Scalable Tracking of CO2 Emissions: A Global Analysis with Satellite Data
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Washington, D.C
The World Bank
2023
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1596/1813-9450-10297 |
| Abstract: | This paper extends recent research on satellite-based carbon dioxide measurement to an easily updated template for tracking changes in carbon dioxide concentrations at local and regional scales. Using data from the National Aeronautics and Space Administration's Orbiting Carbon Observatory-2 satellite platform and a large sample of urban areas, a comparison of trend estimation models suggests that the template can use a simple model that estimates trends directly from satellite data pre-filtered to isolate local concentration anomalies. Illustrative applications are developed for a long-period trend model and a short-period model focused on change in the most recent year. In addition, the paper estimates carbon dioxide emissions for thousands of urban areas and identifies cities whose emissions performance is above or below expectation. Although the tracking model is "simple," it requires software and hardware that are beyond the means of many interested stakeholders. For this reason, the World Bank's Development Economics Vice Presidency has established an open web facility that pre-filters data from the National Aeronautics and Space Administration's Orbiting Carbon Observatory-2satellite and publishes monthly mean concentration anomalies for all terrestrial cells of a 25-kilometer global grid. The website will also publish annual carbon dioxide tracking reports for urban areas and provide information that links the 25-kilometer global grid cell IDs to IDs for urban areas and national administrative units (levels 0, 1, and 2) |
| Umfang: | 1 Online-Ressource (41 Seiten) |
| DOI: | 10.1596/1813-9450-10297 |
Internformat
MARC
| LEADER | 00000nam a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV049079319 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230731s2023 xxu o|||| 00||| eng d | ||
| 024 | 7 | |a 10.1596/1813-9450-10297 |2 doi | |
| 035 | |a (ZDB-1-WBA)090344960 | ||
| 035 | |a (OCoLC)1392154481 | ||
| 035 | |a (DE-599)KEP090344960 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
| 100 | 1 | |a Dasgupta, Susmita |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Scalable Tracking of CO2 Emissions |b A Global Analysis with Satellite Data |c Susmita Dasgupta |
| 264 | 1 | |a Washington, D.C |b The World Bank |c 2023 | |
| 300 | |a 1 Online-Ressource (41 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | 3 | |a This paper extends recent research on satellite-based carbon dioxide measurement to an easily updated template for tracking changes in carbon dioxide concentrations at local and regional scales. Using data from the National Aeronautics and Space Administration's Orbiting Carbon Observatory-2 satellite platform and a large sample of urban areas, a comparison of trend estimation models suggests that the template can use a simple model that estimates trends directly from satellite data pre-filtered to isolate local concentration anomalies. Illustrative applications are developed for a long-period trend model and a short-period model focused on change in the most recent year. In addition, the paper estimates carbon dioxide emissions for thousands of urban areas and identifies cities whose emissions performance is above or below expectation. Although the tracking model is "simple," it requires software and hardware that are beyond the means of many interested stakeholders. For this reason, the World Bank's Development Economics Vice Presidency has established an open web facility that pre-filters data from the National Aeronautics and Space Administration's Orbiting Carbon Observatory-2satellite and publishes monthly mean concentration anomalies for all terrestrial cells of a 25-kilometer global grid. The website will also publish annual carbon dioxide tracking reports for urban areas and provide information that links the 25-kilometer global grid cell IDs to IDs for urban areas and national administrative units (levels 0, 1, and 2) | |
| 650 | 4 | |a Air Quality and Clean Air | |
| 650 | 4 | |a Co2 Emissions | |
| 650 | 4 | |a Environment | |
| 650 | 4 | |a Local and Regional Co2 Tracking | |
| 650 | 4 | |a OCO-2 | |
| 650 | 4 | |a Satellite-Based Carbon Dioxide Measurement | |
| 650 | 4 | |a Urban Emissions Tracking | |
| 650 | 4 | |a Urban Pollution | |
| 700 | 1 | |a Lall, Somik |e Sonstige |4 oth | |
| 700 | 1 | |a Wheeler, David |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Dasgupta, Susmita |t Scalable Tracking of CO2 Emissions: A Global Analysis with Satellite Data |d Washington, D.C. : The World Bank, 2023 |
| 856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-10297 |x Verlag |z kostenfrei |3 Volltext |
| 912 | |a ZDB-1-WBA | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034341210 | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2826233 |
|---|---|
| _version_ | 1821937216117538817 |
| any_adam_object | |
| author | Dasgupta, Susmita |
| author_facet | Dasgupta, Susmita |
| author_role | aut |
| author_sort | Dasgupta, Susmita |
| author_variant | s d sd |
| building | Verbundindex |
| bvnumber | BV049079319 |
| collection | ZDB-1-WBA |
| ctrlnum | (ZDB-1-WBA)090344960 (OCoLC)1392154481 (DE-599)KEP090344960 |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1596/1813-9450-10297 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03237nam a22004451c 4500</leader><controlfield tag="001">BV049079319</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230731s2023 xxu o|||| 00||| eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-10297</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)090344960</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1392154481</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP090344960</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dasgupta, Susmita</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scalable Tracking of CO2 Emissions</subfield><subfield code="b">A Global Analysis with Satellite Data</subfield><subfield code="c">Susmita Dasgupta</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (41 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">This paper extends recent research on satellite-based carbon dioxide measurement to an easily updated template for tracking changes in carbon dioxide concentrations at local and regional scales. Using data from the National Aeronautics and Space Administration's Orbiting Carbon Observatory-2 satellite platform and a large sample of urban areas, a comparison of trend estimation models suggests that the template can use a simple model that estimates trends directly from satellite data pre-filtered to isolate local concentration anomalies. Illustrative applications are developed for a long-period trend model and a short-period model focused on change in the most recent year. In addition, the paper estimates carbon dioxide emissions for thousands of urban areas and identifies cities whose emissions performance is above or below expectation. Although the tracking model is "simple," it requires software and hardware that are beyond the means of many interested stakeholders. For this reason, the World Bank's Development Economics Vice Presidency has established an open web facility that pre-filters data from the National Aeronautics and Space Administration's Orbiting Carbon Observatory-2satellite and publishes monthly mean concentration anomalies for all terrestrial cells of a 25-kilometer global grid. The website will also publish annual carbon dioxide tracking reports for urban areas and provide information that links the 25-kilometer global grid cell IDs to IDs for urban areas and national administrative units (levels 0, 1, and 2)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Air Quality and Clean Air</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Co2 Emissions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Environment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Local and Regional Co2 Tracking</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">OCO-2</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Satellite-Based Carbon Dioxide Measurement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Urban Emissions Tracking</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Urban Pollution</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lall, Somik</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wheeler, David</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Dasgupta, Susmita</subfield><subfield code="t">Scalable Tracking of CO2 Emissions: A Global Analysis with Satellite Data</subfield><subfield code="d">Washington, D.C. : The World Bank, 2023</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-10297</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034341210</subfield></datafield></record></collection> |
| id | DE-604.BV049079319 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T20:00:12Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034341210 |
| oclc_num | 1392154481 |
| open_access_boolean | 1 |
| owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
| physical | 1 Online-Ressource (41 Seiten) |
| psigel | ZDB-1-WBA |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | The World Bank |
| record_format | marc |
| spellingShingle | Dasgupta, Susmita Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data Air Quality and Clean Air Co2 Emissions Environment Local and Regional Co2 Tracking OCO-2 Satellite-Based Carbon Dioxide Measurement Urban Emissions Tracking Urban Pollution |
| title | Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data |
| title_auth | Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data |
| title_exact_search | Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data |
| title_full | Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data Susmita Dasgupta |
| title_fullStr | Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data Susmita Dasgupta |
| title_full_unstemmed | Scalable Tracking of CO2 Emissions A Global Analysis with Satellite Data Susmita Dasgupta |
| title_short | Scalable Tracking of CO2 Emissions |
| title_sort | scalable tracking of co2 emissions a global analysis with satellite data |
| title_sub | A Global Analysis with Satellite Data |
| topic | Air Quality and Clean Air Co2 Emissions Environment Local and Regional Co2 Tracking OCO-2 Satellite-Based Carbon Dioxide Measurement Urban Emissions Tracking Urban Pollution |
| topic_facet | Air Quality and Clean Air Co2 Emissions Environment Local and Regional Co2 Tracking OCO-2 Satellite-Based Carbon Dioxide Measurement Urban Emissions Tracking Urban Pollution |
| url | https://doi.org/10.1596/1813-9450-10297 |
| work_keys_str_mv | AT dasguptasusmita scalabletrackingofco2emissionsaglobalanalysiswithsatellitedata AT lallsomik scalabletrackingofco2emissionsaglobalanalysiswithsatellitedata AT wheelerdavid scalabletrackingofco2emissionsaglobalanalysiswithsatellitedata |