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https://doi.org/10.5194/gmd-2019-295

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2013jd021130openalex-snapshot
Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)
inferredcites →https://doi.org/10.1002/joc.3959openalex-snapshot
European degree‐day climatologies and trends for the period 1951–2011
inferredcites →https://doi.org/10.1007/s10705-016-9764-3openalex-snapshot
Composition, potential emissions and agricultural value of pig slurry from Spanish commercial farms
inferredcites →https://doi.org/10.1016/j.atmosenv.2005.04.027openalex-snapshot
Fully coupled “online” chemistry within the WRF model
inferredcites →https://doi.org/10.1016/j.atmosenv.2008.07.026openalex-snapshot
Development of a high-resolution (1km×1km, 1h) emission model for Spain: The High-Elective Resolution Modelling Emission System (HERMES)
inferredcites →https://doi.org/10.1016/j.atmosenv.2009.12.029openalex-snapshot
A new condensed toluene mechanism for Carbon Bond: CB05-TU☆
inferredcites →https://doi.org/10.1016/j.atmosenv.2012.07.065openalex-snapshot
Emission factors from road dust resuspension in a Mediterranean freeway
inferredcites →https://doi.org/10.1016/j.atmosenv.2012.08.002openalex-snapshot
Improving ammonia emissions in air quality modelling for France
inferredcites →https://doi.org/10.1016/j.atmosenv.2012.08.042openalex-snapshot
Effect of rain events on the mobility of road dust load in two Dutch and Spanish roads
inferredcites →https://doi.org/10.1016/j.atmosenv.2013.03.052openalex-snapshot
A comparative analysis of two highly spatially resolved European atmospheric emission inventories
inferredcites →https://doi.org/10.1016/j.atmosenv.2013.05.074openalex-snapshot
RLINE: A line source dispersion model for near-surface releases
inferredcites →https://doi.org/10.1016/j.atmosenv.2013.08.053openalex-snapshot
An improved system for modelling Spanish emissions: HERMESv2.0
inferredcites →https://doi.org/10.1016/j.atmosenv.2013.09.026openalex-snapshot
New insights from comprehensive on-road measurements of NOx, NO2 and NH3 from vehicle emission remote sensing in London, UK
inferredcites →https://doi.org/10.1016/j.atmosenv.2014.10.061openalex-snapshot
Analysis of the emission inventories and model-ready emission datasets of Europe and North America for phase 2 of the AQMEII project
inferredcites →https://doi.org/10.1016/j.atmosenv.2016.01.041openalex-snapshot
Ammonia emissions in Europe, part I: Development of a dynamical ammonia emission inventory
inferredcites →https://doi.org/10.1016/j.atmosenv.2017.02.004openalex-snapshot
Assessment of discrepancies between bottom-up and regional emission inventories in Norwegian urban areas
inferredcites →https://doi.org/10.1016/j.atmosenv.2017.07.056openalex-snapshot
On-road measurement of NH 3 emissions from gasoline and diesel passenger cars during real world driving conditions
inferredcites →https://doi.org/10.1016/j.envpol.2011.04.030openalex-snapshot
Vertical emission profiles for Europe based on plume rise calculations
inferredcites →https://doi.org/10.1016/j.scitotenv.2013.12.062openalex-snapshot
Integrated assessment of air pollution using observations and modelling in Santa Cruz de Tenerife (Canary Islands)
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.01.135openalex-snapshot
An emission processing system for air quality modelling in the Mexico City metropolitan area: Evaluation and comparison of the MOBILE6.2-Mexico and MOVES-Mexico traffic emissions
inferredcites →https://doi.org/10.1016/j.uclim.2013.10.004openalex-snapshot
Quantification of the urban air pollution increment and its dependency on the use of down-scaled and bottom-up city emission inventories
inferredcites →https://doi.org/10.1016/s0168-1923(97)00027-0openalex-snapshot
Growing degree-days: one equation, two interpretations
inferredcites →https://doi.org/10.1016/s1352-2310(99)00468-9openalex-snapshot
NARSTO critical review of photochemical models and modeling
inferredcites →https://doi.org/10.1029/1999jd900975openalex-snapshot
Emission inventory development and processing for the Seasonal Model for Regional Air Quality (SMRAQ) project
inferredcites →https://doi.org/10.1029/2000gb001389openalex-snapshot
Estimation of global NH 3 volatilization loss from synthetic fertilizers and animal manure applied to arable lands and grasslands
inferredcites →https://doi.org/10.1029/2004jd005459openalex-snapshot
A dynamical ammonia emission parameterization for use in air pollution models
inferredcites →https://doi.org/10.1038/nature11420openalex-snapshot
Closing yield gaps through nutrient and water management
inferredcites →https://doi.org/10.1038/s41586-018-0747-1openalex-snapshot
Industrial and agricultural ammonia point sources exposed
inferredcites →https://doi.org/10.1038/sdata.2018.227openalex-snapshot
Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010
inferredcites →https://doi.org/10.1039/c5fd00162eopenalex-snapshot
Have vehicle emissions of primary NO 2 peaked?
inferredcites →https://doi.org/10.1080/10962247.2013.822438openalex-snapshot
Radical precursors and related species from traffic as observed and modeled at an urban highway junction
inferredcites →https://doi.org/10.1080/10962247.2015.1013646openalex-snapshot
Development of a database for chemical mechanism assignments for volatile organic emissions
inferredcites →https://doi.org/10.1080/10962247.2019.1629363openalex-snapshot
Reflecting on progress since the 2005 NARSTO emissions inventory report
inferredcites →https://doi.org/10.1111/j.1466-8238.2010.00551.xopenalex-snapshot
Crop planting dates: an analysis of global patterns
inferredcites →https://doi.org/10.1371/journal.pone.0169748openalex-snapshot
SoilGrids250m: Global gridded soil information based on machine learning
inferredcites →https://doi.org/10.24380/d0bn-kx16openalex-snapshot
The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version)
inferredcites →https://doi.org/10.2905/0c6b9751-a71f-4062-830b-43c9f432370fopenalex-snapshot
GHS population grid multitemporal (1975-1990-2000-2015), R2019A
inferredcites →https://doi.org/10.2905/42e8be89-54ff-464e-be7b-bf9e64da5218openalex-snapshot
GHS settlement grid, updated and refined REGIO model 2014 in application to GHS-BUILT R2018A and GHS-POP R2019A, multitemporal (1975-1990-2000-2015), R2019A
inferredcites →https://doi.org/10.5194/acp-11-5221-2011openalex-snapshot
Spatial and temporal variations in ammonia emissions – a freely accessible model code for Europe
inferredcites →https://doi.org/10.5194/acp-13-11019-2013openalex-snapshot
Emissions of air pollutants and greenhouse gases over Asian regions during 2000–2008: Regional Emission inventory in ASia (REAS) version 2
inferredcites →https://doi.org/10.5194/acp-14-10963-2014openalex-snapshot
TNO-MACC_II emission inventory; a multi-year (2003–2009) consistent high-resolution European emission inventory for air quality modelling
inferredcites →https://doi.org/10.5194/acp-14-5617-2014openalex-snapshot
Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms
inferredcites →https://doi.org/10.5194/acp-14-939-2014openalex-snapshot
Sensitivity of air pollution simulations with LOTOS-EUROS to the temporal distribution of anthropogenic emissions
inferredcites →https://doi.org/10.5194/acp-15-6503-2015openalex-snapshot
Particulate emissions from residential wood combustion in Europe – revised estimates and an evaluation
inferredcites →https://doi.org/10.5194/acp-16-14979-2016openalex-snapshot
Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example
inferredcites →https://doi.org/10.5194/acp-17-10597-2017openalex-snapshot
Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation
inferredcites →https://doi.org/10.5194/acp-17-4131-2017openalex-snapshot
Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis
inferredcites →https://doi.org/10.5194/acp-17-8681-2017openalex-snapshot
Global anthropogenic emissions of particulate matter including black carbon
inferredcites →https://doi.org/10.5194/acp-18-14695-2018openalex-snapshot
A comparison of plume rise algorithms to stack plume measurements in the Athabasca oil sands
inferredcites →https://doi.org/10.5194/acp-19-10217-2019openalex-snapshot
The MetVed model: development and evaluation of emissions from residential wood combustion at high spatio-temporal resolution in Norway
inferredcites →https://doi.org/10.5194/acp-19-5467-2019openalex-snapshot
Ozone source apportionment during peak summer events over southwestern Europe
inferredcites →https://doi.org/10.5194/essd-2018-31openalex-snapshot
inferredcites →https://doi.org/10.5194/gmd-10-1703-2017openalex-snapshot
Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1
inferredcites →https://doi.org/10.5194/gmd-10-609-2017openalex-snapshot
Description and evaluation of the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (NMMB-MONARCH) version 1.0: gas-phase chemistry at global scale
inferredcites →https://doi.org/10.5194/gmd-12-1885-2019openalex-snapshot
HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module
inferredcites →https://doi.org/10.5194/gmd-12-2811-2019openalex-snapshot
CALIOPE-Urban v1.0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain)
inferredcites →https://doi.org/10.5194/gmd-2019-295openalex-snapshot

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4172744openalex-extracted
A High-Resolution Monitoring Approach of Urban Co2 Fluxes. Part 1 - Bottom-Up Model Development
inferred← citeshttps://doi.org/10.2139/ssrn.4537081openalex-extracted
Urban Road Traffic Impacts on Air Quality and Health: A Bottom-Up Approach
inferred← citeshttps://doi.org/10.2139/ssrn.4571519openalex-extracted
Assessing Air Quality and Human Health Impacts of Urban Road Traffic Emissions in Milan with a Bottom-Up Modelling Chain
inferred← citeshttps://doi.org/10.2139/ssrn.4789564openalex-snapshot
inferred← citeshttps://doi.org/10.2139/ssrn.5100189openalex-snapshot
inferred← citeshttps://doi.org/10.5194/acp-2021-581openalex-snapshot
inferred← citeshttps://doi.org/10.5194/egusphere-2022-1147openalex-snapshot
inferred← citeshttps://doi.org/10.5194/egusphere-2022-1147-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/egusphere-2022-1147-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/egusphere-2022-1147-rc1openalex-snapshot
Comment on egusphere-2022-1147
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3145-rc1openalex-snapshot
Comment on egusphere-2023-3145
inferred← citeshttps://doi.org/10.5194/egusphere-2023-3145-rc3openalex-snapshot
Comment on egusphere-2023-3145
inferred← citeshttps://doi.org/10.5194/egusphere-2024-2086openalex-snapshot
Characterization of Brown Carbon absorption in different European environments through source contribution analysis
inferred← citeshttps://doi.org/10.5194/egusphere-2024-2086-supplementopenalex-snapshot
Supplementary material to "Characterization of Brown Carbon absorption in different European environments through source contribution analysis"
inferred← citeshttps://doi.org/10.5194/gmd-12-1885-2019openalex-snapshot
HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module
inferred← citeshttps://doi.org/10.5194/gmd-2020-386openalex-snapshot
inferred← citeshttps://doi.org/10.5194/gmd-2022-147-ac1openalex-snapshot
Comment on gmd-2022-147
inferred← citeshttps://doi.org/10.5194/gmd-2022-147-rc1openalex-snapshot
Comment on gmd-2022-147
inferred← citeshttps://doi.org/10.5424/sjar/2021193-17271openalex-snapshot
Gaseous nitrogen losses from pig slurry fertilisation: can they be reduced with additives in a wheat crop?
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