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Dataset

 

ACCMIP: JPL (Jet Propulsion Laboratory) climate model output

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2011-08-24
Download Stats: last 12 months

Abstract

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations.

This dataset contains measurements from climate simulations of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.

Citable as:  NASA Jet Propulsion Laboratory (2011): ACCMIP: JPL (Jet Propulsion Laboratory) climate model output. NCAS British Atmospheric Data Centre, date of citation. https://catalogue.ceda.ac.uk/uuid/d7f562b168b89b2593165d201adc60b7
Abbreviation: Not defined
Keywords: ACCMIP, Model, chemistry, climate

Details

Previous Info:
No news update for this record
Previously used record identifiers:
http://badc.nerc.ac.uk/view/badc.nerc.ac.uk__ATOM__ACTIVITY_52ca8e8a-edd5-11e1-848e-00163e251233
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: http://creativecommons.org/licenses/by/4.0/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The ACCMIP model output uses CMOR (Climate Model Output Rewriter) to convert data to CF netCDF. The CMOR conversion is performed by the individual modelling groups and the resulting CF netCDF files are archived at CEDA.

Data Quality:
ACCMIP data arrives direct from the modelling centres. A versioning system ensures that new versions of data are placed in separate version directories.
File Format:
Data are netCDF formatted

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

Tropospheric Emission Spectrometer (TES) Deployed on: EOS-AURA

Mobile platform operations

Mobile Platform Operation 1 Mobile Platform Operation for: EOS-AURA

Computation Element: 1

Title DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AURA
Abstract This computation involved: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AURA. Aura (Latin for breeze) was launched July 15, 2004. The design life is five years with an operational goal of six years. Aura flies in formation about 15 minutes behind Aqua. Aura is part of the Earth Observing System (EOS), a program dedicated to monitoring the complex interactions that affect the globe using NASA satellites and data systems. EOS-Aura's instruments are HIRDLS, MLS, OMI and TES. The Aura spacecraft was launched into a near polar, sun-synchronous orbit with a period of approximately 100 minutes. The spacecraft repeats its ground track every 16 days to provide atmospheric measurements over virtually every point on the Earth in a repeatable pattern, permitting assessment of atmospheric phenomena changes in the same geographic locations throughout the life of the mission. The Aura spacecraft is designed for a six-year lifetime. The spacecraft orbits at 705 km in a sun-synchronous orbit (98 deg inclination) with a 1:45 PM +/- 15 minute equator crossing time. Aura limb instruments are all designed to observe roughly along the orbit plane. MLS is on the front of the spacecraft (the forward velocity direction) while HIRDLS, TES and OMI are mounted on the nadir side. EOS Aura's Instruments, HIRDLS, MLS, OMI, and TES contain advanced technologies that have been developed for use on environmental satellites. Each instrument provides unique and complementary capabilities that will enable daily global observations of Earth's atmospheric ozone layer, air quality, and key climate parameters.
Input Description None
Output Description None
Software Reference None
Output Description None
  • units: 1e-9
  • long_name: A Priori Mole Fraction of CO
  • standard_name: prior_mole_fraction_of_carbon_monoxide_in_air
  • var_id: prior_co
  • names: A Priori Mole Fraction of CO, prior_mole_fraction_of_carbon_monoxide_in_air
  • units: 1e-9
  • long_name: A Priori Mole Fraction of O3
  • standard_name: prior_mole_fraction_of_ozone_in_air
  • var_id: prior_vmro3
  • names: A Priori Mole Fraction of O3, prior_mole_fraction_of_ozone_in_air
  • long_name: Averaging Kernel of Mole Fraction of CO
  • standard_name: averaging_kernel_mole_fraction_of_carbon_monoxide_in_air
  • var_id: ak_co
  • names: Averaging Kernel of Mole Fraction of CO, averaging_kernel_mole_fraction_of_carbon_monoxide_in_air
  • long_name: Averaging Kernel of Mole Fraction of O3
  • standard_name: averaging_kernel_mole_fraction_of_ozone_in_air
  • var_id: ak_vmro3
  • names: Averaging Kernel of Mole Fraction of O3, averaging_kernel_mole_fraction_of_ozone_in_air
  • standard_name: mole_fraction_of_carbon_monoxide_in_air
  • long_name: Mole Fraction of CO
  • units: 1e-9
  • var_id: co
  • names: mole_fraction_of_carbon_monoxide_in_air, Mole Fraction of CO
  • var_id: vmro3
  • standard_name: mole_fraction_of_ozone_in_air
  • long_name: Mole Fraction of O3
  • units: 1e-9
  • names: mole_fraction_of_ozone_in_air, Mole Fraction of O3
  • long_name: Number of Targets Used for Monthly Mean CO
  • standard_name: co observation counts
  • var_id: co-obscnts
  • names: Number of Targets Used for Monthly Mean CO, co observation counts
  • var_id: vmro3-obscnts
  • long_name: Number of Targets Used for Monthly Mean O3
  • standard_name: vmro3 observation counts
  • names: Number of Targets Used for Monthly Mean O3, vmro3 observation counts
  • standard_name: standard_error_of_mole_fraction_of_carbon_monoxide_in_air
  • var_id: stderr_co
  • units: 1e-9
  • long_name: Standard Error of Mole Fraction of CO
  • names: Standard Error of Mole Fraction of CO, standard_error_of_mole_fraction_of_carbon_monoxide_in_air
  • long_name: Standard Error of Mole Fraction of O3
  • standard_name: standard_error_of_mole_fraction_of_ozone_in_air
  • var_id: stderr_vmro3
  • units: 1e-9
  • names: Standard Error of Mole Fraction of O3, standard_error_of_mole_fraction_of_ozone_in_air
  • long_name: pressure
  • var_id: plev
  • units: Pa
  • standard_name: air_pressure
  • names: air_pressure, pressure
  • var_id: time_bnds

Co-ordinate Variables

  • standard_name: latitude
  • var_id: lat
  • long_name: latitude
  • units: degrees_north
  • names: latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • names: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
1850-01-01T00:00:00
End time:
2100-12-31T00:00:00
Geographic Extent

 
89.0000°
 
-180.0000°
 
180.0000°
 
-89.0000°