A robust calibration approach for PM<sub>10</sub> prediction from MODIS aerosol optical depth

Yap, X. Q.; Hashim, M.

doi:10.5194/acp-13-3517-2013

Articles | Volume 13, issue 6

https://doi.org/10.5194/acp-13-3517-2013

© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Observations and modeling of aerosol and cloud properties...

https://doi.org/10.5194/acp-13-3517-2013

© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 13, issue 6

Research article

|

27 Mar 2013

Research article |

| 27 Mar 2013

A robust calibration approach for PM₁₀ prediction from MODIS aerosol optical depth

X. Q. Yap and M. Hashim

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Total article views: 7,260 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,725	4,358	177	7,260	163	150

HTML: 2,725
PDF: 4,358
XML: 177
Total: 7,260
BibTeX: 163
EndNote: 150

Views and downloads (calculated since 01 Feb 2013, article published on 06 Dec 2012)

Month	HTML	PDF	XML	Total
Feb 2013	67	30	3	100
Mar 2013	244	91	3	338
Apr 2013	92	122	4	218
May 2013	50	65	4	119
Jun 2013	52	69	1	122
Jul 2013	53	109	0	162
Aug 2013	21	36	3	60
Sep 2013	26	59	4	89
Oct 2013	32	73	5	110
Nov 2013	28	79	7	114
Dec 2013	22	53	4	79
Jan 2014	18	35	2	55
Feb 2014	29	45	6	80
Mar 2014	43	42	7	92
Apr 2014	27	42	4	73
May 2014	10	43	1	54
Jun 2014	8	202	1	211
Jul 2014	18	346	0	364
Aug 2014	21	225	5	251
Sep 2014	12	157	2	171
Oct 2014	10	39	0	49
Nov 2014	7	36	0	43
Dec 2014	13	57	1	71
Jan 2015	21	43	1	65
Feb 2015	15	19	0	34
Mar 2015	19	13	1	33
Apr 2015	22	9	1	32
May 2015	5	14	2	21
Jun 2015	33	6	2	41
Jul 2015	28	8	1	37
Aug 2015	17	30	1	48
Sep 2015	3	37	1	41
Oct 2015	23	43	1	67
Nov 2015	35	37	7	79
Dec 2015	5	49	2	56
Jan 2016	29	48	1	78
Feb 2016	28	38	1	67
Mar 2016	24	51	1	76
Apr 2016	14	33	0	47
May 2016	14	22	0	36
Jun 2016	9	5	1	15
Jul 2016	12	5	3	20
Aug 2016	7	7	0	14
Sep 2016	10	2	0	12
Oct 2016	10	13	0	23
Nov 2016	4	1	0	5
Dec 2016	5	4	0	9
Jan 2017	15	7	1	23
Feb 2017	13	3	1	17
Mar 2017	12	18	1	31
Apr 2017	25	16	0	41
May 2017	21	9	0	30
Jun 2017	17	13	1	31
Jul 2017	12	4	0	16
Aug 2017	10	12	0	22
Sep 2017	9	8	1	18
Oct 2017	10	26	0	36
Nov 2017	11	24	0	35
Dec 2017	11	15	0	26
Jan 2018	4	11	0	15
Feb 2018	2	5	0	7
Mar 2018	9	13	1	23
Apr 2018	5	9	0	14
May 2018	6	12	1	19
Jun 2018	8	10	0	18
Jul 2018	5	10	0	15
Aug 2018	13	9	0	22
Sep 2018	5	10	0	15
Oct 2018	8	8	1	17
Nov 2018	9	7	0	16
Dec 2018	10	5	1	16
Jan 2019	6	8	0	14
Feb 2019	5	3	1	9
Mar 2019	4	4	0	8
Apr 2019	8	6	0	14
May 2019	9	6	0	15
Jun 2019	4	3	0	7
Jul 2019	2	5	0	7
Aug 2019	4	8	1	13
Sep 2019	0
Oct 2019	6	3	0	9
Nov 2019	3	4	0	7
Dec 2019	5	1	0	6
Jan 2020	10	2	0	12
Feb 2020	6	6	1	13
Mar 2020	4	4	0	8
Apr 2020	2	5	0	7
May 2020	1	3	0	4
Jun 2020	24	3	0	27
Jul 2020	23	10	5	38
Aug 2020	10	6	5	21
Sep 2020	7	4	0	11
Oct 2020	6	5	1	12
Nov 2020	4	4	1	9
Dec 2020	9	5	0	14
Jan 2021	15	13	0	28
Feb 2021	9	5	0	14
Mar 2021	9	8	0	17
Apr 2021	7	7	0	14
May 2021	7	10	1	18
Jun 2021	15	7	0	22
Jul 2021	8	9	0	17
Aug 2021	6	6	0	12
Sep 2021	10	12	0	22
Oct 2021	13	43	1	57
Nov 2021	7	21	0	28
Dec 2021	11	6	0	17
Jan 2022	9	6	0	15
Feb 2022	9	3	1	13
Mar 2022	6	4	0	10
Apr 2022	8	12	3	23
May 2022	4	10	1	15
Jun 2022	6	1	0	7
Jul 2022	3	6	0	9
Aug 2022	5	4	0	9
Sep 2022	4	7	0	11
Oct 2022	9	1	2	12
Nov 2022	13	5	2	20
Dec 2022	12	9	2	23
Jan 2023	25	17	1	43
Feb 2023	16	13	1	30
Mar 2023	29	21	1	51
Apr 2023	9	51	0	60
May 2023	24	53	0	77
Jun 2023	36	50	1	87
Jul 2023	32	71	0	103
Aug 2023	38	72	4	114
Sep 2023	40	141	0	181
Oct 2023	41	146	1	188
Nov 2023	26	90	1	117
Dec 2023	38	3	2	43
Jan 2024	34	3	0	37
Feb 2024	32	15	0	47
Mar 2024	39	17	1	57
Apr 2024	39	23	3	65
May 2024	12	49	1	62
Jun 2024	7	12	0	19
Jul 2024	11	14	1	26
Aug 2024	20	19	1	40
Sep 2024	7	38	0	45
Oct 2024	16	31	0	47
Nov 2024	10	11	4	25
Dec 2024	12	19	0	31
Jan 2025	19	18	3	40
Feb 2025	21	14	2	37
Mar 2025	20	19	4	43
Apr 2025	10	15	1	26
May 2025	13	12	1	26
Jun 2025	24	11	2	37
Jul 2025	12	19	2	33
Aug 2025	19	23	1	43
Sep 2025	38	17	3	58
Oct 2025	19	27	0	46
Nov 2025	19	19	4	42
Dec 2025	6	6	0	12

Cumulative views and downloads (calculated since 01 Feb 2013, article published on 06 Dec 2012)

Month	HTML	PDF	XML	Total
Feb 2013	67	30	3	100
Mar 2013	244	91	3	338
Apr 2013	92	122	4	218
May 2013	50	65	4	119
Jun 2013	52	69	1	122
Jul 2013	53	109	0	162
Aug 2013	21	36	3	60
Sep 2013	26	59	4	89
Oct 2013	32	73	5	110
Nov 2013	28	79	7	114
Dec 2013	22	53	4	79
Jan 2014	18	35	2	55
Feb 2014	29	45	6	80
Mar 2014	43	42	7	92
Apr 2014	27	42	4	73
May 2014	10	43	1	54
Jun 2014	8	202	1	211
Jul 2014	18	346	0	364
Aug 2014	21	225	5	251
Sep 2014	12	157	2	171
Oct 2014	10	39	0	49
Nov 2014	7	36	0	43
Dec 2014	13	57	1	71
Jan 2015	21	43	1	65
Feb 2015	15	19	0	34
Mar 2015	19	13	1	33
Apr 2015	22	9	1	32
May 2015	5	14	2	21
Jun 2015	33	6	2	41
Jul 2015	28	8	1	37
Aug 2015	17	30	1	48
Sep 2015	3	37	1	41
Oct 2015	23	43	1	67
Nov 2015	35	37	7	79
Dec 2015	5	49	2	56
Jan 2016	29	48	1	78
Feb 2016	28	38	1	67
Mar 2016	24	51	1	76
Apr 2016	14	33	0	47
May 2016	14	22	0	36
Jun 2016	9	5	1	15
Jul 2016	12	5	3	20
Aug 2016	7	7	0	14
Sep 2016	10	2	0	12
Oct 2016	10	13	0	23
Nov 2016	4	1	0	5
Dec 2016	5	4	0	9
Jan 2017	15	7	1	23
Feb 2017	13	3	1	17
Mar 2017	12	18	1	31
Apr 2017	25	16	0	41
May 2017	21	9	0	30
Jun 2017	17	13	1	31
Jul 2017	12	4	0	16
Aug 2017	10	12	0	22
Sep 2017	9	8	1	18
Oct 2017	10	26	0	36
Nov 2017	11	24	0	35
Dec 2017	11	15	0	26
Jan 2018	4	11	0	15
Feb 2018	2	5	0	7
Mar 2018	9	13	1	23
Apr 2018	5	9	0	14
May 2018	6	12	1	19
Jun 2018	8	10	0	18
Jul 2018	5	10	0	15
Aug 2018	13	9	0	22
Sep 2018	5	10	0	15
Oct 2018	8	8	1	17
Nov 2018	9	7	0	16
Dec 2018	10	5	1	16
Jan 2019	6	8	0	14
Feb 2019	5	3	1	9
Mar 2019	4	4	0	8
Apr 2019	8	6	0	14
May 2019	9	6	0	15
Jun 2019	4	3	0	7
Jul 2019	2	5	0	7
Aug 2019	4	8	1	13
Sep 2019	0
Oct 2019	6	3	0	9
Nov 2019	3	4	0	7
Dec 2019	5	1	0	6
Jan 2020	10	2	0	12
Feb 2020	6	6	1	13
Mar 2020	4	4	0	8
Apr 2020	2	5	0	7
May 2020	1	3	0	4
Jun 2020	24	3	0	27
Jul 2020	23	10	5	38
Aug 2020	10	6	5	21
Sep 2020	7	4	0	11
Oct 2020	6	5	1	12
Nov 2020	4	4	1	9
Dec 2020	9	5	0	14
Jan 2021	15	13	0	28
Feb 2021	9	5	0	14
Mar 2021	9	8	0	17
Apr 2021	7	7	0	14
May 2021	7	10	1	18
Jun 2021	15	7	0	22
Jul 2021	8	9	0	17
Aug 2021	6	6	0	12
Sep 2021	10	12	0	22
Oct 2021	13	43	1	57
Nov 2021	7	21	0	28
Dec 2021	11	6	0	17
Jan 2022	9	6	0	15
Feb 2022	9	3	1	13
Mar 2022	6	4	0	10
Apr 2022	8	12	3	23
May 2022	4	10	1	15
Jun 2022	6	1	0	7
Jul 2022	3	6	0	9
Aug 2022	5	4	0	9
Sep 2022	4	7	0	11
Oct 2022	9	1	2	12
Nov 2022	13	5	2	20
Dec 2022	12	9	2	23
Jan 2023	25	17	1	43
Feb 2023	16	13	1	30
Mar 2023	29	21	1	51
Apr 2023	9	51	0	60
May 2023	24	53	0	77
Jun 2023	36	50	1	87
Jul 2023	32	71	0	103
Aug 2023	38	72	4	114
Sep 2023	40	141	0	181
Oct 2023	41	146	1	188
Nov 2023	26	90	1	117
Dec 2023	38	3	2	43
Jan 2024	34	3	0	37
Feb 2024	32	15	0	47
Mar 2024	39	17	1	57
Apr 2024	39	23	3	65
May 2024	12	49	1	62
Jun 2024	7	12	0	19
Jul 2024	11	14	1	26
Aug 2024	20	19	1	40
Sep 2024	7	38	0	45
Oct 2024	16	31	0	47
Nov 2024	10	11	4	25
Dec 2024	12	19	0	31
Jan 2025	19	18	3	40
Feb 2025	21	14	2	37
Mar 2025	20	19	4	43
Apr 2025	10	15	1	26
May 2025	13	12	1	26
Jun 2025	24	11	2	37
Jul 2025	12	19	2	33
Aug 2025	19	23	1	43
Sep 2025	38	17	3	58
Oct 2025	19	27	0	46
Nov 2025	19	19	4	42
Dec 2025	6	6	0	12

Latest update: 06 Dec 2025

A robust calibration approach for PM10 prediction from MODIS aerosol optical depth

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A robust calibration approach for PM₁₀ prediction from MODIS aerosol optical depth