FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3139116061> ?p ?o ?g. }

• W3139116061 endingPage "6507" @default.
• W3139116061 startingPage "6483" @default.
• W3139116061 abstract "Abstract. Remote sensing of greenhouse gases (GHGs) in cities, where high GHG emissions are typically associated with heavy aerosol loading, is challenging due to retrieval uncertainties caused by the imperfect characterization of scattering by aerosols. We investigate this problem by developing GFIT3, a full physics algorithm to retrieve GHGs (CO2 and CH4) by accounting for aerosol scattering effects in polluted urban atmospheres. In particular, the algorithm includes coarse- (including sea salt and dust) and fine- (including organic carbon, black carbon, and sulfate) mode aerosols in the radiative transfer model. The performance of GFIT3 is assessed using high-spectral-resolution observations over the Los Angeles (LA) megacity made by the California Laboratory for Atmospheric Remote Sensing Fourier transform spectrometer (CLARS-FTS). CLARS-FTS is located on Mt. Wilson, California, at 1.67 km a.s.l. overlooking the LA Basin, and it makes observations of reflected sunlight in the near-infrared spectral range. The first set of evaluations are performed by conducting retrieval experiments using synthetic spectra. We find that errors in the retrievals of column-averaged dry air mole fractions of CO2 (XCO2) and CH4 (XCH4) due to uncertainties in the aerosol optical properties and atmospheric a priori profiles are less than 1 % on average. This indicates that atmospheric scattering does not induce a large bias in the retrievals when the aerosols are properly characterized. The methodology is then further evaluated by comparing GHG retrievals using GFIT3 with those obtained from the CLARS-GFIT algorithm (used for currently operational CLARS retrievals) that does not account for aerosol scattering. We find a significant correlation between retrieval bias and aerosol optical depth (AOD). A comparison of GFIT3 AOD retrievals with collocated ground-based observations from AErosol RObotic NETwork (AERONET) shows that the developed algorithm produces very accurate results, with biases in AOD estimates of about 0.02. Finally, we assess the uncertainty in the widely used tracer–tracer ratio method to obtain CH4 emissions based on CO2 emissions and find that using the CH4/CO2 ratio effectively cancels out biases due to aerosol scattering. Overall, this study of applying GFIT3 to CLARS-FTS observations improves our understanding of the impact of aerosol scattering on the remote sensing of GHGs in polluted urban atmospheric environments. GHG retrievals from CLARS-FTS are potentially complementary to existing ground-based and spaceborne observations to monitor anthropogenic GHG fluxes in megacities." @default.
• W3139116061 created "2021-03-29" @default.
• W3139116061 creator A5007397257 @default.
• W3139116061 creator A5011546706 @default.
• W3139116061 creator A5027503115 @default.
• W3139116061 creator A5027893080 @default.
• W3139116061 creator A5047956197 @default.
• W3139116061 creator A5052069613 @default.
• W3139116061 creator A5061756992 @default.
• W3139116061 creator A5070629566 @default.
• W3139116061 creator A5078044430 @default.
• W3139116061 creator A5083878407 @default.
• W3139116061 date "2021-10-08" @default.
• W3139116061 modified "2023-09-30" @default.
• W3139116061 title "GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols" @default.
• W3139116061 cites W11108756 @default.
• W3139116061 cites W1540471798 @default.
• W3139116061 cites W1974105424 @default.
• W3139116061 cites W1974881069 @default.
• W3139116061 cites W2024309208 @default.
• W3139116061 cites W2034091452 @default.
• W3139116061 cites W2037620890 @default.
• W3139116061 cites W2050250373 @default.
• W3139116061 cites W2051416171 @default.
• W3139116061 cites W2061645909 @default.
• W3139116061 cites W2082591953 @default.
• W3139116061 cites W2087070363 @default.
• W3139116061 cites W2089433206 @default.
• W3139116061 cites W2092140572 @default.
• W3139116061 cites W2110465139 @default.
• W3139116061 cites W2124133365 @default.
• W3139116061 cites W2128217321 @default.
• W3139116061 cites W2131926945 @default.
• W3139116061 cites W2136408596 @default.
• W3139116061 cites W2140840200 @default.
• W3139116061 cites W2157234197 @default.
• W3139116061 cites W2157723159 @default.
• W3139116061 cites W2159090551 @default.
• W3139116061 cites W2161444550 @default.
• W3139116061 cites W2166165736 @default.
• W3139116061 cites W2173251738 @default.
• W3139116061 cites W2174507677 @default.
• W3139116061 cites W2190102855 @default.
• W3139116061 cites W2256578114 @default.
• W3139116061 cites W2268340605 @default.
• W3139116061 cites W2344884429 @default.
• W3139116061 cites W2528754857 @default.
• W3139116061 cites W2588521239 @default.
• W3139116061 cites W2612726421 @default.
• W3139116061 cites W2756197642 @default.
• W3139116061 cites W2767984388 @default.
• W3139116061 cites W2886397182 @default.
• W3139116061 cites W2893004617 @default.
• W3139116061 cites W2961299165 @default.
• W3139116061 cites W2987745523 @default.
• W3139116061 cites W3012536595 @default.
• W3139116061 cites W3025949386 @default.
• W3139116061 cites W3037814043 @default.
• W3139116061 cites W3042194851 @default.
• W3139116061 cites W3043883859 @default.
• W3139116061 cites W3105262176 @default.
• W3139116061 cites W3189128957 @default.
• W3139116061 cites W4240733927 @default.
• W3139116061 doi "https://doi.org/10.5194/amt-14-6483-2021" @default.
• W3139116061 hasPublicationYear "2021" @default.
• W3139116061 type Work @default.
• W3139116061 sameAs 3139116061 @default.
• W3139116061 citedByCount "4" @default.
• W3139116061 countsByYear W31391160612023 @default.
• W3139116061 crossrefType "journal-article" @default.
• W3139116061 hasAuthorship W3139116061A5007397257 @default.
• W3139116061 hasAuthorship W3139116061A5011546706 @default.
• W3139116061 hasAuthorship W3139116061A5027503115 @default.
• W3139116061 hasAuthorship W3139116061A5027893080 @default.
• W3139116061 hasAuthorship W3139116061A5047956197 @default.
• W3139116061 hasAuthorship W3139116061A5052069613 @default.
• W3139116061 hasAuthorship W3139116061A5061756992 @default.
• W3139116061 hasAuthorship W3139116061A5070629566 @default.
• W3139116061 hasAuthorship W3139116061A5078044430 @default.
• W3139116061 hasAuthorship W3139116061A5083878407 @default.
• W3139116061 hasBestOaLocation W31391160611 @default.
• W3139116061 hasConcept C111368507 @default.
• W3139116061 hasConcept C120665830 @default.
• W3139116061 hasConcept C121332964 @default.
• W3139116061 hasConcept C127313418 @default.
• W3139116061 hasConcept C153294291 @default.
• W3139116061 hasConcept C199390426 @default.
• W3139116061 hasConcept C2778552899 @default.
• W3139116061 hasConcept C2779345167 @default.
• W3139116061 hasConcept C33390570 @default.
• W3139116061 hasConcept C39432304 @default.
• W3139116061 hasConcept C47737302 @default.
• W3139116061 hasConcept C62649853 @default.
• W3139116061 hasConcept C74902906 @default.
• W3139116061 hasConcept C91586092 @default.
• W3139116061 hasConceptScore W3139116061C111368507 @default.
• W3139116061 hasConceptScore W3139116061C120665830 @default.
• W3139116061 hasConceptScore W3139116061C121332964 @default.

• next