349:(computer simulation) designed to model certain aspects of the Earth's atmosphere. TCAM is one of several chemical transport models, all of which are concerned with the movement of chemicals in the atmosphere, and are thus used in the study of air pollution.
100:; this allows feedbacks from the CTM to the GCM's radiation calculations, and also allows the meteorological fields forcing the CTM to be updated at higher time resolution than may be practical in studies with offline CTMs.
502:
Horowitz, Larry W.; Stacy
Walters; Denise L. Mauzerall; Louisa K. Emmons; Philip J. Rasch; Claire Granier; Xuexi Tie; Jean-François Lamarque; Martin G. Schultz; Geoffrey S. Tyndall; John J. Orlando; Guy P. Brasseur (2003).
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CTMs may be classified according to their methodology and their species of interest, as well as more generic characteristics (e.g. dimensionality, degree of resolution).
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three-dimensional eulerian grid model (as opposed to lagrangian or other modeling methods). It is designed for modelling dispersion of pollutants (in particular
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505:"A global simulation of tropospheric ozone and related tracers: Description and evaluation of MOZART, version 2"
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declines over time, is for GCMs to incorporate CTMs for species of special interest to
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ESMA (Environmental
Systems Modeling and Assessment) group of University of Brescia
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chemical and transport processes, but has been extended (MOZART3) into the
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561:. Lecture Notes in Networks and Systems (No. 58). Springer. p. 18.
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143:, while a Lagrangian CTM uses a local/moving frame of reference.
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68:; but a CTM will be expected to accurately represent the entire
52:), a CTM instead focuses on the stocks and flows of one or more
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44:(GCMs) focus on simulating overall atmospheric dynamics (e.g.
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models, depending on whether the CTM in question focuses on
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Atmospheric, oceanographic, cryospheric, and climate models
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Emetere, Moses
Eterigho; Akinlabi, Esther Titilayo (2020).
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Chemical transport models and general circulation models
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for its species of interest, a GCM must solve all the
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84:. That being said, the tendency, especially as the
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658:University Corporation for Atmospheric Research
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345:(Transport Chemical Aerosol Model; TCAM): a
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92:, especially shorter-lived species such as
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163:discussion of the continuity equation in
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663:National Center for Atmospheric Research
248:National Center for Atmospheric Research
72:for the species of interest, including
56:. Similarly, a CTM must solve only the
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1466:Construction and management simulation
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805:
717:
681:
653:List of atmospheric dispersion models
463:Introduction to Atmospheric Chemistry
459:
252:Geophysical Fluid Dynamics Laboratory
242:racers) is developed jointly by the (
167:Introduction to Atmospheric Chemistry
1543:Numerical climate and weather models
1502:List of computer simulation software
993:Regional and mesoscale oceanographic
256:Max Planck Institute for Meteorology
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159:Lagrangian and Eulerian coordinates
13:
935:Regional and mesoscale atmospheric
273:. MOZART was designed to simulate
104:Types of chemical transport models
14:
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258:(MPI-Met) to simulate changes in
80:), chemical production/loss, and
116:Jacob (1999) classifies CTMs as
111:
1548:Atmospheric dispersion modeling
1430:Integrated assessment modelling
759:Atmospheric dispersion modeling
754:Tropical cyclone forecast model
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648:Atmospheric dispersion modeling
513:Journal of Geophysical Research
285:. It can be driven by standard
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289:fields from, for example, the
1:
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347:mathematical modelling method
301:. MOZART4 improves MOZART2's
1399:Hydrological transport model
1353:Protein structure prediction
1348:Modelling biological systems
1159:Land surface parametrization
749:Numerical weather prediction
634:Larry Horowitz's MOZART page
7:
1343:Metabolic network modelling
392:Examples of Lagrangian CTMs
146:
135:An Eulerian CTM solves its
10:
1569:
1456:Business process modelling
468:Princeton University Press
381:TCAM was developed at the
317:emissions and handling of
299:general circulation models
98:volatile organic compounds
42:general circulation models
24:which typically simulates
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784:Meteorological reanalysis
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175:Examples of Eulerian CTMs
30:air pollution forecasting
1374:Chemical transport model
1338:Infectious disease model
769:Upper-atmospheric models
764:Chemical transport model
443:
22:computer numerical model
18:chemical transport model
779:Model output statistics
604:Air Dispersion Modeling
1042:Atmospheric dispersion
460:Jacob, Daniel (1999).
429:Examples of ozone CTMs
1507:Mathematical modeling
1451:Biopsychosocial model
383:University of Brescia
139:using a global/fixed
26:atmospheric chemistry
1461:Catastrophe modeling
1307:Scientific modelling
1260:Scientific modelling
774:Ensemble forecasting
535:10.1029/2002JD002853
411:Semi-Lagrangian CTMs
137:continuity equations
1553:Transport phenomena
1404:Modular Ocean Model
1265:Computer simulation
734:Oceanographic model
526:2003JGRD..108.4784H
303:chemical mechanisms
62:primitive equations
58:continuity equation
20:(CTM) is a type of
1497:Data visualization
1481:Input–output model
1394:Hydrological model
1384:Geologic modelling
1250:Mathematical model
1185:Cryospheric models
1128:Chemical transport
470:. pp. 75–85.
141:frame of reference
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1389:Groundwater model
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739:Cryospheric model
729:Atmospheric model
568:978-3-030-36207-2
154:gridding in CLaMS
122:Lagrangian/"puff"
86:cost of computing
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1522:Visual analytics
1517:Systems thinking
1435:Population model
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480:. Archived from
466:(1st ed.).
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254:(GFDL), and the
238:elated chemical
90:climate dynamics
54:chemical species
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520:(D24): 4784.
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484:on 2019-10-10
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477:0-691-00185-5
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28:and may give
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1201:Discontinued
1074:DISPERSION21
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584:
572:. Retrieved
557:
550:
539:. Retrieved
517:
511:
497:
486:. Retrieved
482:the original
462:
409:Examples of
342:
319:tropospheric
293:(NCEP), the
279:stratosphere
275:tropospheric
250:(NCAR), the
239:
235:
231:
227:
223:
219:
195:CMAQ Website
166:
134:
115:
107:
39:
17:
15:
880:IFS (ECMWF)
719:Model types
673:Meteorology
629:MOZART page
620:MOZART page
574:January 19,
313:mechanism,
210:LOTOS-EUROS
181:CCATT-BRAMS
1537:Categories
1315:Biological
1104:PUFF-PLUME
1064:AUSTAL2000
923:GME / ICON
890:GEM / GDPS
839:GFDL CM2.X
541:2008-06-08
488:2016-02-25
370:mesoscales
358:multiphase
356:TCAM is a
338:POLYPHEMUS
307:photolysis
283:mesosphere
271:atmosphere
82:deposition
66:atmosphere
50:heat flows
1145:GEOS-Chem
385:in Italy.
226:odel for
205:GEOS-Chem
78:advection
1114:SAFE AIR
947:RR / RAP
642:See also
612:MOZART:
423:GEM-MACH
403:FLEXPART
322:aerosols
315:biogenic
309:scheme,
186:WRF-Chem
165:Jacob's
147:See also
64:for the
1150:CHIMERE
1109:RIMPUFF
1089:MERCURE
1069:CALPUFF
919:JMA-GSM
834:HadGEM1
817:Climate
625:MPI-Met
522:Bibcode
366:aerosol
333:CHIMERE
265:in the
1444:Social
1224:NOGAPS
1140:MOZART
1059:ATSTEP
1054:AERMOD
1033:ADCIRC
1023:MITgcm
965:HIRLAM
927:ARPEGE
910:NAVGEM
829:HadCM3
608:Curlie
565:
474:
439:MOZART
418:MOCAGE
220:MOZART
169:online
76:(e.g.
74:fluxes
1171:CLASS
1166:JULES
1135:CLaMS
1119:SILAM
1028:FESOM
1018:FVCOM
999:HyCOM
985:HRDPS
961:RAQMS
905:NAEFS
864:ECHAM
859:CFSv2
508:(PDF)
444:Notes
435:CLaMS
398:CLaMS
368:) at
267:Earth
260:ozone
215:MATCH
70:cycle
46:fluid
1192:CICE
1176:ISBA
1099:OSPM
1094:NAME
1084:MEMO
1079:ISC3
1049:ADMS
1003:ROMS
981:RGEM
976:HWRF
969:LAPS
952:RAMS
900:MPAS
854:CESM
849:CCSM
844:CGCM
824:IGCM
616:UCAR
576:2022
563:ISBN
472:ISBN
364:and
343:TCAM
281:and
230:one
200:CAMx
191:CMAQ
96:and
48:and
1229:RUC
1219:NGM
1214:MM5
1210:LFM
1207:Eta
1013:MOM
1008:POM
972:RPM
957:WRF
942:NAM
895:GFS
885:FIM
627:'s
618:'s
606:at
530:doi
518:108
269:'s
234:nd
222:: (
120:or
1539::
915:UM
528:.
516:.
510:.
452:^
305:,
246:)
244:US
228:OZ
193:,
32:.
16:A
1299:e
1292:t
1285:v
701:e
694:t
687:v
578:.
544:.
532::
524::
491:.
324:.
240:T
236:R
232:A
224:M
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