Implementation of dynamic ageing of carbonaceous aerosols in regional climate model RegCM.

  • Sudipta Ghosh (Creator)
  • Nicole Riemer (Creator)
  • Graziano Giuliani (Creator)
  • Filippo Giorgi (Creator)
  • Dilip Ganguly (Creator)
  • Sagnik Dey (Creator)

Dataset

Description

This dataset contains the RegCM4 simulations used in the article " Implementation of dynamic ageing of carbonaceous aerosols in regional climate model RegCM". This dataset was used to investigate the impact of a new aging parameterisation scheme implemented in a regional climate model RegCM4. The dataset contains two sets of simulations: Expt_fix and Expt_dyn. It consists of the seasonal mean and daily mean values of the variables that were used to create the visualizations of this study. The Expt_fix and Expt_dyn dataset contain 34 and 38 NetCDF files, respectively. The CERES_vs_2expts_new.mat file is the comparison between CERES shortwave downward flux at the surface and same model outputs from two experiments for clear sky and all sky conditions.
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The following information about the dataset was generated on 2021-01-08 by SUDIPTA GHOSH

<b>GENERAL INFORMATION</b>

<i>1. Date of data collection (single date, range, approximate date):</i> 2019-01-01 to 2019-12-31

<i>2. Geographic location of data collection:</i> Urbana-Champaign,Illinois, USA

<i>3. Information about funding sources that supported the collection of the data:</i> This work is supported by the MoEFCC under the NCAP-COALESCE project [Grant No. 14/10/2014-CC]. The first author acknowledges DST-INSPIRE fellowship [IF150055] and Fulbright-Kalam Climate Doctoral fellowship. N. R. acknowledges funding from NSF AGS-1254428 and DOE grant DE-SC0019192. Department of Science and Technology, Funds for Improvement of Science and Technology infrastructure in universities and higher educational institutions (DST-FIST) grant (SR/FST/ESII-016/2014) are acknowledged for the computing support.

<b>DATA & FILE OVERVIEW</b>

<i>1. File List:</i> Expt_fix and Expt_dyn datasets contain the analysed seasonal means and daily means of the variables that have been used to create the visualizations of this study. Each of the Expt_fix and Expt_dyn datasets contains 34 and 38 NetCDF files, respectively.

<i>2. Relationship between files, if important:</i> NA

<i>3. Additional related data collected that was not included in the current data package:</i> No

<b>METHODOLOGICAL INFORMATION</b>

<i>1. Description of methods used for collection/generation of data: </i>

The model RegCM4 code is freely available online from <a href="http://gforge.ictp.it/gf/project/regcm/">http://gforge.ictp.it/gf/project/regcm/</a>.

The anthropogenic aerosol emissions considered for the simulations are taken from IIASA inventory. The data used can be easily accessed online <a href="http://clima-dods.ictp.it/regcm4/">http://clima-dods.ictp.it/regcm4/</a> website.

TRMM observed precipitation data can be assessed from <a href="https://giovanni.gsfc.nasa.gov/giovanni/">https://giovanni.gsfc.nasa.gov/giovanni/</a> website.

CRU temperature data is available at <a href="https://crudata.uea.ac.uk/cru/data/hrg/">https://crudata.uea.ac.uk/cru/data/hrg/</a>.

CERES satellite surface shortwave downward fluxes are available at <a href="https://ceres.larc.nasa.gov/data/">https://ceres.larc.nasa.gov/data/</a> website.

Input files for the RegCM4 model are archived in <a href="http://clima-dods.ictp.it/regcm4/">http://clima-dods.ictp.it/regcm4/</a> website.

This dataset contains the RegCM4 simulations used in the article " Implementation of dynamic ageing of carbonaceous aerosols in regional climate model RegCM ". Two sets of simulations: Expt_fix and Expt_dyn consists of the output data . This dataset only contains the analysed seasonal mean and daily mean of the variables that have been used to create the visualizations of this study. Each of Expt_fix and Expt_dyn contains 34 and 38 NetCDF files respectively. This dataset was used to investigate the impact of a new aging parameterisation scheme implemented in a regional climate model RegCM4.

<i>2. Methods for processing the data:</i> Seasonal Mean and daily average values were extracted from 6-hourly model output.

<i>3. Instrument- or software-specific information needed to interpret the data:</i> CDO-1.7.1, Grads-2.0.a9, Matlab2016b

<i>4. Standards and calibration information, if appropriate:</i> NA

<i>5. Environmental/experimental conditions:</i> NA

<i>6. Describe any quality-assurance procedures performed on the data:</i> NA

<i>7. People involved with sample collection, processing, analysis and/or submission:</i> Sudipta Ghosh, Nicole Riemer, Graziano Giuliani, Filippo Giorgi, Dilip Ganguly, Sagnik Dey

<b>DATA-SPECIFIC INFORMATION FOR: Expt_fix_data.tar.gz</b>

<i>1. Number of variables:</i> 29

<i>2. Number of cases/rows:</i> NA

<i>3. Variable List:</i> Mass concentration (Kg m-3) of BC, BC_HB, BC_HL, OC, OC_HB, OC_HL; Columnar burden (mg m-2)] of BC, BC_HL, BC_HB, OC; Dry deposition flux (mg m-2 day-1) of BC_HB, BC_HL, OC_HB, OC_HL; Wet deposition flux due washout (mg m-2 day-1) of BC_HB, BC_HL, OC_HB, OC_HL; Wet deposition flux due to rainout (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; AOD (unit less), precipitation (Kg m-2 s-1), temperature (K) , v-wind (m s-1), u-wind (m s-1), Surface shortwave downward flux (W m-2), Shortwave radiative forcing at the surface and top of atmosphere (W m-2)

<b>DATA-SPECIFIC INFORMATION FOR: Expt_dyn_data.tar.gz</b>

<i>1. Number of variables:</i> 30

<i>2. Number of cases/rows:</i> NA

<i>3. Variable List:</i> Mass concentration (Kg m-3) of BC, BC_HB, BC_HL, OC, OC_HB, OC_HL; Columnar burden (mg m-2)] of BC, BC_HL, BC_HB, OC; Dry deposition flux (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; Wet deposition flux due washout (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; Wet deposition flux due to rainout (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; AOD (unit less); precipitation (Kg m-2 s-1); temperature (K); v-wind (m s-1); u-wind (m s-1); Surface shortwave downward flux (W m-2); Shortwave radiative forcing at the surface and top of atmosphere (W m-2); ageingscale (s-1)

<b>DATA-SPECIFIC INFORMATION FOR: CERES_vs_2expts_new.mat</b>

<i>1. Number of variables:</i> 12

<i>2. Number of cases/rows:</i> NA

<i>3. Variable List:</i> Surface shortwave downward flux for clear sky (W/m-2) for CERES, Expt_fix, Expt_dyn (for winter JF and monsoon JJAS seasons); Surface shortwave downward flux for all sky conditions (W/m-2) for CERES, Expt_fix, Expt_dyn (for winter JF and monsoon JJAS seasons).

<b>NOTE:</b> The following information applies for all three (3) files:

<i> Missing data codes:</i> NA

<i>Specialized formats or other abbreviations used:</i> NA
Date made availableFeb 28 2021
PublisherUniversity of Illinois at Urbana-Champaign

Keywords

  • regional climate model
  • Carbonaceous aerosols
  • ageing parameterisation scheme
  • NetCDF

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