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Representation of tropical deep convection in atmospheric models - Part 1: Meteorology and comparison with satellite observations

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Representation of tropical deep convection in atmospheric models - Part 1 : Meteorology and comparison with satellite observations. / Russo, M. R.; Marecal, V.; Hoyle, C. R.; Arteta, J.; Chemel, C.; Chipperfield, M. P.; Dessens, O.; Feng, W.; Hosking, J. S.; Telford, P. J.; Wild, O.; Yang, X.; Pyle, J. A.

In: Atmospheric Chemistry and Physics , Vol. 11, No. 6, 25.03.2011, p. 2765-2786.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Russo, MR, Marecal, V, Hoyle, CR, Arteta, J, Chemel, C, Chipperfield, MP, Dessens, O, Feng, W, Hosking, JS, Telford, PJ, Wild, O, Yang, X & Pyle, JA 2011, 'Representation of tropical deep convection in atmospheric models - Part 1: Meteorology and comparison with satellite observations', Atmospheric Chemistry and Physics , vol. 11, no. 6, pp. 2765-2786. https://doi.org/10.5194/acp-11-2765-2011

APA

Russo, M. R., Marecal, V., Hoyle, C. R., Arteta, J., Chemel, C., Chipperfield, M. P., Dessens, O., Feng, W., Hosking, J. S., Telford, P. J., Wild, O., Yang, X., & Pyle, J. A. (2011). Representation of tropical deep convection in atmospheric models - Part 1: Meteorology and comparison with satellite observations. Atmospheric Chemistry and Physics , 11(6), 2765-2786. https://doi.org/10.5194/acp-11-2765-2011

Vancouver

Russo MR, Marecal V, Hoyle CR, Arteta J, Chemel C, Chipperfield MP et al. Representation of tropical deep convection in atmospheric models - Part 1: Meteorology and comparison with satellite observations. Atmospheric Chemistry and Physics . 2011 Mar 25;11(6):2765-2786. https://doi.org/10.5194/acp-11-2765-2011

Author

Russo, M. R. ; Marecal, V. ; Hoyle, C. R. ; Arteta, J. ; Chemel, C. ; Chipperfield, M. P. ; Dessens, O. ; Feng, W. ; Hosking, J. S. ; Telford, P. J. ; Wild, O. ; Yang, X. ; Pyle, J. A. / Representation of tropical deep convection in atmospheric models - Part 1 : Meteorology and comparison with satellite observations. In: Atmospheric Chemistry and Physics . 2011 ; Vol. 11, No. 6. pp. 2765-2786.

Bibtex

@article{a4de57b2ceb3497b92e4b522d54fa133,
title = "Representation of tropical deep convection in atmospheric models - Part 1: Meteorology and comparison with satellite observations",
abstract = "Fast convective transport in the tropics can efficiently redistribute water vapour and pollutants up to the upper troposphere. In this study we compare tropical convection characteristics for the year 2005 in a range of atmospheric models, including numerical weather prediction (NWP) models, chemistry transport models (CTMs), and chemistry-climate models (CCMs). The model runs have been performed within the framework of the SCOUT-O3 (Stratospheric-Climate Links with Emphasis on the Upper Troposphere and Lower Stratosphere) project. The characteristics of tropical convection, such as seasonal cycle, land/sea contrast and vertical extent, are analysed using satellite observations as a benchmark for model simulations. The observational datasets used in this work comprise precipitation rates, outgoing longwave radiation, cloud-top pressure, and water vapour from a number of independent sources, including ERA-Interim analyses. Most models are generally able to reproduce the seasonal cycle and strength of precipitation for continental regions but show larger discrepancies with observations for the Maritime Continent region. The frequency distribution of high clouds from models and observations is calculated using highly temporally-resolved (up to 3-hourly) cloud top data. The percentage of clouds above 15 km varies significantly between the models. Vertical profiles of water vapour in the upper troposphere-lower stratosphere (UTLS) show large differences between the models which can only be partly attributed to temperature differences. If a convective plume reaches above the level of zero net radiative heating, which is estimated to be similar to 15 km in the tropics, the air detrained from it can be transported upwards by radiative heating into the lower stratosphere. In this context, we discuss the role of tropical convection as a precursor for the transport of short-lived species into the lower stratosphere.",
keywords = "CHEMICAL-TRANSPORT MODEL, GENERAL-CIRCULATION MODEL, HIGH-LEVEL CLOUDS, WATER-VAPOR, TRACER TRANSPORT, GLOBAL PRECIPITATION, LOWER STRATOSPHERE, CUMULUS PARAMETERIZATIONS, AIRCRAFT MEASUREMENTS, MARITIME CONTINENT",
author = "Russo, {M. R.} and V. Marecal and Hoyle, {C. R.} and J. Arteta and C. Chemel and Chipperfield, {M. P.} and O. Dessens and W. Feng and Hosking, {J. S.} and Telford, {P. J.} and O. Wild and X. Yang and Pyle, {J. A.}",
year = "2011",
month = mar,
day = "25",
doi = "10.5194/acp-11-2765-2011",
language = "English",
volume = "11",
pages = "2765--2786",
journal = "Atmospheric Chemistry and Physics ",
issn = "1680-7316",
publisher = "Copernicus GmbH (Copernicus Publications) on behalf of the European Geosciences Union (EGU)",
number = "6",

}

RIS

TY - JOUR

T1 - Representation of tropical deep convection in atmospheric models - Part 1

T2 - Meteorology and comparison with satellite observations

AU - Russo, M. R.

AU - Marecal, V.

AU - Hoyle, C. R.

AU - Arteta, J.

AU - Chemel, C.

AU - Chipperfield, M. P.

AU - Dessens, O.

AU - Feng, W.

AU - Hosking, J. S.

AU - Telford, P. J.

AU - Wild, O.

AU - Yang, X.

AU - Pyle, J. A.

PY - 2011/3/25

Y1 - 2011/3/25

N2 - Fast convective transport in the tropics can efficiently redistribute water vapour and pollutants up to the upper troposphere. In this study we compare tropical convection characteristics for the year 2005 in a range of atmospheric models, including numerical weather prediction (NWP) models, chemistry transport models (CTMs), and chemistry-climate models (CCMs). The model runs have been performed within the framework of the SCOUT-O3 (Stratospheric-Climate Links with Emphasis on the Upper Troposphere and Lower Stratosphere) project. The characteristics of tropical convection, such as seasonal cycle, land/sea contrast and vertical extent, are analysed using satellite observations as a benchmark for model simulations. The observational datasets used in this work comprise precipitation rates, outgoing longwave radiation, cloud-top pressure, and water vapour from a number of independent sources, including ERA-Interim analyses. Most models are generally able to reproduce the seasonal cycle and strength of precipitation for continental regions but show larger discrepancies with observations for the Maritime Continent region. The frequency distribution of high clouds from models and observations is calculated using highly temporally-resolved (up to 3-hourly) cloud top data. The percentage of clouds above 15 km varies significantly between the models. Vertical profiles of water vapour in the upper troposphere-lower stratosphere (UTLS) show large differences between the models which can only be partly attributed to temperature differences. If a convective plume reaches above the level of zero net radiative heating, which is estimated to be similar to 15 km in the tropics, the air detrained from it can be transported upwards by radiative heating into the lower stratosphere. In this context, we discuss the role of tropical convection as a precursor for the transport of short-lived species into the lower stratosphere.

AB - Fast convective transport in the tropics can efficiently redistribute water vapour and pollutants up to the upper troposphere. In this study we compare tropical convection characteristics for the year 2005 in a range of atmospheric models, including numerical weather prediction (NWP) models, chemistry transport models (CTMs), and chemistry-climate models (CCMs). The model runs have been performed within the framework of the SCOUT-O3 (Stratospheric-Climate Links with Emphasis on the Upper Troposphere and Lower Stratosphere) project. The characteristics of tropical convection, such as seasonal cycle, land/sea contrast and vertical extent, are analysed using satellite observations as a benchmark for model simulations. The observational datasets used in this work comprise precipitation rates, outgoing longwave radiation, cloud-top pressure, and water vapour from a number of independent sources, including ERA-Interim analyses. Most models are generally able to reproduce the seasonal cycle and strength of precipitation for continental regions but show larger discrepancies with observations for the Maritime Continent region. The frequency distribution of high clouds from models and observations is calculated using highly temporally-resolved (up to 3-hourly) cloud top data. The percentage of clouds above 15 km varies significantly between the models. Vertical profiles of water vapour in the upper troposphere-lower stratosphere (UTLS) show large differences between the models which can only be partly attributed to temperature differences. If a convective plume reaches above the level of zero net radiative heating, which is estimated to be similar to 15 km in the tropics, the air detrained from it can be transported upwards by radiative heating into the lower stratosphere. In this context, we discuss the role of tropical convection as a precursor for the transport of short-lived species into the lower stratosphere.

KW - CHEMICAL-TRANSPORT MODEL

KW - GENERAL-CIRCULATION MODEL

KW - HIGH-LEVEL CLOUDS

KW - WATER-VAPOR

KW - TRACER TRANSPORT

KW - GLOBAL PRECIPITATION

KW - LOWER STRATOSPHERE

KW - CUMULUS PARAMETERIZATIONS

KW - AIRCRAFT MEASUREMENTS

KW - MARITIME CONTINENT

U2 - 10.5194/acp-11-2765-2011

DO - 10.5194/acp-11-2765-2011

M3 - Journal article

VL - 11

SP - 2765

EP - 2786

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

IS - 6

ER -