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23 results for “Asian summer monsoon”
CAIRT FL2S Results of Case Study Scenario 10 (CSS10) for Asian Summer Monsoon
<p>Results of the fast level-2 simulator (FL2S) of CAIRT developed within the Earth Explorer 11 Phase 0 Science and Requirements Consolidation Study (SciReC) – CAIRT. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak'), additional application of noise ('_aknoi'), application of systematic uncertainties ('_sys'), and application of all effects ('_aknoisys'). Further information is available from the authors.</p>
Replication materials for "Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models"
<p>The datasets are replication materials for the research "Effects of Urbanization in China on the East Asian Summer Monsoon as Revealed by Two Global Climate Models". They show urbanization-induced changes in surface air temperature (SAT), precipitation, and 850hPa atmospheric circulation from two global climate models (NCAR CESM1.2.1 and FGOALS-g3).</p>
Orbital effect on millennial-scale East Asian summer monsoon variability during the Holocene
<p>Data for reproducing figures in journal article submitted to JGR: Atmospheres in June 2022.</p> <p>Data generated from hosing simulations of the 8.2 ka BP and 4.2 ka BP events using the CESM1.2.</p>
A high-resolution speleothem record of Marine Isotope Stage 11 as a natural analog to Holocene Asian summer monsoon variations
<p>A full-spectrum characterization of past interglacial climate is a necessary prerequisite for the detection and attribution of climate changes during the current interglacial. Here we present a speleothem record of Asian summer monsoon (ASM) during Marine Isotope Stage (MIS) 11 interglacial (MIS 11c), from Yongxing cave, China. The record’s unprecedented chronologic constraints and decadal-scale temporal resolution allow a precise and direct comparison of ASM between the MIS 11c and the Holocene. Our data suggest that orbital–centennial patterns of ASM were remarkably similar during both interglacial, including their pacing and structure. Notably, a multi-millennial stronger monsoon late in MIS 11c, the ‘Late-MIS 11c shift’, is similar to the Late Holocene strengthening of the ASM, the ‘2-kyr shift’. Thus the multi-centennial ASM weakening at the end of the ‘Late-MIS 11c shift’ could imply that the current century-long ASM waning trend may persist into the future, if only natural forcings are considered.</p>
Identification of the atmospheric water sources and pathways responsible for the East Asian summer monsoon rainfall
<p><strong>era_hydro_easm_jul2013_*.csv.gz:</strong> These three files are the raw output from the TRACMASS trajectory model. They stored positions of each trajectory at the start (ini file), during run (run file) and at the end (out file) during July 2013 and has been used for generating Figure 1.</p> <p><strong>mask.nc:</strong> The basin definition in Figure 1 was plotted using this netcdf file.</p> <p><strong>ep_traj_*.gz: </strong>The four zip files corresponds to four summer months (June, July, August, and September) and used to plot Figure 2.</p> <p><strong>ep_traj_basins_*.gz: </strong>The four zip files corresponds to four summer months (June, July, August, and September) and used to plot Figure 3.</p> <p><strong>quantification.gz: </strong>These files were used for quantification provided in Figure 4 and Figure 8.</p> <p><strong>traj_pathways_*.gz: </strong>The two zip files (one for the South Indian Ocean, SIO and another for the Pacific Ocean, PAC) were used to generate Figure 5.</p> <p><strong>traj_rt.gz: </strong>The residence time of atmospheric waters in Figure 6 was created using the files in this zip.</p> <p><strong>traj_age_*.gz: </strong>The two zip files (one for the South Indian Ocean, SIO and another for the Pacific Ocean, PAC) were used to generate Figure 7.</p>
Remote insolation forcing of orbital-scale South Asian summer monsoon variability
<p>CESM simulation data for the manuscript "Remote insolation forcing of orbital-scale South Asian summer monsoon variability", which has been submitted to Geophysical Research Letters.</p>
Variation of the Asian summer monsoon since the last glacial-interglacial recorded in a stalagmite from southwest China
<p>A high-precise 230Th dated stalagmite from southwestern China was used to reconstruct the changes of ASM and regional hydrological conditions since the last interglacial (3.6–118.1 ka BP) by the coupled δ18O and δ13C. </p>
Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon
<p>This is the CFRAM-A data of "Quantitative interpretation of the physical processes associated with the interannual variation of South Asian summer monsoon". The data includes 10 years: 1997, 1999, 2000, 2001, 2008, 2009, 2013, 2015, 2018, and 2019. Each year includes two "nc" data, one is the partial temperature, the other is the total temperature.</p>
Tracing the origin of the South Asian summer monsoon precipitation and its variability using a novel Lagrangian framework
<p>moc.zip: This dataset was used to calculate the meridional overturning water-mass stream function (Fig.2) and net evaporation which are responsible for net precipitation over the South Asian landmass during June to September months (Fig.3).</p> <p>track_amp.zip: The vertically integrated horizontal water-mass flux was computed from this data (Fig.4).</p> <p>bob_path.zip: Net precipitation (Fig.5) and net evaporation (Fig.6) calculated from Lagrangian water-mass trajectories that have crossed over the Bay of Bengal at least once and fallen down over the South Asian landmass. Also, Table 2 was prepared using this data.</p> <p>evap_precip_basins.zip: This file contain datasets that were used to compute the contribution of separate basins to the South Asian summer monsoon precipitation (Table 1) and also how the spatial distribution related to each basin (Fig.7)</p> <p>interannual.zip: Interannual precipitation variability was obtained from this dataset.</p>
Case Study Scenarios (CSS) 10 for the Asian Summer Monsoon
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Outputs of Numerical experiments verifying the diverse interannual variability of Asian summer monsoon onset process
<p><strong>Introduction</strong></p> <p>We designed two sets of numerical experiments using the Community Earth System Model (CESM 1.2.2) released by NCAR to verify the SSTAs' effect on the interannual modes of ASMOP in April and May. In the atmospheric general circulation model (AGCM) experiments, we solely forced the Community Atmosphere Model version 5.3 (CAM5.3), the atmospheric component of the CESM 1.2.2, by the specific SSTAs in April–May. The AGCM control run included a 40-yr integration forced by the climatological sea surface temperature (SST) with the annual cycle. We attached the specific SSTAs to the climatological SST in each sensitivity experiment and integrated them for 40 years. The ensemble results in the last 30 years were used for analysis. By contrast, in the PACEMAKER experiments, we first integrated the CESM 1.2.2 for 200 years as a control run to exclude the evident climate shift. Afterward, the sensitivity experiments were conducted on the last 100-yr outputs of the control run, in which we nudged the April–May SSTAs in the specific domain but left the rest of the model's coupled climate system free to evolve. The last 30 members were ensembled for analysis in each PACEMAKER experiment. </p> <p><strong>Numerical Experiment Design</strong></p> <p>In the AGCM category, we forced CAM 5.3 by warm SSTAs in the southwestern Indian Ocean (20°S-0°, 40°-80°E) in the ASMOP-PC2 experiment but by cold SSTAs in the western North Pacific (0°-20°N, 120°-160°E) in the ASMOP-PC3 experiment from April to May, respectively. Similar SSTAs were nudged in the two oceanic domains from April to May in the PACEMAKER category.</p> <p><strong>File Description</strong></p> <ol> <li>Output files were saved in the NetCDF format.</li> <li>The "AGCM.tar.gz" and "PACEMAKER.tar.gz" was the compressed files of the atmospheric outputs in May in the AGCM and PACEMAKER experiments, respectively.</li> <li>In each compressed file, the results of the control run (in the subfolder named "Control_Run"), ASMOP-PC2 (in the subfolder named "ASMOP-PC2"), and ASMOP-PC3 (in the subfolder named "ASMOP-PC3") sensitivity experiments were included for comparison.</li> </ol>
Processed model outputs for "South Asian summer monsoon enhanced by the uplift of Iranian Plateau in Middle Miocene"
<p>This dataset contains processed model outputs from modeling experiments performed in Zuo et al. (2024), including a set of 12 experiment with different CO2 concentrations and topography during the Middle Miocene. Due to space limitations, we provide the summer(JJA) mean climatology data for each experiment and some data that can be used to reproduce the figures in this paper. The raw data can be obtained by contacting the corresponding author.</p> <p><strong><span>Table 1. </span></strong><span>Simulations performed with CESM1.2 in this study.</span></p> <table> <tbody> <tr> <td> <p><span>experiment</span></p> </td> <td> <p><span>Geolography</span></p> </td> <td> <p><span>vegetation</span></p> </td> <td> <p><span>CO2</span></p> <p><span>(ppm)</span></p> </td> <td> <p><span>IP</span></p> </td> <td> <p><span>HM</span></p> </td> </tr> <tr> <td> <p><span>piControl</span></p> </td> <td> <p><span>Modern</span></p> </td> <td> <p><span>Modern</span></p> </td> <td> <p><span>280 </span></p> </td> <td> <p><span>Modern</span></p> </td> <td> <p><span>Modern</span></p> </td> </tr> <tr> <td> <p><span>MMIO</span></p> <p><span>(IP100HM80)</span></p> </td> <td> <p><span>M.Miocene*</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> </tr> <tr> <td> <p><span>IP0HM0</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>0</span></p> </td> <td> <p><span>0</span></p> </td> </tr> <tr> <td> <p><span>IP50HM0</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>50%</span></p> </td> <td> <p><span>0</span></p> </td> </tr> <tr> <td> <p><span>IP100HM0</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>100%</span></p> </td> <td> <p><span>0</span></p> </td> </tr> <tr> <td> <p><span>IP0HM100</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>0</span></p> </td> <td> <p><span>100%**</span></p> </td> </tr> <tr> <td> <p><span>IP50HM100</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>50%</span></p> </td> <td> <p><span>100%</span></p> </td> </tr> <tr> <td> <p><span>IP100HM100</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>400</span></p> </td> <td> <p><span>100%</span></p> </td> <td> <p><span>100%</span></p> </td> </tr> <tr> <td> <p><span>MMIO280</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>280</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> </tr> <tr> <td> <p><span>MMIO560</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>560</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> </tr> <tr> <td> <p><span>MMIO800</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>800</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> </tr> <tr> <td> <p><span>MMIO1000</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> <td> <p><span>1000</span></p> </td> <td> <p><span>M. Miocene</span></p> </td> <td> <p><span>M.Miocene</span></p> </td> </tr> </tbody> </table> <p><span>*M.Miocen</span><span>e</span><span>: Middle Miocene</span></p> <p><span>** 100% of the height of modern HM.</span></p>
Characteristics of Raindrop Size Distribution in Western and Eastern Parts of East Asian Summer Monsoon Rainband
<p>The datasets used in our manuscript are provided here, along with the main code.</p>
Data from: Origins of East Asian Summer Monsoon Seasonality
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Slab Ocean forcing file and model output for "Seasonal Transitions and the Westerly Jet in the Holocene East Asian Summer Monsoon"
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Dataset for "Impact of Dust Shortwave Absorbability on the East Asian Summer Monsoon"
<p>Dataset for "Impact of Dust Shortwave Absorbability on the East Asian Summer Monsoon"</p>
Dataset for article "Nonlinear Response of Asian Summer Monsoon Precipitation to Emission Reductions in South and East Asia"
<p>Dataset and jupyter notebook relating to the journal article "Nonlinear Response of Asian Summer Monsoon Precipitation to Emission Reductions in South and East Asia".</p> <p>The published paper can be found at <a href="https://doi.org/10.1088/1748-9326/ac3b19">https://doi.org/10.1088/1748-9326/ac3b19</a></p> <p>The dataset includes all model output. The jupyter notebook has all neccessary scripts for plotting the model output and reproducing figures from the article.</p> <p>In order to run the script please update the dataset path name and figure output path at the beginning of the notebook.</p> <p> </p>
Holocene East Asian Summer Monsoon Precipitation Modulated by Zonal Migration of the Asian Westerly Jet Core
<p>Data and associated codes generated in this study are archived here.</p>
Rapid northwestward extension of the East Asian summer monsoon over the last deglaciation: evidence from mollusk record
<p>The magnitude and rate of spatial expansion of the East Asian summer monsoon (EASM) rain belt as the climate warms remains unclear. Existing assessments still lack the ecological records that are more sensitive to the EASM rainfall to quantify the spatial extension during the past warming scenarios. Here, the spatiotemporal extension of EASM intensity since the last glacial maximum (LGM) is reconstructed using six well-dated mollusk fossil sequences from Chinese loess sections located at the northern part of the EASM. The abundant occurrence of typical dominant mollusk species indicative of EASM intensity gradually delayed from southeast to northwest since the last deglacial warming. The estimated expansion rate of EASM intensity accelerated markedly during the ~12-9 ka (~50 km/ka), which corresponded with the early-Holocene rapid warming period, shifting northwestward ~150 km compared to present. This imply that northern fringe of EASM in northern China will become wetter as the climate warms.</p>
Rapid northwestward extension of the East Asian summer monsoon over the last deglaciation: evidence from mollusk record
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