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5 results for “pinatubo”
Supplementary material for "Inverse Modeling of the Initial Stage of the 1991 Pinatubo Volcanic Cloud Accounting for Radiative Feedback of Volcanic ash" paper
<p>Supplementary material for "Inverse Modeling of the Initial Stage of the 1991 Pinatubo<br>Volcanic Cloud Accounting for Radiative Feedback of Volcanic ash" by A. Ukhov, <br>G. Stenchikov, S.Osipov, N. Krotkov, N. Gorkavyi, C. Li, O. Dubovik, and A. Lopatin.</p> <p>Corresponding author: Alexander Ukhov, alexander.ukhov@kaust.edu.sa</p> <p>Contents<br>0. This 'README' file</p> <p>1. Emission profiles for ash and SO2<br> 1.1 In pickle and txt format, when radiative feedback is accounted for:<br> 1.1.1 Files 'ash_2d_emission_profiles_rad_on' [Mt/sec] and 'ash_2d_emission_profiles.txt' [Mt/(m sec)]<br> 1.1.2 Files 'so2_2d_emission_profiles_rad_on' [Mt/sec] and 'so2_2d_emission_profiles.txt' [Mt/(m sec)]</p> <p> 1.2 In pickle format, when radiative feedback is not accounted for:<br> 1.2.1 Files 'ash_2d_emission_profiles_rad_off' [Mt/sec]<br> 1.2.2 Files 'so2_2d_emission_profiles_rad_off' [Mt/sec]</p> <p>2. python script 'draw_supplementary_profiles.py' plots inverted emission profiles <br> (in pickle format) and their time integrated variants.</p> <p>3. WRF-Chem output file 'wrfout_d01_1991-06-16_00:00:00' in netcdf format contains <br> 3-D fields of ash, sulfate, and SO2 concentrations at 0000 UTC on 16 of June. <br> Instructions on how to process WRF-Chem output are available at the Appendix of [1].</p> <p>4. WRF-Chem domain grid description in the file 'wrf_small_grid.txt'. This file can be<br> used for conservative interpolation of 3-D fields to another grid, for example <br> using 'cdo remapcon'.</p> <p>There are two options: <br>1. Use inverted ash and SO2 emission profiles (see p.1 and p.2)<br>2. Use ash, sulfate, and SO2 concentrations from WRF-Chem output file (see p.3 and p.4)<br> as initial conditions for another run.</p> <p><br>References:<br>1. Ukhov, A., Ahmadov, R., Grell, G., and Stenchikov, G.: Improving dust simulations<br> in WRF-Chem v4.1.3 coupled with the GOCART aerosol module, <br> Geosci. Model Dev., 14, 473–493, https://doi.org/10.5194/gmd-14-473-2021, 2021.</p> <p>2. Ukhov et. al, Enhancing Volcanic Eruption Simulations with the WRF-Chem v4.7.x</p>
SOCOL-AER results simulting aerosol after Pinatubo
<p>See description of experiments in Sukhodolov et al. (2018)</p> <p>REF -*_47*</p> <p>REF12 -*_41*</p> <p>noRAD -*_46*</p> <p>noQBO -*_45*</p> <p>noRADnoQBO -*_44*</p> <p>COAG -*_49*</p> <p>UPWIND -*_43*</p> <p>Nudged -*_50*</p> <p>All datasets have the self-explanatory NETCDF format.</p>
Processed CMIP6 data for "The climate response to the Mt Pinatubo eruption does not constrain climate sensitivity"
<p>Processed CMIP6 output for Pauling et al. "The climate response to the Mt Pinatubo eruption does not constrain climate sensitivity" submitted to Geophysical Research Letters in 2023.</p> <p>Download this code repository: https://doi.org/10.5281/zenodo.7553024 and follow the instructions in the README to download data and reproduce the results of the paper.</p>
Distribution. Recorded only from foothills and lower slopes of Mt Pinatubo, Zambales Mts, C Luzon, Philippines; it may be more widely distributed in Zambales Mts, which remain poorly surveyed for small mammals. in Muridae
Distribution. Recorded only from foothills and lower slopes of Mt Pinatubo, Zambales Mts, C Luzon, Philippines; it may be more widely distributed in Zambales Mts, which remain poorly surveyed for small mammals.
pinatubo_james
pinatubo_james
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