<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.atmos-chem-phys-discuss.net/inc/acpd/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>8</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-2085-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/2085/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/2085/2008/acpd-8-2085-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/2085/2008/acpd-8-2085-2008.pdf</fulltext_pdf>
	<start_page>2085</start_page>
	<end_page>2127</end_page>
	<publication_date>2008-02-05</publication_date>
	<article_title content_type="html">Evaluation of the atmospheric transport in a GCM using radon measurements: sensitivity to cumulus convection parameterization</article_title>
	<authors>
		<author numeration="1" affiliations="1,4">
			<name>K. Zhang</name>
			<email>kai.zhang@zmaw.de</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>H. Wan</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>M. Zhang</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>B. Wang</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China</affiliation>
		<affiliation numeration="2" content_type="html">International Max Planck Research School on Earth System Modelling, Hamburg, Germany</affiliation>
		<affiliation numeration="3" content_type="html">LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China</affiliation>
		<affiliation numeration="4" content_type="html">Graduate School of the Chinese Academy of Sciences, Beijing, China</affiliation>
	</affiliations>
	<abstract content_type="html">The radioactive species radon (&lt;sup&gt;222&lt;/sup&gt;Rn) has long been
used as a test tracer for the numerical simulation of large scale
transport processes. In this study, radon transport experiments
are carried out using an atmospheric GCM with a finite-difference
dynamical core, the van Leer type FFSL advection algorithm and two
state-of-the-art cumulus convection parameterization schemes.
Measurements of surface concentration and vertical distribution of
radon collected from literature are used as references in model
evaluation.
&lt;br&gt;&lt;/br&gt;
The simulated radon concentrations using both convection schemes
turn out to be consistent with earlier studies with many other
models. Comparison with measurements indicates that at the
locations where significant seasonal variations are observed in
reality, the model can reproduce both the monthly mean surface
radon concentration and the annual cycle quite well. At those
sites where the seasonal variation is not large, the model is able
to give a correct magnitude of the annual mean. In East Asia,
where radon simulations are rarely reported in literature,
detailed analysis shows that our results compare reasonably well
with the observations.
&lt;br&gt;&lt;/br&gt;
The most evident changes caused by the use of a different
convection scheme are found in the vertical distribution of the
tracer. The scheme associated with a weaker upward transport gives
higher radon concentration up to about 6 km above the surface, and
lower values in higher altitudes. In the lower part of the
atmosphere results from this scheme does not agree as well with
the measurements as the other scheme. Differences from 6 km to the
model top are even larger, although we are not yet able to tell
which simulation is better due to the lack of observations at such
high altitudes.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Arakawa, A.: The Cumulus Parameterization Problem: Past, Present, and Future, J Climate, 17, 2493&amp;ndash;2525, 2004. </reference>
		<reference numeration="2" content_type="text"> Bechtold, P., Chaboureau, J.-P., Beljaars, A., Betts, A K., KÃ¶hler, M., Miller, M., and Redelsperger, J.-L.: The simulation of the diurnal cycle of convective precipitation over land in a global model, Q. J. R. Meteor. Soc., 130, 3119&amp;ndash;3137, 2004. </reference>
		<reference numeration="3" content_type="text"> Boville, B A. and Bretherton, C S.: Heating and dissipation in the NCAR community atmosphere model, J Climate, 16, 3877&amp;ndash;3887, 2003. </reference>
		<reference numeration="4" content_type="text"> Cheng, J., Guo, Q., and Ren, T.: Radon levels in China, J. Nucl. Sci. Technol., 39, 695&amp;ndash;699, 2002. </reference>
		<reference numeration="5" content_type="text"> Collins, W D., Hack, J., Boville, B., Williamson, P. R. D L., Kiehl, J T., Briegleb, B., McCaa, J R., Bitz, C., Lin, S.-J., Rood, R B., Zhang, M., and Dai, Y.: Description of the NCAR Community Atmosphere Model (CAM2)., Ncar technical report, National Center for Atmospheric Research, available at http://www.ccsm.ucar.edu/models/atm-cam/docs/cam2.0/, 2003. </reference>
		<reference numeration="6" content_type="text"> Conen, F. and Robertson, L B.: Latitudinal distribution of radon-222 flux from continents., Tellus, 54B, 127&amp;ndash;133, 2002. </reference>
		<reference numeration="7" content_type="text"> Considine, D B., Bergmann, D J., and Liu, H.: Sensitivity of Global Modeling Initiative chemistry and transport model simulations of radon-222 and lead-210 to input meteorological data., Atmos. Chem. Phys., 5, 5325&amp;ndash;5372, 2005. </reference>
		<reference numeration="8" content_type="text"> Dentener, F., Feichter, J., and Jeuken, A.: Simulation of $^222$Radon using on-line and off-line global models., Tellus B, 51, 573&amp;ndash;602, 1999. </reference>
		<reference numeration="9" content_type="text"> Feichter, J. and Crutzen, P J.: Parameterization of vertical tracer transport due to deep cumulus convection in a global transport model and its evaluation with 222Radon measurements., Tellus B, 42, 100&amp;ndash;117, 1990. </reference>
		<reference numeration="10" content_type="text"> Genthon, C. and Armengaud, A.: Radon 222 as a comparative tracer of transport and mixing in two general circulation models of the atmosphere., J. Geophys. Res., 100, 2849&amp;ndash;2866, 1995. </reference>
		<reference numeration="11" content_type="text"> Guelle, W., Balkanski, Y J., Schulz, M., Dulac, F., and Monfray, P.: Wet deposition in a global size-dependent aerosol transport model. 1. Comparison of a 1 year $^210$Pb simulation with ground measurements., J. Geophys. Res., 103, 11 429&amp;ndash;11 445, 1998. </reference>
		<reference numeration="12" content_type="text"> Hack, J J.: Parameterization of moist convection in the National Center for Atmospheric Research Community Climate Model (CCM2), J. Geophys. Res., 99, 5551&amp;ndash;5568, 1994. </reference>
		<reference numeration="13" content_type="text"> Heimann, M., Monfray, P., and Polian, G.: Modeling the long-range transport of $^222$Rn to subantarctic and arctic areas, Tellus B, 42, 83&amp;ndash;99, 1990. </reference>
		<reference numeration="14" content_type="text"> Holtslag, A. A M. and Boville, B A.: Local versus nonlocal boundary-layer diffusion in a global climate model, J Climate, 6, 1825&amp;ndash;1842, 1993. </reference>
		<reference numeration="15" content_type="text"> Jacob, D J., Prather, M J., and Rasch, P J.,: Evaluation and intercomparison of global atmospheric transport models using $^222$Rn and other short-lived tracers., J. Geophys. Res., 102, 5953&amp;ndash;5970, 1997. </reference>
		<reference numeration="16" content_type="text"> Jin, Y I., Iida, T., Wang, Z., Ikebe, Y., and Abe, S.: A subnationwide survey of outdoor and indoor $^222$Rn concentrations in China by passive Method. Radon and thoron in the human environment, in: Radon and Thorn in the Human Environment, edited by: Katase, A., and Shimo, M., Proceedings of the 7th Tohwa University International Symposium, World Scientific Publishing Co. Pre. Ltd., pp. 276&amp;ndash;281, Singapore, 1998. </reference>
		<reference numeration="17" content_type="text"> Kritz, M A., Rosner, S W., and Stockwell, D Z.: Validation of an offline three-dimensional chemical transport model using observed radon profiles &amp;ndash; 1. Observations, J. Geophys. Res., 103, 8425&amp;ndash;8432, 1998. </reference>
		<reference numeration="18" content_type="text"> Lambert, G., Polian, G., Sanak, J., Ardouin, B., Buisson, A., Jegou, A., and Le~Roulley, J.: Cycle du radon et de ses descendants: application Ã  l&apos;Ã©tude des Ã©changes troposphÃ¨re-stratosphÃ¨re, Ann. GÃ©ophys., 38, 497&amp;ndash;531, 1982. </reference>
		<reference numeration="19" content_type="text"> Lee, H N. and Feichter, J.: An intercomparison of wet precipitation scavenging schemes and the emission rates of $^222$Rn for the simulation of global transport and deposition of $^210$Pb, J. Geophys. Res., 54, 23 252&amp;ndash;23 270, 1995. </reference>
		<reference numeration="20" content_type="text"> Lin, S J. and Rood, R B.: Multidimensional flux-form semi-Lagrangian transport schemes., Mon. Weather Rev., 124, 2046&amp;ndash;2070, 1996. </reference>
		<reference numeration="21" content_type="text"> Liu, P., Wang, B., Sperber, K R., Li, T., and Meehl, G A.: MJO in the NCAR CAM2 with the Tiedtke Convective Scheme, J Climate, 18, 3007&amp;ndash;3020, 2005. </reference>
		<reference numeration="22" content_type="text"> Liu, S C., McAfee, J R., and Cicerone, R J.: Radon 222 and tropospheric vertical transport., J. Geophys. Res., 89, 7291&amp;ndash;7297, 1984. </reference>
		<reference numeration="23" content_type="text"> Mahowald, N M., Rasch, P., and Prinn, R G.: Cumulus parameterizations in chemical transport models., J. Geophys. Res., 100, 26 173&amp;ndash;26 189, 1995. </reference>
		<reference numeration="24" content_type="text"> Mahowald, N M., Rasch, P J., Eaton, B E., Whittlestone, S., and Prinn, R G.: Transport of $^222$radon to the remote troposphere using the Model of Atmospheric Transport and Chemistry and assimilated winds from ECMWF and the National Center for Environmental Prediction/NCAR., J. Geophys. Res., 102, 28 139&amp;ndash;28 151, 1997. </reference>
		<reference numeration="25" content_type="text"> Martens, C S., Shay, T J., Mendlovitz, H P., Matross, D M., Saleska, S R., Wofsy, S. C., Menton, W. S W., Moura, M C., Crill, P. M., De Moraes, O. L. L., and Lima, R L.: Radon fluxes in tropical forest ecosystems of Brazilian Amazonia: night-time CO&lt;sub&gt;2&lt;/sub&gt; net ecosystem exchange derived from radon and eddy covariance methods, Glob. Change Biol., 10, 618&amp;ndash;629, 2004. </reference>
		<reference numeration="26" content_type="text"> Nordeng, T E.: Extended versions of the convective parametrization scheme at ECMWF and their impact on the mean and transient activity of the model in the tropics, ECMWF Research Department, Technical Momorandum 206, European Centre for Medium-Range Weather Forecast, Reading, UK, 618&amp;ndash;629, 1994. </reference>
		<reference numeration="27" content_type="text"> OliviÃ©, D. J L., van Velthoven, P. F J., and Beljaars, A. C M.: Evaluation of off-line diagnosed vertical diffusion coefficients from ERA-40 with $^222$Rn simulations., Atmos. Chem. Phys., 4, 2313&amp;ndash;2336, 2004. </reference>
		<reference numeration="28" content_type="text"> Ramonet, M., Schmidt, M., PÃ©pin, L., Kazan, V., Picard, D., Filippi, D., Jourd&apos;heuil, L., Valant, C., Monvoisin, G., Sarda, R., and Ciais, P.: The French Trace Gas Monitoring Program RAMCES, WMO/GAW Report 148, WMO/GAW, Hamburg, Germany, 136&amp;ndash;148, 2003. </reference>
		<reference numeration="29" content_type="text"> Rasch, P J. and Kristjansson, J E.: A comparison of the CCM3 model climate using diagnosed and predicted condensate parameterizations, J Climate, 11, 1587&amp;ndash;1614, 1998. </reference>
		<reference numeration="30" content_type="text"> Rasch, P J., Mahowald, N M., and Eaton, B E.: Representations of transport, convection and the hydrologic cycle in chemical transport models: Implications for the modeling of short-lived and soluble species, J. Geophys. Res., 102, 28 127&amp;ndash;28 138, 1997. </reference>
		<reference numeration="31" content_type="text"> Rasch, P J., Feichter, J., and Law, K.: A comparison of scavenging and deposition processes in global models: results from the WCRP Cambridge Workshop of 1995, Tellus, 52B, 1025&amp;ndash;1056, 2000. </reference>
		<reference numeration="32" content_type="text"> Reithmeier, C. and Sausen, R.: ATTILA atmospheric tracer transport in a Lagrangian model, Tellus B, 54, 278&amp;ndash;299, 2002. </reference>
		<reference numeration="33" content_type="text"> Roeckner, E., Arpe, K., Bengtsson, L., Christoph, M., Claussen, M., DÃ¼menil, L., Esch, M., Giorgetta, M., Schlese, U., and Schulzweida, U.: The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate, MPI Technical Report 218, Max Planck Institute for Meteorology, Hamburg, Germany, 1996. </reference>
		<reference numeration="34" content_type="text"> Roeckner, E., BÃ¤uml, G., and Bonaventura, L.: The atmospheric general circulation model ECHAM 5. PART I: model description., MPI Technical Report 349, Max Planck Institute for Meteorology, Hamburg, Germany, 2003. </reference>
		<reference numeration="35" content_type="text"> Roeckner, E., Brokopf, R., Esch, M., Giorgetta, M A., Hagemann, S., Kornblueh, L., Manzini, E., Schlese, U., and Schulzweida, U.: Sensitivity of Simulated Climate to Horizontal and Vertical Resolution in the ECHAM5 Atmosphere Model., J Climate, 19, 3771&amp;ndash;3791, 2006. </reference>
		<reference numeration="36" content_type="text"> Schery, S D. and Wasiolek, M A.: Modeling Radon Flux from the Earth¡¯s Surface., in: Radon and Thorn in the Human Environment. Proceedings of the 7th Tohwa University International Symposium., edited by: Katase, A. and Shimo, M., World Scientific Publishing Co. Pre. Ltd., pp. 73&amp;ndash;78, Singapore, 1998. </reference>
		<reference numeration="37" content_type="text"> Shi, H.-B., Zhou, T.-J., Wan, H., Wang, B., and Yu, R.-C.: SMIP2 Experiment-based Analysis on the Simulation and Potential Predictability of Asian Summer Monsoon, Chinese J. Atmos. Sci., 2007. </reference>
		<reference numeration="38" content_type="text"> Tiedtke, M.: A comprehensive mass flux scheme for cumulus parameterization in large scale models, Mon. Weather. Rev., 117, 1779&amp;ndash;1800, 1989. </reference>
		<reference numeration="39" content_type="text"> Tost, H., JÃ¶ckel, P., and Lelieveld, J.: Influence of different convection parameterisations in a GCM., Atmos. Chem. Phys., 6, 5475&amp;ndash;5493, 2006. </reference>
		<reference numeration="40" content_type="text"> Turekian, K K., Nozaki, Y., and Benninger, L K.: Geochemistry of atmospheric radon and radon products., Annual Review of Earth Planetary Sciences, 5, 227&amp;ndash;255, 1977. </reference>
		<reference numeration="41" content_type="text"> van Ulden, A P. and van Oldenborgh, G J.: Large-scale atmospheric circulation biases and changes in global climate model simulations and their importance for climate change in Central Europe, Atmos. Chem. Phys., 6, 863&amp;ndash;881, 2006. </reference>
		<reference numeration="42" content_type="text"> Wan, H., Wang, B., and Yu, R.: Development and validation of the gridpoint atmospheric model of IAP LASG (GAMIL), Technical Report~16, LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, P. R. China, p. 78, 2006. </reference>
		<reference numeration="43" content_type="text"> Wang, B. and Ji, Z.-Z.: New numerical methods in atmospheric sciences and their applications, Science Press, Beijing, P. R. China, (in Chinese), p. 208, 2006. </reference>
		<reference numeration="44" content_type="text"> Wang, B., Wan, H., and Ji, Z.: Design of a new dynamical core for global atmospheric models based on some efficient numerical methods., Science in China, Series A, 47, 4&amp;ndash;21, 2004. </reference>
		<reference numeration="45" content_type="text"> Yang, J.-L., Wang, B., Guo, Y.-F., Wan, H., and Ji, Z.-Z.: Comparison Between GAMIL and CAM2 on Interannual Variability Simulation, Adv. Atmos. Sci., 24, 82&amp;ndash;88, 2007. </reference>
		<reference numeration="46" content_type="text"> Yu, R.: A Two-step shape-preserving advection scheme., Adv. Atmos. Sci., 11(4), 479&amp;ndash;490, 1994. </reference>
		<reference numeration="47" content_type="text"> Yu, Y., Zheng, W., Wang, B., Wan, H., Liu, H., Li, W., and Zhou, T.: Coupled Model Simulations of Climate Changes in the 20th Century and Future, Adv. Atmos. Sci., accepted, 2007. </reference>
		<reference numeration="48" content_type="text"> Zaucker, F., Daum, P H., Wetterauer, U., Berkowitz, C., Kromer, B., and Broecker, W S.: Atmospheric $^222$Rn measurements during the 1993 NARE Intensive, J. Geophys. Res., 101, 29 149&amp;ndash;29 164, 1996. </reference>
		<reference numeration="49" content_type="text"> Zeng, Q., Yuna, C., Zhang, X., and Bao, N.: Tests of the finite-difference schemes of a general circulation model, Acta Meteorologica Sinica, 43, 441&amp;ndash;449, 1985. </reference>
		<reference numeration="50" content_type="text"> Zhang, G J. and McFarlane, N A.: Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre general circulation model, Atmos.-Ocean, 33, 407&amp;ndash;446, 1995. </reference>
		<reference numeration="51" content_type="text"> Zhang, K., Wan, H., Wang, B., and Zhang, M G.: Consistency problem with tracer advection in the atmospheric model GAMIL, Adv. Atmos. Sci., accepted, (available from www.mpimet.mpg.de/\textasciitilde wan.hui), 2007. </reference>
	</references>
</article>

