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Risi, Camille; Muller, Caroline; Blossey, Peter (2021): Isotope-enabled cloud-resolving simulations of cyclones and squall lines [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.937534

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Published: 2021-10-25DOI registered: 2021-11-24

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Abstract:
This dataset includes 2 simulations with the cloud-resolving model SAM, enabled with isotopes (System for Atmospheric Modeling). Simulations are in radiative-convective equilibrium as in Risi et al. (2020, 2021). Both simulations include large-scale ascent peaking -40hPa/d at 5km.
1) Cyclone: Domain of 1024 km x km with a horizontal resolution of 4 km and 96 vertical levels. The effect of rotation is added through a Coriolis parameter that corresponds to a latitude of 40°.
2) Squall line: Domain of 256 km x 256 km with a horizontal resolution is 2 km and 96 vertical levels. We add a horizontally uniform wind in the x direction that reaches 10 m/s at the surface and linearly decrease to 0 m/s at 1 km.
These simulations are used in the article Risi et al. (2023).
Keyword(s):
cloud-resolving model; squall lines; tropical cyclones; water isotopes
Supplement to:
Risi, Camille; Muller, Caroline; Vimeux, Françoise; Blossey, Peter; Védeau, Grégoire; Dufaux, Clarisse; Abramian, Sophie (2023): What Controls the Mesoscale Variations in Water Isotopic Composition Within Tropical Cyclones and Squall Lines? Cloud Resolving Model Simulations in Radiative‐Convective Equilibrium. Journal of Advances in Modeling Earth Systems, 15(4), e2022MS003331, https://doi.org/10.1029/2022MS003331
Related to:
Risi, Camille; Muller, Caroline; Blossey, Peter (2020): What Controls the Water Vapor Isotopic Composition Near the Surface of Tropical Oceans? Results From an Analytical Model Constrained by Large‐Eddy Simulations. Journal of Advances in Modeling Earth Systems, 12(8), e2020MS002106, https://doi.org/10.1029/2020MS002106
Risi, Camille; Muller, Caroline; Blossey, Peter (2021): Rain Evaporation, Snow Melt, and Entrainment at the Heart of Water Vapor Isotopic Variations in the Tropical Troposphere, According to Large‐Eddy Simulations and a Two‐Column Model. Journal of Advances in Modeling Earth Systems, 13(4), e2020MS002381, https://doi.org/10.1029/2020MS002381
Funding:
Institut National des Sciences de l'Univers (INSU), grant/award no. AO_LEFE_2021: SAM-iso
Comment:
Each file represent 3D outputs for the 10 last daily snapshots of the 50 days simulation.
Variables and units are explained in the attributes of the netCDF files.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
File contentContentRisi, Camille
Binary Object (File Size)Binary (Size)BytesRisi, Camille
Binary ObjectBinaryRisi, Camille
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
4 data points

Data

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Content
 
Binary (Size) [Bytes]

Binary
Simulation SAM Cyclone5.3 GBytesSAMUW_rceiso_cyclone_m60hPad_3D.nc
Simulation SAM Squall line1.4 GBytesSAMUW_rceiso_squall2_U10_H1000_m60hPad_3D.nc