Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data
The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere...
Ausführliche Beschreibung
Autor*in: |
Badawy, Bakr - 1977- [verfasserIn] |
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Körperschaften: |
Friedrich-Schiller-Universität Jena [Grad-verleihende Institution] |
Hochschulschrift: |
Dissertation ; Friedrich-Schiller-Universität Jena ; 2011 |
Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Jena: 2011 |
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Schlagwörter: |
Ökologische Stabilität / Kohlenstoffkreislauf / Anthropogener Einfluss / Klimaanomalie |
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Formangabe: |
Hochschulschrift |
Umfang: |
1 Online-Ressource (149 Seiten) ; Illustrationen, Diagramme |
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Weitere Ausgabe: |
Erscheint auch als Druck-Ausgabe Badawy, Bakr, 1977 -: Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data - Jena, 2011 |
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Links: |
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DOI / URN: |
urn:nbn:de:gbv:27-20110616-103343-9 |
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Katalog-ID: |
662308174 |
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Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. Zsfassung in dt. 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11,O11 dnb 1016391447 DE-101 urn:nbn:de:gbv:27-20110616-103343-9 urn (DE-627)662308174 (DE-599)GBV662308174 (OCoLC)759810063 DE-627 ger DE-627 rda eng XA-DE 570 SEPA 550 a DNB 43.47 bkl 38.82 bkl 38.95 bkl Badawy, Bakr 1977- verfasserin (DE-588)1174709545 (DE-627)1045532509 (DE-576)515905879 aut Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data vorgelegt von Bakr Badawy Jena 2011 1 Online-Ressource (149 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. Zsfassung in dt. Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4205735-8 (DE-627)10513337X (DE-576)210170727 Ökologische Stabilität gnd s (DE-588)4164552-2 (DE-627)105446637 (DE-576)209889225 Kohlenstoffkreislauf gnd s (DE-588)4327906-5 (DE-627)131526952 (DE-576)21128517X Anthropogener Einfluss gnd s (DE-588)4209640-6 (DE-627)105102733 (DE-576)210193239 Klimaanomalie gnd (DE-627) Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Badawy, Bakr, 1977 - Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data Jena, 2011 VIII, 136 Seiten (DE-627)657124397 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 Resolving-System Volltext http://d-nb.info/1016391447/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=18544 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 43.47 Globale Umweltprobleme (DE-627)106416790 38.82 Klimatologie (DE-627)106421891 38.95 Umweltgeologie Geoökologie (DE-627)18157117X BO 045F 570 20 01 0084 1291671099 x 08-02-12 21 01 0046 1317671139 z 11-08-12 22 01 0018 131779351X SUBolrd xu 11-08-12 23 01 0830 1317894901 olr-d x 11-08-12 30 01 0104 1317953797 z 11-08-12 31 01 0027 1252210841 z 07-04-09 40 01 0007 1318006872 xsn 11-08-12 60 01 0705 1318114861 OLRD z 11-08-12 63 01 3401 1595730575 ORD x 21-01-16 65 01 0003 4166140752 GBV-ODiss Open Access z 14-07-22 70 01 0089 1318283256 OA z 26-07-13 105 01 0841 1596543698 z 21-01-16 110 01 3110 1318221234 x 11-08-12 132 01 0959 1498054390 OLR-DISS x 12-08-14 151 01 0546 3594146022 OLR-ODISS z 13-02-20 161 01 0960 1597508438 ORD x 28-01-16 213 01 0551 4089635128 ORD x 15-03-22 293 01 3293 1597964123 ORD xf 28-01-16 370 01 4370 1318275849 x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 70 01 0089 http://edok01.tib.uni-hannover.de/edoks/e01dd13/662308174.pdf OA 70 01 0089 Leseprobe http://edok01.tib.uni-hannover.de/edoks/e01dd13/662308174l.pdf OA 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45 |
allfields_unstemmed |
11,O11 dnb 1016391447 DE-101 urn:nbn:de:gbv:27-20110616-103343-9 urn (DE-627)662308174 (DE-599)GBV662308174 (OCoLC)759810063 DE-627 ger DE-627 rda eng XA-DE 570 SEPA 550 a DNB 43.47 bkl 38.82 bkl 38.95 bkl Badawy, Bakr 1977- verfasserin (DE-588)1174709545 (DE-627)1045532509 (DE-576)515905879 aut Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data vorgelegt von Bakr Badawy Jena 2011 1 Online-Ressource (149 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. Zsfassung in dt. Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4205735-8 (DE-627)10513337X (DE-576)210170727 Ökologische Stabilität gnd s (DE-588)4164552-2 (DE-627)105446637 (DE-576)209889225 Kohlenstoffkreislauf gnd s (DE-588)4327906-5 (DE-627)131526952 (DE-576)21128517X Anthropogener Einfluss gnd s (DE-588)4209640-6 (DE-627)105102733 (DE-576)210193239 Klimaanomalie gnd (DE-627) Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Badawy, Bakr, 1977 - Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data Jena, 2011 VIII, 136 Seiten (DE-627)657124397 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 Resolving-System Volltext http://d-nb.info/1016391447/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=18544 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 43.47 Globale Umweltprobleme (DE-627)106416790 38.82 Klimatologie (DE-627)106421891 38.95 Umweltgeologie Geoökologie (DE-627)18157117X BO 045F 570 20 01 0084 1291671099 x 08-02-12 21 01 0046 1317671139 z 11-08-12 22 01 0018 131779351X SUBolrd xu 11-08-12 23 01 0830 1317894901 olr-d x 11-08-12 30 01 0104 1317953797 z 11-08-12 31 01 0027 1252210841 z 07-04-09 40 01 0007 1318006872 xsn 11-08-12 60 01 0705 1318114861 OLRD z 11-08-12 63 01 3401 1595730575 ORD x 21-01-16 65 01 0003 4166140752 GBV-ODiss Open Access z 14-07-22 70 01 0089 1318283256 OA z 26-07-13 105 01 0841 1596543698 z 21-01-16 110 01 3110 1318221234 x 11-08-12 132 01 0959 1498054390 OLR-DISS x 12-08-14 151 01 0546 3594146022 OLR-ODISS z 13-02-20 161 01 0960 1597508438 ORD x 28-01-16 213 01 0551 4089635128 ORD x 15-03-22 293 01 3293 1597964123 ORD xf 28-01-16 370 01 4370 1318275849 x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 70 01 0089 http://edok01.tib.uni-hannover.de/edoks/e01dd13/662308174.pdf OA 70 01 0089 Leseprobe http://edok01.tib.uni-hannover.de/edoks/e01dd13/662308174l.pdf OA 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45 |
allfieldsGer |
11,O11 dnb 1016391447 DE-101 urn:nbn:de:gbv:27-20110616-103343-9 urn (DE-627)662308174 (DE-599)GBV662308174 (OCoLC)759810063 DE-627 ger DE-627 rda eng XA-DE 570 SEPA 550 a DNB 43.47 bkl 38.82 bkl 38.95 bkl Badawy, Bakr 1977- verfasserin (DE-588)1174709545 (DE-627)1045532509 (DE-576)515905879 aut Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data vorgelegt von Bakr Badawy Jena 2011 1 Online-Ressource (149 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. Zsfassung in dt. Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4205735-8 (DE-627)10513337X (DE-576)210170727 Ökologische Stabilität gnd s (DE-588)4164552-2 (DE-627)105446637 (DE-576)209889225 Kohlenstoffkreislauf gnd s (DE-588)4327906-5 (DE-627)131526952 (DE-576)21128517X Anthropogener Einfluss gnd s (DE-588)4209640-6 (DE-627)105102733 (DE-576)210193239 Klimaanomalie gnd (DE-627) Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Badawy, Bakr, 1977 - Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data Jena, 2011 VIII, 136 Seiten (DE-627)657124397 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 Resolving-System Volltext http://d-nb.info/1016391447/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=18544 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 43.47 Globale Umweltprobleme (DE-627)106416790 38.82 Klimatologie (DE-627)106421891 38.95 Umweltgeologie Geoökologie (DE-627)18157117X BO 045F 570 20 01 0084 1291671099 x 08-02-12 21 01 0046 1317671139 z 11-08-12 22 01 0018 131779351X SUBolrd xu 11-08-12 23 01 0830 1317894901 olr-d x 11-08-12 30 01 0104 1317953797 z 11-08-12 31 01 0027 1252210841 z 07-04-09 40 01 0007 1318006872 xsn 11-08-12 60 01 0705 1318114861 OLRD z 11-08-12 63 01 3401 1595730575 ORD x 21-01-16 65 01 0003 4166140752 GBV-ODiss Open Access z 14-07-22 70 01 0089 1318283256 OA z 26-07-13 105 01 0841 1596543698 z 21-01-16 110 01 3110 1318221234 x 11-08-12 132 01 0959 1498054390 OLR-DISS x 12-08-14 151 01 0546 3594146022 OLR-ODISS z 13-02-20 161 01 0960 1597508438 ORD x 28-01-16 213 01 0551 4089635128 ORD x 15-03-22 293 01 3293 1597964123 ORD xf 28-01-16 370 01 4370 1318275849 x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 70 01 0089 http://edok01.tib.uni-hannover.de/edoks/e01dd13/662308174.pdf OA 70 01 0089 Leseprobe http://edok01.tib.uni-hannover.de/edoks/e01dd13/662308174l.pdf OA 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45 |
allfieldsSound |
11,O11 dnb 1016391447 DE-101 urn:nbn:de:gbv:27-20110616-103343-9 urn (DE-627)662308174 (DE-599)GBV662308174 (OCoLC)759810063 DE-627 ger DE-627 rda eng XA-DE 570 SEPA 550 a DNB 43.47 bkl 38.82 bkl 38.95 bkl Badawy, Bakr 1977- verfasserin (DE-588)1174709545 (DE-627)1045532509 (DE-576)515905879 aut Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data vorgelegt von Bakr Badawy Jena 2011 1 Online-Ressource (149 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. Zsfassung in dt. 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Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data |
abstract |
The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. |
abstractGer |
The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. |
abstract_unstemmed |
The role of land ecosystems as sources or sinks of carbon in response to human perturbation is not well understood given the spatial heterogeneity and the temporal variability of the biospheric CO2 exchange (Ciais et al., 2000). Therefore, understanding and quantifying the role of the land biosphere in the global carbon budget is necessary, particularly the response and feedback of carbon to climatic controls. Atmospheric CO2 measurements have played a key role in assessing source/sink distributions on global scales using atmospheric CO2 inversions (top-down approach) (e.g. Enting et al. (1995); Kaminski et al. (2002); Bousquet et al. (2000); Rödenbeck et al. (2003); Baker et al. (2006)). Process-based models (bottom-up approaches) of carbon are also useful tools for exploring the underlying processes involved in the uptake and release of carbon in the terrestrial biosphere. These methods on their own are unlikely to provide enough information to fully understand the biological processes driving the uptake and release of atmospheric CO2. Therefore, within this thesis, we developed a modeling framework that couples bottom-up and top-down approaches and uses different data constraints (atmospheric CO2 concentrations, satellite-driven data, and climate data) in order to quantify the carbon sources and sinks of the terrestrial biosphere. This allows us to better understand the underlying processes by optimizing some internal key parameters of the biosphere model in order to the observed CO2 concentrations. |
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title_short |
Quantifying carbon processes of the terrestrial biophere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data |
url |
http://nbn-resolving.de/urn:nbn:de:gbv:27-20110616-103343-9 http://d-nb.info/1016391447/34 https://www.db-thueringen.de/servlets/DocumentServlet?id=18544 |
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GND_txt_mv |
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