Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model. (June 2022)
- Record Type:
- Journal Article
- Title:
- Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model. (June 2022)
- Main Title:
- Evaluation of a new internally-mixed aerosol optics scheme in the weather research and forecasting model
- Authors:
- Wang, Zheng
Bi, Lei
Wang, Hong
Wang, Yaqiang
Han, Wei
Zhang, Xiaoye - Abstract:
- Highlights: A new internally-mixed aerosol optics scheme was developed. Artificial neural networks were used to parameterize aerosol optical properties. The inhomogeneous aerosol model had lower absorption than the well-mixed model. The optics scheme was evaluated using the Weather Research and Forecasting model. The impact of particle inhomogeneity was obvious in the planetary boundary layer. Abstract: A new internally-mixed aerosol optics scheme was developed. Aerosols (organic carbon, sea salt, aerosol water, sulfate, and nitrate) were assumed to be internally mixed with black carbon and soil dust (BC and SD, respectively), both of which are treated as cores. In the SD-containing particles, the particle non-sphericity was incorporated. Aerosol optical properties were computed from the invariant imbedding T-matrix method and the Lorenz–Mie theory and then parameterized using a novel method involving artificial neural networks (ANN). The new scheme was evaluated using the Weather Research and Forecasting (WRF) model. A case study involving East Asia was performed on Dec 3-4, 2010. Compared to uniformly mixed aerosols, inhomogeneous mixed aerosols had lower absorbability and stronger solar backscattering, causing a positive aerosol direct radiative effect (DRE) bias at the surface (3.0 and 2.6 W/m 2 for the Sichuan Basin and Northern China, respectively) and negative DRE bias at the top of atmosphere ([TOA], −3.5 and −2.2 W/m 2, respectively). Inhomogeneity effects caused aHighlights: A new internally-mixed aerosol optics scheme was developed. Artificial neural networks were used to parameterize aerosol optical properties. The inhomogeneous aerosol model had lower absorption than the well-mixed model. The optics scheme was evaluated using the Weather Research and Forecasting model. The impact of particle inhomogeneity was obvious in the planetary boundary layer. Abstract: A new internally-mixed aerosol optics scheme was developed. Aerosols (organic carbon, sea salt, aerosol water, sulfate, and nitrate) were assumed to be internally mixed with black carbon and soil dust (BC and SD, respectively), both of which are treated as cores. In the SD-containing particles, the particle non-sphericity was incorporated. Aerosol optical properties were computed from the invariant imbedding T-matrix method and the Lorenz–Mie theory and then parameterized using a novel method involving artificial neural networks (ANN). The new scheme was evaluated using the Weather Research and Forecasting (WRF) model. A case study involving East Asia was performed on Dec 3-4, 2010. Compared to uniformly mixed aerosols, inhomogeneous mixed aerosols had lower absorbability and stronger solar backscattering, causing a positive aerosol direct radiative effect (DRE) bias at the surface (3.0 and 2.6 W/m 2 for the Sichuan Basin and Northern China, respectively) and negative DRE bias at the top of atmosphere ([TOA], −3.5 and −2.2 W/m 2, respectively). Inhomogeneity effects caused a large reduction (up to 0.2K) in the atmospheric warming above the planetary boundary layer (PBL) and caused a northerly anomaly at 850 hPa on the order of 0.3 m/s. The non-sphericity effect was only significant over the Tarim Basin. DREs related to non-sphericity decreased at both the surface and TOA (−1.0 and −0.6 W/m 2, respectively) due to stronger extinction. Non-sphericity caused more surface dimming and more solar heating, which had opposite effects on temperature perturbation, producing a more obvious impact within the PBL than in the free atmosphere. … (more)
- Is Part Of:
- Journal of quantitative spectroscopy & radiative transfer. Volume 283(2022)
- Journal:
- Journal of quantitative spectroscopy & radiative transfer
- Issue:
- Volume 283(2022)
- Issue Display:
- Volume 283, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 283
- Issue:
- 2022
- Issue Sort Value:
- 2022-0283-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06
- Subjects:
- Aerosol optics scheme -- Non-sphericity -- Inhomogeneity -- WRF -- sensitivity study
Spectrum analysis -- Periodicals
Radiation -- Periodicals
Analyse spectrale -- Périodiques
Rayonnement -- Périodiques
Radiation
Spectrum analysis
Periodicals
543.0858 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00224073 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jqsrt.2022.108147 ↗
- Languages:
- English
- ISSNs:
- 0022-4073
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5043.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21293.xml