Eocene Climate Modelling, and the causes of the Palaeocene-Eocene Thermal Maximum (PETM) 1)Introduction to the PETM 2)Modelling the PETM 3)Modelling the.

Slides:



Advertisements
Similar presentations
Prof. Dr. Olav Hohmeyer IPCC AR4 (2007) Results WG III Folie 1 A Short Overview of the IPCC Report on Climate Change Mitigation 2007 (WG III) Prof. Dr.
Advertisements

160,000 Years Carbon dioxide and global temperature are highly correlated. Temperatures of the past 160,000 years have varied greatly between ice ages.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Extended range forecasts at MeteoSwiss: User experience.
Maths, weather and climate. Chris Budd Some scary climate facts which maths can tell us something about.
Dan LuntEGU 2013Dan Lunt Can Cretaceous and Eocene Data Inform Estimates of Future Climate Sensitivity? Dan Lunt, Claire Loptson, Paul Markwick Introduction.
New estimates of Earth system sensitivity from the Cenozoic Introduction: Earth system sensitivity Case study 1: The mid Pliocene Case study 2: The PETM.
A mechanism for the orbital pacing of Eocene hyperthermals Dan Lunt, Andy Ridgwell, Appy Sluijs, Jim Zachos Stephen Hunter, Alan Haywood Introduction.
Past and Future Climate Simulation Lecture 3 – GCMs: parameterisations (1) From last time – discretising the advection equation (2) Parameterisations:
EGU 2007, CR140 Dan Lunt Introduction. GCM and ice sheet simulations. Conclusions. Other mechanisms for inception. Future plans. The closure of the Panama.
Pliocene Climate Modelling, and the onset of Northern Hemisphere Glaciation 1)The Pliocene 2)Expansion of Greenland glaciation in the Late Pliocene – uncertainties.
Towards predicting climate system changes and diagnosing feedbacks from observations Gabi Hegerl, GeoSciences, U Edinburgh Thanks to: Reto.
Africa Group paper session, Monday 18 February 2008 Charlie Williams Climate modelling in AMMA Ruti, P. M., Hourding, F. & Cook, K. H. CLIVAR Exchanges,
Climate Modeling Inez Fung University of California, Berkeley.
FEEDBACK PARAMETERS Let T s = global mean surface air temperature R= net flux of heat into the climate system ΔR f = change in R due to some change in.
1 MET 112 Global Climate Change MET 112 Global Climate Change - Climate Feedbacks Professor Menglin Jin San Jose State University Outline Stability/instability.
Water Vapor Feedback [W]ater vapor, confessedly the greatest thermal absorbent in the atmosphere, is dependent on temperature for its amount, and if another.
1 Dynamical Polar Warming Amplification and a New Climate Feedback Analysis Framework Ming Cai Florida State University Tallahassee, FL 32306
Cloud Feedback Katinka Nov 7,2011 *Photo taken by Paquita Zuidema in Maldives.
County-level Estimates of Leisure Time Physical Inactivity among Adults aged 20 years old Trends
EU Market Situation for Eggs and Poultry Management Committee 21 June 2012.
4. 2 Moist air thermodynamics (Reading Text
Simulating cloud-microphysical processes in CRCM5 Ping Du, Éric Girard, Jean-Pierre Blanchet.
Catastrophic Events Mr. Johnson, Science.
How will Climate Change in the future? J.SRINIVAS AN Contd...
Name ____________________ Date ___________ Period ____.
1 NWS-COMET Hydrometeorology Course 15 – 30 June 1999 Meteorology Primer.
CanSISE Undergraduate Internship Matthew Pittana York University Christian Haas Group.
Video Field Trip: Polar Weather
The Global Impacts of Deforestation and an Increase in CO 2 Emissions Between 1990 and 2020 Erina Paõline Molina M`rie Angela Petines.
The syllabus says: Atmosphere and change  Describe the functioning of the atmospheric system in terms of the energy balance between solar and long- wave.
Global Warming and Climate Sensitivity Professor Dennis L. Hartmann Department of Atmospheric Sciences University of Washington Seattle, Washington.
Climate models in (palaeo-) climatic research How can we use climate models as tools for hypothesis testing in (palaeo-) climatic research and how can.
“what a climate model is, and what uncertainty means” Noah S. Diffenbaugh Department of Environmental Earth System Science and Woods Institute for the.
Climate Forcing and Physical Climate Responses Theory of Climate Climate Change (continued)
Using observations to reduce uncertainties in climate model predictions Maryland Climate Change Workshop Prof. Daniel Kirk-Davidoff.
Atmospheric Heat Convection, The Sun & Wind
Climate Meteorology. Factors Affecting Climate Climate includes not only the average weather conditions of an area, but also any variations from those.
Paleoclimatology Why is it important? Angela Colbert Climate Modeling Group October 24, 2011.
AGU, San Francisco, 2013 Modelled insights into climate dynamics of the Cretaceous and Paleogene greenhouse Dan Lunt, Claire Loptson, Alex Farnsworth,
EARTH’S CLIMATE. Latitude – distance north or south of equator Elevation – height above sea level Topography – features on land Water Bodies – lakes and.
From Climate Data to Adaptation Large-ensemble GCM Information and an Operational Policy-Support Model Mark New Ana Lopez, Fai Fung, Milena Cuellar Funded.
Lessons from the Miocene Climatic Optimum 100 years from now… Nature’s Fury November 5 th, 2007, Australian National University Nicholas Herold The University.
Greenhouse Effect Mechanisms Affecting the Greenhouse Evidence for Climate Change.
Understanding Pliocene Climate: The Pliocene Model Intercomparison Project Alan Haywood, Aisling Dolan, Stephen Hunter, Daniel Hill, Ulrich Salzmann, Harry.
The Atmosphere: Part 8: Climate Change: Sensitivity and Feedbacks Composition / Structure Radiative transfer Vertical and latitudinal heat transport Atmospheric.
The Water Cycle The Water Cycle Science 8 9/07 Water is a “universal solvent: and wherever it goes throughout the water cycle, it takes up valuable chemicals,
The Hydrosphere. All the different forms of water on Earth.
Heat Transfer & Water in the Atmosphere
Introduction, and history of Eocene modelling Atmosphere-Ocean coupled models ‘EoMIP’ Solutions? – sensitivities to uncertainties Modelling Eocene Climates:
The Water Planet Chapter 2 Section 1. Water Water covers 70% of the earth’s surface Examples: Streams, Rivers, Lakes, Seas, Oceans, Water Vapor, Glaciers,
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
DARGAN M. W. FRIERSON DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 3: 10/08/2015 ATM S 111, Global Warming: Understanding the Forecast.
Page 1© Crown copyright 2004 WP5.3 Assessment of Forecast Quality ENSEMBLES RT4/RT5 Kick Off Meeting, Paris, Feb 2005 Richard Graham.
Earth’s climate and how it changes
© Crown copyright Met Office Uncertainties in the Development of Climate Scenarios Climate Data Analysis for Crop Modelling workshop Kasetsart University,
Radiative forcing of climate by historical land cover change H. Damon Matthews, Andrew J. Weaver, Michael Eby, and Katrin J. Meissner Cory Martin Atmospheric.
How Convection Currents Affect Weather and Climate.
Chapter 16 Global Climate Change. 1. Weather = state of the atmosphere at a particular place at a particular moment. 2. Climate is the long-term weather.
Factors that Affect Climate What is Climate? Weather conditions of an area including any variations from the norm. Exchange of energy and moisture.
Cloud Formation Do Now: Science Trivia Pressure Song 3 times.
Daniel Kirk-Davidoff (University of Maryland) Amy Solomon (NOAA PSD)
Modelling Ancient Earth Climates Manchester Geologist Association
Evolution of the Asian monsoon from the Cretaceous to the modern – a modelling study. Dan Lunt, Alex Farnsworth, Claire Loptson, Paul Markwick “How has.
Cloud Formation and Air Masses
Cloud Formation and Air Masses
EQ: How can I differentiate between weather and climate?
The Nuts and Bolts of Climate Change
Presentation transcript:

Eocene Climate Modelling, and the causes of the Palaeocene-Eocene Thermal Maximum (PETM) 1)Introduction to the PETM 2)Modelling the PETM 3)Modelling the Eocene – a model intercomparison and model-data comparison 4)Sensitivity studies

Zachos et al, Nature, 2001 Orientation…

Zachos et al, Science, 2005

Dunkley Jones et al, 2010

Nunes and Norris, 2006

Bice and Marotzke, 2004

Topography Veg Eocene: (1) boundary conditions Palaeogeography + CO2 Zachos et al, Nature, 2008

Winguth et al, 2010

Lunt et al, Geology, 2010 Heinemann et al, Climate of the Past, 2009 Winguth et al, Journal of Climate, 2010 Huber et al, PPP, 2006 Roberts et al, EPSL, 2009 Panchuk et al, Geology, 2008

Eocene: (2) MIP results

ppmv

What are the reasons for the differences…? Heinemann et al, 2009

Eocene FAMOUS Boundary conditions: 2 x CO 2 0.4% decrease in solar constant palaeogeography uniform vegetation/soil everything else modern Initialised from previous simulation and then ran for 1000 years

Control climate (after 1000 years)

18

Perform 100 simulations for the Eocene, varying some key model parameters. Do any of these simulations result in a good (i.e. warm pole) simulation? –What parameters most influence the warm climates? –Do any of the warm pole models correspond to good simulations of the modern too? First step towards including Eocene in probabilistic predictions of climate sensitivity?

Methodology Select 10 poorly defined parameters Select reasonable possible ranges for each parameter Vary them together (using a latin-hypercube sampling method) Clouds: Threshold of relative humidity for cloud formation (RHcrit) Precipitation ice fall out speed (VF1) Conversion rate of cloud liquid water droplets to precipitation (CT) Threshold value of cloud liquid water for formation of precip. (CW) Convection : Convective roughness length over the sea (Z0FSEA) Gravity wave parameters (WAVE) Sea ice low albedo (ALPHAM) Diffusion in ocean and atmosphere Range of values from literature (Murphy et al. 2004)

Perturbed Physics Simulations 100 simulations performed, each simulation set for 1000 years. –59 simulations failed within 100 years! –4 further simulations failed to complete 1000 years. –Hence only 37 simulations completed to 1000 years. Of these, 19 failed to complete 4000 years But 18 have completed 10,000 years

Range of Global Mean Temperatures FAMOUS Control Good present day models give: 3 models 24-26C 2 models 26-28C 2 models 31-34C

23

24

Sensitivity to boundary condition uncertainties: Effects of Open Arctic: Change in climate due to opening Arctic connections to rest of ocean DJF JJAANN

Sensitivity to Orbital Parameters Change in surface air temperature due to orbital parameter changes Orbital parameters similar to 9kyr BPObliquity = 25.5 o (c.f o )