BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP)

Zhang, Jie; Wu, Tongwen; Zhang, Fang; Furtado, Kalli; Xin, Xiaoge; Shi, Xueli; Li, Jianglong; Chu, Min; Zhang, Li; Liu, Qianxia; Yan, Jinghui; Wang, Min; Ma, Qiang

doi:10.1007/s00376-020-0151-2

Cited by 11 publications

(5 citation statements)

References 31 publications

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“…Many also have interactive tropospheric chemistry and aerosol schemes. Six such ESMs are employed in this study: BCC-ESM1 (Wu et al, 2020;Zhang et al, 2021), EC-Earth-AerChem (van Noije et al, 2021), GFDL-ESM4 (Dunne et al, 2020), MPI-ESM-1-2-HAM (Neubauer et al, 2019), NorESM2-LM (Seland et al, 2020, and UKESM1-0-LL (Sellar et al, 2019). The surface air temperature simulated in corresponding models with lower-complexity is also examined: BCC-CSM2-MR (Wu et al, 2019b), EC-Earth3 (Döscher et al, 2021), and MPI-ESM1-2-LR (Mauritsen et al, 2019) with prescribed tropospheric chemistry and aerosol; GFDL-CM4 (Held et al, 2019), NorCPM1 (Bethke et al, 2019), and HadGEM3-GC31-LL (Williams et al, 2017) with a prescribed tropospheric chemistry and interactive aerosol scheme.…”

Section: Cmip6 Esmsmentioning

confidence: 99%

The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models

et al. 2021

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Abstract. The Earth system models (ESMs) that participated in the sixth Coupled Model Intercomparison Project (CMIP6) tend to simulate excessive cooling in surface air temperature (TAS) between 1960 and 1990. The anomalous cooling is pronounced over the Northern Hemisphere (NH) midlatitudes, coinciding with the rapid growth of anthropogenic sulfur dioxide (SO2) emissions, the primary precursor of atmospheric sulfate aerosols. Structural uncertainties between ESMs have a larger impact on the anomalous cooling than internal variability. Historical simulations with and without anthropogenic aerosol emissions indicate that the anomalous cooling in the ESMs is attributed to the higher aerosol burden in these models. The aerosol forcing sensitivity, estimated as the outgoing shortwave radiation (OSR) response to aerosol concentration changes, cannot well explain the diversity of pothole cooling (PHC) biases in the ESMs. The relative contributions to aerosol forcing sensitivity from aerosol–radiation interactions (ARIs) and aerosol–cloud interactions (ACIs) can be estimated from CMIP6 simulations. We show that even when the aerosol forcing sensitivity is similar between ESMs, the relative contributions of ARI and ACI may be substantially different. The ACI accounts for between 64 % and 87 % of the aerosol forcing sensitivity in the models and is the main source of the aerosol forcing sensitivity differences between the ESMs. The ACI can be further decomposed into a cloud-amount term (which depends linearly on cloud fraction) and a cloud-albedo term (which is independent of cloud fraction, to the first order), with the cloud-amount term accounting for most of the inter-model differences.

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Section: Cmip6 Esmsmentioning

confidence: 99%

The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models

et al. 2021

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“…ucsd.edu/RG_Climatology.html which were complemented using YoMaHa data accessible at http://apdrc.soest. hawaii.edu/projects/yomaha/, GLORYS data from https://resources.marine.copernicus.eu/, MOM6-JRA data available at https://www.gfdl.noaa.gov/mom-ocean-model/, MOM6-MERRA2 output by Harrison (2022) is archived with an associated https://doi.org/10.5281/zenodo.6342240, and the 32 CMIP6 models' data can be found at https://esgf-node.llnl.gov/search/cmip6 (Bader et al, 2019a(Bader et al, , 2019bBentsen et al, 2019;Boucher et al, 2018;Cao & Wang, 2019;Danabasoglu, 2019aDanabasoglu, , 2019bDix et al, 2019;(EC-Earth), 2019Guo et al, 2018;Hajima et al, 2019;Huang, 2019;Jungclaus et al, 2019;Lee & Liang, 2020;Li, 2019;Lovato & Peano, 2020;Lovato et al, 2021;(NASA/GISS), 2018Park & Shin, 2019;Ridley et al, 2019;Seferian, 2018;Seland et al, 2019;Stouffer, 2019;Swart et al, 2019;Tang et al, 2019;Tatebe & Watanabe, 2018;Voldoire, 2018;Wu et al, 2018;Zhang et al, 2018;Ziehn et al, 2019). The hydrographic data collected during the expedition of the German Research Vessel Maria S. Merian (MSM60) at 34.5°S can be accessed at https://doi.…”

Section: Conflict Of Interestmentioning

confidence: 99%

A Multi‐Data Set Analysis of the Freshwater Transport by the Atlantic Meridional Overturning Circulation at Nominally 34.5°S

Arumí‐Planas,

Dong,

Perez

et al. 2024

JGR Oceans

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The freshwater transport (Mov) by the Atlantic Meridional Overturning Circulation (AMOC) across 34.5°S is computed using observations from 49 eXpendable BathyThermograph (XBT) transects between 2002 and 2019. The Mov at 34.5°S serves as a possible indicator of the AMOC stability, with a negative (southward) freshwater transport indicating a possible bistable AMOC regime and positive (northward) transport indicating a monostable regime. A negative Mov mean of −0.15 ± 0.09 Sv is estimated from the repeated XBT transects, suggesting a bistable AMOC regime. Results are complemented with two data sets derived from Argo float observations, numerical ocean models, and coupled climate models. More than half of the coupled models examined, 20 out of 32, present positive Mov mean values. To investigate the causes of the differing signs of the Mov across the models, we examine the salinity vertical structure in models with positive and negative Mov, indicating fresher upper and saltier deep waters in models with positive Mov. The South Atlantic meridional fluxes show linear relationships, with a negative slope (positively correlated in magnitude) between Mov/MOC and Mov/MHT, and a positive slope (positively correlated) between MHT/MOC. Seasonally, the South Atlantic meridional fluxes from most of the data sets considered here, show a more negative Mov and a more positive MOC and MHT in austral fall and winter from April to August across 34.5°S.

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“…To estimate an initial value for a critical FSM filling parameter (“runoff depth,” a vertical depth quantity with which the DEM is lightly filled), (Barnes et al, 2021) we compared Coupled Model Intercomparison Project Phase 6 (CMIP6) (Zhang et al, 2019) Precipitation (P)–Evapotranspiration (ET) data (https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cmip6?tab=form) with Environment and Climate Change Canada (ECCC) Water Survey of Canada (WSC) observations of river discharge for 1690 active gauging stations throughout Canada. Due to the Canadian Shield's crystalline bedrock substrate and abundant permafrost, we assume negligible subsurface infiltration and storage.…”

Section: Datamentioning

confidence: 99%

Fill‐spill‐merge terrain analysis reveals topographical controls on Canadian river runoff

Wagle,

Smith

2024

Hydrological Processes

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Digital Elevation Models (DEMs) are a crucial tool for watershed analysis, offering valuable insights into landscape‐scale hydrology. Traditional watershed delineations are derived by filling a DEM to force flow paths through topographic depressions, thus creating a continuous drainage network throughout the domain. However, this approach is challenged in landscapes with abundant real‐world depression storage, intermittently flowing stream channels, and internally drained lake basin (endorheic basin) such as the Canadian Shield (CS). The CS landscape is characterized by “fill‐and‐spill” surface water hydrology, with runoff flow paths controlled by bedrock sills and rocky cascades that overtop when water levels are high but cease flowing when water levels are low. To better represent these intermittent drainage networks, we apply a non‐traditional, less‐aggressive DEM filling model (Fill‐Spill‐Merge or FSM) to a continental‐scale DEM (MERIT) all of Canada. To ensure adequate filling of DEM noise while also preserving real‐world topographic depressions, we propose a climatic method to initialize a key FSM parameter (“runoff depth”) that calibrates observed discharges from 1690 Environment and Climate Change Canada (ECCC) river gauges with climate model P‐ET (precipitation minus evapotranspiration) data. Our application of FSM to all 1690 gauged watersheds identifies 916 significant topographical control points controlling >20% and/or 1000 km2 of their respective areas. The Geikie, Snare, Kazan, Tazin, and Seal rivers may be particularly affected, with impacted watershed areas ranging from 12% to 64%. Extending this approach to ungauged parts of the CS reveals an additional 635 significant topographical control points. Ensemble climate model projections suggest that around 10% of these control points are currently dry but will become active by 2100. This research explicitly determines how CS watersheds are affected by fill‐and‐spill hydrology, and demonstrates the importance of accurate terrain modelling for delineating surface water flow paths in depressional landscapes.

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BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP)

Cited by 11 publications

References 31 publications

The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models

The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models

A Multi‐Data Set Analysis of the Freshwater Transport by the Atlantic Meridional Overturning Circulation at Nominally 34.5°S

Fill‐spill‐merge terrain analysis reveals topographical controls on Canadian river runoff

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