Designing optimal greenhouse gas monitoring networks for Australia

Ziehn, T.; Law, R. M.; Rayner, P. J.; Roff, G.

doi:10.5194/gi-5-1-2016

Articles | Volume 5, issue 1

https://doi.org/10.5194/gi-5-1-2016

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

https://doi.org/10.5194/gi-5-1-2016

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

Articles | Volume 5, issue 1

Research article

|

19 Jan 2016

Research article |

| 19 Jan 2016

Designing optimal greenhouse gas monitoring networks for Australia

T. Ziehn, R. M. Law, P. J. Rayner, and G. Roff

Viewed

Total article views: 3,738 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,364	1,143	231	3,738	188	209

HTML: 2,364
PDF: 1,143
XML: 231
Total: 3,738
BibTeX: 188
EndNote: 209

Views and downloads (calculated since 05 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	30	31	4	65
Sep 2015	22	15	3	40
Oct 2015	14	7	1	22
Nov 2015	8	3	0	11
Dec 2015	7	3	3	13
Jan 2016	161	20	5	186
Feb 2016	131	12	2	145
Mar 2016	48	15	0	63
Apr 2016	17	4	2	23
May 2016	12	13	3	28
Jun 2016	8	7	0	15
Jul 2016	10	12	1	23
Aug 2016	6	10	0	16
Sep 2016	8	4	0	12
Oct 2016	5	3	0	8
Nov 2016	6	5	0	11
Dec 2016	5	3	0	8
Jan 2017	8	7	0	15
Feb 2017	5	3	0	8
Mar 2017	12	4	1	17
Apr 2017	10	7	4	21
May 2017	125	7	1	133
Jun 2017	59	9	1	69
Jul 2017	7	7	10	24
Aug 2017	7	11	2	20
Sep 2017	7	9	0	16
Oct 2017	4	9	0	13
Nov 2017	10	9	3	22
Dec 2017	9	10	4	23
Jan 2018	21	33	3	57
Feb 2018	12	27	0	39
Mar 2018	13	6	6	25
Apr 2018	6	7	0	13
May 2018	10	11	2	23
Jun 2018	5	5	1	11
Jul 2018	8	4	6	18
Aug 2018	12	10	0	22
Sep 2018	16	7	1	24
Oct 2018	11	7	4	22
Nov 2018	13	7	4	24
Dec 2018	7	5	1	13
Jan 2019	8	4	2	14
Feb 2019	7	2	0	9
Mar 2019	6	6	1	13
Apr 2019	3	7	1	11
May 2019	3	5	0	8
Jun 2019	8	10	0	18
Jul 2019	6	4	4	14
Aug 2019	7	7	1	15
Sep 2019	6	5	2	13
Oct 2019	7	8	1	16
Nov 2019	18	5	0	23
Dec 2019	14	5	3	22
Jan 2020	14	12	1	27
Feb 2020	14	5	2	21
Mar 2020	17	10	0	27
Apr 2020	13	7	3	23
May 2020	17	4	0	21
Jun 2020	33	10	0	43
Jul 2020	56	47	41	144
Aug 2020	13	7	2	22
Sep 2020	23	6	0	29
Oct 2020	20	8	1	29
Nov 2020	14	5	2	21
Dec 2020	22	5	0	27
Jan 2021	36	11	1	48
Feb 2021	32	8	4	44
Mar 2021	28	4	2	34
Apr 2021	26	9	2	37
May 2021	28	13	0	41
Jun 2021	22	5	1	28
Jul 2021	23	11	0	34
Aug 2021	24	9	2	35
Sep 2021	24	8	0	32
Oct 2021	13	41	2	56
Nov 2021	21	34	4	59
Dec 2021	29	6	2	37
Jan 2022	18	14	1	33
Feb 2022	5	4	3	12
Mar 2022	10	6	1	17
Apr 2022	13	6	1	20
May 2022	4	10	1	15
Jun 2022	8	4	2	14
Jul 2022	8	4	1	13
Aug 2022	10	8	1	19
Sep 2022	10	4	1	15
Oct 2022	13	8	1	22
Nov 2022	21	5	1	27
Dec 2022	14	10	0	24
Jan 2023	20	17	2	39
Feb 2023	13	9	0	22
Mar 2023	14	4	0	18
Apr 2023	8	7	0	15
May 2023	18	6	5	29
Jun 2023	6	9	0	15
Jul 2023	10	2	0	12
Aug 2023	9	6	2	17
Sep 2023	17	7	0	24
Oct 2023	12	3	0	15
Nov 2023	9	1	0	10
Dec 2023	18	7	3	28
Jan 2024	15	6	2	23
Feb 2024	5	5	0	10
Mar 2024	11	11	2	24
Apr 2024	26	6	8	40
May 2024	19	18	3	40
Jun 2024	24	11	4	39
Jul 2024	15	10	1	26
Aug 2024	34	4	2	40
Sep 2024	17	5	1	23
Oct 2024	15	5	1	21
Nov 2024	3	5	0	8
Dec 2024	6	3	1	10
Jan 2025	15	11	0	26
Feb 2025	32	9	0	41
Mar 2025	31	6	1	38
Apr 2025	25	6	0	31
May 2025	18	6	2	26
Jun 2025	34	19	3	56
Jul 2025	20	18	2	40
Aug 2025	27	15	2	44
Sep 2025	54	17	0	71
Oct 2025	33	18	1	52
Nov 2025	36	23	4	63
Dec 2025	11	4	0	15

Cumulative views and downloads (calculated since 05 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	30	31	4	65
Sep 2015	22	15	3	40
Oct 2015	14	7	1	22
Nov 2015	8	3	0	11
Dec 2015	7	3	3	13
Jan 2016	161	20	5	186
Feb 2016	131	12	2	145
Mar 2016	48	15	0	63
Apr 2016	17	4	2	23
May 2016	12	13	3	28
Jun 2016	8	7	0	15
Jul 2016	10	12	1	23
Aug 2016	6	10	0	16
Sep 2016	8	4	0	12
Oct 2016	5	3	0	8
Nov 2016	6	5	0	11
Dec 2016	5	3	0	8
Jan 2017	8	7	0	15
Feb 2017	5	3	0	8
Mar 2017	12	4	1	17
Apr 2017	10	7	4	21
May 2017	125	7	1	133
Jun 2017	59	9	1	69
Jul 2017	7	7	10	24
Aug 2017	7	11	2	20
Sep 2017	7	9	0	16
Oct 2017	4	9	0	13
Nov 2017	10	9	3	22
Dec 2017	9	10	4	23
Jan 2018	21	33	3	57
Feb 2018	12	27	0	39
Mar 2018	13	6	6	25
Apr 2018	6	7	0	13
May 2018	10	11	2	23
Jun 2018	5	5	1	11
Jul 2018	8	4	6	18
Aug 2018	12	10	0	22
Sep 2018	16	7	1	24
Oct 2018	11	7	4	22
Nov 2018	13	7	4	24
Dec 2018	7	5	1	13
Jan 2019	8	4	2	14
Feb 2019	7	2	0	9
Mar 2019	6	6	1	13
Apr 2019	3	7	1	11
May 2019	3	5	0	8
Jun 2019	8	10	0	18
Jul 2019	6	4	4	14
Aug 2019	7	7	1	15
Sep 2019	6	5	2	13
Oct 2019	7	8	1	16
Nov 2019	18	5	0	23
Dec 2019	14	5	3	22
Jan 2020	14	12	1	27
Feb 2020	14	5	2	21
Mar 2020	17	10	0	27
Apr 2020	13	7	3	23
May 2020	17	4	0	21
Jun 2020	33	10	0	43
Jul 2020	56	47	41	144
Aug 2020	13	7	2	22
Sep 2020	23	6	0	29
Oct 2020	20	8	1	29
Nov 2020	14	5	2	21
Dec 2020	22	5	0	27
Jan 2021	36	11	1	48
Feb 2021	32	8	4	44
Mar 2021	28	4	2	34
Apr 2021	26	9	2	37
May 2021	28	13	0	41
Jun 2021	22	5	1	28
Jul 2021	23	11	0	34
Aug 2021	24	9	2	35
Sep 2021	24	8	0	32
Oct 2021	13	41	2	56
Nov 2021	21	34	4	59
Dec 2021	29	6	2	37
Jan 2022	18	14	1	33
Feb 2022	5	4	3	12
Mar 2022	10	6	1	17
Apr 2022	13	6	1	20
May 2022	4	10	1	15
Jun 2022	8	4	2	14
Jul 2022	8	4	1	13
Aug 2022	10	8	1	19
Sep 2022	10	4	1	15
Oct 2022	13	8	1	22
Nov 2022	21	5	1	27
Dec 2022	14	10	0	24
Jan 2023	20	17	2	39
Feb 2023	13	9	0	22
Mar 2023	14	4	0	18
Apr 2023	8	7	0	15
May 2023	18	6	5	29
Jun 2023	6	9	0	15
Jul 2023	10	2	0	12
Aug 2023	9	6	2	17
Sep 2023	17	7	0	24
Oct 2023	12	3	0	15
Nov 2023	9	1	0	10
Dec 2023	18	7	3	28
Jan 2024	15	6	2	23
Feb 2024	5	5	0	10
Mar 2024	11	11	2	24
Apr 2024	26	6	8	40
May 2024	19	18	3	40
Jun 2024	24	11	4	39
Jul 2024	15	10	1	26
Aug 2024	34	4	2	40
Sep 2024	17	5	1	23
Oct 2024	15	5	1	21
Nov 2024	3	5	0	8
Dec 2024	6	3	1	10
Jan 2025	15	11	0	26
Feb 2025	32	9	0	41
Mar 2025	31	6	1	38
Apr 2025	25	6	0	31
May 2025	18	6	2	26
Jun 2025	34	19	3	56
Jul 2025	20	18	2	40
Aug 2025	27	15	2	44
Sep 2025	54	17	0	71
Oct 2025	33	18	1	52
Nov 2025	36	23	4	63
Dec 2025	11	4	0	15

Latest update: 06 Dec 2025

Short summary

This study investigates the optimal location of greenhouse gas (GHG) measurement stations in Australia in order to derive GHG flux estimates from concentration measurements. We find that an optimal network designed for CO₂ also performs well for other GHGs such as CH₄ and N₂O due to large similarities in the flux pattern for each of the three GHGs. Economic costs (i.e. maintenance costs) can be halved by selecting stations closer to the base laboratory with only a slight decrease in performance.