The efficient urban canopy dependency parametrization (SURY) v1.0 for
atmospheric modelling: description and application with the COSMO-CLM model
for a Belgian summer

Wouters, Hendrik; Demuzere, Matthias; Blahak, Ulrich; Fortuniak, Krzysztof; Maiheu, Bino; Camps, Johan; Tielemans, Daniël; van Lipzig, Nicole P. M.

doi:10.5194/gmd-9-3027-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/gmd-9-3027-2016

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

https://doi.org/10.5194/gmd-9-3027-2016

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

Articles | Volume 9, issue 9

Development and technical paper

|

02 Sep 2016

Development and technical paper |

| 02 Sep 2016

The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: description and application with the COSMO-CLM model for a Belgian summer

Hendrik Wouters, Matthias Demuzere, Ulrich Blahak, Krzysztof Fortuniak, Bino Maiheu, Johan Camps, Daniël Tielemans, and Nicole P. M. van Lipzig

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Month	HTML	PDF	XML	Total
Apr 2016	93	27	1	121
May 2016	61	14	1	76
Jun 2016	29	6	1	36
Jul 2016	17	7	0	24
Aug 2016	21	6	0	27
Sep 2016	117	31	9	157
Oct 2016	26	11	2	39
Nov 2016	19	5	6	30
Dec 2016	15	11	4	30
Jan 2017	32	19	7	58
Feb 2017	38	12	7	57
Mar 2017	50	33	21	104
Apr 2017	62	24	16	102
May 2017	67	33	29	129
Jun 2017	63	16	21	100
Jul 2017	22	10	8	40
Aug 2017	12	8	4	24
Sep 2017	12	10	7	29
Oct 2017	15	4	13	32
Nov 2017	14	9	8	31
Dec 2017	14	6	9	29
Jan 2018	19	11	7	37
Feb 2018	28	3	11	42
Mar 2018	18	6	8	32
Apr 2018	18	12	0	30
May 2018	19	11	1	31
Jun 2018	16	13	4	33
Jul 2018	19	11	5	35
Aug 2018	26	11	3	40
Sep 2018	16	7	4	27
Oct 2018	17	14	7	38
Nov 2018	28	16	6	50
Dec 2018	19	8	2	29
Jan 2019	16	9	0	25
Feb 2019	20	10	2	32
Mar 2019	9	9	0	18
Apr 2019	17	8	2	27
May 2019	19	18	2	39
Jun 2019	16	19	1	36
Jul 2019	20	11	4	35
Aug 2019	20	13	1	34
Sep 2019	16	11	1	28
Oct 2019	20	12	0	32
Nov 2019	13	19	5	37
Dec 2019	22	18	4	44
Jan 2020	23	9	6	38
Feb 2020	19	13	4	36
Mar 2020	17	14	0	31
Apr 2020	16	7	0	23
May 2020	10	16	0	26
Jun 2020	20	19	0	39
Jul 2020	56	69	30	155
Aug 2020	16	7	2	25
Sep 2020	22	8	0	30
Oct 2020	31	26	1	58
Nov 2020	20	16	1	37
Dec 2020	27	16	0	43
Jan 2021	28	28	2	58
Feb 2021	22	20	2	44
Mar 2021	17	25	3	45
Apr 2021	13	9	3	25
May 2021	13	6	3	22
Jun 2021	20	10	0	30
Jul 2021	43	13	1	57
Aug 2021	15	7	1	23
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Oct 2021	16	37	0	53
Nov 2021	22	31	1	54
Dec 2021	19	10	1	30
Jan 2022	22	19	0	41
Feb 2022	19	10	4	33
Mar 2022	15	4	2	21
Apr 2022	37	11	0	48
May 2022	47	12	5	64
Jun 2022	43	8	5	56
Jul 2022	37	4	0	41
Aug 2022	49	8	2	59
Sep 2022	44	19	0	63
Oct 2022	50	9	3	62
Nov 2022	59	20	0	79
Dec 2022	43	11	1	55
Jan 2023	51	14	1	66
Feb 2023	55	14	0	69
Mar 2023	82	16	2	100
Apr 2023	46	7	0	53
May 2023	54	12	0	66
Jun 2023	70	11	0	81
Jul 2023	54	10	1	65
Aug 2023	48	11	2	61
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Oct 2023	196	12	0	208
Nov 2023	194	8	0	202
Dec 2023	72	18	4	94
Jan 2024	55	14	3	72
Feb 2024	44	28	1	73
Mar 2024	51	23	5	79
Apr 2024	57	10	3	70
May 2024	22	13	6	41
Jun 2024	54	12	3	69
Jul 2024	37	20	3	60
Aug 2024	37	11	4	52
Sep 2024	26	10	0	36
Oct 2024	33	22	0	55
Nov 2024	40	10	6	56
Dec 2024	33	24	5	62
Jan 2025	43	68	1	112
Feb 2025	56	63	4	123
Mar 2025	20	111	0	131
Apr 2025	21	134	0	155
May 2025	27	133	1	161
Jun 2025	46	91	4	141
Jul 2025	28	29	3	60
Aug 2025	27	17	0	44
Sep 2025	53	24	1	78
Oct 2025	53	24	3	80
Nov 2025	12	8	1	21

Cumulative views and downloads (calculated since 12 Apr 2016)

Month	HTML	PDF	XML	Total
Apr 2016	93	27	1	121
May 2016	61	14	1	76
Jun 2016	29	6	1	36
Jul 2016	17	7	0	24
Aug 2016	21	6	0	27
Sep 2016	117	31	9	157
Oct 2016	26	11	2	39
Nov 2016	19	5	6	30
Dec 2016	15	11	4	30
Jan 2017	32	19	7	58
Feb 2017	38	12	7	57
Mar 2017	50	33	21	104
Apr 2017	62	24	16	102
May 2017	67	33	29	129
Jun 2017	63	16	21	100
Jul 2017	22	10	8	40
Aug 2017	12	8	4	24
Sep 2017	12	10	7	29
Oct 2017	15	4	13	32
Nov 2017	14	9	8	31
Dec 2017	14	6	9	29
Jan 2018	19	11	7	37
Feb 2018	28	3	11	42
Mar 2018	18	6	8	32
Apr 2018	18	12	0	30
May 2018	19	11	1	31
Jun 2018	16	13	4	33
Jul 2018	19	11	5	35
Aug 2018	26	11	3	40
Sep 2018	16	7	4	27
Oct 2018	17	14	7	38
Nov 2018	28	16	6	50
Dec 2018	19	8	2	29
Jan 2019	16	9	0	25
Feb 2019	20	10	2	32
Mar 2019	9	9	0	18
Apr 2019	17	8	2	27
May 2019	19	18	2	39
Jun 2019	16	19	1	36
Jul 2019	20	11	4	35
Aug 2019	20	13	1	34
Sep 2019	16	11	1	28
Oct 2019	20	12	0	32
Nov 2019	13	19	5	37
Dec 2019	22	18	4	44
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Feb 2020	19	13	4	36
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Apr 2020	16	7	0	23
May 2020	10	16	0	26
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Jul 2020	56	69	30	155
Aug 2020	16	7	2	25
Sep 2020	22	8	0	30
Oct 2020	31	26	1	58
Nov 2020	20	16	1	37
Dec 2020	27	16	0	43
Jan 2021	28	28	2	58
Feb 2021	22	20	2	44
Mar 2021	17	25	3	45
Apr 2021	13	9	3	25
May 2021	13	6	3	22
Jun 2021	20	10	0	30
Jul 2021	43	13	1	57
Aug 2021	15	7	1	23
Sep 2021	27	15	1	43
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Dec 2021	19	10	1	30
Jan 2022	22	19	0	41
Feb 2022	19	10	4	33
Mar 2022	15	4	2	21
Apr 2022	37	11	0	48
May 2022	47	12	5	64
Jun 2022	43	8	5	56
Jul 2022	37	4	0	41
Aug 2022	49	8	2	59
Sep 2022	44	19	0	63
Oct 2022	50	9	3	62
Nov 2022	59	20	0	79
Dec 2022	43	11	1	55
Jan 2023	51	14	1	66
Feb 2023	55	14	0	69
Mar 2023	82	16	2	100
Apr 2023	46	7	0	53
May 2023	54	12	0	66
Jun 2023	70	11	0	81
Jul 2023	54	10	1	65
Aug 2023	48	11	2	61
Sep 2023	87	14	0	101
Oct 2023	196	12	0	208
Nov 2023	194	8	0	202
Dec 2023	72	18	4	94
Jan 2024	55	14	3	72
Feb 2024	44	28	1	73
Mar 2024	51	23	5	79
Apr 2024	57	10	3	70
May 2024	22	13	6	41
Jun 2024	54	12	3	69
Jul 2024	37	20	3	60
Aug 2024	37	11	4	52
Sep 2024	26	10	0	36
Oct 2024	33	22	0	55
Nov 2024	40	10	6	56
Dec 2024	33	24	5	62
Jan 2025	43	68	1	112
Feb 2025	56	63	4	123
Mar 2025	20	111	0	131
Apr 2025	21	134	0	155
May 2025	27	133	1	161
Jun 2025	46	91	4	141
Jul 2025	28	29	3	60
Aug 2025	27	17	0	44
Sep 2025	53	24	1	78
Oct 2025	53	24	3	80
Nov 2025	12	8	1	21

Latest update: 08 Nov 2025

Short summary

A methodology is presented for translating three-dimensional information of urban areas into land-surface parameters that can be easily employed in atmospheric modelling. As demonstrated with the COSMO-CLM model for a Belgian summer, it enables them to represent urban heat islands and their dependency on urban design with a low computational cost. It allows for efficiently incorporating urban information systems (e.g., WUDAPT) into climate change assessment and numerical weather prediction.