Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 1 Oxford Work  Update L2 OFL Error Analyses.

Slides:

Advertisements

Similar presentations

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.

Advertisements

Full Resolution – Reduced Resolution differences E. Papandrea, M. Carlotti, M. Ridolfi, E. Arnone DCFI, University of Bologna, Italy B.M. Dinelli ISAC-CNR,

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.

Report from the 2 nd ACVE Workshop Frascati, Italy, 3-7 May 2004 Yasmine Calisesi International Space Science Institute.

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.

MIPAS2D: nighttime-daytime CFC11 E. Arnone, M. Carlotti, E. Papandrea, M. Ridolfi DCFI, University of Bologna, Italy B.M. Dinelli ISAC-CNR, Bologna, Italy.

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 QWG13 Firenze June 2007 Page 1 Radiometric Offset Impact on L2 Anu.

Page 1 Atmospheric, Oceanic & Planetary Physics, University of Oxford MIPAS QWG9 Florence 01/02 Feb 2006A Dudhia Microwindow Selection for new* Nominal.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS ST6 Karlsruhe 18/19 Sep 2007 Page 1 Long Term Trends Anu Dudhia University.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG15 ESRIN Jan 2008 Page 1 Recent MIPAS L2 Data Retrieved at Oxford.

WP 2000 Improved Identification of Clouds Jane Hurley, Anu Dudhia, Don Grainger University of Oxford.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG12 ESRIN Feb 2007 Page 1 pT Microwindows Anu Dudhia University of.

Page 1 Reduced Resolution Retrievals from MIPAS / MORSE and Oxford Level 2 Monitoring Alastair Burgess and Anu Dudhia Atmospheric, Oceanic and Planetary.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG15 ESRIN Jan 2008 Page 1 Status of Proposed L2 Changes Anu Dudhia.

WP 3000 Macroscopic Parameter Retrieval Jane Hurley, Anu Dudhia, Don Grainger University of Oxford.

Colour Index Microwindow Position Optimisation Harry Desmond and Anu Dudhia.

Atmospheric, Oceanic & Planetary Physics, University of Oxford QWG-11, October 2006, Bologna Chiara Piccolo and Anu Dudhia Precision Validation.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS ST5 Granada Jan 2007 Page 1 AE Mode Dec06 Anu Dudhia University of.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG16 Venice Apr 2008 Page 1 Recent MIPAS L2 Data Retrieved at Oxford.

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.

Comparison of Cloud Detection Methods Jane Hurley, Anu Dudhia, Don Grainger University of Oxford.

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG13 Firenze June 2007 Page 1 Azimuth Dependence of LOS Pointing Anu.

Cloud Top Height Retrieval From MIPAS Jane Hurley, Anu Dudhia, Graham Ewen, Don Grainger Atmospheric, Oceanic and Planetary Physics, University of Oxford.

What If You Reject H 0 ? How much different is Second Population from which Your Sample Is derived? d is a rati o (Comparison) of group differences to.

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.

Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.

Rossana Dragani ECMWF Atmosphere: Integration of several O3-CCI products in the ERA5 system (WP3.2)

8-years of global observations of water isotopologues in the stratosphere and mesosphere by the Odin satellite J. Urban, D.P. Murtagh, P. Eriksson,...

GEWEX/GlobVapour Workshop, Mar 8-10, 2011, ESRIN, Frascati, Italy WATER VAPOUR RAMAN LIDARS IN THE UTLS: Where Are We Now? or “The JPL-Table Mountain Experience”

Climate System and Weather. Weather Weather refers to: The state of the atmosphere in a particular place and time. Weather occurs over short time periods.

Slide 1 Retrospective analysis of ozone at ECMWF Rossana Dragani ECMWF Acknowledgements to: D. Tan, A. Inness, E. Hólm, and D. Dee R. Dragani, SPARC/IOC/IGACO,

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.

1 HIRDLS Science Team Meeting 26,27 June 2008 To be held in the Dobson Room, Atmospheric, Oceanic and Planetary Physics, Department of Physics, Oxford.

Astrophysics working group - CERN March, 2004 Point source searches, Aart Heijboer 1 Point Source Searches with ANTARES Outline: reconstruction news event.

Page 1ENVISAT Validation Review / GOMOS session - ESRIN – 13th December 2002 ENVISAT VALIDATION WORKSHOP GOMOS Recommendations by the ESL team : Service.

Page 1 MIPAS Validation Review - ESRIN - 9–13 December 2002 MIPAS Validation Summary - Plenary Session - Herbert Nett ESTEC / EEM-PPP.

赴国际水稻所访学情况汇报长江大学农学院邢丹英 2010 年 6 月. 学习目的学习时间、地点学习内容学习收获几点体会汇报提纲.

TAMDAR Workshop 2006 – Boulder, Colorado 1 April 13, 2006 UPDATE ON TAMDAR IMPACT ON RUC FORECASTS & RECENT TAMDAR/RAOB COMPARISONS Ed Szoke,* Brian Jamison*,

Page 1 Envisat Validation Workshop, ACVT-GBMCD, MIPAS O 3 12/12/2002 Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based Measurements.

Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) - Middle Atmospheric Observations from the International Space Station Masato Shiotani.

ACE Comparisons Kaley Walker, Ashley Jones, Chris Boone, Chris Sioris, Felicia Kolonjari, Sean McLeod, Peter Bernath and Tom McElroy MOHAVE-2009 #2 Workshop.

INSTRUMENT STATUS AND PERFORMANCE Guido Levrini. Page 2 ENVISAT Validation Workshop - ESRIN - 9–13 December 2002 ASAR F Instrument operability issues.

MODIS Collection 6 MCST Proposed Changes to L1B. Page 2 Introduction MODIS Collection History –Collection 5 – Feb present –Collection 4 – Jan.

Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Evaluation of Envisat data using a NWP Assimilation.

Page 1 COST 723 – Opening Workshop - ESTEC March 2004 GEO-MTR: A 2-Dimensional Multi Target Retrieval System for MIPAS/ENVISAT observations Bianca.

Atmospheric Chemistry Experiment (ACE): Organic Molecules from Orbit Peter Bernath Department of Chemistry, University of York Heslington, York, UK.

南水北调东线第一期工程山东段情况简介. 主要汇报内容二、南水北调山东段工程总体布置三、山东段工程项目划分及工程主要建设内容一、南水北调东线工程概况四、前期工作及工程建设进展情况五、工程总投资.

Methane Retrievals in the Thermal Infrared from IASI AGU Fall Meeting, 14 th -18 th December, San Francisco, USA. Diane.

Ground-based measurements made with PARIS-IR during the ACE Canadian Arctic Validation Campaign in 2004 and 2005 Keeyoon Sung, Kaley Walker, Chris Boone.

Greenhouse Gases: Effects of Warming Emerson Middle School.

MIPAS Monitoring at Oxford

Dec06 Nominal Mode Chiara Piccolo University of Oxford

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

R2971 Seq0100 Scn003 Hohenpeissenberg (48N, 11W)

M. Goldberg NOAA/NESDIS Z. Cheng (QSS)

“Brief” update on ACE water vapour

PCA based Noise Filter for High Spectral Resolution IR Observations

Validation of NOAA-16/ATOVS Products from AAPP/IAPP Packages in Korea

Monitoring and assimilation of SCIAMACHY data at ECMWF

Igor Appel Alexander Kokhanovsky

Band / Target Center Wavelength (m)

MIPAS-2D water database and its validation

A changing context for life on Earth

Quick Overview of DARC Training.

Measures of location: The Mode and Modal Class

Presentation transcript:

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 1 Oxford Work  Update L2 OFL Error Analyses  Comparison of OXF v ESA RR27 L2 data  Long Term Trends in MIPAS data Anu Dudhia University of Oxford

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 2 Update L2 OFL Error Analysis

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 3 Error analyses derived from microwindow selection are provided on web-page Page now updated (8Oct07) Only 2 minor modifications (from QWG12)  SPREAD error (2nd deriv) reduced from 2% to 0.2%  GAIN error (0th deriv) reduced from 2% to 1% for C and D bands L2 Error Analyses

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 4 OldNew H2O Errors

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 5 Comparison of OXF and ESA RR27 Data

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 6  Oxford processor MORSE uses same L1B/microwindows as ESA data, but optimal estimation algorithm.  Oxford emphasis on long-term trends: processing 1 day/month, global coverage, preferably NOM mode. (also, since June 2007, routinely process all MIPAS NOM/UTLS1/MA mode data /  ESA emphasis on processing validation data: usually UTLS1 and limited area coverage - ‘orthogonal’ to Oxford requirements  Run MORSE to compare with ESA data from 14Jun05 and 22Jun05 (as shown at QWG13)

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 7

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 8

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 9 ESA O (14JUN06)

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 10 OXF O (14JUN06)

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 11 OXF-ESA O (14JUN06)

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 12 pT Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 13 H2O Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 14 O3 Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 15 HNO3 Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 16 CH4 Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 17 N2O Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 18 NO2 Comparisons

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 19 OXF-ESA Comparisons: Summary pT: agreement with ± 2K, 5% p H2O: 40-60km -0.5ppmv, >66km +1ppmv O3: <30km Oscillations in OXF data, 40-66km -5% HNO3: 30km +10% CH4: 66km +50% N2O: 30-55km +5% NO2: 25-55km within 5%, <20km +50%, <60km - 50%

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 20 Long Term Trends Anu Dudhia University of Oxford

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 21 MIPAS Operations 2005

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 22 MIPAS Operations 2006

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 23 MIPAS Operations 2007

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 24 Temperature

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 25 H2O

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 26 O3

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 27 HNO3

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 28 CH4

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 29 N2O

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 30 NO2

Atmospheric, Oceanic & Planetary Physics, University of Oxford A Dudhia MIPAS QWG14 Bologna 9-11 Oct 2007 Page 31 Species100mb10mb1mb0.1mb T  0.1K  0.2K +0.7K+1K H2O-10%  1% -10% O3-3%+5%+3%+0-10% HNO3-2%+5-10%-5% CH4  2% +5%+0-10% N2O+5% +0-10% NO2+10%  15% Summary: OXF RR27-FR17