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Dataset

 

The Organization of Tropical Rainfall: Idealised MetUM model output for convective aggregation studies

Latest Data Update: 2020-04-29
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-06-14
Download Stats: last 12 months
Dataset Size: 36.85K Files | 2TB

Abstract

This dataset comprises of model output from 11 runs of the Met Office Unified Model (MetUM) in idealised radiative-convective equilibrium mode. All runs have fixed constant sea surface temperature (SST) and doubly-periodic lateral boundary conditions. These runs were used in several papers on convective self-aggregation: principally in Holloway and Woolnough (2016, Journal of Advances in Modeling Earth Systems) but also in Holloway (2017, Journal of Advances in Modeling Earth Systems).

All runs use the "New Dynamics" dynamical core, MetUM version 7.5, as described in Holloway and Woolnough (2016). The simulations are run with 4-km horizontal grid spacing. They all have a horizontal domain size of 576 km X 576 km (or 144 X 144 grid points), with 70 vertical levels. They were all run for 40 days except for the two runs with lower Sea Surface Temperatures, SSTs (295 K and 290 K) which were run for only 20 days.

The model output includes hourly model-level prognostic variables (temperature, specific humidity, pressure, wind components, liquid water, ice water) as well as some model-level increments to temperature and specific humidity. There are also many fields containing surface variables and fluxes (averaged over each hour or every 15 minutes).

Citable as:  Holloway, C. (2018): The Organization of Tropical Rainfall: Idealised MetUM model output for convective aggregation studies. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/2499ca660bc448f281ff1a1de1d20970
Abbreviation: Not defined
Keywords: tropical convection, Tropics, MetUM

Details

Previous Info:
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Previously used record identifiers:
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Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The data were delivered to the Centre for Environmental Data Analysis (CEDA) for archiving.

Data Quality:
Data is as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are netCDF formatted

Process overview

This dataset was generated by the computation detailed below.
Title

The Organization of Tropical Rainfall: 4-km grid Met-UM simulations of tropical convection

Abstract

Model was run on ARCHER, the UK supercomputer for academic use and comprises of model output from 11 runs of the Met Office Unified Model (MetUM) in idealised radiative-convective equilibrium mode. All runs have fixed constant sea surface temperature (SST) and doubly-periodic lateral boundary conditions. These runs were used in several papers on convective self-aggregation: principally in Holloway and Woolnough (2016, Journal of Advances in Modeling Earth Systems) but also in Holloway (2017, Journal of Advances in Modeling Earth Systems).

All runs use the ""New Dynamics"" dynamical core, MetUM version 7.5, as described in Holloway and Woolnough (2016). The simulations are run with 4-km horizontal grid spacing. They all have a horizontal domain size of 576 km X 576 km (or 144 X 144 grid points), with 70 vertical levels. They were all run for 40 days except for the two runs with lower SSTs (295 K and 290 K) which were run for only 20 days.

Input Description

None

Output Description

None

Software Reference

None

  • units: m
  • var_id: blht
  • long_name: Boundary layer height
  • units: W m-2
  • long_name: CLEAR-SKY (II) DOWN SURFACE LW FLUX
  • var_id: data
  • units: kg m-2 s-1
  • long_name: CONVECTIVE RAINFALL RATE KG/M2/S
  • var_id: data
  • long_name: CUMULUS-CAPPED BL INDICATOR
  • var_id: data
  • units:
  • long_name: DECOUPLED SC. NOT OVER CU. INDICATOR
  • var_id: data
  • units:
  • long_name: DECOUPLED SC. OVER CU. INDICATOR
  • var_id: data
  • units:
  • units: W m-2
  • long_name: DOWNWARD LW RAD FLUX: SURFACE
  • var_id: data
  • units: m
  • var_id: data
  • long_name: H OF RHO MODEL LEVS FROM SEA LEVEL
  • units: m
  • var_id: data
  • long_name: H OF THETA MODEL LEVS FROM SEA LEVEL
  • units: m
  • var_id: ht
  • long_name: Height
  • units: level
  • long_name: Hybrid height
  • var_id: hybrid_ht
  • units: W m-2
  • long_name: OUTGOING SW RAD FLUX (TOA)
  • var_id: data
  • units: Pa
  • standard_name: air_pressure
  • var_id: air_pressure
  • long_name: PRESSURE AT RHO LEVELS AFTER TS
  • units: Pa
  • standard_name: air_pressure
  • var_id: air_pressure
  • long_name: PRESSURE AT THETA LEVELS AFTER TS
  • var_id: data
  • long_name: QCF INCR: bdy layer
  • units:
  • var_id: data
  • long_name: QCF INCR: ls rain
  • units:
  • var_id: data
  • long_name: QCL INC: bdy layer + ls cld
  • units:
  • var_id: data
  • long_name: QCL INCR: ls rain
  • units:
  • units: kg kg-1
  • var_id: data
  • long_name: RAIN AFTER TIMESTEP
  • units: kg m-2 s-1
  • long_name: RAINFALL RATE OUT OF MODEL LEVELS
  • var_id: data
  • units: kg m-2 s-1
  • var_id: data
  • long_name: SNOWFALL RATE OUT OF MODEL LEVELS
  • var_id: data
  • long_name: SPEC HUMIDITY INC: bdy layr + ls cld
  • units:
  • units: kg kg-1
  • long_name: SPECIFIC HUMIDITY AFTER TIMESTEP
  • standard_name: specific_humidity
  • var_id: specific_humidity
  • units: kg kg-1
  • long_name: SPECIFIC HUMIDITY AT 1.5M
  • var_id: data
  • var_id: data
  • long_name: SPECIFIC HUMIDITY INCR: ls rain
  • units:
  • long_name: STABLE BL INDICATOR
  • var_id: data
  • units:
  • long_name: STRATOCUM. OVER STABLE BL INDICATOR
  • var_id: data
  • units:
  • units: W m-2
  • long_name: SURFACE LATENT HEAT FLUX W/M2
  • var_id: data
  • units: Pa
  • standard_name: surface_air_pressure
  • var_id: surface_air_pressure
  • long_name: SURFACE PRESSURE AFTER TIMESTEP
  • units: K
  • long_name: SURFACE TEMPERATURE AFTER TIMESTEP
  • standard_name: surface_temperature
  • var_id: surface_temperature
  • units: level
  • var_id: surface
  • long_name: Surface
  • units: K
  • standard_name: air_temperature
  • var_id: air_temperature
  • long_name: TEMPERATURE AT 1.5M
  • var_id: data
  • long_name: TEMPERATURE INC: bdy layer + ls cld
  • units:
  • var_id: data
  • long_name: TEMPERATURE INCR: ls rain
  • units:
  • var_id: data
  • long_name: TEMPERATURE INCR: lwrad scheme
  • units:
  • var_id: data
  • long_name: TEMPERATURE INCR: swrad scheme
  • units:
  • units: K
  • standard_name: air_temperature
  • var_id: air_temperature
  • long_name: TEMPERATURE ON THETA LEVELS
  • var_id: data
  • long_name: TOTAL COLUMN DRY MASS RHO GRID
  • units:
  • var_id: data
  • long_name: TOTAL COLUMN WET MASS RHO GRID
  • units:
  • units: kg m-2 s-1
  • long_name: TOTAL PRECIPITATION RATE KG/M2/S
  • var_id: data
  • units: level
  • var_id: toa
  • long_name: Top of atmosphere
  • units: m s-1
  • standard_name: eastward_wind
  • var_id: eastward_wind
  • long_name: U COMPNT OF WIND AFTER TIMESTEP
  • var_id: data
  • long_name: U WIND INCR: bdy layer
  • units:
  • var_id: unspecified
  • long_name: Unspecified
  • units:
  • units: m s-1
  • standard_name: northward_wind
  • var_id: northward_wind
  • long_name: V COMPNT OF WIND AFTER TIMESTEP
  • var_id: data
  • long_name: V WIND INCR: bdy layer
  • units:
  • units: m s-1
  • standard_name: upward_air_velocity
  • var_id: upward_air_velocity
  • long_name: W COMPNT OF WIND AFTER TIMESTEP
  • long_name: WELL_MIXED BL INDICATOR
  • var_id: data
  • units:
  • var_id: rotated_pole
  • var_id: t
  • long_name: t

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
Coverage
Temporal Range
Start time:
-
End time:
-
Geographic Extent

 
10.0000°
 
-180.0000°
 
165.0000°
 
-10.0000°