Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument

We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Hayashida, Sachiko [verfasserIn] Kajino, Mizuo [verfasserIn] Deushi, Makoto [verfasserIn] Sekiyama, Tsuyoshi Thomas [verfasserIn] Liu, Xiong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Ozone OMI China Pollution Satellite

Übergeordnetes Werk:	Enthalten in: Atmospheric environment - Amsterdam [u.a.] : Elsevier Science, 1967, 184, Seite 244-253
Übergeordnetes Werk:	volume:184 ; pages:244-253

DOI / URN:	10.1016/j.atmosenv.2018.04.014

Katalog-ID:	ELV005075475

Internformat


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100	1		\|a Hayashida, Sachiko \|e verfasserin \|0 (orcid)0000-0002-2350-9534 \|4 aut
245	1	0	\|a Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument
264		1	\|c 2018
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337			\|a Computermedien \|b c \|2 rdamedia
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520			\|a We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future.
650		4	\|a Ozone
650		4	\|a OMI
650		4	\|a China
650		4	\|a Pollution
650		4	\|a Satellite
700	1		\|a Kajino, Mizuo \|e verfasserin \|4 aut
700	1		\|a Deushi, Makoto \|e verfasserin \|4 aut
700	1		\|a Sekiyama, Tsuyoshi Thomas \|e verfasserin \|4 aut
700	1		\|a Liu, Xiong \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Atmospheric environment \|d Amsterdam [u.a.] : Elsevier Science, 1967 \|g 184, Seite 244-253 \|h Online-Ressource \|w (DE-627)306654113 \|w (DE-600)1499889-0 \|w (DE-576)081984561 \|x 1878-2442 \|7 nnns
773	1	8	\|g volume:184 \|g pages:244-253
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936	b	k	\|a 38.81 \|j Atmosphäre
936	b	k	\|a 43.00 \|j Umweltforschung \|j Umweltschutz: Allgemeines
936	b	k	\|a 30.00 \|j Naturwissenschaften allgemein: Allgemeines
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author_variant	s h sh m k mk m d md t t s tt tts x l xl
matchkey_str	article:18782442:2018----::esnltoteoetoopeiooevrhnosrebtez
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publishDate	2018
allfields	10.1016/j.atmosenv.2018.04.014 doi (DE-627)ELV005075475 (ELSEVIER)S1352-2310(18)30239-5 DE-627 ger DE-627 rda eng 550 690 DE-600 38.81 bkl 43.00 bkl 30.00 bkl Hayashida, Sachiko verfasserin (orcid)0000-0002-2350-9534 aut Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Ozone OMI China Pollution Satellite Kajino, Mizuo verfasserin aut Deushi, Makoto verfasserin aut Sekiyama, Tsuyoshi Thomas verfasserin aut Liu, Xiong verfasserin aut Enthalten in Atmospheric environment Amsterdam [u.a.] : Elsevier Science, 1967 184, Seite 244-253 Online-Ressource (DE-627)306654113 (DE-600)1499889-0 (DE-576)081984561 1878-2442 nnns volume:184 pages:244-253 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.81 Atmosphäre 43.00 Umweltforschung Umweltschutz: Allgemeines 30.00 Naturwissenschaften allgemein: Allgemeines AR 184 244-253
spelling	10.1016/j.atmosenv.2018.04.014 doi (DE-627)ELV005075475 (ELSEVIER)S1352-2310(18)30239-5 DE-627 ger DE-627 rda eng 550 690 DE-600 38.81 bkl 43.00 bkl 30.00 bkl Hayashida, Sachiko verfasserin (orcid)0000-0002-2350-9534 aut Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Ozone OMI China Pollution Satellite Kajino, Mizuo verfasserin aut Deushi, Makoto verfasserin aut Sekiyama, Tsuyoshi Thomas verfasserin aut Liu, Xiong verfasserin aut Enthalten in Atmospheric environment Amsterdam [u.a.] : Elsevier Science, 1967 184, Seite 244-253 Online-Ressource (DE-627)306654113 (DE-600)1499889-0 (DE-576)081984561 1878-2442 nnns volume:184 pages:244-253 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.81 Atmosphäre 43.00 Umweltforschung Umweltschutz: Allgemeines 30.00 Naturwissenschaften allgemein: Allgemeines AR 184 244-253
allfields_unstemmed	10.1016/j.atmosenv.2018.04.014 doi (DE-627)ELV005075475 (ELSEVIER)S1352-2310(18)30239-5 DE-627 ger DE-627 rda eng 550 690 DE-600 38.81 bkl 43.00 bkl 30.00 bkl Hayashida, Sachiko verfasserin (orcid)0000-0002-2350-9534 aut Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Ozone OMI China Pollution Satellite Kajino, Mizuo verfasserin aut Deushi, Makoto verfasserin aut Sekiyama, Tsuyoshi Thomas verfasserin aut Liu, Xiong verfasserin aut Enthalten in Atmospheric environment Amsterdam [u.a.] : Elsevier Science, 1967 184, Seite 244-253 Online-Ressource (DE-627)306654113 (DE-600)1499889-0 (DE-576)081984561 1878-2442 nnns volume:184 pages:244-253 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.81 Atmosphäre 43.00 Umweltforschung Umweltschutz: Allgemeines 30.00 Naturwissenschaften allgemein: Allgemeines AR 184 244-253
allfieldsGer	10.1016/j.atmosenv.2018.04.014 doi (DE-627)ELV005075475 (ELSEVIER)S1352-2310(18)30239-5 DE-627 ger DE-627 rda eng 550 690 DE-600 38.81 bkl 43.00 bkl 30.00 bkl Hayashida, Sachiko verfasserin (orcid)0000-0002-2350-9534 aut Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Ozone OMI China Pollution Satellite Kajino, Mizuo verfasserin aut Deushi, Makoto verfasserin aut Sekiyama, Tsuyoshi Thomas verfasserin aut Liu, Xiong verfasserin aut Enthalten in Atmospheric environment Amsterdam [u.a.] : Elsevier Science, 1967 184, Seite 244-253 Online-Ressource (DE-627)306654113 (DE-600)1499889-0 (DE-576)081984561 1878-2442 nnns volume:184 pages:244-253 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.81 Atmosphäre 43.00 Umweltforschung Umweltschutz: Allgemeines 30.00 Naturwissenschaften allgemein: Allgemeines AR 184 244-253
allfieldsSound	10.1016/j.atmosenv.2018.04.014 doi (DE-627)ELV005075475 (ELSEVIER)S1352-2310(18)30239-5 DE-627 ger DE-627 rda eng 550 690 DE-600 38.81 bkl 43.00 bkl 30.00 bkl Hayashida, Sachiko verfasserin (orcid)0000-0002-2350-9534 aut Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future. Ozone OMI China Pollution Satellite Kajino, Mizuo verfasserin aut Deushi, Makoto verfasserin aut Sekiyama, Tsuyoshi Thomas verfasserin aut Liu, Xiong verfasserin aut Enthalten in Atmospheric environment Amsterdam [u.a.] : Elsevier Science, 1967 184, Seite 244-253 Online-Ressource (DE-627)306654113 (DE-600)1499889-0 (DE-576)081984561 1878-2442 nnns volume:184 pages:244-253 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.81 Atmosphäre 43.00 Umweltforschung Umweltschutz: Allgemeines 30.00 Naturwissenschaften allgemein: Allgemeines AR 184 244-253
language	English
source	Enthalten in Atmospheric environment 184, Seite 244-253 volume:184 pages:244-253
sourceStr	Enthalten in Atmospheric environment 184, Seite 244-253 volume:184 pages:244-253
format_phy_str_mv	Article
bklname	Atmosphäre Umweltforschung Umweltschutz: Allgemeines Naturwissenschaften allgemein: Allgemeines
institution	findex.gbv.de
topic_facet	Ozone OMI China Pollution Satellite
dewey-raw	550
isfreeaccess_bool	false
container_title	Atmospheric environment
authorswithroles_txt_mv	Hayashida, Sachiko @@aut@@ Kajino, Mizuo @@aut@@ Deushi, Makoto @@aut@@ Sekiyama, Tsuyoshi Thomas @@aut@@ Liu, Xiong @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	306654113
dewey-sort	3550
id	ELV005075475
language_de	englisch
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Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. 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author	Hayashida, Sachiko
spellingShingle	Hayashida, Sachiko ddc 550 bkl 38.81 bkl 43.00 bkl 30.00 misc Ozone misc OMI misc China misc Pollution misc Satellite Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument
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topic	ddc 550 bkl 38.81 bkl 43.00 bkl 30.00 misc Ozone misc OMI misc China misc Pollution misc Satellite
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title	Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument
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title_full	Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument
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author_browse	Hayashida, Sachiko Kajino, Mizuo Deushi, Makoto Sekiyama, Tsuyoshi Thomas Liu, Xiong
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title_sort	seasonality of the lower tropospheric ozone over china observed by the ozone monitoring instrument
title_auth	Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument
abstract	We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future.
abstractGer	We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future.
abstract_unstemmed	We analyzed the ozone (O3) profile product (PROFOZ) derived from Ozone Monitoring Instrument(OMI) ultraviolet (UV) spectra to reveal spatial and temporal variations in O3 distributions over China. Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future.
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title_short	Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument
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author2	Kajino, Mizuo Deushi, Makoto Sekiyama, Tsuyoshi Thomas Liu, Xiong
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doi_str	10.1016/j.atmosenv.2018.04.014
up_date	2024-07-06T16:44:13.017Z
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Although discriminating vertical O3 in the lower troposphere is a challenge for satellite-borne measurements, previous research has confirmed the reliability of the lowermost layer O3 of the PROFOZ product, corresponding to 0–3 km, under the high O3 condition over China by comparison with the airborne measurements. In the present study, we focus on the seasonal variation of O3 obtained in the lowermost layer over China. We track the O3 enhancement under polluted conditions by using the ozone anomaly (ΔO3), defined as the difference between the retrieval values and a priori values, because our focus is the temporally high O3 level compared with the background level. We divide the 25–40° N and 100–135° E region into clusters according to the similarity of the seasonal variation in ΔO3 at the lowermost layer corresponding to approximately 0–3 km in altitude. Using this cluster analysis, we distinguish the areas in which ΔO3 has outstanding seasonality with high values in summer, particularly in June, and low values in winter over the North China Plain and Sichuan basin. The areas with these anomalous ΔO3 values correspond to high NO2 emission areas. We compare the results with model simulations from the Meteorological Research Institute–Chemistry Climate Model (MRI-CCM2) and meteorological data. The areas showing outstanding seasonality also correspond to those of high chemical production rates in June. Along the coastal area, ΔO3 values tend to drop to negative in August, which can be attributed to the inflow of clean oceanic air to inland regions. The results presented here again demonstrate the reliability of the lower tropospheric O3 data from the OMI PROFOZ product and suggest good capability of UV satellite sensors for monitoring O3 pollution that will be launched in the near future.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ozone</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">OMI</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">China</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pollution</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Satellite</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kajino, Mizuo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Deushi, Makoto</subfield><subfield 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Seasonality of the lower tropospheric ozone over China observed by the Ozone Monitoring Instrument

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