Conservation and boundary fluxes in CAM

Size: px
Start display at page:

Download "Conservation and boundary fluxes in CAM"

Transcription

1 Conservation and boundary fluxes in CAM Thomas Toniazzo Uni Research Climate Bjerknes Centre for Climate Research Bergen, Norway AMWRG meeting NCAR, 18 February 2015

2 Part I Energy

3 Ensuring energy conservation We need to enforce this equation:

4 Ensuring energy conservation We enforce this equation: dynamics

5 Ensuring energy conservation We enforce this equation: dynamics physics

6 Ensuring energy conservation We enforce this equation: adjustment dynamics physics

7 Ensuring energy conservation We enforce this equation: adjustment dynamics physics CAM-FV's energy formulation error Williamson et al. 2015, submitted to J.Clim. This talk

8 Ensuring energy conservation We enforce this equation: adjustment Implied conservation law: dynamics physics

9 change in total energy lid work enthalpy flux divergence surface fluxes diabatic sources material change

10 change in total energy lid work dynamics enthalpy flux divergence surface fluxes diabatic sources material change

11 change in total energy lid work dynamics enthalpy flux divergence surface fluxes physics diabatic sources material change

12 change in total energy lid work dynamics enthalpy flux divergence surface fluxes physics diabatic sources hydrost. adjustment material change

13 global energy budget dynamics enthalpy flux divergence surface fluxes physics diabatic sources hydrost. adjustment material change

14 global energy budget dynamics enthalpy flux divergence surface fluxes physics diabatic sources material change

15 Interim summary: Energy conservation requires that pressure work from hydrostatic adjustment associated with material sources and sinks be matched by fluxes of heat corresponding to the total enthalpy held by the exchanged material The rest is details...

16 Details 1 CAM's energy update problem

17 (lagrangian) dynamics phys. par. 1 q,t update 1 phys. par. 2 (eulerian eta) q,t update 2... q,t update N adjustment of p, T Inluding surface fluxes (coupling) Timestepping in CAM: conceptual outline

18 (lagrangian) dynamics phys. par. 1 wrong T updt 1 phys. par. 2 (eulerian eta) wrong T updt 2... wrong T updt N Timestepping in CAM: ugly reality (old)

19 (lagrangian) dynamics phys. par. 1 wrong T updt 1 phys. par. 2 (eulerian eta) wrong T updt 2... wrong T updt N

20 (lagrangian) dynamics phys. par. 1 wrong T updt 1 phys. par. 2 (eulerian eta) wrong T updt 2... wrong T updt N Cumlated T-tendency

21 (lagrangian) dynamics phys. par. 1 wrong T updt 1 phys. par. 2 (eulerian eta) wrong T updt 2... wrong T updt N KLUDGE Cumlated T-tendency

22 (lagrangian) dynamics phys. par. 1 wrong T updt 1 phys. par. 2 (eulerian eta) wrong T updt 2... wrong T updt N KLUDGE adjustment of p no adjustment of T Cumlated T-tendency

23 (lagrangian) dynamics Cure step 1 phys. par. 1 wrong T updt 1 phys. par. 2 (eulerian eta) wrong T updt 2... wrong T updt N KLUDGE adjustment of p no adjustment of T Cumlated T-tendency Correct the update

24 (lagrangian) dynamics Cure step 2 phys. par. 1 q,t update 1 phys. par. 2 (eulerian eta) q,t update 2... q,t update N KLUDGE adjustment of p no adjustment of T Cumlated T-tendency Remove old fixes

25 DLW et al., presentation at AMWG February 2014 TEMPERATURE (K) 10 YEAR ANNUAL AVERAGE CORRECT ENERGY minus ERA40 CAM5.2 minus ERA40

26 DLW et al., presentation at AMWG February 2014 TEMPERATURE (K) 10 YEAR ANNUAL AVERAGE CORRECT ENERGY minus ERA40 CAM5.2 minus ERA40 This was mainly due to an incorrect adjustment

27 DLW et al., presentation at AMWG February 2014 TEMPERATURE (K) 10 YEAR ANNUAL AVERAGE CORRECT ENERGY minus ERA40 CAM5.2 minus ERA40 This was mainly due to an incorrect adjustment (which preserved energy!)

28 Details 2 CAM's erroneous formulation of energy conservation

29 (lagrangian) dynamics Cure step 3 phys. par. 1 q,t update 1 phys. par. 2 (eulerian eta) q,t update 2... q,t update N adjustment of p no adjustment of T Adjustment must also be corrected

30 CAM's hydrostatic mass fixer (dme_adjust) Physics updates layer q and T but NOT layer-interface pressure. (-δq) pk+1 So if e.g. precipitation is formed... then water is removed... pk δq but hydrostatic pressure is not changed... pk-1 which implies that dry mass is added to compensate.

31 CAM's hydrostatic mass fixer (dme_adjust) The dry mass and the hydrostatic pressure both need to be adjusted to ensure conservation of dry air. In all version of CAM, this is done in physics_dme_adjust... pk+1 pk pk-1 p'k+1 p'k p'k-1

32 CAM's hydrostatic mass fixer (dme_adjust) The dry mass and the hydrostatic pressure both need to be adjusted to ensure conservation of dry air. In all version of CAM, this is done in physics_dme_adjust... pk+1 pk pk-1 p'k+1 p'k p'k-1 then T is adjusted to conserve total column energy

33 Work associated with hydrostatic mass adjustment First law of Thermodynamics: d dp = dt dt where ε is the specific internal enthalpy and α the specific volume. pk+1 p'k+1 pk p'k pk-1 p'k-1 Physics parametrisations should keep correct energy budgets. But they don't. So this needs to be done in dme_adjust.

34 TEMPERATURE (K) 10 YEAR ANNUAL AVERAGE CORRECT ENERGY minus ERA40 (a) Pres.adj.(Ф) ERA/I: T CAM5.2 minus ERA40 (b) Original CAM4 ERA/I: T

35 TEMPERATURE (K) 10 YEAR ANNUAL AVERAGE CORRECT ENERGY minus ERA40 CAM5.2 minus ERA40 Consistent adjustment saves model climatology (a) Pres.adj.(Ф) ERA/I: T (b) Original CAM4 ERA/I: T (c) α(δp) ERA/I: T

36 TEMPERATURE (K) 10 YEAR ANNUAL AVERAGE CORRECT ENERGY minus ERA40 (a) Pres.adj.(Ф) ERA/I: T t u B o m n l de on l o CAM5.2 minus ERA40 p p a r a e o c o t s (b) Original CAM4 ERA/I: T r e g e n e l a t Consistent o t adjustment e v r saves model e ns climatology (c) α(δp) ERA/I: T! y rg

37 Details 3 How to fix it

38 global energy budget enthalpy flux divergence surface fluxes physics material change

39 CAM's energy budget enthalpy flux divergence surface fluxes physics mass change this term ignored

40 CAM's energy budget enthalpy flux divergence surface fluxes physics + energy fixer residual, applied uniformly everywhere

41 CAM's energy budget revised [...] mass change

42 CAM's energy budget revised [...] hq mass source with specific enthalpy hq hm h q heat transfer between atmosphere and mass source

43 CAM's energy budget revised hm h q /c p, air Air temperature increment associated with heat transfer between atmosphere and mass source hq Additional boundary heat flux, output diagnostics EFLX Now implemented in physics_dme_adjust atmospheric energy budget closed only if considering EFLX global heat budget closed only if EFLX passed to other ES components

44 hq It should be the job of each specific physics submodel/parametrisation to determine. E.g., how much of its enthalpy does a raindrop retain? all (hq=hm) terminal velocity + thermal other

45 hq It should be the job of each specific physics submodel/parametrisation to determine. E.g., how much of its enthalpy does a raindrop retain? V all ( terminal velocity ~ 300m/s!) terminal velocity + thermal other

46 hq It should be the job of each specific physics submodel/parametrisation to determine. E.g., how much of its enthalpy does a raindrop retain? V all ( terminal velocity ~ 300m/s!) terminal velocity + thermal V other, e.g. ocean and land models assume T q=t surf hq=c p, water T surf

47 Details 4 Implications for surface fluxes

48 Preliminary note on Details 4 All net mass sources and sinks reside at the surface. Therefore the net atmospheric column energy imbalance associated with mass changes must be closed by surface heat fluxes.

49 Surface heat fluxes EC

50 Surface heat fluxes EC ~0.3 W/m² global avg

51 Surface heat fluxes ECx No surface imbalance

52 Details 5 Impacts on simulation results

53

54

55

56

57

58

59 Summary: energy Correction of energy errors in CAM involves 3 changes: 1. Temperature updating (physics_update) 2. Hydrostatic pressure work of layer mass changes (dme_adjust) 3. Enthalpy fluxes associated with mass and evt heat transfers (eodem) Need to account for boundary fluxes of enthalpy associated with mass exchanges (new diagnostics EFLX) Implementations given for two no-physics assumptions 1. adiabatic 2. mass-less h q=hm h q=c p,water T surf (AMIP) (coupled) Impact on atmosph. mean thermal structure small in AMIP runs Impact on air-sea fluxes and diabatic tendencies NOT negligible Together with COARE boundary flux computation, significant improvements in AMIP and coupled climatologies (NorESM)

60 Conclusions Mass and energy conservation in CAM not exact Code revision necessary to enforce energy conservation Impact on surface fluxes stronger than on mean state in AMIP simulations

Aquaplanet warming experiments with CAM: a tale of the subtropics

Aquaplanet warming experiments with CAM: a tale of the subtropics Aquaplanet warming experiments with CAM: a tale of the subtropics AMWG meeting, 12 February 2018, NCAR Thomas Toniazzo Uni Research (?) & Bjerknes Centre Bergen, Norway Plan of this talk A) Intro B) Slab

More information

CESM2 release of CAM-SE (& CAM-SE-CSLAM)

CESM2 release of CAM-SE (& CAM-SE-CSLAM) CESM2 release of CAM-SE (& CAM-SE-CSLAM) Peter Hjort Lauritzen National Center for Atmospheric Research Boulder, Colorado, USA Collaborators: S. Goldhaber (NCAR), J. Bacmeister (NCAR), R.D.Nair (NCAR),

More information

CAM-SE: Lecture I. Peter Hjort Lauritzen

CAM-SE: Lecture I. Peter Hjort Lauritzen CAM-SE: Lecture I Peter Hjort Lauritzen Atmospheric Modeling and Predictability Section Climate and Global Dynamics Laboratory National Center for Atmospheric Research 2nd WCRP Summer School on Climate

More information

Enforcing conservation of atmospheric axial angular momentum in CAM FV: Method and results in CESM2 and NorESM2 simulations

Enforcing conservation of atmospheric axial angular momentum in CAM FV: Method and results in CESM2 and NorESM2 simulations Enforcing conservation of atmospheric axial angular momentum in CAM FV: Method and results in CESM2 and NorESM2 simulations Thomas Toniazzo AMWG meeting, Boulder 28 February 2017 PH EW! Enforcing conservation

More information

Recent, current & future work with NorESM-L in Bergen

Recent, current & future work with NorESM-L in Bergen Recent, current & future work with NorESM-L in Bergen Thomas Toniazzo, Ingo Bethke, Mats Bentsen, Francois Counillon, Noel Keenlyside, and others... AMWG meeting Boulder, 10/2/2014 Low-resolution Norwegian

More information

NWP Equations (Adapted from UCAR/COMET Online Modules)

NWP Equations (Adapted from UCAR/COMET Online Modules) NWP Equations (Adapted from UCAR/COMET Online Modules) Certain physical laws of motion and conservation of energy (for example, Newton's Second Law of Motion and the First Law of Thermodynamics) govern

More information

Chapter 4 Water Vapor

Chapter 4 Water Vapor Chapter 4 Water Vapor Chapter overview: Phases of water Vapor pressure at saturation Moisture variables o Mixing ratio, specific humidity, relative humidity, dew point temperature o Absolute vs. relative

More information

1/18/2011. Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis ESS227 Prof. Jin-Yi Yu

1/18/2011. Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis ESS227 Prof. Jin-Yi Yu Lecture 2: Basic Conservation Laws Conservation Law of Momentum Newton s 2 nd Law of Momentum = absolute velocity viewed in an inertial system = rate of change of Ua following the motion in an inertial

More information

Reduced Complexity Frameworks for Exploring Physics Dynamics Coupling Sensitivities

Reduced Complexity Frameworks for Exploring Physics Dynamics Coupling Sensitivities Reduced Complexity Frameworks for Exploring Physics Dynamics Coupling Sensitivities Kevin A. Reed & Adam R. Herrington School of Marine and Atmospheric Sciences Stony Brook University, Stony Brook, New

More information

Innovation, increments, and residuals: Definitions and examples. Patrick Heimbach MIT, EAPS, Cambridge, MA

Innovation, increments, and residuals: Definitions and examples. Patrick Heimbach MIT, EAPS, Cambridge, MA Innovation, increments, and residuals: Definitions and examples Patrick Heimbach MIT, EAPS, Cambridge, MA Outline 1. Why should we / do we care? 2. How does (re- )analysis really work? 3. Conclusions Balance

More information

A numerical sink of axial angular momentum in CAM-FV

A numerical sink of axial angular momentum in CAM-FV A numerical sink of axial angular momentum in CAM-FV Thomas Toniazzo, Peter Lauritzen, Christiane Jablonowski, Mats Bentsen, Helge Drange, Trond Iversen AMWG meeting, Boulder 9 Februrary 2016 CAM-FV likes

More information

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

Atmospheric humidity and clouds - what can we learn from stratospheric water? Stephan Fueglistaler Atmospheric humidity and clouds - what can we learn from stratospheric water? Stephan Fueglistaler The stratosphere is the driest place in the atmosphere as we know it. This workshop is about "Convection,

More information

A Global Atmospheric Model. Joe Tribbia NCAR Turbulence Summer School July 2008

A Global Atmospheric Model. Joe Tribbia NCAR Turbulence Summer School July 2008 A Global Atmospheric Model Joe Tribbia NCAR Turbulence Summer School July 2008 Outline Broad overview of what is in a global climate/weather model of the atmosphere Spectral dynamical core Some results-climate

More information

Conservation of Mass Conservation of Energy Scaling Analysis. ESS227 Prof. Jin-Yi Yu

Conservation of Mass Conservation of Energy Scaling Analysis. ESS227 Prof. Jin-Yi Yu Lecture 2: Basic Conservation Laws Conservation of Momentum Conservation of Mass Conservation of Energy Scaling Analysis Conservation Law of Momentum Newton s 2 nd Law of Momentum = absolute velocity viewed

More information

Isentropic flows and monsoonal circulations

Isentropic flows and monsoonal circulations Isentropic flows and monsoonal circulations Olivier Pauluis (NYU) Monsoons- Past, Present and future May 20th, 2015 Caltech, Pasadena Outline Introduction Global monsoon in isentropic coordinates Dry ventilation

More information

Governing Equations and Scaling in the Tropics

Governing Equations and Scaling in the Tropics Governing Equations and Scaling in the Tropics M 1 ( ) e R ε er Tropical v Midlatitude Meteorology Why is the general circulation and synoptic weather systems in the tropics different to the those in the

More information

Temperature and rainfall changes over East Africa from multi-gcm forced RegCM projections

Temperature and rainfall changes over East Africa from multi-gcm forced RegCM projections Temperature and rainfall changes over East Africa from multi-gcm forced RegCM projections Gulilat Tefera Diro and Adrian Tompkins - Earth System Physics Section International Centre for Theoretical Physics

More information

ATS 421/521. Climate Modeling. Spring 2015

ATS 421/521. Climate Modeling. Spring 2015 ATS 421/521 Climate Modeling Spring 2015 Lecture 9 Hadley Circulation (Held and Hou, 1980) General Circulation Models (tetbook chapter 3.2.3; course notes chapter 5.3) The Primitive Equations (tetbook

More information

The linear additivity of the forcings' responses in the energy and water cycles. Nathalie Schaller, Jan Cermak, Reto Knutti and Martin Wild

The linear additivity of the forcings' responses in the energy and water cycles. Nathalie Schaller, Jan Cermak, Reto Knutti and Martin Wild The linear additivity of the forcings' responses in the energy and water cycles Nathalie Schaller, Jan Cermak, Reto Knutti and Martin Wild WCRP OSP, Denver, 27th October 2011 1 Motivation How will precipitation

More information

Transpose-AMIP. Steering committee: Keith Williams (chair), David Williamson, Steve Klein, Christian Jakob, Catherine Senior

Transpose-AMIP. Steering committee: Keith Williams (chair), David Williamson, Steve Klein, Christian Jakob, Catherine Senior Transpose-AMIP Steering committee: Keith Williams (chair), David Williamson, Steve Klein, Christian Jakob, Catherine Senior WGNE - THORPEX-PDP workshop, Zurich, 08/07/10 What is Transpose-AMIP? Basically,

More information

8 Mechanisms for tropical rainfall responses to equatorial

8 Mechanisms for tropical rainfall responses to equatorial 8 Mechanisms for tropical rainfall responses to equatorial heating More reading: 1. Hamouda, M. and Kucharski, F. (2019) Ekman pumping Mechanism driving Precipitation anomalies in Response to Equatorial

More information

2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment

2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment Atmospheric Sciences 6150 Cloud System Modeling 2.1 Effects of a cumulus ensemble upon the large scale temperature and moisture fields by induced subsidence and detrainment Arakawa (1969, 1972), W. Gray

More information

Uncertainties in (energy) budgets

Uncertainties in (energy) budgets Uncertainties in (enery) budets Thanks to Michael Mayer, John M. Edwards, Patrick Hyder, Andrea Storto, Marianne Pietschni, Sebastian Stichelberer, Eric Boisseson, Patrick Laloyaux, Elke Rustemeier, Markus

More information

2 Transport of heat, momentum and potential vorticity

2 Transport of heat, momentum and potential vorticity Transport of heat, momentum and potential vorticity. Conventional mean momentum equation We ll write the inviscid equation of onal motion (we ll here be using log-pressure coordinates with = H ln p=p,

More information

Development of a Tropical Ecological Forecasting Strategy for ENSO Based on the ACME Modeling Framework

Development of a Tropical Ecological Forecasting Strategy for ENSO Based on the ACME Modeling Framework Development of a Tropical Ecological Forecasting Strategy for ENSO Based on the ACME Modeling Framework Forrest M. Hoffman 1,2, Min Xu 1, Nathaniel Collier 1, Chonggang Xu 3, Bradley Christoffersen 3,

More information

Arctic climate projections and progress towards a new CCSM. Marika Holland NCAR

Arctic climate projections and progress towards a new CCSM. Marika Holland NCAR Arctic climate projections and progress towards a new CCSM Marika Holland NCAR The Arctic is changing! Loss of Sept Arctic Sea Ice 2002 Loss of about 8% per decade Or >20% since 1979 (Courtesy I. Rigor

More information

Lecture 7: The Monash Simple Climate

Lecture 7: The Monash Simple Climate Climate of the Ocean Lecture 7: The Monash Simple Climate Model Dr. Claudia Frauen Leibniz Institute for Baltic Sea Research Warnemünde (IOW) claudia.frauen@io-warnemuende.de Outline: Motivation The GREB

More information

Tropical Cyclone Simulations in CAM5: The Impact of the Dynamical Core

Tropical Cyclone Simulations in CAM5: The Impact of the Dynamical Core Tropical Cyclone Simulations in CAM5: The Impact of the Dynamical Core Kevin A. Reed National Center for Atmospheric Research Julio Bacmeister, Cecile Hannay, Peter Lauritzen & John Truesdale NCAR Michael

More information

WaVaCS summerschool Autumn 2009 Cargese, Corsica

WaVaCS summerschool Autumn 2009 Cargese, Corsica Introduction Part I WaVaCS summerschool Autumn 2009 Cargese, Corsica Holger Tost Max Planck Institute for Chemistry, Mainz, Germany Introduction Overview What is a parameterisation and why using it? Fundamentals

More information

How Accurate is the GFDL GCM Radiation Code? David Paynter,

How Accurate is the GFDL GCM Radiation Code? David Paynter, Radiation Processes in the GFDL GCM: How Accurate is the GFDL GCM Radiation Code? David Paynter, Alexandra Jones Dan Schwarzkopf, Stuart Freidenreich and V.Ramaswamy GFDL, Princeton, New Jersey 13th June

More information

SPECIAL PROJECT PROGRESS REPORT

SPECIAL PROJECT PROGRESS REPORT SPECIAL PROJECT PROGRESS REPORT Progress Reports should be 2 to 10 pages in length, depending on importance of the project. All the following mandatory information needs to be provided. Reporting year

More information

PV Generation in the Boundary Layer

PV Generation in the Boundary Layer 1 PV Generation in the Boundary Layer Robert Plant 18th February 2003 (With thanks to S. Belcher) 2 Introduction How does the boundary layer modify the behaviour of weather systems? Often regarded as a

More information

Lecture 3. Background materials. Planetary radiative equilibrium TOA outgoing radiation = TOA incoming radiation Figure 3.1

Lecture 3. Background materials. Planetary radiative equilibrium TOA outgoing radiation = TOA incoming radiation Figure 3.1 Lecture 3. Changes in planetary albedo. Is there a clear signal caused by aerosols and clouds? Outline: 1. Background materials. 2. Papers for class discussion: Palle et al., Changes in Earth s reflectance

More information

Rotating and non-rotating global radiativeconvective

Rotating and non-rotating global radiativeconvective Rotating and non-rotating global radiativeconvective equilibrium in CAM Kevin A. Reed National Center for Atmospheric Research Brian Medeiros, Julio Bacmeister, Peter Lauritzen, John Truesdale, Andrew

More information

AMIP-type horizontal resolution experiments with NorESM. Øyvind Seland, Trond Iversen, Ivar Seierstad

AMIP-type horizontal resolution experiments with NorESM. Øyvind Seland, Trond Iversen, Ivar Seierstad AMWG meeting 10th-12th February 2014 AMIP-type horizontal resolution experiments with NorESM Øyvind Seland, Trond Iversen, Ivar Seierstad Motivation: For given a computer resource, ESMs need to balance

More information

ECMWF Overview. The European Centre for Medium-Range Weather Forecasts is an international. organisation supported by 23 European States.

ECMWF Overview. The European Centre for Medium-Range Weather Forecasts is an international. organisation supported by 23 European States. ECMWF Overview The European Centre for Medium-Range Weather Forecasts is an international organisation supported by 3 European States. The center was established in 1973 by a Convention and the real-time

More information

ATOC 5051 INTRODUCTION TO PHYSICAL OCEANOGRAPHY. Lecture 19. Learning objectives: develop a physical understanding of ocean thermodynamic processes

ATOC 5051 INTRODUCTION TO PHYSICAL OCEANOGRAPHY. Lecture 19. Learning objectives: develop a physical understanding of ocean thermodynamic processes ATOC 5051 INTRODUCTION TO PHYSICAL OCEANOGRAPHY Lecture 19 Learning objectives: develop a physical understanding of ocean thermodynamic processes 1. Ocean surface heat fluxes; 2. Mixed layer temperature

More information

ESCI 485 Air/Sea Interaction Lesson 1 Stresses and Fluxes Dr. DeCaria

ESCI 485 Air/Sea Interaction Lesson 1 Stresses and Fluxes Dr. DeCaria ESCI 485 Air/Sea Interaction Lesson 1 Stresses and Fluxes Dr DeCaria References: An Introduction to Dynamic Meteorology, Holton MOMENTUM EQUATIONS The momentum equations governing the ocean or atmosphere

More information

Quarter degree resolution ocean component of the Norwegian Earth System Model

Quarter degree resolution ocean component of the Norwegian Earth System Model Quarter degree resolution ocean component of the Norwegian Earth System Model Mats Bentsen 1,2, Mehmet Ilicak 1,2, and Helge Drange 3,2 1 Uni, Uni Research Ltd 2 Bjerknes Centre for Research 3 Geophysical

More information

Multi-century climate integrations at NOC

Multi-century climate integrations at NOC Multi-century climate integrations at NOC Alex Megann, Adam Blaker and Adrian New Marine Systems Modelling National Oceanography Centre, Southampton, UK LOM, Ann Arbor, May 2013 Multi-century climate integrations

More information

Course , General Circulation of the Earth's Atmosphere Prof. Peter Stone Section 4: Water Vapor Budget

Course , General Circulation of the Earth's Atmosphere Prof. Peter Stone Section 4: Water Vapor Budget Course 12.812, General Circulation of the Earth's Atmosphere Prof. Peter Stone Section 4: Water Vapor Budget Water Vapor Distribution First let us look at the distribution of specific humidity, q. The

More information

Energetic and precipitation responses in the Sahel to sea surface temperature perturbations

Energetic and precipitation responses in the Sahel to sea surface temperature perturbations Energetic and precipitation responses in the Sahel to sea surface temperature perturbations Spencer A. Hill Yi Ming, Isaac Held, Leo Donner, Ming Zhao Motivations Severe uncertainty in rainfall response

More information

Taking into account the gustiness due to free and deep convection for the representation of air-sea fluxes. - in the LMDZ model -

Taking into account the gustiness due to free and deep convection for the representation of air-sea fluxes. - in the LMDZ model - Taking into account the gustiness due to free and deep convection for the representation of air-sea fluxes - in the LMDZ model - Alina Găinuşă-Bogdan, Frédéric Hourdin, Abdoul Traore, Catherine Rio, Jean-Yves

More information

2 Equations of Motion

2 Equations of Motion 2 Equations of Motion system. In this section, we will derive the six full equations of motion in a non-rotating, Cartesian coordinate 2.1 Six equations of motion (non-rotating, Cartesian coordinates)

More information

Changes in Density Within An Air are Density Velocity Column Fixed due and/or With Respect to to Advection Divergence the Earth

Changes in Density Within An Air are Density Velocity Column Fixed due and/or With Respect to to Advection Divergence the Earth The Continuity Equation: Dines Compensation and the Pressure Tendency Equation 1. General The Continuity Equation is a restatement of the principle of Conservation of Mass applied to the atmosphere. The

More information

Carbon Exchanges between the Continental Margins and the Open Ocean

Carbon Exchanges between the Continental Margins and the Open Ocean Carbon Exchanges between the Continental Margins and the Open Ocean Outline: 1. Introduction to problem 2. Example of how circulation can export carbon to open ocean 3. Example of how particle transport

More information

Impact of sea surface temperatures on African climate. Alessandra Giannini

Impact of sea surface temperatures on African climate. Alessandra Giannini Impact of sea surface temperatures on African climate Alessandra Giannini alesall@iri.columbia.edu Outline: Intro/Motivation: demand-driven science, use of seasonal climate prediction, adaptation to climate

More information

Sea Ice Update. Marika Holland and David Bailey. National Center for Atmospheric Research. CESM Workshop. University of Toronto

Sea Ice Update. Marika Holland and David Bailey. National Center for Atmospheric Research. CESM Workshop. University of Toronto Sea Ice Update Marika Holland and David Bailey National Center for Atmospheric Research CESM Workshop University of Toronto November June 2017 2012 NCAR is sponsored by the National Science Foundation

More information

! An Update on CAM-CLUBB Coupled Simulations

! An Update on CAM-CLUBB Coupled Simulations ! An Update on CAM- Coupled Simulations! Peter Bogenschutz, Andrew Gettelman, Vincent Larson, Cheryl Craig, Hugh Morrison, Jack Chen, Katherine Thayer- Calder, Sean Santos, David Schannen, and Rachel Storer

More information

Hydrodynamic conservation laws and turbulent friction in atmospheric circulation models

Hydrodynamic conservation laws and turbulent friction in atmospheric circulation models Hydrodynamic conservation laws and turbulent friction in atmospheric circulation models Erich Becker Leibniz-Institute of Atmospheric Physics, Kühlungsborn, Germany Including contributions from Ulrike

More information

Parcel Model. Atmospheric Sciences September 30, 2012

Parcel Model. Atmospheric Sciences September 30, 2012 Parcel Model Atmospheric Sciences 6150 September 30, 2012 1 Governing Equations for Precipitating Convection For precipitating convection, we have the following set of equations for potential temperature,

More information

Quasi-equilibrium Theory of Small Perturbations to Radiative- Convective Equilibrium States

Quasi-equilibrium Theory of Small Perturbations to Radiative- Convective Equilibrium States Quasi-equilibrium Theory of Small Perturbations to Radiative- Convective Equilibrium States See CalTech 2005 paper on course web site Free troposphere assumed to have moist adiabatic lapse rate (s* does

More information

Correspondence between short and long timescale systematic errors in CAM4/CAM5 explored by YOTC data

Correspondence between short and long timescale systematic errors in CAM4/CAM5 explored by YOTC data Correspondence between short and long timescale systematic errors in CAM4/CAM5 explored by YOTC data Hsi-Yen Ma In collaboration with Shaocheng Xie, James Boyle, Stephen Klein, and Yuying Zhang Program

More information

The ECMWF prototype for coupled reanalysis. Patrick Laloyaux

The ECMWF prototype for coupled reanalysis. Patrick Laloyaux The ECMWF prototype for coupled reanalysis Patrick Laloyaux ECMWF July 10, 2015 Outline Current status and future plans for ECMWF operational reanalyses Extended climate reanalyses Coupled atmosphere-ocean

More information

On assessing temporal variability and trends of coupled arctic energy budgets. Michael Mayer Leo Haimberger

On assessing temporal variability and trends of coupled arctic energy budgets. Michael Mayer Leo Haimberger On assessing temporal variability and trends of coupled arctic energy budgets Michael Mayer Leo Haimberger Motivation and outline Arctic climate system is subject to rapid changes and large interannual

More information

Sensitivity to the CAM candidate schemes in climate and forecast runs along the Pacific Cross-section

Sensitivity to the CAM candidate schemes in climate and forecast runs along the Pacific Cross-section Sensitivity to the CAM candidate schemes in climate and forecast runs along the Pacific Cross-section Cécile Hannay, Dave Williamson, Jerry Olson, Jim Hack, Jeff Kiehl, Richard Neale and Chris Bretherton*

More information

1" 2" 3" 4" 5" 6" 7" 8" 9" 10" 11" 12" 13" 14" 15" 16" 17" 18" 19" 20" 21" 22" 23" 24" 25" 26" 27" 28" 29" 30" 31" 32" 33" 34" 35"

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 " " 3" " 5" 6" 7" 8" 9" " " " 3" " 5" 6" 7" 8" 9" " " " 3" " 5" 6" 7" 8" 9" 3" 3" 3" 33" 3" 35" Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP) Supplemental Online

More information

Supporting Information for Relation of the double-itcz bias to the atmospheric energy budget in climate models

Supporting Information for Relation of the double-itcz bias to the atmospheric energy budget in climate models GEOPHYSICAL RESEARCH LETTERS Supporting Information for Relation of the double-itcz bias to the atmospheric energy budget in climate models Ori Adam 1, Tapio Schneider 1,2, Florent Brient 1, and Tobias

More information

CESM1-WACCM: Comparison with CCSM4/ CESM CMIP5 simulations

CESM1-WACCM: Comparison with CCSM4/ CESM CMIP5 simulations CESM1-WACCM: Comparison with CCSM4/ CESM CMIP5 simulations Dan Marsh, Mike Mills, Natalia Calvo, Marika Holland, Cécile Hannay WAWG meeting, Boulder, February 2011 NCAR is sponsored by the National Science

More information

Stable Water Isotopes in the Atmosphere

Stable Water Isotopes in the Atmosphere Stable Water Isotopes in the Atmosphere Jonathon S. Wright jswright@tsinghua.edu.cn Overview 1. Stable water isotopes (SWI) illustrate the tightly coupled nature of the earth system, and are useful tools

More information

Moist static energy budget diagnostics for. monsoon research. H. Annamalai

Moist static energy budget diagnostics for. monsoon research. H. Annamalai Moist static energy budget diagnostics for monsoon research H. Annamalai JJAS Precipitation and SST Climatology I III II Multiple regional heat sources - EIO and SPCZ still experience high precipitation

More information

ATMOS 5140 Lecture 1 Chapter 1

ATMOS 5140 Lecture 1 Chapter 1 ATMOS 5140 Lecture 1 Chapter 1 Atmospheric Radiation Relevance for Weather and Climate Solar Radiation Thermal Infrared Radiation Global Heat Engine Components of the Earth s Energy Budget Relevance for

More information

Radiative contribution to the North-American cold air outbreaks in a Lagrangian perspective

Radiative contribution to the North-American cold air outbreaks in a Lagrangian perspective Radiative contribution to the North-American cold air outbreaks in a Lagrangian perspective Natalia Bliankinshtein, Y. Huang, J. R. Gyakum and E. Atallah Department of Atmospheric and Oceanic Sciences

More information

Climatology, Variability and Change In Arctic Surface-Based Inversions

Climatology, Variability and Change In Arctic Surface-Based Inversions Climatology, Variability and Change In Arctic Surface-Based Inversions Dian J. Seidel NOAA Air Resources Laboratory Yehui (Ally) Zhang Applied Hydrometeorological Research Institute Nanjing University

More information

Parcel Model. Meteorology September 3, 2008

Parcel Model. Meteorology September 3, 2008 Parcel Model Meteorology 5210 September 3, 2008 1 Governing Equations for Precipitating Convection For precipitating convection, we have the following set of equations for potential temperature, θ, mixing

More information

Water Vapor and the Dynamics of Climate Changes

Water Vapor and the Dynamics of Climate Changes Water Vapor and the Dynamics of Climate Changes Tapio Schneider California Institute of Technology (based on Rev. Geophys. article with Xavier Levine and Paul O Gorman) Water vapor dynamics in warming

More information

Arctic Boundary Layer

Arctic Boundary Layer Annual Seminar 2015 Physical processes in present and future large-scale models Arctic Boundary Layer Gunilla Svensson Department of Meteorology and Bolin Centre for Climate Research Stockholm University,

More information

ρ x + fv f 'w + F x ρ y fu + F y Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ Dv Dt + u2 tanφ + vw a a = 1 p Dw Dt u2 + v 2

ρ x + fv f 'w + F x ρ y fu + F y Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ Dv Dt + u2 tanφ + vw a a = 1 p Dw Dt u2 + v 2 Fundamental Equation in z coordinate p = ρrt or pα = RT Du uv tanφ + uw Dt a a = 1 p ρ x + fv f 'w + F x Dv Dt + u2 tanφ + vw a a = 1 p ρ y fu + F y Dw Dt u2 + v 2 = 1 p a ρ z g + f 'u + F z Dρ Dt + ρ

More information

Recent Walker circulation strengthening and Pacific cooling amplified by Atlantic warming

Recent Walker circulation strengthening and Pacific cooling amplified by Atlantic warming SUPPLEMENTARY INFORMATION DOI: 1.18/NCLIMATE2 Recent Walker circulation strengthening and Pacific cooling amplified by Atlantic warming Shayne McGregor, Axel Timmermann, Malte F. Stuecker, Matthew H. England,

More information

Radiative-Convective Instability. Kerry Emanuel Massachusetts Institute of Technology

Radiative-Convective Instability. Kerry Emanuel Massachusetts Institute of Technology Radiative-Convective Instability Kerry Emanuel Massachusetts Institute of Technology Program Basic radiative-convective equilibrium Macro-instability of the RC state Some consequences Radiative Equilibrium

More information

Our Climate without Antarctica

Our Climate without Antarctica Our Climate without Antarctica Cecilia Bitz, Hansi Singh, Dargan Frierson University of Washington Andrew Pauling, Inga Smith, & Pat Langhorne University of Otago Photo by John Weller Ice Shelf Cavity

More information

CLIMES. Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models

CLIMES. Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models 1 Introduction Observations of scaling Log-linear (~ -5/3) decrease in cloud number concentration

More information

Climate Dynamics (PCC 587): Hydrologic Cycle and Global Warming

Climate Dynamics (PCC 587): Hydrologic Cycle and Global Warming Climate Dynamics (PCC 587): Hydrologic Cycle and Global Warming D A R G A N M. W. F R I E R S O N U N I V E R S I T Y O F W A S H I N G T O N, D E P A R T M E N T O F A T M O S P H E R I C S C I E N C

More information

On the use of the moist entropy in parameterizations of the turbulence.

On the use of the moist entropy in parameterizations of the turbulence. AMA-2012 - Toulouse, 23 janvier 2012 Visit of Sergei Zilitinkevich (April 2012) On the use of the moist entropy in parameterizations of the turbulence. Pascal MARQUET (Météo-France. DPrévi / LABO) Jean-François

More information

Twentieth-Century Sea Surface Temperature Trends M.A. Cane, et al., Science 275, pp (1997) Jason P. Criscio GEOS Apr 2006

Twentieth-Century Sea Surface Temperature Trends M.A. Cane, et al., Science 275, pp (1997) Jason P. Criscio GEOS Apr 2006 Twentieth-Century Sea Surface Temperature Trends M.A. Cane, et al., Science 275, pp. 957-960 (1997) Jason P. Criscio GEOS 513 12 Apr 2006 Questions 1. What is the proposed mechanism by which a uniform

More information

How good are our models?

How good are our models? direct Estimates of regional and global forcing: ^ How good are our models? Bill Collins with Andrew Conley, David Fillmore, and Phil Rasch National Center for Atmospheric Research Boulder, Colorado Models

More information

An Introduction to Climate Modeling

An Introduction to Climate Modeling An Introduction to Climate Modeling A. Gettelman & J. J. Hack National Center for Atmospheric Research Boulder, Colorado USA Outline What is Climate & why do we care Hierarchy of atmospheric modeling strategies

More information

Results from CAM-SE AMIP and coupled simulations

Results from CAM-SE AMIP and coupled simulations Results from CAM-SE AMIP and coupled simulations Cécile Hannay (AMP) Rich Neale, Peter Lauritzen, Mark Taylor, Julio Bacmeister, Joe Tribbia, Sungsu Park, Andy Mai, Gokhan Danabasoglu, and many others.

More information

Oceanic Eddies in the VOCALS Region of the Southeast Pacific Ocean

Oceanic Eddies in the VOCALS Region of the Southeast Pacific Ocean Oceanic Eddies in the VOCALS Region of the Southeast Pacific Ocean Outline: Overview of VOCALS Dudley B. Chelton Oregon State University Overview of the oceanographic component of VOCALS Preliminary analysis

More information

Some remarks on climate modeling

Some remarks on climate modeling Some remarks on climate modeling A. Gettelman & J. J. Hack National Center for Atmospheric Research Boulder, Colorado USA Selected overheads by Doug Nychka Outline Hierarchy of atmospheric modeling strategies

More information

1. Header Land-Atmosphere Predictability Using a Multi-Model Strategy Paul A. Dirmeyer (PI) Zhichang Guo (Co-I) Final Report

1. Header Land-Atmosphere Predictability Using a Multi-Model Strategy Paul A. Dirmeyer (PI) Zhichang Guo (Co-I) Final Report 1. Header Land-Atmosphere Predictability Using a Multi-Model Strategy Paul A. Dirmeyer (PI) Zhichang Guo (Co-I) Final Report 2. Results and Accomplishments Output from multiple land surface schemes (LSS)

More information

Daniel J. Jacob, Models of Atmospheric Transport and Chemistry, 2007.

Daniel J. Jacob, Models of Atmospheric Transport and Chemistry, 2007. 1 0. CHEMICAL TRACER MODELS: AN INTRODUCTION Concentrations of chemicals in the atmosphere are affected by four general types of processes: transport, chemistry, emissions, and deposition. 3-D numerical

More information

Linkages between Arctic sea ice loss and midlatitude

Linkages between Arctic sea ice loss and midlatitude Linkages between Arctic sea ice loss and midlatitude weather patterns Response of the wintertime atmospheric circulation to current and projected Arctic sea ice decline Gudrun Magnusdottir and Yannick

More information

Understanding the regional pattern of projected future changes in extreme precipitation

Understanding the regional pattern of projected future changes in extreme precipitation In the format provided by the authors and unedited. Understanding the regional pattern of projected future changes in extreme precipitation S. Pfahl 1 *,P.A.O Gorman 2 and E. M. Fischer 1 Changes in extreme

More information

WATER VAPOR FLUXES OVER EQUATORIAL CENTRAL AFRICA

WATER VAPOR FLUXES OVER EQUATORIAL CENTRAL AFRICA WATER VAPOR FLUXES OVER EQUATORIAL CENTRAL AFRICA INTRODUCTION A good understanding of the causes of climate variability depend, to the large extend, on the precise knowledge of the functioning of the

More information

Adrian Simmons & Re-analysis by David Burridge (pay-back time!) Credits: Dick Dee, Hans Hersbach,Adrian and a cast of thousands

Adrian Simmons & Re-analysis by David Burridge (pay-back time!) Credits: Dick Dee, Hans Hersbach,Adrian and a cast of thousands Adrian Simmons & Re-analysis by David Burridge (pay-back time!) Credits: Dick Dee, Hans Hersbach,Adrian and a cast of thousands A brief history of atmospheric reanalysis productions at ECMWF 1990 2000

More information

Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section

Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section Cécile Hannay, Dave Williamson, Rich Neale, Jerry Olson, Dennis Shea National Center for Atmospheric

More information

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110, D15S16, doi: /2004jd005109, 2005

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110, D15S16, doi: /2004jd005109, 2005 JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110,, doi:10.1029/2004jd005109, 2005 Moisture and temperature balances at the Atmospheric Radiation Measurement Southern Great Plains Site in forecasts with the Community

More information

2 nd CCliCS Workshop, April 1 3, 2013, Taipei, Taiwan

2 nd CCliCS Workshop, April 1 3, 2013, Taipei, Taiwan 2 nd CCliCS Workshop, April 1 3, 2013, Taipei, Taiwan LLNL-PRES-605075 This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract

More information

An integrated speleothem proxy and climate modeling study of the last deglacial climate in the Pacific Northwest

An integrated speleothem proxy and climate modeling study of the last deglacial climate in the Pacific Northwest An integrated speleothem proxy and climate modeling study of the last deglacial climate in the Pacific Northwest Jerry Potter UC Davis, University of Michigan, NASA GSFC Isabel Montanez, University of

More information

Extratropical and Polar Cloud Systems

Extratropical and Polar Cloud Systems Extratropical and Polar Cloud Systems Gunilla Svensson Department of Meteorology & Bolin Centre for Climate Research George Tselioudis Extratropical and Polar Cloud Systems Lecture 1 Extratropical cyclones

More information

Polar WRF. Polar Meteorology Group Byrd Polar and Climate Research Center The Ohio State University Columbus Ohio

Polar WRF. Polar Meteorology Group Byrd Polar and Climate Research Center The Ohio State University Columbus Ohio Polar WRF David H. Bromwich, Keith M. Hines, Lesheng Bai and Sheng-Hung Wang Polar Meteorology Group Byrd Polar and Climate Research Center The Ohio State University Columbus Ohio Byrd Polar and Climate

More information

Modeling the Arctic Climate System

Modeling the Arctic Climate System Modeling the Arctic Climate System General model types Single-column models: Processes in a single column Land Surface Models (LSMs): Interactions between the land surface, atmosphere and underlying surface

More information

Turbulent fluxes. Sensible heat flux. Momentum flux = Wind stress ρc D (U-U s ) 2. Latent heat flux. ρc p C H (U-U s ) (T s -T a )

Turbulent fluxes. Sensible heat flux. Momentum flux = Wind stress ρc D (U-U s ) 2. Latent heat flux. ρc p C H (U-U s ) (T s -T a ) Intertropical ocean-atmosphere coupling in a state of the art Earth System Model: Evaluating the representation of turbulent air-sea fluxes in IPSL-CM5A Alina Găinuşă-Bogdan, Pascale Braconnot Laboratoire

More information

Recent trends in energy flows through the Arctic climate system. Michael Mayer Leo Haimberger

Recent trends in energy flows through the Arctic climate system. Michael Mayer Leo Haimberger Recent trends in energy flows through the Arctic climate system Michael Mayer Leo Haimberger Motivation and outline Arctic climate system is subject to rapid changes and large interannual variability How

More information

An Introduction to Physical Parameterization Techniques Used in Atmospheric Models

An Introduction to Physical Parameterization Techniques Used in Atmospheric Models An Introduction to Physical Parameterization Techniques Used in Atmospheric Models J. J. Hack National Center for Atmospheric Research Boulder, Colorado USA Outline Frame broader scientific problem Hierarchy

More information

Xianglei Huang University of Michigan Xiuhong Chen & Mark Flanner (Univ. of Michigan), Ping Yang (Texas A&M), Dan Feldman and Chiancy Kuo (LBL, DoE)

Xianglei Huang University of Michigan Xiuhong Chen & Mark Flanner (Univ. of Michigan), Ping Yang (Texas A&M), Dan Feldman and Chiancy Kuo (LBL, DoE) Incorporating realistic surface LW spectral emissivity into the CESM Model: Impact on simulated climate and the potential sea-ice emissivity feedback mechanism Xianglei Huang University of Michigan Xiuhong

More information

Interannual variability of top-ofatmosphere. CERES instruments

Interannual variability of top-ofatmosphere. CERES instruments Interannual variability of top-ofatmosphere albedo observed by CERES instruments Seiji Kato NASA Langley Research Center Hampton, VA SORCE Science team meeting, Sedona, Arizona, Sep. 13-16, 2011 TOA irradiance

More information

J. Fasullo, R.S. Nerem, and B. Hamlington NCAR / University of Colorado. Fasullo: Is Detection of Accelerated Sea Level Rise Imminent?

J. Fasullo, R.S. Nerem, and B. Hamlington NCAR / University of Colorado. Fasullo: Is Detection of Accelerated Sea Level Rise Imminent? Is the Detection of Accelerated Sea Level Rise Imminent? J. Fasullo, R.S. Nerem, and B. Hamlington NCAR / University of Colorado Fasullo: Is Detection of Accelerated Sea Level Rise Imminent? Climate Variability

More information

Evaluation of the IPSL climate model in a weather-forecast mode

Evaluation of the IPSL climate model in a weather-forecast mode Evaluation of the IPSL climate model in a weather-forecast mode CFMIP/GCSS/EUCLIPSE Meeting, The Met Office, Exeter 2011 Solange Fermepin, Sandrine Bony and Laurent Fairhead Introduction Transpose AMIP

More information