Enviro-HIRLAM online integrated meteorology–chemistry modelling system: strategy, methodology, developments and applications (v7.2)

Abstract

Abstract. The Environment -High Resolution Limited Area Model (Enviro-HIRLAM) is developed as a fully online integrated numerical weather prediction (NWP) and atmospheric chemical transport (ACT) model for research and forecasting of joint meteorological, chemical and biological weather. The integrated modelling system is developed by the Danish Meteorological Institute (DMI) in collaboration with several European universities. It is the baseline system in the HIRLAM Chemical Branch and used in several countries and different applications. The development was initiated at DMI more than 15 years ago. The model is based on the HIRLAM NWP model with online integrated pollutant transport and dispersion, chemistry, aerosol dynamics, deposition and atmospheric composition feedbacks. To make the model suitable for chemical weather forecasting in urban areas, the meteorological part was improved by implementation of urban parameterisations. The dynamical core was improved by implementing a locally mass-conserving semi-Lagrangian numerical advection scheme, which improves forecast accuracy and model performance. The current version (7.2), in comparison with previous versions, has a more advanced and cost-efficient chemistry, aerosol multi-compound approach, aerosol feedbacks (direct and semi-direct) on radiation and (first and second indirect effects) on cloud microphysics. Since 2004, the Enviro-HIRLAM has been used for different studies, including operational pollen forecasting for Denmark since 2009 and operational forecasting atmospheric composition with downscaling for China since 2017. Following the main research and development strategy, further model developments will be extended towards the new NWP platform -HARMONIE. 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.

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

“…These broadband optical properties were used by HLRADIA, the simplest radiation scheme available in HARMONIE-AROME, employing the approach in Enviro-HIRLAM [4,10]. The impact of the updated aerosol optical properties on the radiative fluxes and temperature tendencies was studied in single-column MUSC experiments.…”

“…Thus, no climatological or other gridded aerosol load data are used. The treatment of aerosol data and IOPs by HLRADIA was renewed in the Enviro-HIRLAM modelling environment using GADS/OPAC data [24,25] and software as suggested in [4]. The aerosol optical properties were derived from GADS/OPAC ME, SSA and ASY and then remapped to the default AOD550 input of 6 aerosol species and spectrally averaged to get the broadband SW and LW values.…”

“…This progress is due to advances in global modelling, theoretical developments and improved observations. Integrated weather-chemistry models [1][2][3][4][5][6] simulate the MUSC [30], is used as the tool to test the impact of aerosols on the radiative fluxes and atmospheric temperature tendencies due to radiation.…”

“…Finally, the weighted average over the 14 SW and 16 LW spectral bands defines the needed LW and SW broadband values of AOD, SSA and ASY of the aerosol mixture at each point of the 3D grid at each time-step. For the spectral weighting, the wavelength distribution of solar and terrestrial radiation was applied as in [4].…”

The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program

“…The examples of the tools span from atmospheric clusters to regional air quality, global climate, and Earth System Models (ESMs) and may include cluster models like ACDC (McGrath et al, 2012), boundary layer models like SOSA (Boy et al, 2011) coupled with models simulating both aerosol dynamics and gas-phase chemistry like ADCHAM (Roldin et al, 2015) and MALTE-BOX (Boy et al, 2013), chemical transport models like WRF-Chem (Grell et al 2005), seamless meteorology-chemistry-aerosols integrated model like Enviro-HIRLAM (Baklanov et al, 2017), and Earth System models like EC-EARTH (Hazeleger et al, 2012). Earth System Models are used to assess the impact of Russian and Chinese emissions on the boreal and the Arctic atmosphere between 1750 and 2100.…”