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Interaction between cloud–radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model
Ist Teil von
Atmospheric chemistry and physics, 2022-12, Vol.22 (23), p.15509-15526
Ort / Verlag
Katlenburg-Lindau: Copernicus GmbH
Erscheinungsjahr
2022
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
Observational meteorological data from the field
experiment GoAmazon 2014/15 and data from numerical simulations with the
cloud-resolving model (CRM) called the System for Atmospheric Modeling (SAM) are
used to study the interaction between the cloudiness–radiation as well as the
atmospheric dynamics and thermodynamics variables for a site located in the
central Amazon region (−3.2∘ S, −60.6∘ W) during the wet
and dry periods. The main aims are to (a) analyze the temporal series of the
integrated cloud fraction, precipitation rate and downward shortwave flux
as well as (b) to determine the relationship between the integrated cloud fraction,
radiative fluxes and large-scale variable anomalies as a function of the
previous day's average. The temporal series of the integrated cloud
fraction, precipitation rate and downward shortwave flux from SAM
simulations showed physical consistency with the observations from GoAmazon
2014/15. Shallow and deep convection clouds show to have a meaningful impact
on radiation fluxes in the Amazon region during wet and dry periods.
Anomalies of large-scale variables (relative to the previous day's average)
are physically associated with cloud formation, evolution and dissipation.
SAM consistently simulated these results, where the cloud fraction vertical
profile shows a pattern very close to the observed data (cloud type).
Additionally, the integrated cloud fraction and large-scale variable
anomalies, as a function of the previous day's average, have a good
correlation. These results suggest that the memory of the large-scale
dynamics from the previous day can be used to estimate the cloud fraction as
well as the water content, which is a variable of the cloud itself. In
general, the SAM satisfactorily simulated the interaction between
cloud–radiation as well as dynamic and thermodynamic variables of the atmosphere
during the periods of this study, being able to obtain atmospheric
variables that are impossible to obtain in an observational way.