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Dataset

 

Water budget and Lagrangian analysis of tropical tropopause in simulations with Hadley Centre Global Environmental Model version 3 (HadGEM3)

Update Frequency: Not Planned
Latest Data Update: 2022-03-02
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2022-03-04
DOI Publication Date: 2022-03-04
Download Stats: last 12 months
Dataset Size: 20 Files | 484MB

Abstract

This dataset contains water budget and Lagrangian analysis of the tropical tropopause from climate model simulations and Lagrangian trajectory calculations. This study was conducted to understand better the role of convection as water vapour enters the tropical stratosphere (above about 17.4km), in particular in future scenarios.

The atmosphere component of HadGEM3, Global Atmosphere (GA) 7.0, was run for three different scenarios. Based on the SPARC Quasi-Biennial Oscillation initiative (QBOi) experiments 2,3,4, these force the atmosphere model with year 2002 conditions (e.g. of solar radiation and sea surface temperatures) every year for 21 years, so that each year experiences identical boundary conditions. The first scenario has no modifications (as a control), the second has doubled CO2 concentrations and sea surface temperatures (SSTs) are increased by 2K, andthe third has quadrupled CO2 concentrations and SSTs are increased by 4K. Simulations were allowed 10 years to stabilise to their modified forcing conditions and the final 11 years were analysed further. These simulations were chosen because they give a simplified indication of how the atmosphere might change in the 21st century.

A second component to this dataset is estimates of water vapour entering the stratosphere with the available output. For this, climate model output was used for Lagrangian calculations which were conducted with the OFFLINE trajectory model.

Records includes:
-increments of all model processes that affect water vapour and ice (to get a full water budget) at grid points around the tropical tropopause (altitude of 17.4km and 18.0km, 40degS - 40degN and 180W - 180E) as monthly means of 6 hourly instantaneous values across the first two years after stabilisation.
- locations and timing of model grid points above the minimum saturation mixing ratio in the vertical profile (the dry point) that exhibit convective ice injection (fast transport of ice by strong cloud processes)
- monthly mean values of estimates of water vapour concentration above the tropical tropopause. These values include the HadGEM3 calculation, and proxies based on the dry point or on Lagrangian (trajectory-following) calculations of water vapour passing through the tropical tropopause.

These records are analysed in:
Smith, J. W., Bushell, A. C., Butchart.,N. , Haynes, P. H., Maycock, A. C., The effect of convective injection of ice on stratospheric water vapor in a changing climate, Geophysical Research Letters, submitted 12/21.

Links for further information:

HadGEM3:
https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model/climate-models/hadgem3

QBOi experiment:
Butchart, N., Anstey, J. A., Hamilton, K., Osprey, S., McLandress, C., Bushell, A. C., … Yukimoto, S. (2018). Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi). Geoscientific Model Development, 11(3), 1009–1032. https://doi.org/10.5194/gmd-11-1009-2018

OFFLINE trajectory model:
http://www.met.reading.ac.uk/~swrmethn/offline/

Citable as:  Smith, J.; Bushell, A.; Haynes, P.; Butchart, N.; Maycock, A. (2022): Water budget and Lagrangian analysis of tropical tropopause in simulations with Hadley Centre Global Environmental Model version 3 (HadGEM3). NERC EDS Centre for Environmental Data Analysis, 04 March 2022. doi:10.5285/e4eac61c06e348389f16bb863334dbf6. https://dx.doi.org/10.5285/e4eac61c06e348389f16bb863334dbf6

Abbreviation: Not defined
Keywords: Not defined

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
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:

Climate model simulations were conducted at the UK Met Office.
Lagrangian calculations were then conducted with climate model output on JASMIN.
Output of the simulations and Lagrangian calculations was then analysed with the contained scripts.
Key output has been processed and stored as netcdf files herein.

Data Quality:
Climate model simulations followed UK Met Office conventions and version control. Key output, as netcdf files, strives to follow the Climate and Forecast (CF) Metadata Convention. Python scripts strive to follow the PEP 8 style guide.
File Format:
Data are NetCDF formatted.

Related Documents

No documents related to this record were found.

Citations: 5

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Butchart, N., Anstey, J.A., Hamilton, K., et al. (2017) Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi). https://doi.org/10.5194/gmd-2017-187 https://doi.org/10.5194/gmd-2017-187
error occurred https://doi.org/10.1002/qj.3827
error occurred https://doi.org/10.1002/qj.3690
Holt, L. & Lott, F. (2020) An evaluation of tropical waves and wave forcing of the QBO in the QBOi models. https://doi.org/10.5194/egusphere-egu2020-5635 https://doi.org/10.5194/egusphere-egu2020-5635
Smith, J.W., Bushell, A.C., Butchart, N., Haynes, P.H. & Maycock, A.C. (2022) The Effect of Convective Injection of Ice on Stratospheric Water Vapor in a Changing Climate. Geophysical Research Letters 49. https://doi.org/10.1029/2021gl097386 https://doi.org/10.1029/2021gl097386

Process overview

This dataset was generated by the computation detailed below.
Title

HadGEM3, Global Atmosphere (GA) 7.0

Abstract

The atmosphere component of HadGEM3, Global Atmosphere (GA) 7.0, was run for three different scenarios. Based on QBOi experiments 2,3,4, these force the atmosphere model with year 2002 conditions (e.g. of solar radiation and sea surface temperatures) every year for 21 years. The first scenario has no modifications (as a control), the second has doubled CO2 concentrations and sea surface temperatures (SSTs) are increased by 2K, and the same again where CO2 concentrations are quadrupled and SSTs are increased by 4K. Simulations were allowed 10 years to stabilise to their modified forcing conditions and the final 11 years were analysed further.

Input Description

None

Output Description

None

Software Reference

None

  • var_id: dq_from_qcf_agg
  • units: kg/kg/20min
  • long_name: -1*DEPOSITION RATE AGG kg/kg/s
  • units: kg/kg/20min
  • var_id: dqcf_from_q_agg
  • long_name: DEPOSITION RATE AGG kg/kg/s
  • standard_name: tendency_of_specific_humidity_due_to_convection
  • units: kg/kg/20min
  • var_id: dq_conv
  • long_name: Q INCR: convection +(PC2 inhom)
  • standard_name: tendency_of_specific_humidity_due_to_advection
  • units: kg/kg/20min
  • var_id: dq_adv
  • long_name: Q INCR: advect kg/kg/timestep
  • units: kg/kg/20min
  • var_id: dq_spt
  • long_name: Q TENDENCY SPT INCREMENT
  • long_name: Q TOTAL INCREMENT ON MODEL LEVELS
  • standard_name: tendency_of_specific_humidity
  • units: kg/kg/20min
  • var_id: dq_total
  • units: kg/kg/20min
  • var_id: dqcf_bl
  • long_name: QCF INCR: bdy layer
  • units: kg/kg/20min
  • var_id: dqcf_lsp
  • long_name: QCF INCR: ls rain
  • var_id: dqcf_conv
  • units: kg/kg/20min
  • long_name: QCF INCR: convection +(PC2 inhom)
  • standard_name: mass_fraction_of_cloud_ice_in_air
  • units: kg/kg
  • long_name: QCF AFTER TIMESTEP
  • var_id: qcf
  • standard_name: tendency_of_mass_fraction_of_cloud_ice_in_air_due_to_advection
  • units: kg/kg/20min
  • var_id: dqcf_adv
  • long_name: QCF INCR: advect kg/kg/timestep
  • units: kg/kg/20min
  • var_id: dqcf_pc2p
  • long_name: QCF INCR: from pc2 pressure change
  • units: kg/kg/20min
  • var_id: dqcf_pc2c
  • long_name: QCF INCR: pc2 checks
  • units: kg/kg/20min
  • var_id: dqcf_pc2i
  • long_name: QCF INCR: pc2 initialisation
  • long_name: QCF TOTAL INCREMENT ON MODEL LEVELS
  • standard_name: tendency_of_mass_fraction_of_cloud_ice_in_air
  • var_id: dqcf_total
  • units: kg/kg/20min
  • long_name: QCL TOTAL INCREMENT ON MODEL LEVELS
  • standard_name: tendency_of_mass_fraction_of_cloud_liquid_water_in_air
  • units: kg/kg/20min
  • var_id: dqcl_total
  • units: ppmv
  • var_id: SMR_VDP_10NS
  • units: kg/kg/20min
  • var_id: dqcf_fall_agg
  • long_name: SNOW AGG. SEDIMENT RATE kg/kg/s
  • var_id: q
  • long_name: SPECIFIC HUMIDITY AFTER TIMESTEP
  • standard_name: specific_humidity
  • units: kg/kg
  • units: kg/kg/20min
  • var_id: dq_bl
  • long_name: SPECIFIC HUMIDITY INCR: bdy layer
  • long_name: SPECIFIC HUMIDITY INCR: ls rain
  • units: kg/kg/20min
  • var_id: dq_lsp
  • units: kg/kg/20min
  • var_id: dq_lw
  • long_name: SPECIFIC HUMIDITY INCR: lwrad scheme
  • units: kg/kg/20min
  • var_id: dq_pc2c
  • long_name: SPECIFIC HUMIDITY INCR: pc2 checks
  • units: kg/kg/20min
  • var_id: dq_pc2i
  • long_name: SPECIFIC HUMIDITY INCR: pc2 initiali
  • units: kg/kg/20min
  • var_id: dq_pc2p
  • long_name: SPECIFIC HUMIDITY INCR: pc2 pressure
  • units: kg/kg/20min
  • var_id: dq_sw
  • long_name: SPECIFIC HUMIDITY INCR: swrad scheme
  • units: 1
  • var_id: dq_from_qcf_agg
  • units: kg/kg/20min
  • var_id: dq_mo_est
  • units: 1
  • var_id: dqcf_conv
  • units: 1
  • var_id: event_id
  • units: hours
  • standard_name: forecast_period
  • var_id: forecast_period
  • var_id: forecast_period_bnds
  • units: hours
  • standard_name: forecast_reference_time
  • var_id: forecast_reference_time
  • units: 1
  • var_id: hybrid_height
  • units: 1
  • var_id: hybrid_height_of_min_smr
  • var_id: latitude_bnds
  • var_id: latitude_longitude
  • var_id: longitude_bnds
  • units: hPa
  • var_id: pressure
  • long_name: pressure
  • units: ppmv
  • var_id: q_LDP
  • units: ppmv
  • var_id: q_LDPFconv
  • units: ppmv
  • var_id: q_LDPFice
  • units: ppmv
  • var_id: q_LDPFsub
  • units: ppmv
  • var_id: q_LDPconv
  • units: ppmv
  • var_id: q_LDPice
  • units: ppmv
  • var_id: q_LDPsub
  • units: 1
  • standard_name: realization
  • var_id: realization
  • standard_name: specific_humidity
  • var_id: specific_humidity
  • units: ppmv
  • var_id: time_0_bnds

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
  • standard_name: time
  • var_id: time
  • units: days
  • long_name: t
  • standard_name: time
  • units: hours
  • var_id: time_0
Coverage
Temporal Range
Start time:
2002-01-01T00:00:00
End time:
2002-12-31T00:00:00
Geographic Extent

 
40.0000°
 
-180.0000°
 
180.0000°
 
-40.0000°