English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Assessing precipitation over the Amazon basin as simulated by a storm-resolving model

MPS-Authors
/persons/resource/persons246498

Paccini,  Laura
MPI for Meteorology, Max Planck Society;
University of Virginia, Charlottesville, VA, USA;

/persons/resource/persons37347

Stevens,  Bjorn       
Director’s Research Group , Department Climate Physics, MPI for Meteorology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Supplementary Material (public)

2022_JGRA_Paccini.zip
(Supplementary material), 13MB

Citation

Paccini, L., & Stevens, B. (2023). Assessing precipitation over the Amazon basin as simulated by a storm-resolving model. Journal of Geophysical Research: Atmospheres, 128: e2022JD037436. doi:10.1029/2022JD037436.


Cite as: https://hdl.handle.net/21.11116/0000-000A-AB5F-C
Abstract
In this study, we investigate whether a better representation of precipitation in the Amazon basin arises through an explicit representation of convection and whether it is related to the representation of organized systems. In addition to satellite data, we use ensemble simulations of the ICON-NWP model at storm-resolving (2.5–5.0 km) scales with explicit convection (E-CON) and coarse resolutions, with parameterized convection (P-CON). The main improvements in the representation of Amazon precipitation by E-CON are in the distribution of precipitation intensity and the spatial distribution in the diurnal cycle. By isolating precipitation from organized convective systems (OCS), it is shown that many of the well simulated precipitation features in the Amazon arise from the distribution of these systems. The simulated and observed OCS are classified into 6 clusters which distinguish nocturnal and diurnal OCS. While the E-CON ensembles capture the OCS, especially their diurnal cycle, their frequency is reduced compared to observations. Diurnal clusters are influenced by surface processes such as cold pools, which aid to the propagation of OCS. Nocturnal clusters are rather associated with strong low-level easterlies, possibly related to the Amazonian low-level jet. Our results also show no systematic improvement with a twofold grid refinement and remaining biases related to stratiform features of OCS suggest that yet unresolved processes play an important role for correctly representing precipitating systems in the Amazon