EGS-AGU-EUG Joint Assembly, Session AS27, Nice 6-11 April 2003

Slides:



Advertisements
Similar presentations
ECMWF/EUMETSAT NWP-SAF Satellite data assimilation Training Course
Advertisements

NO x derived from MIPAS/ENVISAT in the Southern Hemisphere vortex split-up event in Sep./Oct.2002 B. Funke 1, M. López-Puertas 1, T. von Clarmann 2, H.
Page 1 MIPAS QWG #15, ESRIN, 23-25/01/08 Bianca Maria Dinelli Istituto di Scienze dell'Atmosfera e del Clima CNR (Italy) Enzo Papandrea Massimo Carlotti.
Full Resolution – Reduced Resolution differences E. Papandrea, M. Carlotti, M. Ridolfi, E. Arnone DCFI, University of Bologna, Italy B.M. Dinelli ISAC-CNR,
Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft NDACC H2O workshop, Bern, July 2006 Water vapour profiles by ground-based FTIR Spectroscopy:
Microwindow Selection for the MIPAS Reduced Resolution Mode INTRODUCTION Microwindows are the small subsets of the complete MIPAS spectrum which are used.
E.Papandrea PM4 - Esrin, 5 th Nov 2004 DFCI Page 1 Topics 1.MWs Joint Retrieval of pT, H 2 O, O 3 without CO2MIX as a source of systematic error; MWs Joint.
Page 1 ENVISAT Symposium – Salzburg - Austria 6-10 September 2004 GEO-MTR: A 2-Dimensional Multi Target Retrieval System for MIPAS/ENVISAT Observations.
Analysis of L1b files with restituted attitude Bianca M. Dinelli E. Papandrea.
Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia ASSFTS-13 Toulouse 7-9 Nov 2007 Page 1 Oxford Retrievals of MIPAS Data Anu Dudhia.
Chiara Piccolo and Anu Dudhia Atmospheric, Oceanic and Planetary Physics, Department of Physics, Oxford University, Oxford, UK Predicted.
Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS ST7 Salamanca Mar 2008 Page 1 Recent MIPAS L2 Data Retrieved at Oxford.
Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS ST6 Karlsruhe 18/19 Sep 2007 Page 1 Long Term Trends Anu Dudhia University.
Extracting Atmospheric and Surface Information from AVIRIS Spectra Vijay Natraj, Daniel Feldman, Xun Jiang, Jack Margolis and Yuk Yung California Institute.
Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG12 ESRIN Feb 2007 Page 1 pT Microwindows Anu Dudhia University of.
Page 1 ENVISAT SYMPOSIUM - Montreux – 23/27 April 2007 Page 1 Stratospheric Distribution of CO 2 from the MIPAS High-resolution Full Mission Bianca Maria.
REMOTE SENSING & THE INVERSE PROBLEM “Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis.
Institute for Environmental Physics and Remote Sensing (IUP/ife) Physics/Electrical Engineering 1 K.-U. Eichmann, C. von Savigny, G. Rohen, J. Kaiser,
8-years of global observations of water isotopologues in the stratosphere and mesosphere by the Odin satellite J. Urban, D.P. Murtagh, P. Eriksson,...
COST 723 Training School - Cargese October 2005 OBS 2 Radiative transfer for thermal radiation. Observations Bruno Carli.
2-b HDO GHz. HDO is measured using the same radiometer in a time shared mode during roughly half of the 15 orbits per measurement day, each orbit.
SABER H 2 O RETRIEVAL: CURRENT STATUS AND FUTURE PLANS A.G. Feofilov 1,2, A.A. Kutepov 1,2, W.D. Pesnell 1, R.A. Goldberg 1 SABER Team Meeting, June 15,16,
Atmospheric Science Conference, ESA-ESRIN, 2006 Spatial and temporal distributions of water vapour in the UTLS as observed with MIPAS/Envisat M.Milz for.
Page 1 MIPAS QWG#12 14/16 February 2007 Retrieval of 15 N/ 14 N isotopic ratio from MIPAS spectra Feasibility of 15 N/ 14 N isotopic ratio profile retrieval.
Ko pplung von Dy namik und A tmosphärischer C hemie in der S tratosphäre Troposphere/Stratosphere Exchange and Influence of Solar Variability of examples.
Introduction The Michelson Interferometer for Passive Atmosphere Sounding (MIPAS) on board the Polar orbiter ENVISAT, successfully launched on March 1st,
Neutral Winds in the Upper Atmosphere Qian Wu National Center for Atmospheric Research.
Testing LW fingerprinting with simulated spectra using MERRA Seiji Kato 1, Fred G. Rose 2, Xu Liu 1, Martin Mlynczak 1, and Bruce A. Wielicki 1 1 NASA.
AIRS Radiance and Geophysical Products: Methodology and Validation Mitch Goldberg, Larry McMillin NOAA/NESDIS Walter Wolf, Lihang Zhou, Yanni Qu and M.
NON-LTE DIAGNOSTICS OF BROADBAND INFRARED EMISSIONS FROM MESOSPHERE AND LOWER THERMOSPHERE: APPLICATIONS TO SABER/TIMED A.G. Feofilov 1,2, A.A. Kutepov.
© 2009 SRI International TEMPERATURE DEPENDENCE OF THE VIBRATIONAL RELAXATION OF OH(  = 1, 2) by O, O 2, AND CO 2 Constantin Romanescu, Henry Timmers,
1 Atmospheric Radiation – Lecture 7 PHY Lecture 7 Thermal Radiation.
Kinetic Temperature Retrievals from MGS TES Bolometer Measurements: Current Status and Future Plans A.A. Kutepov, A.G. Feofilov, L.Rezac July 28, 2009,
NO and CO vertical profiles derived from MIPAS/ENVISAT under consideration of non-LTE B. Funke 1, T. von Clarmann 2, H. Fischer 2, M. García-Comas 1, S.
1. Introduction The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) is a high-resolution limb sounder on board the ENVISAT satellite,
Studying the Venus terminator thermal structure observed by SOIR/VEx with a 1D radiative transfer model A. Mahieux 1,2,3, J. T. Erwin 3, S. Chamberlain.
Climate and Global Change Notes 17-1 Earth’s Radiation & Energy Budget Resulting Seasonal and Daily Temperature Variations Vertical Temperature Variation.
Page 1 COST 723 – Opening Workshop - ESTEC March 2004 GEO-MTR: A 2-Dimensional Multi Target Retrieval System for MIPAS/ENVISAT observations Bianca.
Layers of the Atmosphere Layer NameAltitude (km) Temperature change with altitude.
Layers of the Atmosphere
An Experimental Approach to the Prediction of Complete Millimeter and Submillimeter Spectra at Astrophysical Temperatures Ivan Medvedev and Frank C. De.
Night OH in the Mesosphere of Venus and Earth Christopher Parkinson Dept. Atmospheric, Oceanic, and Space Sciences University of Michigan F. Mills, M.
Methane Retrievals in the Thermal Infrared from IASI AGU Fall Meeting, 14 th -18 th December, San Francisco, USA. Diane.
© Crown copyright Met Office Assimilating infra-red sounder data over land John Eyre for Ed Pavelin Met Office, UK Acknowledgements: Brett Candy DAOS-WG,
Comparison of SABER non-LTE Retrievals of Kinetic Temperature with Ground-based measurements CONCLUSIONS Good general agreement between SABER Tk (v1.01)
1.
Weather and Climate Weather and Climate are Two Different Things
G. Mevi1,2, G. Muscari1, P. P. Bertagnolio1, I. Fiorucci1
The Atmosphere and Climate
Update of a presentation at ESLAB meeting in May 2009
The Atmosphere.
SABER Data Quality.
G. Mevi1,2, G. Muscari1, P. P. Bertagnolio1, I. Fiorucci1
UVIS Saturn Atmosphere Occultation Prospectus
The Atmosphere: Part 2: Radiative equilibrium
The Atmosphere
Chapter 3 Atmospheric Radiative Transfer and Climate
Structure of the atmosphere
GIFTS-IOMI Clear Sky Forward Model
Randall Martin Aaron Van Donkelaar Daniel Jacob Dorian Abbot
Ionospheric Effect on the GNSS Radio Occultation Climate Data Record
The Structure of the Atmosphere
ATOC 4720 class27 Radiative transfer in global energy balance
The Atmosphere Atmosphere Composition - 76% Nitrogen - 23% Oxygen
Aim: How do we differentiate between the layers of the atmosphere?
I am the layer of the atmosphere closest to the ground
Characterizing the response of simulated atmospheric boundary layers to stochastic cloud radiative forcing Robert Tardif, Josh Hacker (NCAR Research Applications.
Effects and magnitudes of some specific errors
MIPAS-2D water database and its validation
The Atmosphere.
Presentation transcript:

EGS-AGU-EUG Joint Assembly, Session AS27, Nice 6-11 April 2003 Page 1 EGS-AGU-EUG Joint Assembly, Session AS27, Nice 6-11 April 2003 A survey of non-LTE atmospheric emissions as measured by MIPAS/Envisat M. López-Puertas (puertas@iaa.es) for the IMK-IAA MIPAS Group: B. Funke, M. García-Comas, S. Gil-López, M. López-Puertas, M.Á. López-Valverde (IAA, Granada) T. von Clarmann, H. Fischer, N. Glatthor, U. Grabowski, M. Höpfner, S. Kellmann, M. Kiefer, A. Linden, G. Mengistu Tsidu, M. Milz, T. Steck, G.P. Stiller, D.Y. Wang (IMK, Karlsruhe)  

Contents Introduction Some "first-detected" NLTE emissions obverved by MIPAS Retrievals of NLTE parameters (CO2 4.3 µm, NO2 chem. exc.) Retrievals of pressure/temperature and vmrs under NLTE Pressure-Temperature Ozone, NO, NO2, CO Conclusions

Introduction Unprecedented data measured by MIPAS for non-LTE studies:  Spectra of high resolution (0.035 cm-1) and wide coverage (15-4.3 µm)  High sensitivity (30-3 nW/(cm2 sr cm-1))  Global spatial (pole-to pole) and temporal (day and night) coverages. Two approaches:  Analysis of spectra for gaining new non-LTE information  Retrievals of geophysical parameters which required non-LTE (known) Data used:  Nominal MIPAS mode: 6-42 @ 3 km, 47, 52, 60, 68 km  Upper Atmosphere mode (5 orbits, 1 Jul 2002): 18 - 100 km.

MIPAS spectra, Band A, Th 68 km ------- Night -------- Day Non-LTE CO2 10µm laser emissions Warmer nighttime temperatures

MIPAS upper atmosphere data Orbits 1748-52. 1 July 2002

NLTE Daytime enhancement in CO2 15µm % 685-800 cm-1

MIPAS spectra, Band AB, Th 68 km ------- Night -------- Day O3 100-000 Non-LTE CO2 10µm laser band O3 9.6 µm (001-000)

MIPAS spectra, Band B, Th=66 km ------- Night -------- Day

NLTE in CH4,TH=66 km -------- Day SH -------- Day NH ------- Night

NLTE Daytime enhancement in CH4 1215-1350 cm-1 %

MIPAS spectra, Band C, Th=30 km ------- Night -------- Day Signal larger at night because NO2 is larger

Retrieval of NO2 chem exct. rate Orbit 2108 (24 July)

MIPAS spectra, Band C, Th 68 km ------- Night -------- Day H2O 020-010 HOT band lines

MIPAS spectra, Band C, Th 68 km, H2O FH ------- Night -------- Day H2O 010-000 fundamental band lines H2O 020-010 HOT band lines

NLTE Daytime enhancement in H2O % (D+N) 1300-1630 cm-1

MIPAS spectra, Band D, Th 68 km ------- Night -------- Day CO2 NO CO

MIPAS spectra, Band D, Th 68 km, NO - Rotational and spin nitric oxide lines resolved. - Larger at daytime, as expected - Most of radiation coming from the thermosphere ------- Night -------- Day

Band D, Th=101 km, NO 5.3µm hot band ------- Night -------- Day NO(2-1) NO(2-1)

O3(102001) HB at 56 km -------- Night -------- Day SH ------- DAY NH

Band D, Th 68 km, CO ------- Night -------- Day

CO(21) hot band at 71 km ------- Night -------- Day

OH(98) emission -------- Night, 76km -------- Night, 81km

Band D, Th=68 km, CO2 4.3 µm CO2 hot (mainly) and fundamental (small) bands CO2 fundamental band CO2, 636- isotope lines

CO2 collisional rates in the 2.7µm levels SH3 SH2 FB 628 FH SH1 626 636

The Non-LTE retrieval scheme (1) Jointly developed IMK-IAA non-LTE processor for retrievals of p-T, vmr's, and NLTE parameters.

The Non-LTE retrieval scheme (2) Optimization algorithm Iterative constrained nonlinear least squares global fit Regularisation: Tikhonov smoothing (Temperature, vmr's) Optimal estimation (LOS and CO2) Forward model: KOPRA Line-by-line radiative transfer model Interface for NLTE-model Computes spectra and Jacobians for LTE and non-LTE

The Non-LTE retrieval scheme (3) The non-LTE model: the Generic RAdiative traNsfer AnD non-LTE population Algorithm (GRANADA) Calculation of vibrational populations, and their derivitavies w.r.t the NLTE retrieval parameters Generic: same algorithm used for calculating non-LTE populations of different gases (CO2,O3, CO, NO, NO2, H2O, OH, etc.) Very flexible. User defines the energy levels and transitions, iteration strategies, process definition, etc. Rotational (and spin-orbit) non-LTE Line-by-line and line independent radiative transfer (KOPRA) Inversion of multilevel steady state equation by using Lambda iteration or Curtis matrix formalism Interface module to forward model

Pressure-temperature in the upper atmosphere 1 July 2002, Orbit 1750 NP Eq SP Eq NP

CO2 vmr in the upper atmosphere 1 July 2002 Orbit 1750 NP Eq

O3 vmr in the stratosphere and mesosphere (2) NIGHTTIME DAYTIME 1 July 2002, Orbits 1748-51

O3 vmr in the stratosphere and mesosphere (1) 1 July 2002, Orbit 1750 NIGHT 86ºS DAY 78ºN O3 tertiary max.

CO vmr in the stratosphere and mesosphere 1 July 2002, Orbit 1748 Eq SP Eq NP Eq

Nitric Oxide (NO) 1 July 2002, Orbit 1748 Eq SP Eq NP Eq

NO2 1 July 2002, Orbit 1748 Eq SP Eq NP Eq

Conclusions MIPAS measurements are an unprecendent dataset for improving our knowledge of non-LTE processes in the atmopshere By including non-LTE, we have been able to retrieve many geophysical parameters (p-T, O3, CO2, CO, NO, NO2, H2O, CH4) from the stratosphere up to the lower thermosphere

End of Presentation