Philippe Keckhut, Chantal Claud, Bill Randel Upper stratospheric trends.

Slides:



Advertisements
Similar presentations
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
Advertisements

Network for the Detection of Atmospheric Composition Change: Tracking Changes in the Earths Atmosphere Michael J. Kurylo, Geir O. Braathen, and Niels Larsen.
WMO/UNEP 7th ORM, Geneva May French contribution to ozone research and monitoring S. Godin-Beekmann Service dAéronomie – IPSL, CNRS, Paris,
Performance of Hedges & Long Futures Positions in CBOT Corn Goodland, Kansas March 2, 2009 Daniel OBrien, Extension Ag Economist K-State Research and Extension.
1 Eloise E. Kaizar The Ohio State University Combining Information From Randomized and Observational Data: A Simulation Study June 5, 2008 Joel Greenhouse.
Rossana Dragani Using and evaluating PROMOTE services at ECMWF PROMOTE User Meeting Nice, 16 March 2009.
1 The GEMS production systems and retrospective reanalysis Adrian Simmons.
ECMWF Training Course 2009 – NWP-PR
How Much Has the Atmospheric Temperature Really Changed? An Attempt to Resolve the Satellite Dataset Controversy. John Lanzante (GFDL) Carl Mears (RSS)
Rocketsondes/lidars by P. Keckhut et al. Talk given by Chantal CLAUD, LMD, Palaiseau, France + some other considerations ( EUROSPICE, SOLICE projects )
Long-Term Stratospheric Temperature Time Series for SPARC Temperature Trends Assessment Paper Dian Seidel April 2007 Tabard Inn, Washington DC.
The following plots show a comparison of the temperature seasonal cycle between SSU data and vertically integrated lidar and HALOE satellite data. The.
Unresolved issues for the observations paper 1.CO 2 effects on SSU channels (details; how does this work for the off-nadir x-channels?) 2. Weighting functions.
Simulated Stratospheric Temperature Trends SPARC Temperature Trends Meeting: April 13, 2007 Washington DC.
Stratospheric Temperature Time Series 1979 to 2004 Using SSU and AMSU Data from the Operational NOAA Polar Orbiting Satellites A.J. Miller, J. Nash, R.
Reconciling trends from radiosondes and satellites (MSU4 and SSU15x) Data: LKS radiosondes (87 stations), updated to 2004 using IGRA data MSU4 and SSU15x.
(Very) Preliminary Quality Assessment of Stratospheric AMSU Channels (Channels 9 – 14) Carl Mears Remote Sensing Systems.
Observation issues I Changes in constituents? Strat water vapour, ozone, solar cycle changes in ozone? (CO2??); disentangling solar and volcanic signals.
Monitoring Stratospheric Temperature and Trends with Satellite Data March 3, 2005 R. Lin, A. J. Miller, C. Long, J. Wild, M. E. Gelman, S. Zhou, R. M.
Imposed ozone calculations Qualitatively same behaviour in all models (which qualitiatively agrees with the observations). Significant quantitative differences.
Poor mans temp attribution CCMVal DT attribution CCMval radiation comparison Piers Forster.
Simulated and observed geopotential height and temperature changes.
Stratospheric Measurements: Microwave Sounders I. Current Methods – MSU4/AMSU9 Diurnal Adjustment Merging II. Problems and Limitations III. Other AMSU.
Norwegian Institute for Air Research The Tropopause at High Northern Latitudes: Trends and Influence of Atmospheric Dynamics Georg Hansen and.
The basics for simulations
Decadal Variation of the Holton-Tan Effect Hua Lu, Thomas Bracegirdle, Tony Phillips, Andrew Bushell DynVar/SNAP Workshops, April, 2013, Reading,
Contribution by Philippe Keckhut, Service d’Aéronomie/IPSL Chantal Claud, Laboratoire de Météorologie Dynamique/IPSL An updated analysis of stratospheric.
Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.
A synthetic report of recent climatic changes and their impacts on energy and water budgets over the Tibetan Plateau (TP) Kun Yang, Jun Qin, Wenjun Tang.
Evaluation of Satellite NO2 Stratospheric Columns with the SAOZ/NDACC UV-Vis Network J.-P. Pommereau 1, F. Goutail 1, A. Pazmino 1, D. Ionov 1,3, F. Hendrick.
Preliminary results of the seasonal ozone vertical trends at OHP France Maud Pastel, Sophie Godin-Beekmann Latmos CNRS UVSQ, France  NDACC Lidar Working.
Trends in the Upper Stratosphere - Lower Mesosphere Philippe Keckhut, Chantal Claud, Bill Randel, NOAA/CPC.
Cirrus climatology at mid-latitude observed with Lidar P. Keckhut, S. Bekki, A. Hauchecorne, F. Borchi, A. Colette, C. David, and J. Jumelet Climate, Ozone,
SPARC Temperature Trends Assessment group also Shigeo Yoden, Carl Mears, John Nash Nathan Gillett Jim Miller Philippe Keckhut Dave Thompson Keith Shine.
Stratospheric Temperature Variations and Trends: Recent Radiosonde Results Dian Seidel, Melissa Free NOAA Air Resources Laboratory Silver Spring, MD SPARC.
National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory Princeton, NJ Evolution of Stratospheric.
Some analyses of updated SSU data –merging Nash data with NOAA-11 and NOAA-14 –derived trends, solar cycle –comparisons with NCEP/ERA40/HALOE data.
Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.
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”
Response of Middle Atmospheric Hydroxyl Radical to the 27-day Solar Forcing King-Fai Li 1, Qiong Zhang 2, Shuhui Wang 3, Yuk L. Yung 2, and Stanley P.
Stratospheric temperature trends from combined SSU, SABER and MLS measurements And comparisons to WACCM Bill Randel, Anne Smith and Cheng-Zhi Zou NCAR.
Seasonal variability of UTLS hydrocarbons observed from ACE and comparisons with WACCM Mijeong Park, William J. Randel, Louisa K. Emmons, and Douglas E.
Strengthening of Brewer- Dobson circulation since 1979 seen from observed lower- stratospheric temperatures Qiang Fu Department of Atmospheric Sciences.
HIRDLS Ozone V003 (v ) Characteristics B. Nardi, C. Randall, V.L. Harvey & HIRDLS Team HIRDLS Science Meeting Boulder, Jan 30, 2008.
Ko pplung von Dy namik und A tmosphärischer C hemie in der S tratosphäre H 2 O in models and observations Coupling of dynamics and atmospheric chemistry.
An assessment of the NRLMSISE-00 density thermosphere description in presence of space weather events C. Lathuillère and M. Menvielle The data and the.
Ko pplung von Dy namik und A tmosphärischer C hemie in der S tratosphäre total ozone fluctuations related to different influences Global Maps Mechanisms.
Ozone time series and trends Various groups compute trends in different ways. One goal of the workshop is to be able to compare time series and trends.
Dynamical balances and tropical stratospheric upwelling Bill Randel and Rolando Garcia NCAR Thanks to: Qiang Fu, Andrew Gettelman, Rei Ueyama, Mike Wallace,
Dynamical Impacts of Antarctic Stratospheric Ozone Depletion on the Extratropical Circulation of the Southern Hemisphere Kevin M. Grise David W.J. Thompson.
Comparison of updated SSU temperatures with chemistry climate model simulations Nathan Gillett Canadian Centre for Climate Modelling and Analysis, Victoria,
SPARC stratospheric temperature trends group Some history: Probably the longest-running SPARC group (since ~ 1995) Distingushed SPARC alumni; originally.
Total ozone data The Dobson total ozone data used in this study (Table) were measured at five midlatitude sites and three tropical sites maintained and.
Dynamical control of ozone transport and chemistry from satellite observations and coupled chemistry climate models Mark Weber 1, Sandip Dhomse 1, Ingo.
Chapter 6: Present day ozone distribution and trends relevant to climate change A. Gaudel, O. R. Cooper, G. Ancellet, J. Cuesta, G. Dufour, F. Ebojie,
Upgrade from SGP V5.02 to V6.00: Conclusions from delta-validation of Diagnostic Data Set D. Hubert, A. Keppens, J. Granville, F. Hendrick, J.-C. Lambert.
S. Godin-Beekmann1, A. Pazmiño1, F. Goutail1, S. Khaykin1, M. R
CCSM Working Group Meeting, February 2008
Static Stability in the Global UTLS Observations of Long-term Mean Structure and Variability using GPS Radio Occultation Data Kevin M. Grise David W.
Seasonal variability of the tropical tropopause dehydration
Analysis of tropospheric ozone long-term lidar and surface measurements at the JPL-Table Mountain Facility site, California Maria J. Granados-Muñoz and.
Summary Sondes RS 80 has dry bias. RS 92 virtually without bias
The ionosphere is much more structured and variable than ever predicted. Solar Driven Model Since 2000, we have seen more, very clear evidence that the.
Yucheng Zhao, M. J. Taylor, P.-D. Pautet,
Stratospheric temperature simulated by GFDL models
Changes in the Free Atmosphere
Update on Stratosphere Improvements in Reanalysis
SOLARIS activity report
Observed Stratospheric Temperature Changes during the Satellite Era Dian Seidel, Isaac Moradi, Carl Mears, John Nash, Bill Randel, Roger Saunders,
NDACC Lidar measurements at OHP
Presentation transcript:

Philippe Keckhut, Chantal Claud, Bill Randel Upper stratospheric trends

Topics - lidar / SSU - Trend estimates - Other data sets - Solar effect

NDACC Lidars StationLatitudeLongitudeOperating since Hohenpeissenberg47,80°N11,02°E1987 OHP: Obs de Haute-Provence 43,93°N5,71°E1979 Table Mountain Facility34,04°N117,70°W1988 Hawaï19,54°N155,58°W1993 La Réunion21,80°S55,5°E1994

TMF lidar has much larger cooling trends: step wise 2-3 Hohenp. lidar has positive residual trends: anomalies in and biais OHP lidar has negligible residual trend ?

comparison of lidar and SSU trends for Notes: Satellite trends are small for this period. Trends are changing Large statistical uncertainties for the lidars (only shown for OHP curve, but similar for other stations). Table Mountain is an outlier (strong cooling, as seen in the time series) Hohenpeisenberg also TMF.OHP. Hohenp.

A new temperature trend assessment should Assess trends Time Altitudes Latitudes Accuracy trends accuracy temporal continuity, data consensus Highlighted what is new / 2001 Trend behavior: Changing trends Existing series: new, combining (SSU/AMSU) and stopping one (FUB, rocket) What is required for future trends: recommendations

Summer OHP Lidar temperature trends Linear Linear Linear term of a non linear analysis Quadratic term

Trends updated with rocket sondes Rockets and lidar Heiss (81°N)

Temperature climatology above Dumont DUrville (Antarctica) Nov-AprilAug.-Oct. Occurrence of T < 190K ECMWF-RS at 100hPa for

Response to the 11-year solar cycle US Rocket sites Tropics Sub-tropics Mid-latitudes Kekchut et al., 2005

Response to the 11-year solar cycle Lidar 44°N SummerWinter Keckhut et al., 2005

Response to the 11-year solar cycle ±70° SSU at 6 hPa Keckhut et al., 2005

Mechanistic simulations of the atmospheric solar response Response depends on Planetary Waves activity Response is highly non-linear Clim*1.5 Clim*1.8 Clim*2.2 3D Rose/Reprobus model at SA Hampson et al., 2005

Variations with Longitude 25 km 37 km 49 km Ref: Hampson et al. 2007