	43
Jul 2023	24	40	3	67
Aug 2023	24	20	4	48
Sep 2023	9	26	2	37
Oct 2023	24	17	4	45
Nov 2023	11	18	1	30
Dec 2023	18	10	2	30
Jan 2024	31	41	0	72
Feb 2024	26	33	3	62
Mar 2024	15	18	4	37
Apr 2024	22	32	3	57
May 2024	19	9	1	29
Jun 2024	34	21	1	56
Jul 2024	36	10	7	53
Aug 2024	41	15	1	57
Sep 2024	13	6	0	19
Oct 2024	15	16	0	31
Nov 2024	14	18	0	32
Dec 2024	23	16	3	42
Jan 2025	28	32	0	60
Feb 2025	33	14	4	51
Mar 2025	49	14	1	64
Apr 2025	29	36	2	67
May 2025	31	10	0	41
Jun 2025	46	34	0	80
Jul 2025	32	29	3	64
Aug 2025	47	25	2	74
Sep 2025	42	15	1	58
Oct 2025	26	40	1	67
Nov 2025	1	6	0	7

Cumulative views and downloads (calculated since 27 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	98	47	2	147
Feb 2016	107	71	4	182
Mar 2016	58	41	1	100
Apr 2016	32	36	0	68
May 2016	11	14	0	25
Jun 2016	10	1	0	11
Jul 2016	9	3	0	12
Aug 2016	8	6	0	14
Sep 2016	6	1	1	8
Oct 2016	7	5	9	21
Nov 2016	2	12	9	23
Dec 2016	3	10	0	13
Jan 2017	4	3	0	7
Feb 2017	89	27	1	117
Mar 2017	280	105	11	396
Apr 2017	53	25	5	83
May 2017	56	56	7	119
Jun 2017	58	23	5	86
Jul 2017	26	11	1	38
Aug 2017	15	9	0	24
Sep 2017	26	22	1	49
Oct 2017	15	9	1	25
Nov 2017	28	34	1	63
Dec 2017	19	11	1	31
Jan 2018	12	18	1	31
Feb 2018	17	11	4	32
Mar 2018	17	9	0	26
Apr 2018	15	7	1	23
May 2018	25	18	1	44
Jun 2018	15	15	4	34
Jul 2018	9	4	2	15
Aug 2018	21	9	3	33
Sep 2018	24	18	1	43
Oct 2018	25	10	4	39
Nov 2018	19	17	5	41
Dec 2018	13	13	2	28
Jan 2019	10	15	2	27
Feb 2019	16	12	1	29
Mar 2019	10	7	3	20
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May 2019	20	7	0	27
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Apr 2020	14	12	0	26
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Mar 2021	10	40	0	50
Apr 2021	12	26	1	39
May 2021	20	29	0	49
Jun 2021	15	23	0	38
Jul 2021	17	33	1	51
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Jan 2022	29	31	0	60
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Mar 2022	25	42	0	67
Apr 2022	36	18	1	55
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Jun 2022	18	11	1	30
Jul 2022	13	8	1	22
Aug 2022	25	22	1	48
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Oct 2022	15	14	2	31
Nov 2022	39	29	1	69
Dec 2022	21	21	3	45
Jan 2023	38	35	4	77
Feb 2023	36	27	2	65
Mar 2023	62	28	5	95
Apr 2023	42	33	2	77
May 2023	26	29	1	56
Jun 2023	21	21	1	43
Jul 2023	24	40	3	67
Aug 2023	24	20	4	48
Sep 2023	9	26	2	37
Oct 2023	24	17	4	45
Nov 2023	11	18	1	30
Dec 2023	18	10	2	30
Jan 2024	31	41	0	72
Feb 2024	26	33	3	62
Mar 2024	15	18	4	37
Apr 2024	22	32	3	57
May 2024	19	9	1	29
Jun 2024	34	21	1	56
Jul 2024	36	10	7	53
Aug 2024	41	15	1	57
Sep 2024	13	6	0	19
Oct 2024	15	16	0	31
Nov 2024	14	18	0	32
Dec 2024	23	16	3	42
Jan 2025	28	32	0	60
Feb 2025	33	14	4	51
Mar 2025	49	14	1	64
Apr 2025	29	36	2	67
May 2025	31	10	0	41
Jun 2025	46	34	0	80
Jul 2025	32	29	3	64
Aug 2025	47	25	2	74
Sep 2025	42	15	1	58
Oct 2025	26	40	1	67
Nov 2025	1	6	0	7

Latest update: 07 Nov 2025

Short summary

We present a dataset of daily meteorological variables at 1 km resolution over Great Britain (1961–2012), calculated by spatially downscaling coarser resolution datasets, adjusting for local topography, along with derived potential evapotranspiration (PET). A positive trend in PET was identified and attributed to trends in the meteorology. The trend in PET is particularly driven by decreasing relative humidity and increasing shortwave radiation in the spring.