University of Hertfordshire

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Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model. / Chiao, Sen; Jenkins, Gregory; Ulanowski, Zbigniew; Smith, Helen.

2016. Poster session presented at 96th American Meteorological Society Annual Meeting, New Orleans, United States.

Research output: Contribution to conferencePoster

Harvard

Chiao, S, Jenkins, G, Ulanowski, Z & Smith, H 2016, 'Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model', 96th American Meteorological Society Annual Meeting, New Orleans, United States, 11/01/16 - 15/01/16.

APA

Chiao, S., Jenkins, G., Ulanowski, Z., & Smith, H. (2016). Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model. Poster session presented at 96th American Meteorological Society Annual Meeting, New Orleans, United States.

Vancouver

Chiao S, Jenkins G, Ulanowski Z, Smith H. Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model. 2016. Poster session presented at 96th American Meteorological Society Annual Meeting, New Orleans, United States.

Author

Chiao, Sen ; Jenkins, Gregory ; Ulanowski, Zbigniew ; Smith, Helen. / Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model. Poster session presented at 96th American Meteorological Society Annual Meeting, New Orleans, United States.

Bibtex

@conference{ce13b78c2ae0496ba6434c6aac0a4c8d,
title = "Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model",
abstract = "During the period of 4-27 August of 2015, the UK Ice in dust clouds experiment will take place in Cape Verde. UK_ICE-D will characterize aerosol particles and their ability to act as ice nuclei (IN) and cloud condensation nuclei (CCN) and determine their influence on cloud particles within convective and layered clouds. UK_ICE-D includes measurements from BAe146 aircraft (aerosol and cloud particle in-situ measurements, Lidar profiles, O3, CO, NOX, CH4 measurements), ground based aerosol measurements using the Manchester aerosol laboratory and radar measurements of cloud.The WRF-CHEM using the GOCART module will be used to forecast horizontal and vertical distributions of dust in Cape Verde. The model uses a grid spacing of 10 km and 31 vertical levels. These measurements will be compared to radiosondes and aerosol measurements that will provide ground level and vertical distributions of dust concentrations and size distributions. In addition we will examine the vertical biases in the models forecast of dry air and the mid-level easterly Jet during SAL events. ",
author = "Sen Chiao and Gregory Jenkins and Zbigniew Ulanowski and Helen Smith",
note = "Sen Chiao, Gregory Jenkins, Zbigniew Ulanowski, Helen Smith, {\textquoteleft}Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model{\textquoteright}, poster presented at the 96th American Meteorological Society Annual Meeting, New Orleans, USA, 11-15 January, 2016. ; 96th American Meteorological Society Annual Meeting ; Conference date: 11-01-2016 Through 15-01-2016",
year = "2016",
month = jan,
day = "11",
language = "English",

}

RIS

TY - CONF

T1 - Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model

AU - Chiao, Sen

AU - Jenkins, Gregory

AU - Ulanowski, Zbigniew

AU - Smith, Helen

N1 - Sen Chiao, Gregory Jenkins, Zbigniew Ulanowski, Helen Smith, ‘Improved understanding of the vertical distribution of simulated dust distribution in the Saharan Air Layer during the ICE-D field campaign with the WRF-CHEM model’, poster presented at the 96th American Meteorological Society Annual Meeting, New Orleans, USA, 11-15 January, 2016.

PY - 2016/1/11

Y1 - 2016/1/11

N2 - During the period of 4-27 August of 2015, the UK Ice in dust clouds experiment will take place in Cape Verde. UK_ICE-D will characterize aerosol particles and their ability to act as ice nuclei (IN) and cloud condensation nuclei (CCN) and determine their influence on cloud particles within convective and layered clouds. UK_ICE-D includes measurements from BAe146 aircraft (aerosol and cloud particle in-situ measurements, Lidar profiles, O3, CO, NOX, CH4 measurements), ground based aerosol measurements using the Manchester aerosol laboratory and radar measurements of cloud.The WRF-CHEM using the GOCART module will be used to forecast horizontal and vertical distributions of dust in Cape Verde. The model uses a grid spacing of 10 km and 31 vertical levels. These measurements will be compared to radiosondes and aerosol measurements that will provide ground level and vertical distributions of dust concentrations and size distributions. In addition we will examine the vertical biases in the models forecast of dry air and the mid-level easterly Jet during SAL events.

AB - During the period of 4-27 August of 2015, the UK Ice in dust clouds experiment will take place in Cape Verde. UK_ICE-D will characterize aerosol particles and their ability to act as ice nuclei (IN) and cloud condensation nuclei (CCN) and determine their influence on cloud particles within convective and layered clouds. UK_ICE-D includes measurements from BAe146 aircraft (aerosol and cloud particle in-situ measurements, Lidar profiles, O3, CO, NOX, CH4 measurements), ground based aerosol measurements using the Manchester aerosol laboratory and radar measurements of cloud.The WRF-CHEM using the GOCART module will be used to forecast horizontal and vertical distributions of dust in Cape Verde. The model uses a grid spacing of 10 km and 31 vertical levels. These measurements will be compared to radiosondes and aerosol measurements that will provide ground level and vertical distributions of dust concentrations and size distributions. In addition we will examine the vertical biases in the models forecast of dry air and the mid-level easterly Jet during SAL events.

M3 - Poster

T2 - 96th American Meteorological Society Annual Meeting

Y2 - 11 January 2016 through 15 January 2016

ER -