Eintrag weiter verarbeiten
A statistical model for latitudinal correlations of satellite data
Gespeichert in:
| Zeitschriftentitel: | Journal of Geophysical Research: Atmospheres |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Journal of Geophysical Research: Atmospheres, 107, 2002, D16 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
|
| Schlagwörter: |
| author_facet |
Choi, Dongseok Tiao, George C. Stein, Michael L. Choi, Dongseok Tiao, George C. Stein, Michael L. |
|---|---|
| author |
Choi, Dongseok Tiao, George C. Stein, Michael L. |
| spellingShingle |
Choi, Dongseok Tiao, George C. Stein, Michael L. Journal of Geophysical Research: Atmospheres A statistical model for latitudinal correlations of satellite data Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| author_sort |
choi, dongseok |
| spelling |
Choi, Dongseok Tiao, George C. Stein, Michael L. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2000jd000246 <jats:p>A new class of models is developed to represent the latitudinal correlation patterns of satellite‐based measurements of ozone and temperature. We employ the monthly average series for each 5‐degree latitudinal zone of the TOMS data from the Nimbus 7 satellite over 14 years from November 1978 to November 1992. For each latitudinal zone a temporal regression model that includes systematic seasonal variations, possible long‐term trends, solar radio flux effect, and time dependency is fitted separately by maximum likelihood. From the residuals at all latitudinal zones, we observe strong contemporaneous latitudinal correlations, which decay at different rates depending on latitudes and become negative at moderate distances. A three‐component model with two associated weight functions is developed that can represent the main features of the concurrent spatial correlations of the residuals. We use low‐order ARMA models as components. A similar analysis is done on the latitudinal correlations of the residuals from the monthly average series of Climate Prediction Center temperature data at 30 mbar from January 1979 to December 1993. The new class of models can be applied to other remotely sensed geophysical data sets whose covariance structures exhibit similar patterns.</jats:p> A statistical model for latitudinal correlations of satellite data Journal of Geophysical Research: Atmospheres |
| doi_str_mv |
10.1029/2000jd000246 |
| facet_avail |
Online Free |
| finc_class_facet |
Allgemeine Naturwissenschaft Physik Technik Geologie und Paläontologie Geographie Chemie und Pharmazie Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft Biologie |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDAwamQwMDAyNDY |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDAwamQwMDAyNDY |
| institution |
DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 DE-Zi4 DE-Gla1 DE-15 DE-Pl11 DE-Rs1 DE-14 DE-105 DE-Ch1 DE-L229 |
| imprint |
American Geophysical Union (AGU), 2002 |
| imprint_str_mv |
American Geophysical Union (AGU), 2002 |
| issn |
0148-0227 |
| issn_str_mv |
0148-0227 |
| language |
English |
| mega_collection |
American Geophysical Union (AGU) (CrossRef) |
| match_str |
choi2002astatisticalmodelforlatitudinalcorrelationsofsatellitedata |
| publishDateSort |
2002 |
| publisher |
American Geophysical Union (AGU) |
| recordtype |
ai |
| record_format |
ai |
| series |
Journal of Geophysical Research: Atmospheres |
| source_id |
49 |
| title |
A statistical model for latitudinal correlations of satellite data |
| title_unstemmed |
A statistical model for latitudinal correlations of satellite data |
| title_full |
A statistical model for latitudinal correlations of satellite data |
| title_fullStr |
A statistical model for latitudinal correlations of satellite data |
| title_full_unstemmed |
A statistical model for latitudinal correlations of satellite data |
| title_short |
A statistical model for latitudinal correlations of satellite data |
| title_sort |
a statistical model for latitudinal correlations of satellite data |
| topic |
Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| url |
http://dx.doi.org/10.1029/2000jd000246 |
| publishDate |
2002 |
| physical |
|
| description |
<jats:p>A new class of models is developed to represent the latitudinal correlation patterns of satellite‐based measurements of ozone and temperature. We employ the monthly average series for each 5‐degree latitudinal zone of the TOMS data from the Nimbus 7 satellite over 14 years from November 1978 to November 1992. For each latitudinal zone a temporal regression model that includes systematic seasonal variations, possible long‐term trends, solar radio flux effect, and time dependency is fitted separately by maximum likelihood. From the residuals at all latitudinal zones, we observe strong contemporaneous latitudinal correlations, which decay at different rates depending on latitudes and become negative at moderate distances. A three‐component model with two associated weight functions is developed that can represent the main features of the concurrent spatial correlations of the residuals. We use low‐order ARMA models as components. A similar analysis is done on the latitudinal correlations of the residuals from the monthly average series of Climate Prediction Center temperature data at 30 mbar from January 1979 to December 1993. The new class of models can be applied to other remotely sensed geophysical data sets whose covariance structures exhibit similar patterns.</jats:p> |
| container_issue |
D16 |
| container_start_page |
0 |
| container_title |
Journal of Geophysical Research: Atmospheres |
| container_volume |
107 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792336336912384006 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T14:58:25.81Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=A+statistical+model+for+latitudinal+correlations+of+satellite+data&rft.date=2002-08-27&genre=article&issn=0148-0227&volume=107&issue=D16&jtitle=Journal+of+Geophysical+Research%3A+Atmospheres&atitle=A+statistical+model+for+latitudinal+correlations+of+satellite+data&aulast=Stein&aufirst=Michael+L.&rft_id=info%3Adoi%2F10.1029%2F2000jd000246&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792336336912384006 |
| author | Choi, Dongseok, Tiao, George C., Stein, Michael L. |
| author_facet | Choi, Dongseok, Tiao, George C., Stein, Michael L., Choi, Dongseok, Tiao, George C., Stein, Michael L. |
| author_sort | choi, dongseok |
| container_issue | D16 |
| container_start_page | 0 |
| container_title | Journal of Geophysical Research: Atmospheres |
| container_volume | 107 |
| description | <jats:p>A new class of models is developed to represent the latitudinal correlation patterns of satellite‐based measurements of ozone and temperature. We employ the monthly average series for each 5‐degree latitudinal zone of the TOMS data from the Nimbus 7 satellite over 14 years from November 1978 to November 1992. For each latitudinal zone a temporal regression model that includes systematic seasonal variations, possible long‐term trends, solar radio flux effect, and time dependency is fitted separately by maximum likelihood. From the residuals at all latitudinal zones, we observe strong contemporaneous latitudinal correlations, which decay at different rates depending on latitudes and become negative at moderate distances. A three‐component model with two associated weight functions is developed that can represent the main features of the concurrent spatial correlations of the residuals. We use low‐order ARMA models as components. A similar analysis is done on the latitudinal correlations of the residuals from the monthly average series of Climate Prediction Center temperature data at 30 mbar from January 1979 to December 1993. The new class of models can be applied to other remotely sensed geophysical data sets whose covariance structures exhibit similar patterns.</jats:p> |
| doi_str_mv | 10.1029/2000jd000246 |
| facet_avail | Online, Free |
| finc_class_facet | Allgemeine Naturwissenschaft, Physik, Technik, Geologie und Paläontologie, Geographie, Chemie und Pharmazie, Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft, Biologie |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDAwamQwMDAyNDY |
| imprint | American Geophysical Union (AGU), 2002 |
| imprint_str_mv | American Geophysical Union (AGU), 2002 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229 |
| issn | 0148-0227 |
| issn_str_mv | 0148-0227 |
| language | English |
| last_indexed | 2024-03-01T14:58:25.81Z |
| match_str | choi2002astatisticalmodelforlatitudinalcorrelationsofsatellitedata |
| mega_collection | American Geophysical Union (AGU) (CrossRef) |
| physical | |
| publishDate | 2002 |
| publishDateSort | 2002 |
| publisher | American Geophysical Union (AGU) |
| record_format | ai |
| recordtype | ai |
| series | Journal of Geophysical Research: Atmospheres |
| source_id | 49 |
| spelling | Choi, Dongseok Tiao, George C. Stein, Michael L. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2000jd000246 <jats:p>A new class of models is developed to represent the latitudinal correlation patterns of satellite‐based measurements of ozone and temperature. We employ the monthly average series for each 5‐degree latitudinal zone of the TOMS data from the Nimbus 7 satellite over 14 years from November 1978 to November 1992. For each latitudinal zone a temporal regression model that includes systematic seasonal variations, possible long‐term trends, solar radio flux effect, and time dependency is fitted separately by maximum likelihood. From the residuals at all latitudinal zones, we observe strong contemporaneous latitudinal correlations, which decay at different rates depending on latitudes and become negative at moderate distances. A three‐component model with two associated weight functions is developed that can represent the main features of the concurrent spatial correlations of the residuals. We use low‐order ARMA models as components. A similar analysis is done on the latitudinal correlations of the residuals from the monthly average series of Climate Prediction Center temperature data at 30 mbar from January 1979 to December 1993. The new class of models can be applied to other remotely sensed geophysical data sets whose covariance structures exhibit similar patterns.</jats:p> A statistical model for latitudinal correlations of satellite data Journal of Geophysical Research: Atmospheres |
| spellingShingle | Choi, Dongseok, Tiao, George C., Stein, Michael L., Journal of Geophysical Research: Atmospheres, A statistical model for latitudinal correlations of satellite data, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| title | A statistical model for latitudinal correlations of satellite data |
| title_full | A statistical model for latitudinal correlations of satellite data |
| title_fullStr | A statistical model for latitudinal correlations of satellite data |
| title_full_unstemmed | A statistical model for latitudinal correlations of satellite data |
| title_short | A statistical model for latitudinal correlations of satellite data |
| title_sort | a statistical model for latitudinal correlations of satellite data |
| title_unstemmed | A statistical model for latitudinal correlations of satellite data |
| topic | Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| url | http://dx.doi.org/10.1029/2000jd000246 |