CMIP6 Historical Simulations (1850–2014) With GISS?E2.1

نویسندگان

چکیده

Simulations of the CMIP6 historical period 1850–2014, characterized by emergence anthropogenic climate drivers like greenhouse gases, are presented for different configurations NASA Goddard Institute Space Studies (GISS) Earth System ModelE2.1. The GISS-E2.1 ensembles more sensitive to gas forcing than their CMIP5 predecessors (GISS-E2) but warm less during recent decades due a reduction that is attributed greater longwave opacity in pre-industrial simulations. This results an atmosphere increases from rising concentrations, demonstrating importance base climatology and forced trends. Most model versions match observed temperature trends since 1979 ocean stratosphere. choice important transient response, as found previously GISS-E2: efficiently exports heat deep shows smaller rise tropospheric temperature. Model sea level over traced excessive drawdown aquifers meet irrigation demand with contribution thermal expansion. how fully coupled models can provide indirect observational constraints upon forcing, this case, constraining rates changes. overall agreement familiar evaluation its predecessors, conclusion these almost entirely origin.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

- 1 - Validating Simulations with Historical Data : The State Similarity Measure

Static estimation treats variation in the dependent data as noise, or error. In simulations using agent-based models, however — especially with dynamic responses — such variation in the simulated output may well possess valuable information from the simulation. This paper will explore previous methods of estimating simulation models (such as indirect inference, the method of simulated moments, ...

متن کامل

-1- Agent-based Simulations with Historical Data: Issues in Validation

Static estimation treats variation in the dependent data as noise, or error. In simulations using agent-based models, however — especially with dynamic responses — such variation in the simulated output may well possess valuable information from the simulation. This paper will explore previous methods of estimating simulation models (such as indirect inference, the method of simulated moments, ...

متن کامل

AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6

The Aerosol Chemistry Model Intercomparison Project (AerChemMIP) is endorsed by the Coupled-Model Intercomparison Project 6 (CMIP6) and is designed to quantify the climate and air quality impacts of aerosols and chemically reactive gases. These are specifically near-term climate forcers (NTCFs: methane, tropospheric ozone and aerosols, and their precursors), nitrous oxide and ozonedepleting hal...

متن کامل

The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scen...

متن کامل

Are historical records sufficient to constrain ENSO simulations?

[1] A control simulation of the GFDL CM2.1 global coupled GCM, run for 2000 years with its atmospheric composition, solar irradiance, and land cover held fixed at 1860 values, exhibits strong interdecadal and intercentennial modulation of its ENSO behavior. To the extent that such modulation is realistic, it could attach large uncertainties to ENSO metrics diagnosed from centennial and shorter ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Advances in Modeling Earth Systems

سال: 2021

ISSN: ['1942-2466']

DOI: https://doi.org/10.1029/2019ms002034