Articles | Volume 22, issue 18
https://doi.org/10.5194/acp-22-12241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-12241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Sep 2022
Research article |
| 20 Sep 2022
| 20 Sep 2022
Life cycle of stratocumulus clouds over 1 year at the coast of the Atacama Desert
Inst. for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Camilo del Rio
Inst. de Geografia Pontificia, Universidad Católica de Chile, Santiago, Chile
Centro UC Desierto de Atacama, Pontificia Universidad Católica de Chile, Santiago, Chile
Juan-Luis García
Inst. de Geografia Pontificia, Universidad Católica de Chile, Santiago, Chile
Centro UC Desierto de Atacama, Pontificia Universidad Católica de Chile, Santiago, Chile
Pablo Osses
Inst. de Geografia Pontificia, Universidad Católica de Chile, Santiago, Chile
Centro UC Desierto de Atacama, Pontificia Universidad Católica de Chile, Santiago, Chile
Sarah Westbrook
Inst. for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Ulrich Löhnert
Inst. for Geophysics and Meteorology, University of Cologne, Cologne, Germany
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Cited articles
Böhm, C., Schween, J., Reyers, M., Maier, B., Löhnert, U., and Crewell,
S.: Towards a climatology of fog frequency in the Atacama Desert via
multi-spectral satellite data and machine learning techniques, J.
Appl. Meteorol. Clim., 60, 1149–1169,
https://doi.org/10.1175/JAMC-D-20-0208.1, 2021. a
Bretherton, C. S., Uttal, T., Fairall, C. W., Yuter, S. E., Weller, R. A.,
Baumgardner, D., Comstock, K., Wood, R., and Raga, G.: The Epic 2001
Stratocumulus Study., B. Am. Meteorol. Soc., 85,
967–978, https://doi.org/10.1175/BAMS-85-7-967, 2004. a, b, c, d
Cereceda, P., Larrain, H., Osses, P., Farías, M., and Egaña, I.: The
spatial and temporal variability of fog and its relation to fog oases in the
Atacama Desert, Chile, Atmos. Res., 87, 312–323,
https://doi.org/10.1016/j.atmosres.2007.11.012, 2008a. a
Cereceda, P., Larrain, H., Osses, P., Farías, M., and Egaña, I.: The
climate of the coast and fog zone in the Tarapacá Region, Atacama Desert,
Chile, Atmos. Res., 32, 1803–1814,
https://doi.org/10.1016/j.atmosres.2007.11.011, 2008b. a
CLU: Cloud profiling product: Classification; 2018-03-26 to 2019-01-23; from Iquique, ACTRIS Data Centre [data set], https://hdl.handle.net/21.12132/2.e224164deb7c40c5, last access: 2 February 2022. a
Crewell, S. and Löhnert, U.: Accuracy of boundary layer temperature
profiles retrieved with multi-frequency, multi-angle microwave radiometry,
IEEE T. Geosci. Remote, 45, 2195–2201,
https://doi.org/10.1109/TGRS.2006.888434, 2007. a, b
del Rio, C., Lobos-Roco, F., Koch, M., García, J.-L., Osses, P., Lambert,
F., Alfaro, F., and Siegmund, A.: Spatial distribution and interannual
variability of coastal fog and low clouds cover in the hyperarid Atacama
Desert and implications for past and present Tillandsia landbeckii
ecosystems, Plant Syst. Evol., 307, 58,
https://doi.org/10.1007/s00606-021-01782-z, 2021a. a, b, c, d
del Rio, C., Lobos-Roco, F., Siegmund, A., Tejos, C., Osses, P., Huaman, Z.,
Meneses, J., and García, J.-L.: GOFOS, ground optical fog observation
system for monitoring the vertical stratocumulus-fog cloud distribution in
the coast of the Atacama Desert, Chile, J. Hydrol., 597, 126190,
https://doi.org/10.1016/j.jhydrol.2021.126190, 2021b. a, b, c
Dunai, T., Melles, M., Quandt, D., Knief, C., and Amelung, W.: Whitepaper:
Earth – Evolution at the dry limit, Global Planet. Change, 193,
103275, https://doi.org/10.1016/j.gloplacha.2020.103275, 2020. a
García, J.-L., Lobos-Roco, F., Schween, J., del Rio, C., Vives, R., Pezoa,
M., Siegmund, A., Latorre, C., Alfaro, F., Koch, M., and Löhnert, U.:
Climate and coastal low-cloud dynamic in the hyperarid Atacama fog Desert
and the geographic distribution of Tillandsia landbeckii (Bromeliaceae)
dune ecosystems, Plant Syst. Evol., 307, 57,
https://doi.org/10.1007/s00606-021-01775-y, 2021. a, b
Illingworth, A. J., Hogan, R. J., O'Connor, E., Bouniol, D., Brooks, M. E.,
Delanoé, J., Donovan, D. P., Eastment, J. D., Gaussiat, N., Goddard, J.
W. F., Haeffelin, M., Klein Baltink, H., Krasnov, O. A., Pelon, J., Piriou,
J.-M., Protat, A., Russchenberg, H. W. J., Seifert, A., Tompkins, A. M., van
Zadelhoff, G.-J., Vinit, F., Willén, U., Wilson, D. R., and Wrench,
C. L.: CLOUDNET Continous evaluation of cloud profiles in seven operational
models using ground-based observations, B. Am.
Meteorol. Soc., 88, 883–898, https://doi.org/10.1175/BAMS-88-6-883, 2007. a
Karstens, U., Simmer, C., and Ruprecht, E.: Remote sensing of cloud liquid
water, Meteorol. Atmos. Phys., 54, 157–171,
https://doi.org/10.1007/BF01030057, 1994. a
Klein, S. and Hartmann, D.: The seasonal cycle of low stratiform clouds, J. Climate,
6, 1587–1606, https://doi.org/10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2, 1993. a
Küchler, N., Kneifel, S., Löhnert, U., Kollias, P., Czekala, H., and
Rose, T.: A W-Band Radar–Radiometer System for Accurate and Continuous
Monitoring of Clouds and Precipitation, J. Atmos. Ocean.
Tech., 34, 2375–2392, https://doi.org/10.1175/JTECH-D-17-0019.1, 2017. a
Lawrence, M.: The relationship between relative humidity and the dewpoint
temperature in moist air: A simple conversion and applications, B. Am. Meteorol. Soc., 86, 225–233,
https://doi.org/10.1175/BAMS-86-2-225, 2005. a
Lilly, D. K.: Models of cloud-topped mixed layers under a strong inversion,
Q. J. Roy. Meteor. Soc., 94, 292–309,
https://doi.org/10.1002/qj.49709440106, 1968. a
Lin, J., Qian, T., and Shinoda, T.: Stratocumulus Clouds in Southeastern
Pacific Simulated by Eight CMIP5–CFMIP Global Climate Models, J.
Climate, 27, 3000–3022, https://doi.org/10.1175/JCLI-D-13-00376.1, 2012. a, b
Lobos-Roco, F., Vilá-Guerau de Arellano, J., and Pedruzo-Bagazgoitia, X.:
Characterizing the influence of the marine stratocumulus cloud on the land
fog at the Atacama Desert, Atmos. Res., 214, 109–120,
https://doi.org/10.1016/j.atmosres.2018.07.009, 2018. a
Löhnert, U. and Crewell, S.: Accuracy of cloud liquid water path from
groundbased microwave radiometry 1. Dependency on cloud model statistics,
Radio Sci., 38, 8041, https://doi.org/10.1029/2002RS002654, 2003. a
Löhnert, U., Turner, D., and Crewell, S.: Ground-based temperature and
humidity profiling using spectral infrared and microwave observations: Part
1. Simulated retrieval performance in clear sky conditions, J. Appl. Meteorol.
Clim., 48, 1017–1032, https://doi.org/10.1175/2008JAMC2060.1, 2009. a
Manninen, A., Marke, T., O'Connor, E., and Tuononen, M.: Atmospheric boundary
layer classification with Doppler lidar, J. Geophys. Res.,
123, 8172–8189, https://doi.org/10.1029/2017JD028169, 2018. a, b
Manrique, R.: El Niño Southern Oscillation And Its Effect On Fog Oases
Along The Peruvian And Chilean Coastal Deserts, PhD thesis, Universita di
Bologna,
http://amsdottorato.unibo.it/3436/1/Manrique_Rosa_tesi.pdf (last access: 22 February 2022),
2011. a
Martucci, G., Milroy, C., and O'Dowd, C. D.: Detection of Cloud-Base Height
Using Jenoptik CHM15K and Vaisala CL31 Ceilometers, J. Atmos.
Ocean. Tech., 27, 305–318, https://doi.org/10.1175/2009JTECHA1326.1, 2010. a, b
Mechoso, C. R., Wood, R., Weller, R., Bretherton, C., Clarke, A. D., Coe, H.,
Fairall, C., Farrar, J. T., Feingold, G., Garreaud, R., Grados, C.,
McWilliams, J., de Szoeke, S. P., Yuter, S. E., and Zuidema, P.:
Ocean–Cloud–Atmosphere–Land Interactions In The Southeastern Pacific,
The Vocals Program, B. Am. Meteorol. Soc., 95,
357–375, https://doi.org/10.1175/BAMS-D-11-00246.1, 2014. a, b
Muñoz, R., Zamora, R. A., and Rutllant, J. A.: The Coastal Boundary Layer
at the Eastern Margin of the Southeast Pacific (23.48∘ S, 70.48∘ W): Cloudiness-Conditioned Climatology, J. Climate, 24, 1013–1033,
https://doi.org/10.1175/2010JCLI3714.1, 2011. a
Muñoz, R. C. and Garreaud, R. D.: Dynamics of the Low-Level Jet off the
West Coast of Subtropical South America, Mon. Weather Rev., 133,
3661–3677, https://doi.org/10.1175/MWR3074.1, 2005. a
Muñoz-Schick, M., Pinto, R., Mesa, A., and Moreira-Muñoz, A.: Fog oases
during the El Niño Southern Oscillation 1997–1998, in the coastal hills
south of Iquique, Tarapacá region, Chile, Revist Chilena de Historia
Natural, 74, 389–405, https://doi.org/10.4067/S0716-078X2001000200014, 2001. a
Naval Oceanographic Office: K10 Global 10 km Analyzed SST data set. Ver. 1.0., Physical Oceanography Distributed Active Archive center (PO.DAAC) CA, USA [data set],
https://doi.org/10.5067/GHK10-41N01, 2008. a, b, c, d
Naval Oceanographic Office: GHRSST L4 NAVO K10 Global 1m-depth Analyzed SST dataset. Ver. 1.0., Physical Oceanography Distributed Active Archive center (PO.DAAC) CA, USA [data set],
https://doi.org/10.5067/GHK10-L4N01, 2018. a, b, c
NOAA Climate Prediction Center: ENSO ONI index,
https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php,
last access: 2 February 2022. a
Ouwersloot, H. and Vila-Guerau de Arellano, J.: Analytical Solution for the
Convectively-Mixed Atmospheric Boundary Layer, Bound.-Lay. Meteorol.,
148, 557–583, https://doi.org/10.1007/s10546-013-9816-z, 2013. a
Päschke, E., Leinweber, R., and Lehmann, V.: An assessment of the performance of a 1.5 µm Doppler lidar for operational vertical wind profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251–2266, https://doi.org/10.5194/amt-8-2251-2015, 2015. a
Romps, D.: Exact Expression for the Lifting Condensation Level, J.
Atmos. Sci., 74, 3891–3900, https://doi.org/10.1175/JAS-D-17-0102.1, 2017. a
Rose, T., Crewell, S., Löhnert, U., and Simmer, C.: A network suitable
microwave radiometer for operational monitoring of the cloudy atmosphere,
Atmos. Res., 75, 183–200, https://doi.org/10.1016/j.atmosres.2004.12.005, 2005. a
Rutllant, J., Fuenzalida, H., and Aceituno, P.: Climate dynamics along the arid
northern coast of Chile: The 1997–1998 Dinámica del Clima de la Región
de Antofagasta (DICLIMA) experiment, J. Geophys. Res., 108,
4538, https://doi.org/10.1029/2002JD003357, 2003. a
Schneider, T., Kaul, C., and Pressel, K.: Possible climate transitions from
breakup of stratocumulus decks under greenhouse warming, Nat. Geosci.,
12, 163–167, https://doi.org/10.1038/s41561-019-0310-1, 2019. a
Schubert, W., Wakefield, J., Steiner, E., and Cox, S.: Marine Stratocumulus
Convection. Part I: Governing Equations and Horizontally Homogeneous
Solutions, J. Atmos. Sci., 36, 1286–1307,
https://doi.org/10.1175/1520-0469(1979)036<1286:MSCPIG>2.0.CO;2, 1979. a, b
Schulz, N., Boisier, J. P., and Aceituno, P.: Climate change along the coast of
northern Chile, Int. J. Climatatol., 36, 1308–1324,
https://doi.org/10.1175/1520-0469(1979)036<1308:MSCPIH>2.0.CO;2, 2012. a, b, c
Schween, J., Hoffmeister, D., and Löhnert, U.: Filling the Observational
Gap in the Atacama Desert with a new Network of Climate Stations, Global
Planet. Change, 184, 103034, https://doi.org/10.1016/j.gloplacha.2019.103034, 2020. a, b, c
Schween, J. H. and Loehnert, U.: Meteorological Data March 2018–March 2019 from Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.45, 2022a. a
Schween, J. H. and Loehnert, U.: Wind profiles March 2018–March 2019 from remote sensing at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.53, 2022b. a
Schween, J. H., Hirsikko, A., Löhnert, U., and Crewell, S.: Mixing-layer height retrieval with ceilometer and Doppler lidar: from case studies to long-term assessment, Atmos. Meas. Tech., 7, 3685–3704, https://doi.org/10.5194/amt-7-3685-2014, 2014. a, b
Schween, J. H., Loehnert, U., and Westbrook, S.: Temperature profiles March 2018–March 2019 from remote sensing at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.46, 2022a. a
Schween, J. H., Loehnert, U., and Westbrook, S.: Liquid water path (LWP TH80) March 2018–March 2019 at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.49, 2022b. a
Schween, J. H., Loehnert, U., and Westbrook, S.: Liquid water path (LWP TH85) March 2018–March 2019 at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.50, 2022c. a
Schween, J. H., Loehnert, U., and Westbrook, S.: Liquid water path (LWP TH90) March 2018–March 2019 at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.51, 2022d. a
Schween, J. H., Loehnert, U., and Westbrook, S.: Liquid water path (LWP TH95) March 2018–March 2019 at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.52, 2022e. a
Schween, J. H., Loehnert, U., and Westbrook, S.: Integrated water vapor (IWV TH85) March 2018–March 2019 at Iquique, CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.43, 2022f. a
Schween, J. H., Marke, T., and Loehnert, U.: Boundary layer classification from remote sensing at Iquique, March 2018–March 2019,
CRC1211 Database (CRC1211DB) [data set], https://doi.org/10.5880/CRC1211DB.54, 2022g. a
Serpetzoglou, E., Albrecht, B., Kollias, P., and Fairall, C.: Boundary Layer,
Cloud, and Drizzle Variability in the Southeast Pacific Stratocumulus Regime,
J. Climate, 21, 6191–6214, https://doi.org/10.1175/2008JCLI2186.1, 2008. a
Stevens, B., Lenschow, D. H., Vali, G., Gerber, H., Bandy, A., Blomquist, B.,
Brenguier, J.-L., Bretherton, C. S., Burnet, F., Campos, T., Chai, S.,
Faloona, I., Friesen, D., Haimov, S., Laursen, K., Lilly, D. K., Loehrer,
S. M., Malinowski, S. P., Morley, B., Petters, M. D., Rogers, D. C., Russell,
L., Savic-Jovcic, V., Snider, J. R., Straub, D., Marcin, D., Szumowski, J.,
Takagi, H., Thornton, D. C., Tschudi, M., Twohy, C., Wetzel, M., and
Van Zanten, M. C.: Dynamics and Chemistry of Marine Stratocumulus –
DYCOMS-II, B. Am. Meteorol. Soc., 84, 579–593,
https://journals.ametsoc.org/view/journals/bams/84/5/bams-84-5-579.xml (last access: 5 September 2022), 2003. a, b
Stevens, B., Moeng, C., Ackerman, A. S., Bretherton, C. S., Chlond, A.,
de Roode, S., Edwards, J., Golaz, J., Jiang, H., Khairoutdinov, M.,
Kirkpatrick, M. P., Lewellen, M. P., Lock, A., Müller, F., Stevens,
M. P., Whelan, E., and Zhu, P.: Evaluation of Large-Eddy Simulations via
Observations of Nocturnal Marine Stratocumulus, Mon. Weather Rev., 133,
1443–1462, https://doi.org/10.1175/MWR2930.1, 2005. a
Tuononen, M., O'Connor, E. J., and Sinclair, V. A.: Evaluating solar radiation forecast uncertainty, Atmos. Chem. Phys., 19, 1985–2000, https://doi.org/10.5194/acp-19-1985-2019, 2019. a, b
Turton, J. D. and Nicholls, S.: A study of the diurnal variation of
stratocumulus using a multiple mixed layer model, Q. J.
Roy. Meteor. Soc., 113, 969–1009, https://doi.org/10.1002/qj.49711347712,
1987. a
Wood, R., Mechoso, C. R., Bretherton, C. S., Weller, R. A., Huebert, B., Straneo, F., Albrecht, B. A., Coe, H., Allen, G., Vaughan, G., Daum, P., Fairall, C., Chand, D., Gallardo Klenner, L., Garreaud, R., Grados, C., Covert, D. S., Bates, T. S., Krejci, R., Russell, L. M., de Szoeke, S., Brewer, A., Yuter, S. E., Springston, S. R., Chaigneau, A., Toniazzo, T., Minnis, P., Palikonda, R., Abel, S. J., Brown, W. O. J., Williams, S., Fochesatto, J., Brioude, J., and Bower, K. N.: The VAMOS Ocean-Cloud-Atmosphere-Land Study Regional Experiment (VOCALS-REx): goals, platforms, and field operations, Atmos. Chem. Phys., 11, 627–654, https://doi.org/10.5194/acp-11-627-2011, 2011. a
Zhou, X., Kollias, P., and Lewis, E. R.: Clouds, Precipitation, and Marine
Boundary Layer Structure during the MAGIC Field Campaign, J. Climate,
28, 2420–2442, https://doi.org/10.1175/JCLI-D-14-00320.1, 2015. a
Short summary
Marine stratocumulus clouds of the eastern Pacific play an essential role in the Earth's climate. These clouds form the major source of water to parts of the extreme dry Atacama Desert at the northern coast of Chile. For the first time these clouds are observed over a whole year with three remote sensing instruments. It is shown how these clouds are influenced by the land–sea wind system and the distribution of ocean temperatures.
Marine stratocumulus clouds of the eastern Pacific play an essential role in the Earth's...
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