Analysis of radiative feedbacks in model simulations including interactive chemistry

Similar documents
Can feedback analysis be used to uncover the physical origin of climate sensitivity and efficacy differences?

Impact of wind changes in the upper troposphere lower stratosphere on tropical ozone

Klimaänderung. Robert Sausen Deutsches Zentrum für Luft- und Raumfahrt Institut für Physik der Atmosphäre Oberpfaffenhofen

Understanding Climate Feedbacks Using Radiative Kernels

Key Feedbacks in the Climate System

Lecture 9: Climate Sensitivity and Feedback Mechanisms

Assessing and understanding the role of stratospheric changes on decadal climate prediction

Relation of atmospheric humidity and cloud properties to surface-near temperatures derived from GOME satellite observations

Aerosol submodel MADE: New developments

Role of the Asian Monsoon in stratosphere troposphere exchange

Coupling the Chemistry in Earth System Models on multiple Scales (ChESS)

Impact of Solar and Sulfate Geoengineering on Surface Ozone

A large ozone-circulation feedback and its implications for global warming assessments

Lecture 10: Climate Sensitivity and Feedback

Intensification of the shallow BDC branch: mechanism and consequences for Age of Air

Diagnosis of Relative Humidity Changes in a Warmer Climate Using Tracers of Last Saturation

Climate change with an iris-effect. Thorsten Mauritsen and Bjorn Stevens Max Planck Institute for Meteorology, Hamburg

Atmospheric humidity and clouds - what can we learn from stratospheric water? Stephan Fueglistaler

Radiative forcing due to stratospheric water vapour from CH 4 oxidation

Climate Models & Climate Sensitivity: A Review

Future Development of Contrail Cover, Optical Depth, and Radiative Forcing: Impacts of Increasing Air Traffic and Climate Change

Simulation of stratospheric water vapor trends: impact on stratospheric ozone chemistry

Radiative forcing from tropospheric and stratospheric ozone

Radiative Control of Deep Tropical Convection

Stratospheric sulfate geoengineering has limited efficacy and increases tropospheric burdens

Tropospheric Ozone from GOME_2 also in combination with other stratospheric ozone measurements

IPCC AR5: Projections, predictions and progress since AR4

Contrail cirrus and their climate impact

Why build a climate model

The Study of the Atmosphere

Relationships between the North Atlantic Oscillation and isentropic water vapor transport into the lower stratosphere

Carbon dioxide s direct weakening of the tropical circulation: from comprehensive climate models to axisymmetric Hadley cell theory

Characterizing the role of diabatic processes for the modification of mid-latitude Rossby waves and Jetstream winds

2. Meridional atmospheric structure; heat and water transport. Recall that the most primitive equilibrium climate model can be written

A High Latitude Convective Cloud Feedback and Equable Climates

The influence of spectral solar irradiance data on stratospheric heating rates during the 11 year solar cycle

Radiative Effects of Contrails and Contrail Cirrus

Features of Global Warming Review. GEOG/ENST 2331 Lecture 23 Ahrens: Chapter 16

Science Overview Asian Summer Monsoon Chemical and Climate Impact Project (ACCLIP)

Stratospheric sulfate geoengineering has limited efficacy and increases tropospheric sulfate burdens

Radiative equilibrium and vertical temperature profile

Assessment Schedule 2017 Earth and Space Science: Demonstrate understanding of processes in the atmosphere system (91414)

INCA, relative humidities, TROCCINOX / HIBISCUS

Upper tropospheric humidity, radiation, and climate

Introduction to HadGEM2-ES. Crown copyright Met Office

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

Supporting Information for Feedback Temperature Dependence Determines the Risk of High Warming

Trends of Lower- to Mid-Stratospheric Water Vapor Simulated in Chemistry-Climate Models

Water Vapor in the Stratospheric Overworld

Earth s Radiation Budget & Climate

Global Energy Balance: Greenhouse Effect

Stratospheric Change and its Role for Climate Prediction (SHARP): A contribution to SPARC

On the interpretation of inter-model spread in CMIP5 climate sensitivity

Routing options to reduce aviation s climate impact

Lecture 3: Global Energy Cycle

Contrails in a comprehensive global climate model: Parameterization and radiative forcing results

Robustness of Dynamical Feedbacks from Radiative Forcing: 2% Solar versus 2 3 CO 2 Experiments in an Idealized GCM

SIMPLE CLIMATE MODELING. Ka Kit Tung

Radiative-Convective Models. The Hydrological Cycle Hadley Circulation. Manabe and Strickler (1964) Course Notes chapter 5.1

Consequences for Climate Feedback Interpretations

Estimating the influence of summertime deep convection over the Tibetan Plateau on water vapor transport into the tropical lower stratosphere

The Climate Sensitivity of the Community Climate System Model: CCSM3. Jeffrey T. Kiehl*, Christine A. Shields, James J. Hack and William D.

1 Climatological balances of heat, mass, and angular momentum (and the role of eddies)

Climate Feedbacks from ERBE Data

Interhemispheric climate connections: What can the atmosphere do?

IV. Atmospheric Science Section

Modeling of Jupiter s stratosphere: new radiation code and impacts on the dynamics

Chapter 6: Modeling the Atmosphere-Ocean System

Dynamical balances and tropical stratospheric upwelling

Guest Blog for Climate Science: Roger Pielke Sr. Research Group News SPPI Reprint Series

9/5/16. Section 3-4: Radiation, Energy, Climate. Common Forms of Energy Transfer in Climate. Electromagnetic radiation.

Future changes in Elevated Stratopause Events

A GCM Study of Volcanic Eruptions as a Cause of Increased Stratospheric Water Vapor

NATURAL CLIMATIC FORCING Part II

SUPPLEMENTARY INFORMATION

CONTENTS 1 MEASURES OF ATMOSPHERIC COMPOSITION

Importance of clouds and aerosols in assessing climate change

Prediction of cirrus clouds in GCMs

An Introduction to Coupled Models of the Atmosphere Ocean System

Ozone_CCI Contribution

Global long term data sets of the atmospheric H 2 O VCD and of cloud properties derived from GOME and SCIAMACHY

Climate Variability Natural and Anthropogenic

What is a Sudden Stratospheric Warming?

How to tackle long-standing uncertainties?

Arctic Oxidation Chemistry

Climate and the Atmosphere

ATMS 321: Sci. of Climate Final Examination Study Guide Page 1 of 4

Characteristics of the QBO- Stratospheric Polar Vortex Connection on Multi-decadal Time Scales?

The early 20th century warming in the Arctic A possible mechanism

Climate Change and Variability in the Southern Hemisphere: An Atmospheric Dynamics Perspective

A diagnostic interface for ICON Coping with the challenges of high-resolution climate simulations

Understanding the importance of chemistry representation in CESM1-CAM5

Warm and sensitive Paleocene-Eocene climate e

ttp://news.discovery.com/earth/iceland-volcano-aurora.html

CLIMATE AND CLIMATE CHANGE MIDTERM EXAM ATM S 211 FEB 9TH 2012 V1

Impacts of aerosols in the CORDEX-Europe domain using the regional aerosol-climate model REMO-HAM

Unique nature of Earth s atmosphere: O 2 present photosynthesis

A Review of Soden et al: Global Cooling After the Eruption of Mount Pinatubo: A Test of Climate Feedback by Water Vapor.

Day 1 of Global Warming. Copyright 2008 Pearson Education, Inc., publishing as Pearson Benjamin Cummings

Klimaänderung. Robert Sausen Deutsches Zentrum für Luft- und Raumfahrt Institut für Physik der Atmosphäre Oberpfaffenhofen

Transcription:

Analysis of radiative feedbacks in model simulations including interactive chemistry Michael Ponater Simone Dietmüller Vanessa Rieger Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institute for Atmospheric Physics, Oberpfaffenhofen, Germany. Slide 1 of 13

Radiative forcing, climate response, climate sensitivity and radiative feedbacks The climate sensitivity parameter λλ links the global mean surface temperature response (ΔTT SS ) and the radiative forcing RRRR: ΔTT SS = λλ RRRR λλ crucially depends on the strengths of a number of the radiative feedbacks (α x ) acting in a given model and for a given forcing perturbation: 1 λλ = α = Σα x As the feedbacks may be both model and perturbation dependent, so is the climate sensitivity parameter. Slide 2 of 13

Physical feedbacks in climate models The strength of global radiative feedbacks (particularly via clouds) is kwn to differ between different climate models (here: example from Bony et al., 2006), resulting in a model dependent climate sensitivity parameter (λ). Hence, different climate models simulate a different temperature response development, even if the (radiative) forcing is the same (here: IPCC, 2013). Slide 3 of 13

Introducing interactive chemistry to equilibrium climate change simulations adds new feedbacks CO 2 perturbation simulations: CO 2 RF climate change ΔT s eq α phys T, q, cld, alb, α chem O 3, CH 4, N 2 O α = α x = α pla + α q + α LR + α alb + α cld + x + α O3 + α CH4 + α N2O + α FCKW + α Aero Slide 4 of 13

ECHAM5/MESSy Atmospheric Chemistry (EMAC) ECHAM5 = ECMWF-model, version 5 HAMburg General circulation model Reference: Roeckner et al., MPI-Report No.349 MESSy = Modular Earth Submodel System Reference: Jöckel et al., 2005 (Atmos. Chem. Phys.) an interface with infrastructure to couple 'processes' (submodels) to a GCM (base model) a set of processes coded as switchable submodels an appropriate coding standard Slide 5 of 13

CO 2 simulations: interactive chemistry reduces climate sensitivity EMAC (without chemistry) T s,chem = 2.91 K Significant reduction of climate sensitivity through chemical feedbacks by 3.4 % (2xCO2) or 8.4 % (4xCO2), respectively. EMAC (with chemistry) T s,chem = 2.81 K (Statistical) uncertainties increase as the forcing decreases (Dietmüller et al.. 2014) Simulation RF Wm -2 75 ppmv CO 2 increase +75CO2 1.06 chemistry Doubling of CO 2 2xCO2 4.13 Quadrupling of CO 2 4xCO2 8.93 Climate sensitivity λ (K/Wm -2 ) mean 0.73 0.63 0.70 0.68 0.91 0.84 [95% confi.] [0.67; 0.79] [0.57; 0.68] [0.69; 0.72] [0.66; 0.69] [0.90; 0.92] [0.83; 0.85]

Negative global mean ozone feedback O 3 2xCO2 - REF slower ozone destruction enhanced tropical upwelling as troposphere warms more PSCs in cooler stratosphere tropopause lifting changed NO y response Radiative feedback (Wm -2 ) 2xCO2 latitude α O3 = 0.022 Wm 2 K 1 4xCO2 α O3 = 0.015 Wm 2 K 1 (Dietmüller et al.. 2014) Slide 7 of 13

Ozone feedback reduces stratospheric water vapour feedback T 2xCO2 chem q 2xCO2 chem Δα q = 0.027 Wm 2 K 1 4xCO2 T 2xCO2 chem T 2xCO2 chem q 2xCO2 chem q 2xCO2 chem K % Δα q = 0.047 Wm 2 K 1 (Dietmüller et al.. 2014) Ozone feedback leads to reduced heating at the tropical cold point tropopause. Stratospheric water vapor increase and its radiative feedback is smaller than without interactive chemistry. Slide 8 of 13

Radiative feedback analysis explains reduced climate sensitivity Taking into account interactive chemistry in CO 2 -driven climate change simulations (Dietmüller et al.. 2014) introduces an additional negative feedback from stratospheric ozone. leads to a reduction of the stratospheric water vapour feedback by between 15% and 20%. reduces the climate sensitivity by 3.4% (2xCO2) and 8.4% (4xCO2) in comparison to an equivalent model setup with prescribed ozone. Robustness EMAC/MLO results qualitatively confirmed by 2 similar model setups in 4xCO2 simulations (Muthers et al., 2014, Nowack et al., 2015), but the latter paper finds 20% climate sensitivity reduction in HADGEM3/AO. www.dlr.de Slide 9 Slide 9 of 13

Non-CO 2 simulations: ozone forcing (ΔO 3 ) from enhanced NO x +CO ΔO3 (%) surface emissions Even larger (negative) ozone feedback (α O3 = 0.166 Wm 2 K 1 ) compared to a CO 2 - driven simulation with similar RF, yet the climate sensitivity increases in the setup including interactive ozone chemistry! (Dietmüller, 2011) Ozone change due to enhanced NO X /CO emissions Simulation RF Wm -2 chemistry Climate sensitivity λ (K/Wm -2 mean [95% confi.] Ozone change from higher NOX+CO surface emissions NOX+CO 1.22 0.62 0.69 [0.55; 0.68] [0.65; 0.73] 75 ppmv CO 2 increase +75CO2 1.06 Doubling of CO 2 2xCO2 4.13 Quadrupling of CO 2 4xCO2 8.93 0.73 0.63 0.70 0.68 0.91 0.84 [0.67; 0.79] [0.57; 0.68] [0.69; 0.72] [0.66; 0.69] [0.90; 0.92] [0.83; 0.85] Slide 10 of 13

Non-CO 2 simulations: ozone forcing (ΔO 3 ) from enhanced NO x +CO surface emissions Complete feedback analysis of all contributing feedback components required! Slide 11 of 13

Non-CO 2 simulations: ozone feedback overcompensated by changes in physical feedbacks 3,0 feedback parameter [W/m²/K] 2,0 1,0 0,0-1,0-2,0-3,0-4,0 αα pppppp αα LLLL αα ssssss αα AA αα qq αα CC αα OO3 Σαα xx Ozone feedback negative in NOX+CO (chem), contributions from both tropospheric and stratospheric ozone. Sum of feedbacks less negative in NOX+CO (chem) consistent with higher climate sensitivity compared to NOX+CO (chem). Cloud feedback (αα CC ) increases significantly if chemical feedbacks are included (chem). chem chem (Rieger, 2014) Slide 12 of 13

Conclusions Interactive ozone, moderately but significantly, reduces the climate sensitivity in CO 2 -driven climate change simulations. The ozone radiative feedback is negative and dominated by stratospheric ozone changes. The negative ozone feedback is substantially amplified by a change in stratospheric water vapour feedback. If climate change is driven by ozone changes from enhanced NO x /CO surface emissions, the climate sensitivity increases when using interactive chemistry. The ozone feedback is still negative but its effect is reversed by changes in the physical feedback. Conceptual advances of the mode setup are necessary to represent methane and nitrous oxide feedbacks, too. Slide 13 of 13