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Dataset

 

APHH: Simulated photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer campaigns

Latest Data Update: 2019-07-24
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2019-07-26
Download Stats: last 12 months
Dataset Size: 2 Files | 11MB

Abstract

This dataset contains Simulated Photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.

Fast-JX column photolysis model was used at Lancaster University to simulate column profiles of photolysis rates (JO3 and JNO2) centred on the Institute of Atmospheric Physics (IAP) tower site in Beijing. The photolysis rate profiles are simulated under different aerosol loadings to represent the optical effects of individual species and cloud cover on photochemistry.

Citable as:  Hollaway, M.; Wild, O. (2019): APHH: Simulated photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer campaigns. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/4a1d547929d44698b91e0d75d417220b/
Abbreviation: Not defined
Keywords: APHH, photolysis, Fast-JX model, IAP, Beijing

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
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:

Data produced by APHH project participants at Lancaster University and uploaded to CEDA archive.

Data Quality:
Data are 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

Fast-JX photolysis model

Abstract

The Fast-JX column photolysis model was used at Lancaster University to simulate column profiles of photolysis rates (JO3 and JNO2) centred on the Institute of Atmospheric Physics (IAP) tower site in Beijing for use by the projects under the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. The photolysis rate profiles are simulated under different aerosol loadings to represent the optical effects of individual species and cloud cover on photochemistry.

Input Description

None

Output Description

None

Software Reference

None

  • standard_name: height
  • var_id: height
  • units: kilometers
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_AERCLD_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_AERCLD_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_AERONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_AERONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_BCONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_BCONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_CHLONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_CHLONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_CLDONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_CLDONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_CLEAR_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_CLEAR_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_NO3ONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_NO3ONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_ORGONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_ORGONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_nitrogen_dioxide_under_the_SO4ONLY_scenario
  • var_id: photolysis_rate_of_nitrogen_dioxide_under_the_SO4ONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_AERCLD_scenario
  • var_id: photolysis_rate_of_ozone_under_the_AERCLD_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_AERONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_AERONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_BCONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_BCONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_CHLONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_CHLONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_CLDONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_CLDONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_CLEAR_scenario
  • var_id: photolysis_rate_of_ozone_under_the_CLEAR_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_NO3ONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_NO3ONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_ORGONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_ORGONLY_scenario
  • units: s-1
  • long_name: photolysis_rate_of_ozone_under_the_SO4ONLY_scenario
  • var_id: photolysis_rate_of_ozone_under_the_SO4ONLY_scenario

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
Coverage
Temporal Range
Start time:
2016-11-16T00:00:00
End time:
2017-06-23T22:59:59
Geographic Extent

 
39.9740°
 
116.3710°
 
116.3710°
 
39.9740°