The PRIMAP-hist national historical emissions time series

Gütschow, Johannes; Jeffery, M. Louise; Gieseke, Robert; Gebel, Ronja; Stevens, David; Krapp, Mario; Rocha, Marcia

doi:10.5194/essd-8-571-2016

Articles | Volume 8, issue 2

https://doi.org/10.5194/essd-8-571-2016

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

https://doi.org/10.5194/essd-8-571-2016

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

Articles | Volume 8, issue 2

09 Nov 2016

| 09 Nov 2016

The PRIMAP-hist national historical emissions time series

Johannes Gütschow, M. Louise Jeffery, Robert Gieseke, Ronja Gebel, David Stevens, Mario Krapp, and Marcia Rocha

Viewed

Total article views: 18,855 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
12,627	5,816	412	18,855	277	357

HTML: 12,627
PDF: 5,816
XML: 412
Total: 18,855
BibTeX: 277
EndNote: 357

Views and downloads (calculated since 02 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	54	14	2	70
Jul 2016	38	7	2	47
Aug 2016	22	4	1	27
Sep 2016	28	5	0	33
Oct 2016	20	9	0	29
Nov 2016	42	16	1	59
Dec 2016	30	6	0	36
Jan 2017	44	16	3	63
Feb 2017	38	17	2	57
Mar 2017	52	18	0	70
Apr 2017	67	14	2	83
May 2017	56	23	4	83
Jun 2017	73	30	6	109
Jul 2017	36	20	3	59
Aug 2017	34	33	1	68
Sep 2017	40	32	2	74
Oct 2017	43	40	0	83
Nov 2017	38	38	0	76
Dec 2017	27	45	0	72
Jan 2018	28	30	1	59
Feb 2018	36	37	5	78
Mar 2018	42	43	2	87
Apr 2018	36	37	3	76
May 2018	39	46	1	86
Jun 2018	32	39	1	72
Jul 2018	36	40	0	76
Aug 2018	43	55	0	98
Sep 2018	35	31	0	66
Oct 2018	24	36	1	61
Nov 2018	60	62	2	124
Dec 2018	41	37	5	83
Jan 2019	43	40	1	84
Feb 2019	34	17	3	54
Mar 2019	31	19	3	53
Apr 2019	78	62	2	142
May 2019	45	51	3	99
Jun 2019	68	48	1	117
Jul 2019	59	57	2	118
Aug 2019	61	49	2	112
Sep 2019	70	80	1	151
Oct 2019	68	48	1	117
Nov 2019	58	55	1	114
Dec 2019	52	33	0	85
Jan 2020	89	48	2	139
Feb 2020	85	38	1	124
Mar 2020	111	41	1	153
Apr 2020	68	32	2	102
May 2020	103	49	0	152
Jun 2020	90	52	2	144
Jul 2020	99	95	27	221
Aug 2020	69	51	1	121
Sep 2020	92	43	5	140
Oct 2020	94	51	4	149
Nov 2020	133	48	0	181
Dec 2020	126	69	3	198
Jan 2021	163	63	1	227
Feb 2021	121	65	3	189
Mar 2021	136	61	7	204
Apr 2021	161	77	4	242
May 2021	115	59	2	176
Jun 2021	115	60	10	185
Jul 2021	89	53	4	146
Aug 2021	122	65	3	190
Sep 2021	112	74	2	188
Oct 2021	151	100	4	255
Nov 2021	149	78	5	232
Dec 2021	125	65	6	196
Jan 2022	144	68	8	220
Feb 2022	151	63	4	218
Mar 2022	137	59	4	200
Apr 2022	124	49	6	179
May 2022	142	55	3	200
Jun 2022	185	67	9	261
Jul 2022	145	61	3	209
Aug 2022	149	53	4	206
Sep 2022	130	43	4	177
Oct 2022	151	65	8	224
Nov 2022	186	73	2	261
Dec 2022	147	43	6	196
Jan 2023	188	54	4	246
Feb 2023	160	53	5	218
Mar 2023	184	75	6	265
Apr 2023	138	58	8	204
May 2023	132	68	4	204
Jun 2023	179	70	9	258
Jul 2023	149	59	6	214
Aug 2023	173	68	4	245
Sep 2023	152	59	6	217
Oct 2023	200	78	6	284
Nov 2023	91	38	1	130
Dec 2023	137	57	5	199
Jan 2024	194	66	4	264
Feb 2024	141	51	11	203
Mar 2024	175	78	6	259
Apr 2024	160	83	15	258
May 2024	188	79	12	279
Jun 2024	198	77	6	281
Jul 2024	165	89	10	264
Aug 2024	189	82	7	278
Sep 2024	129	76	2	207
Oct 2024	130	69	4	203
Nov 2024	139	52	1	192
Dec 2024	109	56	6	171
Jan 2025	128	46	2	176
Feb 2025	106	35	2	143
Mar 2025	141	42	3	186
Apr 2025	124	57	5	186
May 2025	627	68	6	701
Jun 2025	413	89	5	507
Jul 2025	151	68	5	224
Aug 2025	209	59	1	269
Sep 2025	234	49	1	284
Oct 2025	166	56	2	224
Nov 2025	118	77	2	197

Cumulative views and downloads (calculated since 02 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	54	14	2	70
Jul 2016	38	7	2	47
Aug 2016	22	4	1	27
Sep 2016	28	5	0	33
Oct 2016	20	9	0	29
Nov 2016	42	16	1	59
Dec 2016	30	6	0	36
Jan 2017	44	16	3	63
Feb 2017	38	17	2	57
Mar 2017	52	18	0	70
Apr 2017	67	14	2	83
May 2017	56	23	4	83
Jun 2017	73	30	6	109
Jul 2017	36	20	3	59
Aug 2017	34	33	1	68
Sep 2017	40	32	2	74
Oct 2017	43	40	0	83
Nov 2017	38	38	0	76
Dec 2017	27	45	0	72
Jan 2018	28	30	1	59
Feb 2018	36	37	5	78
Mar 2018	42	43	2	87
Apr 2018	36	37	3	76
May 2018	39	46	1	86
Jun 2018	32	39	1	72
Jul 2018	36	40	0	76
Aug 2018	43	55	0	98
Sep 2018	35	31	0	66
Oct 2018	24	36	1	61
Nov 2018	60	62	2	124
Dec 2018	41	37	5	83
Jan 2019	43	40	1	84
Feb 2019	34	17	3	54
Mar 2019	31	19	3	53
Apr 2019	78	62	2	142
May 2019	45	51	3	99
Jun 2019	68	48	1	117
Jul 2019	59	57	2	118
Aug 2019	61	49	2	112
Sep 2019	70	80	1	151
Oct 2019	68	48	1	117
Nov 2019	58	55	1	114
Dec 2019	52	33	0	85
Jan 2020	89	48	2	139
Feb 2020	85	38	1	124
Mar 2020	111	41	1	153
Apr 2020	68	32	2	102
May 2020	103	49	0	152
Jun 2020	90	52	2	144
Jul 2020	99	95	27	221
Aug 2020	69	51	1	121
Sep 2020	92	43	5	140
Oct 2020	94	51	4	149
Nov 2020	133	48	0	181
Dec 2020	126	69	3	198
Jan 2021	163	63	1	227
Feb 2021	121	65	3	189
Mar 2021	136	61	7	204
Apr 2021	161	77	4	242
May 2021	115	59	2	176
Jun 2021	115	60	10	185
Jul 2021	89	53	4	146
Aug 2021	122	65	3	190
Sep 2021	112	74	2	188
Oct 2021	151	100	4	255
Nov 2021	149	78	5	232
Dec 2021	125	65	6	196
Jan 2022	144	68	8	220
Feb 2022	151	63	4	218
Mar 2022	137	59	4	200
Apr 2022	124	49	6	179
May 2022	142	55	3	200
Jun 2022	185	67	9	261
Jul 2022	145	61	3	209
Aug 2022	149	53	4	206
Sep 2022	130	43	4	177
Oct 2022	151	65	8	224
Nov 2022	186	73	2	261
Dec 2022	147	43	6	196
Jan 2023	188	54	4	246
Feb 2023	160	53	5	218
Mar 2023	184	75	6	265
Apr 2023	138	58	8	204
May 2023	132	68	4	204
Jun 2023	179	70	9	258
Jul 2023	149	59	6	214
Aug 2023	173	68	4	245
Sep 2023	152	59	6	217
Oct 2023	200	78	6	284
Nov 2023	91	38	1	130
Dec 2023	137	57	5	199
Jan 2024	194	66	4	264
Feb 2024	141	51	11	203
Mar 2024	175	78	6	259
Apr 2024	160	83	15	258
May 2024	188	79	12	279
Jun 2024	198	77	6	281
Jul 2024	165	89	10	264
Aug 2024	189	82	7	278
Sep 2024	129	76	2	207
Oct 2024	130	69	4	203
Nov 2024	139	52	1	192
Dec 2024	109	56	6	171
Jan 2025	128	46	2	176
Feb 2025	106	35	2	143
Mar 2025	141	42	3	186
Apr 2025	124	57	5	186
May 2025	627	68	6	701
Jun 2025	413	89	5	507
Jul 2025	151	68	5	224
Aug 2025	209	59	1	269
Sep 2025	234	49	1	284
Oct 2025	166	56	2	224
Nov 2025	118	77	2	197

Latest update: 26 Nov 2025

Short summary

This paper provides the methodology for the creation of historical country-resolved time series of greenhouse gas emissions from different datasets which are individually incomplete in terms of years, gases, and/or countries. The combination of datasets is carried out using the PRIMAP model (www.primap.org). The resulting time series can be viewed interactively on www.pik-potsdam.de/primap-live. It will be used for climate policy analysis, e.g. the historical responsibility for climate change.