Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates
Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Proto...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nahorski, Zbigniew [verfasserIn] Jȩda, Waldemar [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Water, air & soil pollution - Dordrecht [u.a.] : Springer Science + Business Media B.V, 2001, 7(2007), 4-5 vom: 03. Feb., Seite 513-527 |
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| Übergeordnetes Werk: |
volume:7 ; year:2007 ; number:4-5 ; day:03 ; month:02 ; pages:513-527 |
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| DOI / URN: |
10.1007/s11267-006-9114-6 |
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SPR018349544 |
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| 520 | |a Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. | ||
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10.1007/s11267-006-9114-6 doi (DE-627)SPR018349544 (SPR)s11267-006-9114-6-e DE-627 ger DE-627 rakwb eng 333.7 ASE 43.50 bkl Nahorski, Zbigniew verfasserin aut Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. modelling CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 nonparametric methods (dpeaa)DE-He213 parametric methods (dpeaa)DE-He213 geometric Brownian motion (dpeaa)DE-He213 estimation of variance (dpeaa)DE-He213 Jȩda, Waldemar verfasserin aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 2001 7(2007), 4-5 vom: 03. Feb., Seite 513-527 (DE-627)325295867 (DE-600)2035213-X 1573-2940 nnns volume:7 year:2007 number:4-5 day:03 month:02 pages:513-527 https://dx.doi.org/10.1007/s11267-006-9114-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 GBV_ILN_95 GBV_ILN_285 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 43.50 ASE AR 7 2007 4-5 03 02 513-527 |
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10.1007/s11267-006-9114-6 doi (DE-627)SPR018349544 (SPR)s11267-006-9114-6-e DE-627 ger DE-627 rakwb eng 333.7 ASE 43.50 bkl Nahorski, Zbigniew verfasserin aut Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. modelling CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 nonparametric methods (dpeaa)DE-He213 parametric methods (dpeaa)DE-He213 geometric Brownian motion (dpeaa)DE-He213 estimation of variance (dpeaa)DE-He213 Jȩda, Waldemar verfasserin aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 2001 7(2007), 4-5 vom: 03. Feb., Seite 513-527 (DE-627)325295867 (DE-600)2035213-X 1573-2940 nnns volume:7 year:2007 number:4-5 day:03 month:02 pages:513-527 https://dx.doi.org/10.1007/s11267-006-9114-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 GBV_ILN_95 GBV_ILN_285 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 43.50 ASE AR 7 2007 4-5 03 02 513-527 |
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10.1007/s11267-006-9114-6 doi (DE-627)SPR018349544 (SPR)s11267-006-9114-6-e DE-627 ger DE-627 rakwb eng 333.7 ASE 43.50 bkl Nahorski, Zbigniew verfasserin aut Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. modelling CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 nonparametric methods (dpeaa)DE-He213 parametric methods (dpeaa)DE-He213 geometric Brownian motion (dpeaa)DE-He213 estimation of variance (dpeaa)DE-He213 Jȩda, Waldemar verfasserin aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 2001 7(2007), 4-5 vom: 03. Feb., Seite 513-527 (DE-627)325295867 (DE-600)2035213-X 1573-2940 nnns volume:7 year:2007 number:4-5 day:03 month:02 pages:513-527 https://dx.doi.org/10.1007/s11267-006-9114-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 GBV_ILN_95 GBV_ILN_285 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 43.50 ASE AR 7 2007 4-5 03 02 513-527 |
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10.1007/s11267-006-9114-6 doi (DE-627)SPR018349544 (SPR)s11267-006-9114-6-e DE-627 ger DE-627 rakwb eng 333.7 ASE 43.50 bkl Nahorski, Zbigniew verfasserin aut Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. modelling CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 nonparametric methods (dpeaa)DE-He213 parametric methods (dpeaa)DE-He213 geometric Brownian motion (dpeaa)DE-He213 estimation of variance (dpeaa)DE-He213 Jȩda, Waldemar verfasserin aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 2001 7(2007), 4-5 vom: 03. Feb., Seite 513-527 (DE-627)325295867 (DE-600)2035213-X 1573-2940 nnns volume:7 year:2007 number:4-5 day:03 month:02 pages:513-527 https://dx.doi.org/10.1007/s11267-006-9114-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 GBV_ILN_95 GBV_ILN_285 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 43.50 ASE AR 7 2007 4-5 03 02 513-527 |
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10.1007/s11267-006-9114-6 doi (DE-627)SPR018349544 (SPR)s11267-006-9114-6-e DE-627 ger DE-627 rakwb eng 333.7 ASE 43.50 bkl Nahorski, Zbigniew verfasserin aut Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. modelling CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 nonparametric methods (dpeaa)DE-He213 parametric methods (dpeaa)DE-He213 geometric Brownian motion (dpeaa)DE-He213 estimation of variance (dpeaa)DE-He213 Jȩda, Waldemar verfasserin aut Enthalten in Water, air & soil pollution Dordrecht [u.a.] : Springer Science + Business Media B.V, 2001 7(2007), 4-5 vom: 03. Feb., Seite 513-527 (DE-627)325295867 (DE-600)2035213-X 1573-2940 nnns volume:7 year:2007 number:4-5 day:03 month:02 pages:513-527 https://dx.doi.org/10.1007/s11267-006-9114-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_20 GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 GBV_ILN_95 GBV_ILN_285 GBV_ILN_702 GBV_ILN_2005 GBV_ILN_2048 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4338 43.50 ASE AR 7 2007 4-5 03 02 513-527 |
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processing national $ co_{2} $ inventory emissions data and their total uncertainty estimates |
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Processing National $ CO_{2} $ Inventory Emissions Data and their Total Uncertainty Estimates |
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Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. |
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Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. |
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Abstract The uncertainty of reported greenhouse gases emission inventories obtained by the aggregation of partial emissions from all sources and estimated to date for several countries is very high in comparison with the countries’ emissions limitation and reduction commitments under the Kyoto Protocol. Independent calculation of the estimates could confirm or question the undertainty estimates values obtained thus far. One of the aims of this paper is to propose statistical signal processing methods to enable calculation of the inventory variances. The annual reported emissions are used and temporal smoothness of the emissions curve is assumed. The methods considered are: a spline-function-smoothing procedure; a time-varying parameter model; and the geometric Brownian motion model. These are validated on historical observations of the $ CO_{2} $ emissions from fossil fuel combustion. The estimates of variances obtained are in a similar range to those obtained from national inventories using TIER1 or TIER2. Additionally, some regularities in the observed curves were noticed. |
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