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8 results for “Walker circulation”
Clouds and Radiation in a mock-Walker Circulation model output
<p>Data used in the creation of figures for Silvers and Robinson, Clouds and Radiation in a mock-Walker Circulation. 2020, JAMES. </p> <p>These experiments are described in detail in the paper. They use the AM4.0 physics package on a doubly periodic domain with a warm patch of SST that is fixed in time at the center of the domain. Grid-Spacings of 1km, 2km, 25km, and 100km are explored on different domain sizes. The data set focuses on analysis of the atmospheric circulation and cloud response to this SST warm region.</p> <p>For questions please contact Levi Silvers at levi.silvers@stonybrook.edu, thomas.robinson@noaa.gov</p> <p>Directory contents are described below:</p> <p>#=========================================================================================<br> # data for the P100, P100L, P25, P25L, E25 experiments are in the following directories <br> #=========================================================================================<br> # P100<br> c8x40L33_am4p0_100km_wlkr_ent0p9<br> c8x40L33_am4p0_100km_wlkr_ent0p9_lwoff<br> # P100L<br> c8x160L33_am4p0_100km_wlkr_ent0p9<br> c8x160L33_am4p0_100km_wlkr_ent0p9_lwoff<br> # P25<br> c8x160L33_am4p0_25km_wlkr_ent0p9<br> c8x160L33_am4p0_25km_wlkr_ent0p9_lwoff<br> # P25L<br> c8x640L33_am4p0_25km_wlkr_ent0p9<br> c8x640L33_am4p0_25km_wlkr_ent0p9_lwoff<br> # E25<br> c8x160L33_am4p0_25km_wlkr_ent0p9_noconv<br> c8x160L33_am4p0_25km_wlkr_ent0p9_noconv_lwoff</p> <p># within the directories for each of these experiments: P100, P100L, P25, P25L, E25<br> # there are two files: 1979th1983_daily.nc and 1980th1983.atmos_month_tmn.nc</p> <p># within each of these files are the following variables: <br> 1979th1983_daily.nc<br> 'prec_conv'<br> 'prec_ls'<br> 'precip'</p> <p>1980th1983.atmos_month_tmn.nc<br> 'ps'<br> 'temp'<br> 'ucomp'<br> 'w'<br> 'sphum'<br> 'cld_amt'<br> 'z_full'<br> 'precip'<br> 'prec_conv'<br> 'prec_ls'<br> 'rh'<br> 'tot_liq_amt'<br> 'tot_ice_amt'<br> 'tdt_lw'<br> 'evap'<br> 'shflx'</p> <p><br> #=========================================================================================<br> # data for the E1 and E2 experiments are in the following directories <br> #=========================================================================================<br> # E1 <br> c10x4000L33_am4p0_1km_wlkr_4K<br> c10x4000L33_am4p0_1km_wlkr_4K_lwoff<br> # E2 <br> c50x2000L33_am4p0_2km_wlkr_4K<br> c50x2000L33_am4p0_2km_wlkr_4K_lwoff</p> <p># within each of these directories are two files: 1979_6mn.atmos_month.nc and 1979.6mn.atmos_daily_selvars.nc<br> # these files contain the following variables: </p> <p># 1979_6mn.atmos_month.nc<br> tdt_lw<br> t_surf<br> evap<br> shflx<br> tot_ice_amt<br> tot_liq_amt<br> rh<br> precip<br> z_full<br> cld_amt<br> sphum<br> ucomp<br> temp <br> w<br> ps<br> shflx</p> <p># 1979.6mn.atmos_daily_selvars.nc<br> t_surf<br> ps<br> precip</p> <p>Acknowledgment: Aparna Radhakrishnan supported the provision of this Zenodo DOI. <br> </p>
Dataset - Frequent but Predictable Droughts in East Africa Driven By A Walker Circulation Intensification
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Forced changes in the Pacific Walker circulation over the past millennium
<p><strong>Data & code repository for <em>Forced changes in the Pacific Walker circulation over the past millennium</em></strong></p> <p>This repository contains scripts and auxiliary data necessary for recreating the figures in the paper <em>Forced changes in the Pacific Walker circulation over the past millennium</em> (https://doi.org/10.1038/s41586-023-06447-0) [published in <em>Nature</em> October 2023; available online August 2023].</p> <p>The code is tested with R version 4.1.2. </p> <p><em>Note that the only difference between this and the previous version is a slight update to the reconstruction filenames</em></p> <p><em><strong>Repository Structure</strong></em></p> <ul> <li>`Falster_PWCreconstructions`: zipped folder contains our ensemble reconstruction of ΔSLP (1200-2000 CE) <ul> <li> `Falster2023_PWC_reconstruction.csv`: a csv with one column per ensemble member. Column headers state the reconstruction method, and gridded SLP product used to train the reconstruction (200 ensemble members per unique combination of reconstruction method and training index).</li> <li> `Falster2023_PWC_reconstruction.xlsx`: Excel workbook, with one tab per unique combination of reconstruction method and training index (200 ensemble members each).</li> <li>`Falster2023_PWC_reconstruction_full_ensemble_median_and_95pct_range.csv`: a csv with the median and 95% range (2.5th and 97.5th percentiles) of the full 4800-member ΔSLP reconstruction ensemble. Includes raw summary values, and summary values with a five-year running mean. For robust analysis of ΔSLP, we strongly recommend working with the full ensemble rather than these summary values. </li> </ul> </li> <li>`Falster_PWCreconstruction_code`: zipped folder contains scripts and auxiliary data necessary to generate figures in the main text <ul> <li>`scripts`: contains R scripts necessary to generate figures in the main text <ul> <li>`Figure1`: folder containing scripts to perform analysis and generate Fig. 1 in the main text</li> <li>`Figure2`: folder containing scripts to perform analysis and generate Fig. 2 in the main text</li> <li>`Figure3`: folder containing scripts to perform analysis and generate Fig. 3 in the main text</li> <li>`Figure4`: folder containing scripts to perform analysis and generate Fig. 4 in the main text</li> <li>`Figure5`: folder containing scripts to perform analysis and generate Fig. 5 in the main text</li> <li>`Figure6`: folder containing scripts to perform analysis and generate Fig. 6 in the main text</li> </ul> </li> <li>`data`: contains all auxiliary data necessary for the analysis and visualisation, including: <ul> <li>reconstructions in .rds format</li> <li>shapefiles for mapping</li> <li>processed ΔSLP and Nino 3.4 RSST timeseries from the CESM1 LME and PMIP3/4 models</li> </ul> </li> </ul> </li> </ul> <p><strong>How to cite this repository</strong></p> <p>If using code or data from this repository, please cite the original publication, available from https://www.nature.com/articles/s41586-023-06447-0. </p> <p>This repository can be cited with https://doi.org/10.5281/zenodo.7742760.</p>
NICAM AMIP-type simulation data for the article "Deceleration of Madden–Julian Oscillation Speed in NICAM AMIP-type Simulation Associated with Biases in the Walker Circulation Strength"
<p>This data set includes data from 30-year integration on nonhydrostatic icosahedral atmospheric model (NICAM) following an atmospheric model intercomparison project (AMIP) protocol with a slab ocean model from 1 June 1978 to 6 January 2009 (c.f. Kodama et al. 2015), and their GrADs description ctl files. All outputs are daily averages on 2.5 x 2.5 degrees resolution. Output variables are outgoing longwave radiation (W m<sup>-2</sup>), skin temperature (K), sea surface temperature (K), and zonal wind (m s<sup>-1</sup>) on pressure levels.</p>
Pacific Walker Circulation modulated millennial-scale Asian monsoon rainfall variability over past 40 kyr
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Codes, data and figures for "A hidden link between the Walker circulation and meso-scale heavy rainfall over the eastern Pacific"
<h4><strong>README</strong></h4> <h4><strong>System requirments</strong></h4> <ul> <li><strong>IDL (v8.9)</strong></li> </ul> <h4><strong>Instruction for use</strong></h4> <p>Linux) run IDL (ex. type <em>idl</em>)</p> <p>idl> .r [<em>code_name</em>]<em>.pro </em></p> <p>Window)</p> <p>1. set the directory containing code as current working directory</p> <p> <em>CD, 'absolute adress of code directory'</em></p> <p>2. run the code (hot key is F8)</p> <p> .r [<em>code_name</em>]<em>.pro </em> </p>
kezhoulumelody/WC_Response_Data: Mechanisms of Fast Walker Circulation Response to CO2 Forcing - Data
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Data and codes for Toda et al. 2024 Walker circulation strengthening driven by sea surface temperature changes outside the tropics
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