On the instantaneous linkages between cloud vertical structure and large-scale climate Ying Li Colorado State University.

Slides:

Advertisements

Similar presentations

SO441 Synoptic Meteorology Extratropical cyclones Visible satellite image 26 Oct Low pressure mb. Image courtesy NASA Cloud pattern typically.

Advertisements

23 rd ECRS The stratospheric polar vortex as a cause for the temporal variability of solar activity and galactic cosmic ray effects on the lower atmosphere.

P Cold Front: cold air behind front (often to NW) abrupt cooling as it passes Warm Front:warm air behind front (often to S) more gradual warming.

Aerosol-Precipitation Responses Deduced from Ship Tracks as Observed by CloudSat Matthew W. Christensen 1 and Graeme L. Stephens 2 Department of Atmospheric.

Climate change in the Antarctic. Turner et al, Significant warming of the Antarctic Winter Troposphere. Science, vol 311, pp Radiosonde.

Requirements for monitoring the global tropopause Bill Randel Atmospheric Chemistry Division NCAR.

Niels Woetmann Nielsen Danish Meteorological Institute

Midlatitude Cyclones Equator-to-pole temperature gradient tilts pressure surfaces and produces westerly jets in midlatitudes Waves in the jet induce divergence.

 The main focus is investigating the dynamics resulting in synoptically forced training convective rainfall  Synoptic conditions necessary for the generation.

Tropical Convection: A Product of Convergence. But What Drives Convergence?  ONE THEORY: CISK  Conditional Instability of the Second Kind  A Positive.

Kari Murray.  This article is extending on a 10-year climatological study done by Rose et al.  Rose et al. found that tornadoes most commonly occur.

ATM S 542 Synoptic Meteorology Overview Gregory J. Hakim University of Washington, Seattle, USA Vertical structure of the.

Fronts and Mid-latitude Cyclones

Extratropical Synoptic-Scale Processes and Severe Convection John Monteverdi Doswell, C.A. III, and L.F. Bosart, 2001: Extratropical synoptic-scale processes.

Mesoscale Convective Systems Robert Houze Department of Atmospheric Sciences University of Washington Nebraska Kansas Oklahoma Arkansas.

Influence of the Brewer-Dobson Circulation on the Middle/Upper Tropospheric O 3 Abstract Lower Stratosphere Observations Models

© Crown copyright Met Office Using stability composites to analyse cloud feedbacks in the CMIP3/CFMIP-1 slab models. Mark Webb (Met Office) CFMIP-GCSS.

Chapter 10 – Midlatitude Cyclones. The Origin of the Theory of Midlatitude Cyclones The polar front theory (Norwegian cyclone model) – description of.

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

Cyclone composites in the real world and ACCESS Pallavi Govekar, Christian Jakob, Michael Reeder and Jennifer Catto.

Jae-Heung Park, Soon-Il An. 1.Introduction 2.Data 3.Result 4. Discussion 5. Summary.

ATS/ESS 452: Synoptic Meteorology Friday 09/26/2014 Continue Review Material Geopotential Thickness Thermal Wind.

AOSS 401, Fall 2006 Lecture 19 October 26, 2007 Richard B. Rood (Room 2525, SRB) Derek Posselt (Room 2517D, SRB)

Using GPS data to study the tropical tropopause Bill Randel National Center for Atmospheric Research Boulder, Colorado “You can observe a lot by just watching”

Formation of the Extratropical Cyclone (Cyclogenesis)

MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

June, 2003EUMETSAT GRAS SAF 2nd User Workshop. 2 The EPS/METOP Satellite.

The Atmosphere and is its importance to the Earth.

C20C Workshop, ICTP Trieste 2004 The impact of stratospheric ozone depletion and CO 2 on tropical cyclone behaviour in the Australian region Syktus J.

Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio.

Advanced SynopticM. D. Eastin QG Analysis: Low-Level Systems Will these Surface Lows Intensify or Weaken? Where will they Move?

ATS/ESS 452: Synoptic Meteorology

Update on stratocumulus simulations by the UCLA AGCM C. R. Mechoso, I. Richter, G. Cazes, and R. Terra University of California, Los Angeles OUTLINE 1.Sensitivity.

How to make a (weather) “bomb” Tim Baker Thanks to: Doug Parker, Peter Knippertz, Alan Blyth.

Stratosphere-Troposphere Analyses of Regional Transport (START) Experiment Investigators: Laura Pan (PI) Andy Weinheimer (Integration and Payload) Rushan.

Northwest European High Summer Climate Variability, the West African Monsoon and the Summer North Atlantic Oscillation Jim Hurrell, NCAR, & Chris Folland,

Observed & Simulated Profiles of Cloud Occurrence by Atmospheric State A Comparison of Observed Profiles of Cloud Occurrence with Multiscale Modeling Framework.

ATM OCN 100 Summer ATM OCN Summer 2002 EXAM 3 REVIEW: minute EXAM IS CUMULATIVE, BUT MORE WEIGHT TO RECENT 2 WEEKS EXAM STRUCTURE –Completion.

Inertia-Gravity waves and their role in mixing Geraint Vaughan University of Manchester, UK.

Observed Recent Changes in the Tropopause Dian Seidel NOAA Air Resources Laboratory ~ Silver Spring, Maryland USA Bill Randel NCAR Atmospheric Chemistry.

1. The atmosphere 2 © Zanichelli editore 2015 Characteristics of the atmosphere 3 © Zanichelli editore 2015.

Chapter 9: Mid-Latitude Cyclones. Introduction mid-latitude cyclones  produce winds as strong as some hurricanes but different mechanisms contain well.

Transport of Air from the Tropical Upper Troposphere into the Extratropical Lower Stratosphere Kenneth Bowman, Cameron Homeyer, Dalon Stone - Texas A&M.

Cloud Top Heights of Cumulonimbi, Thermodynamically Estimated from Objective Analysis Data during the Baiu Season Teruyuki KATO （ Meteorological Research.

Potential vorticity and the invertibility principle (pp ) To a first approximation, the atmospheric structure may be regarded as a superposition.

Description of the IRI Experimental Seasonal Typhoon Activity Forecasts Suzana J. Camargo, Anthony G. Barnston and Stephen E.Zebiak.

Jennifer Catto Supervisors: Len Shaffrey and Kevin Hodges Extra-tropical cyclones and Storm Tracks.

On polarimetric characteristics of mesoscale cellular convection in the marine atmospheric boundary layer Haiyan Li, William Perrie, Lanli Guo ， Biao Zhang.

ThermodynamicsM. D. Eastin We need to understand the environment around a moist air parcel in order to determine whether it will rise or sink through the.

PV Thinking and the Dynamic Tropopause

Revisiting the 26.5°C Sea Surface Temperature Threshold for Tropical Cyclone Development McTaggart-Cowan et al. (2015) Revisiting the 26.5°C Sea Surface.

The “Perfect Storms” of 1991:

ATM S 542 Synoptic Meteorology Overview

Description of the climate system and of its components

Static Stability in the Global UTLS Observations of Long-term Mean Structure and Variability using GPS Radio Occultation Data Kevin M. Grise David W.

McTaggart-Cowan et al. (2015)

What are the causes of GCM biases in cloud, aerosol, and radiative properties over the Southern Ocean? How can the representation of different processes.

Double tropopauses during idealized baroclinic life cycles

Upper air Meteorological charts

Earth’s Atmosphere.

Lower Tropospheric Frontogenesis

Extratropical stratoshere-troposphere exchange in a 20-km-mesh AGCM

The Course of Synoptic Meteorology

ExUTLS dynamics and global observations

Cloud fraction and Ice Water Content in Various Weather Regimes

Water Vapour Imagery and

The Course of Synoptic Meteorology

The Course of Synoptic Meteorology

Presentation transcript:

On the instantaneous linkages between cloud vertical structure and large-scale climate Ying Li Colorado State University

Merged CALIPSO/CloudSat data (2B-GEOPROF-LIDAR product; June 2006–April 2011) cloud incidence is derived from cloud fraction e.g., 25% indicates a cloud is observed 25% of the time within the sample volume Meteorological fields obtained from 1) Collocated CloudSat ECMWF-AUX auxiliary data product – instantaneous relationships ( ∼ 10 8 profile measurements) 2) ERA-Interim reanalysis – in some selected cases – month-to-month variability ( ∼ 10 5 monthly-mean profile measurements) Data:

A range of large-scale meteorological parameter 1. sea surface temperature (SST) 2. lower tropospheric stability (LTS; θ 3km − θ surface ) 3. mid-tropospheric vertical motion ( −ω 500 ) 4. storm track activity ： RMS ( ω ’ 500 ) 5. tropopause temperature (TT) 6. upper tropospheric stability (UTS; θ tropopause − θ tropopause − 3km )

From Li and Thompson (JGR, 2013) The role of stratospheric wave driving in linking the TT and UTS, and space/time distribution of upper tropospheric cloud incidence Cold tropopause Weak static stability Lift of tropopause Increased cloud incidence

A range of large-scale meteorological parameter 1. sea surface temperature (SST) 2. lower tropospheric stability (LTS; θ 3km − θ surface ) 3. mid-tropospheric vertical motion ( −ω 500 ) 4. RMS ( ω ’ 500 ) and dT/dy in the storm track region 5. tropopause temperature (TT) 6. upper tropospheric stability (UTS; θ tropopause − θ tropopause − 3km )

Peak at 303 K Minimum K Maximum below 285 K Increase with decreasing SST e.g., Klein and Hartmann 1993; Wood and Bretherton, 2006 Shallow maximum 272 – 278 K Mid/high lat. regime Vertical structure of cloud incidence as a function of SST over the Global Ocean

SST between 272 – 286K

A range of large-scale meteorological parameter 1. sea surface temperature (SST) 2. lower tropospheric stability (LTS; θ 3km − θ surface ) 3. mid-tropospheric vertical motion ( −ω 500 ) 4. RMS ( ω ’ 500 ) and dT/dy in the storm track region 5. tropopause temperature (TT) 6. upper tropospheric stability (UTS; θ tropopause − θ tropopause − 3km )

Influences of lower tropospheric stability Maximum at high LTS e.g., stratocumulus clouds Maximum at low LTS e.g., stratus associated with extratropical synoptic storms) Dual maxima: different types of clouds throughout the mid/high latitude Height (km)

A range of large-scale meteorological parameter 1. sea surface temperature (SST) 2. lower tropospheric stability (LTS; θ 3km − θ surface ) 3. mid-tropospheric vertical motion ( −ω 500 ) 4. RMS ( ω ’ 500 ) and dT/dy in the storm track region 5. tropopause temperature (TT) 6. upper tropospheric stability (UTS; θ tropopause − θ tropopause − 3km )

Influences of mid-tropospheric vertical motion Increases as w 1% per 10 hPa d -1 High-top clouds tends to occur in regions of rising motion/low pressure Low-top clouds tends to occur in regions of sinking motion/high pressure Bimodal vertical distribution is due to: Passage of the cloud frontal system (low-level clouds behind the cold frons are associated with upper-level clouds ahead of the cold front) Superpostion of alternating cyclonic and anticyclonic weather systems Height (km)

Vertical structure of the linkages between anomalous cloud incidence and vertical motion over the extratropical ocean (30-90S/N) Regions of anomalously upward motion are associated with anomalous high cloud incidence ~3% per 10 hPa d -1 Height (km)

A range of large-scale meteorological parameter 1. sea surface temperature (SST) 2. lower tropospheric stability (LTS; θ 3km − θ surface ) 3. mid-tropospheric vertical motion ( −ω 500 ) 4. RMS ( ω ’ 500 ) and dT/dy in the storm track region 5. tropopause temperature (TT) 6. upper tropospheric stability (UTS; θ tropopause − θ tropopause − 3km )

Cloud incidence in the combined four storm track regions Peak at jet stream level & Increases with increasing storm track amplitude e.g., nimbostratus, deep convective clouds Low level clouds decease with increasing storm track amplitude

A range of large-scale meteorological parameter 1. sea surface temperature (SST) 2. lower tropospheric stability (LTS; θ 3km − θ surface ) 3. mid-tropospheric vertical motion ( −ω 500 ) 4. RMS ( ω ’ 500 ) and dT/dy in the storm track region 5. tropopause temperature (TT) 6. upper tropospheric stability (UTS; θ tropopause − θ tropopause − 3km )

Increases as TT decreases (1.5-2% K -1 ) Increases as UTS decreases ~8% per K km -1 ) Influences of tropopause temperature (TT) and upper tropospheric stability (UTS)

Vertical structure of the linkages between anomalous cloud incidence and static stability over the extratropical ocean (30-90S/N) Regions of anomalously low static stability are associated with anomalous high cloud incidence ~2% per K km -1

Summary The results in study provide a baseline for evaluating physical parameterizations of clods in GCM serve as a reference for interpreting the signature of large-scale atmospheric phenomena in cloud vertical structure Li, et al (GRL, 2014)