Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations

Figure S1. Seasonal mean pattern of 850-hPa wind field from NCEP-NCAR reanalysis data for (a) September-October-November (SON), (b) December-January-February (DJF), (c) March-April-May (MAM), and (d) June-July-August (JJA). Figure S2. The location of the King Sejong, Belgrano, Neumayer, Syowa, Davis...

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Main Authors: Dha Ahn, Taejin Choi, Jhoon Kim, Park, Sang, Lee, Yun, Seong-Joong Kim, Ja-Ho Koo
Format: Text
Language:unknown
Published: figshare 2019
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Online Access:https://dx.doi.org/10.6084/m9.figshare.7961567.v1
https://springernature.figshare.com/articles/Additional_file_1_of_Southern_Hemisphere_mid-_and_high-latitudinal_AOD_CO_NO2_and_HCHO_spatiotemporal_patterns_revealed_by_satellite_observations/7961567/1
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spelling ftdatacite:10.6084/m9.figshare.7961567.v1 2023-05-15T14:04:34+02:00 Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations Dha Ahn Taejin Choi Jhoon Kim Park, Sang Lee, Yun Seong-Joong Kim Ja-Ho Koo 2019 https://dx.doi.org/10.6084/m9.figshare.7961567.v1 https://springernature.figshare.com/articles/Additional_file_1_of_Southern_Hemisphere_mid-_and_high-latitudinal_AOD_CO_NO2_and_HCHO_spatiotemporal_patterns_revealed_by_satellite_observations/7961567/1 unknown figshare https://dx.doi.org/10.1186/s40645-019-0277-y https://dx.doi.org/10.6084/m9.figshare.7961567 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences Inorganic Chemistry FOS Chemical sciences 110309 Infectious Diseases FOS Health sciences Plant Biology Text article-journal Journal contribution ScholarlyArticle 2019 ftdatacite https://doi.org/10.6084/m9.figshare.7961567.v1 https://doi.org/10.1186/s40645-019-0277-y https://doi.org/10.6084/m9.figshare.7961567 2021-11-05T12:55:41Z Figure S1. Seasonal mean pattern of 850-hPa wind field from NCEP-NCAR reanalysis data for (a) September-October-November (SON), (b) December-January-February (DJF), (c) March-April-May (MAM), and (d) June-July-August (JJA). Figure S2. The location of the King Sejong, Belgrano, Neumayer, Syowa, Davis, and Jangbogo stations around Antarctica. Figure S3. Monthly mean height variation of 10-day back trajectories arrived at 5 stations: For cases when back-trajectories come from the higher latitudes than the arrival site. Calculations for 2005-2016 were used. Figure S4. Same as Figure S3, but for cases when back-trajectories come from the lower latitudes than the arrival site. Table S1. Trends and their uncertainties of deseasonalized anomaly of AOD from 2005 to 2016. The regions having a significant trend are colored red (95% confidence level) or purple (90% confidence level). Table S2. As Table S1., but for CO. Table S3. As Table S1., but for NO2. Table S4. As Table S1., but for HCHO. Figure S5. Same as Fig. 6, but for the region (pixel) over 30-35°S in latitude and 22.5-67.5°W in longitude from 2005 to 2016. An example of time-series analysis at each pixel that we divided. Figure S6. Annual variation of seasonal mean wind speed for the region over 40-60°S in latitude and 22.5°W-22.5°E to explain the increasing trend of AOD in this region. Figure S7. Temporal variation of total fire counts (2005-2016) over South America (black), Africa (orange), and Australia (blue). (PDF 2090 kb) Text Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Neumayer Belgrano ENVELOPE(-64.967,-64.967,-65.150,-65.150)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
110309 Infectious Diseases
FOS Health sciences
Plant Biology
spellingShingle 59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
110309 Infectious Diseases
FOS Health sciences
Plant Biology
Dha Ahn
Taejin Choi
Jhoon Kim
Park, Sang
Lee, Yun
Seong-Joong Kim
Ja-Ho Koo
Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations
topic_facet 59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
110309 Infectious Diseases
FOS Health sciences
Plant Biology
description Figure S1. Seasonal mean pattern of 850-hPa wind field from NCEP-NCAR reanalysis data for (a) September-October-November (SON), (b) December-January-February (DJF), (c) March-April-May (MAM), and (d) June-July-August (JJA). Figure S2. The location of the King Sejong, Belgrano, Neumayer, Syowa, Davis, and Jangbogo stations around Antarctica. Figure S3. Monthly mean height variation of 10-day back trajectories arrived at 5 stations: For cases when back-trajectories come from the higher latitudes than the arrival site. Calculations for 2005-2016 were used. Figure S4. Same as Figure S3, but for cases when back-trajectories come from the lower latitudes than the arrival site. Table S1. Trends and their uncertainties of deseasonalized anomaly of AOD from 2005 to 2016. The regions having a significant trend are colored red (95% confidence level) or purple (90% confidence level). Table S2. As Table S1., but for CO. Table S3. As Table S1., but for NO2. Table S4. As Table S1., but for HCHO. Figure S5. Same as Fig. 6, but for the region (pixel) over 30-35°S in latitude and 22.5-67.5°W in longitude from 2005 to 2016. An example of time-series analysis at each pixel that we divided. Figure S6. Annual variation of seasonal mean wind speed for the region over 40-60°S in latitude and 22.5°W-22.5°E to explain the increasing trend of AOD in this region. Figure S7. Temporal variation of total fire counts (2005-2016) over South America (black), Africa (orange), and Australia (blue). (PDF 2090 kb)
format Text
author Dha Ahn
Taejin Choi
Jhoon Kim
Park, Sang
Lee, Yun
Seong-Joong Kim
Ja-Ho Koo
author_facet Dha Ahn
Taejin Choi
Jhoon Kim
Park, Sang
Lee, Yun
Seong-Joong Kim
Ja-Ho Koo
author_sort Dha Ahn
title Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations
title_short Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations
title_full Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations
title_fullStr Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations
title_full_unstemmed Additional file 1: of Southern Hemisphere mid- and high-latitudinal AOD, CO, NO2, and HCHO: spatiotemporal patterns revealed by satellite observations
title_sort additional file 1: of southern hemisphere mid- and high-latitudinal aod, co, no2, and hcho: spatiotemporal patterns revealed by satellite observations
publisher figshare
publishDate 2019
url https://dx.doi.org/10.6084/m9.figshare.7961567.v1
https://springernature.figshare.com/articles/Additional_file_1_of_Southern_Hemisphere_mid-_and_high-latitudinal_AOD_CO_NO2_and_HCHO_spatiotemporal_patterns_revealed_by_satellite_observations/7961567/1
long_lat ENVELOPE(-64.967,-64.967,-65.150,-65.150)
geographic Neumayer
Belgrano
geographic_facet Neumayer
Belgrano
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://dx.doi.org/10.1186/s40645-019-0277-y
https://dx.doi.org/10.6084/m9.figshare.7961567
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.7961567.v1
https://doi.org/10.1186/s40645-019-0277-y
https://doi.org/10.6084/m9.figshare.7961567
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