Articles | Volume 10, issue 8
Geosci. Model Dev., 10, 2971–2999, 2017
https://doi.org/10.5194/gmd-10-2971-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Coupled chemistry–meteorology modelling: status and...
Geosci. Model Dev., 10, 2971–2999, 2017
https://doi.org/10.5194/gmd-10-2971-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper 08 Aug 2017
Model description paper | 08 Aug 2017
Enviro-HIRLAM online integrated meteorology–chemistry modelling system: strategy, methodology, developments and applications (v7.2)
Alexander Baklanov et al.
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Cited
15 citations as recorded by crossref.
- Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. 10.3390/atmos11020205
- Dispersion of particulate matter (PM<sub>2.5</sub>) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations T. Wolf et al. 10.5194/acp-21-12463-2021
- Implementation of Aerosol-Cloud Interaction within WRF-CHIMERE Online Coupled Model: Evaluation and Investigation of the Indirect Radiative Effect from Anthropogenic Emission Reduction on the Benelux Union P. Tuccella et al. 10.3390/atmos10010020
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
- Atmospheric and ecosystem big data providing key contributions in reaching United Nations’ Sustainable Development Goals M. Kulmala et al. 10.1080/20964471.2021.1936943
- The On-Line Integrated Mesoscale Chemistry Model BOLCHEM R. Cesari et al. 10.3390/atmos12020192
- A perspective on the development of gas-phase chemical mechanisms for Eulerian air quality models W. Stockwell et al. 10.1080/10962247.2019.1694605
- An enhanced integrated approach to knowledgeable high-resolution environmental quality assessment I. Esau et al. 10.1016/j.envsci.2021.03.020
- ONLINE INTEGRATED MODELING ON REGIONAL SCALE IN NORTH-WEST RUSSIA: EVALUATION OF AEROSOLS INFLUENCE ON METEOROLOGICAL PARAMETERS G. Nerobelov et al. 10.24057/2071-9388-2018-11-2-73-83
- Modelling and inference of maize pollen emission rate with a Lagrangian dispersal model using Monte Carlo method O. Souhar et al. 10.1017/S0021859620000763
- Short-Term Forecast of the Carbon Monoxide Concentration Over the Moscow Region by COSMO-ART A. Revokatova et al. 10.1007/s00024-018-2001-z
- Incorporation of pollen data in source maps is vital for pollen dispersion models A. Kurganskiy et al. 10.5194/acp-20-2099-2020
- The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program H. Lappalainen et al. 10.1080/20964471.2018.1437704
- Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor 10.1016/j.atmosenv.2018.01.039
- The HIRLAM fast radiation scheme for mesoscale numerical weather prediction models L. Rontu et al. 10.5194/asr-14-195-2017
13 citations as recorded by crossref.
- Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. 10.3390/atmos11020205
- Dispersion of particulate matter (PM<sub>2.5</sub>) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations T. Wolf et al. 10.5194/acp-21-12463-2021
- Implementation of Aerosol-Cloud Interaction within WRF-CHIMERE Online Coupled Model: Evaluation and Investigation of the Indirect Radiative Effect from Anthropogenic Emission Reduction on the Benelux Union P. Tuccella et al. 10.3390/atmos10010020
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
- Atmospheric and ecosystem big data providing key contributions in reaching United Nations’ Sustainable Development Goals M. Kulmala et al. 10.1080/20964471.2021.1936943
- The On-Line Integrated Mesoscale Chemistry Model BOLCHEM R. Cesari et al. 10.3390/atmos12020192
- A perspective on the development of gas-phase chemical mechanisms for Eulerian air quality models W. Stockwell et al. 10.1080/10962247.2019.1694605
- An enhanced integrated approach to knowledgeable high-resolution environmental quality assessment I. Esau et al. 10.1016/j.envsci.2021.03.020
- ONLINE INTEGRATED MODELING ON REGIONAL SCALE IN NORTH-WEST RUSSIA: EVALUATION OF AEROSOLS INFLUENCE ON METEOROLOGICAL PARAMETERS G. Nerobelov et al. 10.24057/2071-9388-2018-11-2-73-83
- Modelling and inference of maize pollen emission rate with a Lagrangian dispersal model using Monte Carlo method O. Souhar et al. 10.1017/S0021859620000763
- Short-Term Forecast of the Carbon Monoxide Concentration Over the Moscow Region by COSMO-ART A. Revokatova et al. 10.1007/s00024-018-2001-z
- Incorporation of pollen data in source maps is vital for pollen dispersion models A. Kurganskiy et al. 10.5194/acp-20-2099-2020
- The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program H. Lappalainen et al. 10.1080/20964471.2018.1437704
2 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 22 Sep 2021
Special issue
Short summary
The Environment – HIgh Resolution Limited Area Model (Enviro-HIRLAM) is developed as a fully online integrated numerical weather prediction and atmospheric chemical transport model for research and forecasting of joint meteorological, chemical and biological weather. Different aspects of online coupling methodology, research strategy and possible applications of the modelling system, and ''fit-for-purpose'' model configurations for the meteorological and air quality communities are discussed.
The Environment – HIgh Resolution Limited Area Model (Enviro-HIRLAM) is developed as a fully...
