Matches in SemOpenAlex for { <https://semopenalex.org/work/W3087474786> ?p ?o ?g. }
- W3087474786 abstract "Abstract. Forecasts of biogenic trace gases in the planetary boundary layer (PBL) are highly affected by simulated emission and transport processes. The Po region during the PEGASOS campaign in summer 2012 provides challenging, yet common, conditions for simulating biogenic gases in the PBL. This study identifies and quantifies principal sources of forecast uncertainties induced by various model configurations under these conditions. Specifically, the effects of model configuration on different processes affecting atmospheric distributions of biogenic trace gas distributions are analyzed based on a priori available information. The investigation is based on the EURopean Air pollution Dispersion – Inverse Model (EURAD-IM) chemistry transport model employing the Model for Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN 2.1) biogenic emission module and Regional Atmospheric Chemistry Mechanism – Mainz Isoprene Mechanism (RACM-MIM) as the gas phase chemistry mechanism. Two major sources of forecast uncertainties are identified in this study. Firstly, biogenic emissions appear to be exceptionally sensitive to land surface properties inducing total variations in local concentrations of up to 1 order of magnitude. Moreover, these sensitivities are found to be highly similar for different gases and almost constant during the campaign, varying only diurnally. Secondly, the model configuration also highly influences regional flow patterns with significant effects on pollutant transport and mixing. This effect was corroborated by diverging source regions of a representative air mass and thus applies also to non-biogenic gases. As a result, large sensitivities to model configuration are found for surface concentrations of isoprene, as well as OH, affecting reactive atmospheric chemistry. Especially in areas with small-scale emission patterns, changes in the model configuration are able to induce significantly different local concentrations. The amount and complexity of sensitivities found in this study demonstrate the need to consider forecast uncertainties in chemical transport models with a special focus on biogenic emissions and pollutant transport." @default.
- W3087474786 created "2020-09-25" @default.
- W3087474786 creator A5035274555 @default.
- W3087474786 creator A5088353643 @default.
- W3087474786 date "2021-03-17" @default.
- W3087474786 modified "2023-10-18" @default.
- W3087474786 title "Identifying forecast uncertainties for biogenic gases in the Po Valley related to model configuration in EURAD-IM during PEGASOS 2012" @default.
- W3087474786 cites W113885127 @default.
- W3087474786 cites W1529898429 @default.
- W3087474786 cites W1536340909 @default.
- W3087474786 cites W1570976541 @default.
- W3087474786 cites W1834785890 @default.
- W3087474786 cites W1969166684 @default.
- W3087474786 cites W1988509955 @default.
- W3087474786 cites W1991387844 @default.
- W3087474786 cites W1997132789 @default.
- W3087474786 cites W2003831290 @default.
- W3087474786 cites W2005698219 @default.
- W3087474786 cites W2009634867 @default.
- W3087474786 cites W2011144760 @default.
- W3087474786 cites W2018402815 @default.
- W3087474786 cites W2037135721 @default.
- W3087474786 cites W2041931582 @default.
- W3087474786 cites W2052021809 @default.
- W3087474786 cites W2056435747 @default.
- W3087474786 cites W2057175601 @default.
- W3087474786 cites W2083339292 @default.
- W3087474786 cites W2084897789 @default.
- W3087474786 cites W2103680334 @default.
- W3087474786 cites W2104235768 @default.
- W3087474786 cites W2105153631 @default.
- W3087474786 cites W2110179017 @default.
- W3087474786 cites W2117582261 @default.
- W3087474786 cites W2121025662 @default.
- W3087474786 cites W2121745948 @default.
- W3087474786 cites W2121966618 @default.
- W3087474786 cites W2123855284 @default.
- W3087474786 cites W2124853974 @default.
- W3087474786 cites W2125805649 @default.
- W3087474786 cites W2127559745 @default.
- W3087474786 cites W2127657691 @default.
- W3087474786 cites W2128368893 @default.
- W3087474786 cites W2131196073 @default.
- W3087474786 cites W2131226867 @default.
- W3087474786 cites W2131448468 @default.
- W3087474786 cites W2141519646 @default.
- W3087474786 cites W2157539394 @default.
- W3087474786 cites W2158110245 @default.
- W3087474786 cites W2163358735 @default.
- W3087474786 cites W2165315818 @default.
- W3087474786 cites W2177865389 @default.
- W3087474786 cites W2193595159 @default.
- W3087474786 cites W2210758969 @default.
- W3087474786 cites W2220682612 @default.
- W3087474786 cites W2273708466 @default.
- W3087474786 cites W2289101232 @default.
- W3087474786 cites W2291071590 @default.
- W3087474786 cites W2337616138 @default.
- W3087474786 cites W2401178562 @default.
- W3087474786 cites W2535409553 @default.
- W3087474786 cites W2548066875 @default.
- W3087474786 cites W2589816700 @default.
- W3087474786 cites W2614250595 @default.
- W3087474786 cites W2622035205 @default.
- W3087474786 cites W2784395905 @default.
- W3087474786 cites W2785072440 @default.
- W3087474786 cites W2883183514 @default.
- W3087474786 cites W2923872457 @default.
- W3087474786 cites W2945444026 @default.
- W3087474786 cites W2955601895 @default.
- W3087474786 cites W2982083684 @default.
- W3087474786 cites W2982338710 @default.
- W3087474786 cites W4254221643 @default.
- W3087474786 doi "https://doi.org/10.5194/acp-21-4039-2021" @default.
- W3087474786 hasPublicationYear "2021" @default.
- W3087474786 type Work @default.
- W3087474786 sameAs 3087474786 @default.
- W3087474786 citedByCount "4" @default.
- W3087474786 countsByYear W30874747862021 @default.
- W3087474786 countsByYear W30874747862022 @default.
- W3087474786 crossrefType "journal-article" @default.
- W3087474786 hasAuthorship W3087474786A5035274555 @default.
- W3087474786 hasAuthorship W3087474786A5088353643 @default.
- W3087474786 hasBestOaLocation W30874747861 @default.
- W3087474786 hasConcept C111603439 @default.
- W3087474786 hasConcept C120665830 @default.
- W3087474786 hasConcept C121332964 @default.
- W3087474786 hasConcept C127313418 @default.
- W3087474786 hasConcept C130047971 @default.
- W3087474786 hasConcept C153294291 @default.
- W3087474786 hasConcept C15920480 @default.
- W3087474786 hasConcept C177562468 @default.
- W3087474786 hasConcept C178790620 @default.
- W3087474786 hasConcept C185592680 @default.
- W3087474786 hasConcept C2779345167 @default.
- W3087474786 hasConcept C2780959689 @default.
- W3087474786 hasConcept C39432304 @default.
- W3087474786 hasConcept C49999975 @default.
- W3087474786 hasConcept C508106653 @default.
- W3087474786 hasConcept C521977710 @default.