Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes

<p>We present a simple statistical approach for estimating the greenhouse gas emissions of large cities using accurate long-term data of column-averaged greenhouse gas abundances collected by a nearby FTIR (Fourier transform infrared) spectrometer. This approach is then used to estimate carbon...

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Main Authors: A. Babenhauserheide, F. Hase, I. Morino
Format: Article
Language:English
Published: Copernicus Publications 2020-05-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/13/2697/2020/amt-13-2697-2020.pdf
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spelling doaj-c888089455a54dd9b0881fb6d0cded912020-11-25T02:59:30ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482020-05-01132697271010.5194/amt-13-2697-2020Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondesA. Babenhauserheide0A. Babenhauserheide1F. Hase2I. Morino3IMK-ASF, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germanynow at: Disy Informationssysteme GmbH, Karlsruhe, GermanyIMK-ASF, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyNational Institute for Environmental Studies (NIES), Tsukuba, Japan<p>We present a simple statistical approach for estimating the greenhouse gas emissions of large cities using accurate long-term data of column-averaged greenhouse gas abundances collected by a nearby FTIR (Fourier transform infrared) spectrometer. This approach is then used to estimate carbon dioxide emissions from Tokyo.</p> <p>FTIR measurements by the Total Carbon Column Observing Network (TCCON) derive gas abundances by quantitative spectral analysis of molecular absorption bands observed in near-infrared solar absorption spectra. Consequently these measurements only include daytime data.</p> <p>The emissions of Tokyo are derived by binning measurements according to wind direction and subtracting measurements of wind fields from outside the Tokyo area from measurements of wind fields from inside the Tokyo area.</p> <p>We estimate the average yearly carbon dioxide emissions from the area of Tokyo to be <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">70</mn><mo>±</mo><mn mathvariant="normal">21</mn><mo>±</mo><mn mathvariant="normal">6</mn><mspace linebreak="nobreak" width="0.125em"/><mrow class="unit"><mi mathvariant="normal">MtC</mi><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">yr</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="97pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="a4841ed10cd3915f3dc0c8f93b069eca"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-13-2697-2020-ie00001.svg" width="97pt" height="15pt" src="amt-13-2697-2020-ie00001.png"/></svg:svg></span></span> between 2011 and 2016, calculated using only measurements from the TCCON site in Tsukuba (north-east of Tokyo) and wind-speed data from nearby radiosondes at Tateno. The uncertainties are estimated from the distribution of values and uncertainties of parameters (<span class="inline-formula">±21</span>) and from the differences between fitting residuals with polynomials or with sines and cosines (<span class="inline-formula">±6</span>).</p> <p>Our estimates are a factor of 1.7 higher than estimates using the Open-Data Inventory for Anthropogenic Carbon dioxide emission inventory (ODIAC), but when results are scaled by the expected daily cycle of emissions, measurements simulated from ODIAC data are within the uncertainty of our results.</p> <p>The goal of this study is not to calculate the best possible estimate of <span class="inline-formula">CO<sub>2</sub></span> emissions but to describe a simple method which can be replicated easily and uses only observation data.</p>https://www.atmos-meas-tech.net/13/2697/2020/amt-13-2697-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Babenhauserheide
A. Babenhauserheide
F. Hase
I. Morino
spellingShingle A. Babenhauserheide
A. Babenhauserheide
F. Hase
I. Morino
Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes
Atmospheric Measurement Techniques
author_facet A. Babenhauserheide
A. Babenhauserheide
F. Hase
I. Morino
author_sort A. Babenhauserheide
title Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes
title_short Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes
title_full Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes
title_fullStr Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes
title_full_unstemmed Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes
title_sort net co<sub>2</sub> fossil fuel emissions of tokyo estimated directly from measurements of the tsukuba tccon site and radiosondes
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2020-05-01
description <p>We present a simple statistical approach for estimating the greenhouse gas emissions of large cities using accurate long-term data of column-averaged greenhouse gas abundances collected by a nearby FTIR (Fourier transform infrared) spectrometer. This approach is then used to estimate carbon dioxide emissions from Tokyo.</p> <p>FTIR measurements by the Total Carbon Column Observing Network (TCCON) derive gas abundances by quantitative spectral analysis of molecular absorption bands observed in near-infrared solar absorption spectra. Consequently these measurements only include daytime data.</p> <p>The emissions of Tokyo are derived by binning measurements according to wind direction and subtracting measurements of wind fields from outside the Tokyo area from measurements of wind fields from inside the Tokyo area.</p> <p>We estimate the average yearly carbon dioxide emissions from the area of Tokyo to be <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">70</mn><mo>±</mo><mn mathvariant="normal">21</mn><mo>±</mo><mn mathvariant="normal">6</mn><mspace linebreak="nobreak" width="0.125em"/><mrow class="unit"><mi mathvariant="normal">MtC</mi><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">yr</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="97pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="a4841ed10cd3915f3dc0c8f93b069eca"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-13-2697-2020-ie00001.svg" width="97pt" height="15pt" src="amt-13-2697-2020-ie00001.png"/></svg:svg></span></span> between 2011 and 2016, calculated using only measurements from the TCCON site in Tsukuba (north-east of Tokyo) and wind-speed data from nearby radiosondes at Tateno. The uncertainties are estimated from the distribution of values and uncertainties of parameters (<span class="inline-formula">±21</span>) and from the differences between fitting residuals with polynomials or with sines and cosines (<span class="inline-formula">±6</span>).</p> <p>Our estimates are a factor of 1.7 higher than estimates using the Open-Data Inventory for Anthropogenic Carbon dioxide emission inventory (ODIAC), but when results are scaled by the expected daily cycle of emissions, measurements simulated from ODIAC data are within the uncertainty of our results.</p> <p>The goal of this study is not to calculate the best possible estimate of <span class="inline-formula">CO<sub>2</sub></span> emissions but to describe a simple method which can be replicated easily and uses only observation data.</p>
url https://www.atmos-meas-tech.net/13/2697/2020/amt-13-2697-2020.pdf
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