2004/04/02GIST 21, Boulder M. Viollier et al.1 Time sampling bias: combination of CERES with Meteosat narrow-bands and beginning a comparison with GERB.

Slides:

Advertisements

Similar presentations

© University of Reading Richard Allan Department of Meteorology, University of Reading Thanks to: Jim Haywood and Malcolm.

Advertisements

Figure 1: Using GERB and SEVIRI data to evaluate the Met Office NWP model in near-real time; example SINERGEE comparisons for 8 th March 2006 at 1200 UTC.

IRS2004, Busan, August 2004 Using Satellite Observations and Reanalyses to Evaluate Climate and Weather Models Richard Allan Environmental Systems Science.

Changes in clear-sky longwave radiative cooling in the atmosphere Richard Allan Environmental Systems Science Centre, University of Reading,

1 Evaluating climate model using observations of tropical radiation and water budgets Richard P. Allan, Mark A. Ringer Met Office, Hadley Centre for Climate.

Evaluating the Met Office global forecast model using GERB data Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading.

EUMETSAT 2006 Helsinki Exploitation of GERB/SEVIRI data for evaluation of the Met Office global forecast model Richard Allan, Tony Slingo Environmental.

GERB/CERES Meeting 2006 Exeter Evaluation of clouds and radiation in the Met Office global forecast model using GERB/SEVIRI data Richard Allan, Tony Slingo.

Recent Evidence for Reduced Climate Sensitivity Roy W. Spencer, Ph.D Principal Research Scientist The University of Alabama In Huntsville March 4, 2008.

GERB-2 GEO 22/11/05 J. Hanafin Using IDL coastline information as independent check on L15 and L2 Geolocations Only SW and SWF day time radiances used.

GERB SW fluxes: an update (Clear ocean SW radiances and fluxes in the reprocessed V999 June 04 data) Cédric Bertrand GIST th December, Imperial.

Earth Radiation Budget Studies over the tropical monsoon region using satellite data P. C. Joshi Meteorology and Oceanography Group Space Applications.

TOA radiative flux diurnal cycle variability Patrick Taylor NASA Langley Research Center Climate Science Branch NEWS PI Meeting.

Surface Skin/Air Temperature and LW Flux Calculation Y-C. Zhang and W.B. Rossow LandFlux Conference CNES/CESBIO, Toulouse, France May 28 – 31, 2007.

Characterizing the Diurnal Cycle in a Global Analysis/Forecast System Alex Ruane John Roads Masao Kanamitsu Experimental Climate Prediction Center Scripps.

Diurnal asymmetry in the GERB(-like) fluxes: an update Cédric Bertrand Royal Meteorological Institute of Belgium, Brussels, Belgium.

Megha-Tropiques Workshop, Ahmedabad, October ScaRaB / Megha-Tropiques: objectives, description, calibration and radiance-to-flux conversion ScaRaB:

The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu Department of Atmospheric Science University of Washington.

The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu 1 Thomas Ackerman 1,2, Sally McFarlane 2, Jim Mather 2, University.

Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.

© Imperial College LondonPage 1 Quantifying the direct radiative effect of Saharan dust aerosol over north-west Africa and the tropical Atlantic Richard.

Reflected Solar Radiative Kernels And Applications Zhonghai Jin Constantine Loukachine Bruce Wielicki Xu Liu SSAI, Inc. / NASA Langley research Center.

Surface Atmospheric Radiation Budget (SARB) working group update Seiji Kato 1, Fred Rose 2, David Rutan 2, Alexander Radkevich 2, Tom Caldwell 2, David.

1 The intercomparison of tropical tropospheric compositions measured from satellite Jae Kim 1, Somyoung Kim 1, and M. J. Newchurch 2 1: Pusan National.

Occurrence of TOMS V7 Level-2 Ozone Anomalies over Cloudy Areas Xiong Liu, 1 Mike Newchurch, 1,2 and Jae Kim 1,3 1. Department of Atmospheric Science,

Z. P. Szewczyk GIST 25, Oct Recent Field Campaigns with CERES Instruments Z. Peter Szewczyk Kory J. Priestley Lou Smith Remote Sensing of Clouds.

Synoptic variability of cloud and TOA radiative flux diurnal cycles Patrick Taylor NASA Langley Research Center Climate Science Branch

1 CERES Results Norman Loeb and the CERES Science Team NASA Langley Research Center, Hampton, VA Reception NASA GSFC, Greenbelt, MD.

AGU 2002 Fall Meeting NASA Langley Research Center / Atmospheric Sciences Validation of GOES-8 Derived Cloud Properties Over the Southeastern Pacific J.

Overview of the “Geostationary Earth Radiation Budget (GERB)” Experience. Nicolas Clerbaux Royal Meteorological Institute of Belgium (RMIB) In collaboration.

On the application of CERES SW ADMs Cédric Bertrand.

GERB-2 V999 Unfiltering Nicolas Clerbaux & RMIB GERB Team. GIST 24, Imperial College, London 15 december 2005.

The diurnal cycle in GERB data Analysis of the diurnal cycle of outgoing longwave radiation (OLR) One month of GERB top of atmosphere OLR flux data from.

The GEWEX Radiative Flux Assessment Project The GEWEX Radiative Flux Assessment Project 5 th International GEWEX Conference June , 2004 Atsumu Ohmura.

3rd Indo-French Workshop on Megha-Tropiques under ISRO-CNES Programme on Atmosphere, Climate and Oceanography, Ahmedabad, India October 17-20, Convection,

CAPE AND LIGHTNING How is distribution of CAPE more diffused than distribution of lightning? Positive corelation between convective cloud layer, columnar.

Estimating the radiative impacts of aerosol using GERB and SEVIRI H. Brindley Imperial College.

A Preliminary Evaluation of the Global Water and Energy Budgets in an Upcoming NASA Reanalysis Junye Chen (1,2) and Michael G. Bosilovich (2) 1 ESSIC,

© Imperial College LondonPage 1 Cloud Forcing Studies using CERES and GERB(-like) data Joanna Futyan, Jacqui Russell and John Harries GIST 22 RMIB, Brussels,

Radiative Atmospheric Divergence using ARM Mobile Facility, GERB data and AMMA stations –led by Tony Slingo, ESSC, Reading University, UK Links the ARM.

July 2006GEWEX Cloud Assessment1 Assessment of cloud properties from Satellite Data: ISCCP,TOVS Path-B, UW HIRS Claudia Stubenrauch CNRS/IPSL - Laboratoire.

Investigations of Artifacts in the ISCCP Datasets William B. Rossow July 2006.

© Imperial College LondonPage 1 Estimating the radiative effect of mineral dust over ocean The radiance to flux problem Dust retrieval quality Applying.

GIST 21 st, Boulder The Surface Radiation Budget within the Satellite Application Facility on Climate Monitoring (CM-SAF) Rainer Hollmann.

RMIB involvement in the Geostationary Earth Radiation Budget (GERB) and Climate Monitoring SAF projects Nicolas Clerbaux Remote sensing from Space Division.

ESTIMATION OF SOLAR RADIATIVE IMPACT DUE TO BIOMASS BURNING OVER THE AFRICAN CONTINENT Y. Govaerts (1), G. Myhre (2), J. M. Haywood (3), T. K. Berntsen.

GERB STM, Exeter, Oct SW Diurnal Errors in ERB monthly means: some studies from CERES and GERB LMD/IPSL M. Viollier and A. Ben Rehouma Ecole Polytechnique,

GERB science meeting, Oct 2006 The bias in OLR over west Africa in the Met Office Unified Model: detection, attribution, and future plans Jonathan Taylor.

Ocean Surface heat fluxes

Page 1© Crown copyright 2006 Modelled & Observed Atmospheric Radiation Balance during the West African Dry Season. Sean Milton, Glenn Greed, Malcolm Brooks,

Diurnal Cycle of Cloud and Precipitation Associated with the North American Monsoon System Pingping Xie, Yelena Yarosh, Mingyue Chen, Robert Joyce, John.

An Observationally-Constrained Global Dust Aerosol Optical Depth (AOD) DAVID A. RIDLEY 1, COLETTE L. HEALD 1, JASPER F. KOK 2, CHUN ZHAO 3 1. CIVIL AND.

2004/11/10GIST 22, Brussels, LMD, M. Viollier1 POLDER, CERES, GERB flux comparisons and information on AMMA and MeghaTropiques Michel Viollier Laboratoire.

© Imperial College LondonPage 1 Inter-comparisons of monthly mean (and monthly time-step mean) GERB clear sky fluxes Joanna Futyan, Richard Allan and Jacqui.

The diurnal cycle and propagation of convection in Africa Arlene Laing National Center for Atmospheric Research.

Generation of TOA Radiative Fluxes from the GERB Instrument Data. Part II: First Results Nicolas Clerbaux and GERB team Royal Meteorological Institute.

© Imperial College LondonPage 1 Deriving clear-sky fluxes for GERB Jo Futyan Gist 21, CERES-GERB meeting 02/04/04 Boulder, Colorado.

Using GERB and CERES data to evaluate NWP and Climate models over the Africa/Atlantic region Richard Allan, Tony Slingo, Ali Bharmal Environmental Systems.

Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,

Diurnal Cycle of Precipitation Based on CMORPH Vernon E. Kousky, John E. Janowiak and Robert Joyce Climate Prediction Center, NOAA.

NASA Langley Research Center / Atmospheric Sciences CERES Instantaneous Clear-sky and Monthly Averaged Radiance and Flux Product Overview David Young NASA.

1 Changes in global net radiative imbalance Richard P. Allan, Chunlei Liu (University of Reading/NCAS Climate); Norman Loeb (NASA Langley); Matt.

LIMITLESS POTENTIAL | LIMITLESS OPPORTUNITIES | LIMITLESS IMPACT Copyright University of Reading CURRENT CHANGES IN EARTH’S ENERGY IMBALANCE

METEO-FRANCE ACTIVITIES RELEVANT TO MEGHA-TROPIQUES Jean PAILLEUX et Mathieu NURET METEO-FRANCE (CNRM) 42 avenue G. Coriolis Toulouse Cedex 1 France.

TOA Radiative Flux Estimation From CERES Angular Distribution Models

Radiative biases in Met Office global NWP model

Eumetsat conference 2004, Praha

Annual cycle of cloud fraction and surface radiative cloud forcing in the South-East Pacific Stratocumulus region Virendra P. Ghate and Bruce A. Albrecht.

Reconciling Ocean Heating and

Analysis of CO in the tropical troposphere using Aura satellite data and the GEOS-Chem model: insights into transport characteristics of the GEOS meteorological.

Presentation transcript:

2004/04/02GIST 21, Boulder M. Viollier et al.1 Time sampling bias: combination of CERES with Meteosat narrow-bands and beginning a comparison with GERB Michel Viollier, Patrick Raberanto, Robert Kandel Laboratoire de Météorologie Dynamique, IPSL/CNRS, Ecole Polytechnique Palaiseau, France

2004/04/02GIST 21, Boulder M. Viollier et al.2 Important issue on the SW monthly means … can the low SW flux be explained by diurnal effects ? linked to the 10:30 observation local time ? Radiative Anomaly (Wm -2 )- Wielicki etal Scanners CERES ScaRaB NOAA-ERBS

2004/04/02GIST 21, Boulder M. Viollier et al.3 Outline objective: to search for a possible diurnal bias in the Terra alone computations: - comparison of diurnal cycles and monthly means from Terra and Aqua July 2002, March combination of Meteosat-5 with CERES/Terra, July 2002, and comparison with Terra+Aqua ; second example: March beginning GERB/CERES comparisons and diurnal variations over selected areas

2004/04/02GIST 21, Boulder M. Viollier et al.4 CERES SW : Aqua minus Terra, 2002 July, Sep, Dec. Compared to Terra, Aqua misses morning reflected flux from marine stratus, but is sensitive to afternoon convective activity on continents, and vice versa. [December/Antartic: instrument/angular differences are amplified by the very large solar incident flux] Jul Sep Dec

2004/04/02GIST 21, Boulder M. Viollier et al.5 Aqua, Terra ES 9 differences: Min and Max ( Wm -2 ) Minimum differences near western continent coast Maximum differences inland areas ERBE Region Wm -2 ERBE Region Wm -2 Jul Cameroon New Mex. US 44 Sep Angola Lake Victoria 33 Dec off Peru Madagascar 22

2004/04/02GIST 21, Boulder M. Viollier et al.6 Aqua, Terra ES 9 regional instantaneous albedo July 2002 Cameroon /east Atlantic sw flux monthly m. A qua –Terra= - 30 Wm -2 New Mexico USA /inland area Aqua –Terra= + 44 Wm -2 Red=monthly mean Terra Aqua

2004/04/02GIST 21, Boulder M. Viollier et al.7 CERES Aqua, Terra : SW 20°S-20N Means ( Wm -2 ) 2002Aqua FM3 Ed1 Terra E d2 S9(Aq+Te) Ed1 Aqua minus Terra Aqua minus S9(Aq+Te) Jul Aug Sep Oct Nov Dec < 0.5 Wm -2 Combination of Terra and Aqua don’t change significantly the tropical SW mean.

2004/04/02GIST 21, Boulder M. Viollier et al.8 Compare ES9 Terra and Aqua with contemporaneous Meteosat-5 : JULY 2002 SW LW Study over the INDOEX area (1999 study following-on )

2004/04/02GIST 21, Boulder M. Viollier et al.9 SW Monthly Means Computations with CERES/Meteosat-5 combinations -estimate instantaneous fluxes from Meteosat-5 -average the fluxes (2.5°x2.5°) and fill the 24x31 day-hour table (applying cos SZA corrections between observation time and local half-hour, eliminating spurious data, twilight and night-time data) -use ‘our ERBE-type’ code, with CERES flux estimates -use the GEO observed diurnal albedo variation shape in place of the ERBE modeled albedo basically the same approach as the GEO interp. of CERES/SRBAVG

2004/04/02GIST 21, Boulder M. Viollier et al.10 Estimation of Meteosat-5fluxes by comparison to CERES. Examples: July 2002 FM2 (Terra) FM4 (Aqua) Meteosat flux conversion: based on ScaRaB 1999 (Viollier et al., JGR 2004)

2004/04/02GIST 21, Boulder M. Viollier et al.11 Ethiopia ERBE-type extrapolation with Meteosat Diff= =18 Wm -2 DIURNAL EXTRAPOLATION

2004/04/02GIST 21, Boulder M. Viollier et al.12 Ocean W. Australia ERBE-type extrapolation with Meteosat Diff= =-4 Wm -2

2004/04/02GIST 21, Boulder M. Viollier et al.13 Red Sea ERBE-type extrapolation with Meteosat Diff= =-1,2 Wm -2

2004/04/02GIST 21, Boulder M. Viollier et al.14 Terra/Meteosat-5 correction - July 2002 Area of predominant morning cloudiness: over ocean west of Australia Difference between M5-Terra SW combination and ERBE-type extrapolation Mean ~ + 3,35 Wm -2 Area of predominant afternoon cloudiness, Ethyopia

2004/04/02GIST 21, Boulder M. Viollier et al.15 ES9(2 sat) - ES9(Terra) Terra/Meteosat-5 correction but July Meteosat data are available to us from Aqua –Terra (Takmen Wong, Oct. 15) same but # colors, grid, interp. Mean=

2004/04/02GIST 21, Boulder M. Viollier et al.16 SW Monthly Means Computations with CERES/Meteosat-5 combinations, March 2000 Difference between M5-Terra SW combination and ERBE-type extrapolation Mean ~ + 4 Wm -2 Same but for region of predominant afternoon cloudiness, over ocean northwest of Madagascar (long.=56°E, lat.=6°S) Area of predominant morning cloudiness: monthly means of the diurnal cycle for albedo (left) and LW flux (right), over ocean west of Australia (long.= 104°E, lat.=29°S) (Viollier et al., JGR 2004)

2004/04/02GIST 21, Boulder M. Viollier et al.17 preliminary GERB comparisons - GERB data: 19, 23 Dec ( ex. G2_SEV1_L20S_ _130000_V002.hdf ) - CERES : ES8 ( ex CER_ES8_Aqua-FM3_Edition1_ ) - average data over 2.5 x 2.5° regions - keep region with more than 80 (CERES) and 20 (GERB) observations - compare GERB and CERES flux regional means with time condition: ± 10 minutes (LW), ± 2 minutes (SW), - other comparisons: radiance, reflectance, albedo - observe selected regional diurnal cycles (albedo, LW flux)

2004/04/02GIST 21, Boulder M. Viollier et al.18 CERES/GERB flux intercomparison LW dayLW nightSW mean difference < ~2%, (preliminary result for 2003 Dec 23, approximate GERB observation time= 00:07:30, 00:22:30,.. )

2004/04/02GIST 21, Boulder M. Viollier et al.19 Diurnal variations using GERB (preliminary) – 2003, Dec. 19 Clear Ocean (Arabian Gulf)Clear Land (S. Africa)

2004/04/02GIST 21, Boulder M. Viollier et al.20 Diurnal variations using GERB (preliminary) – 2003, Dec. 19 off Angola Africa low cloud area convective cloud area

2004/04/02GIST 21, Boulder M. Viollier et al.21 Conclusions SW differences of tropical monthly means between computations from one (Terra) or two satellites (Terra+Aqua, Ed1) are not significant (0.5 Wm -2 )  the addition of Aqua in the monthly means calculations doesn't show any sufficient diurnal bias to explain the low SW fluxes observed by Terra since 2000 over INDOEX area : combination with Meteosat suggests Terra monthly means might be underestimated by ~4 Wm -2, and then diurnal bias could partly explain the low CERES SW fluxes further analysis of GERB and of the CERES geo-interpolations are necessary to confirm this conclusion with still several issues: inter-calibration and radiance-to-flux conversions

2004/04/02GIST 21, Boulder M. Viollier et al.22 back up slides

2004/04/02GIST 21, Boulder M. Viollier et al.23 Beside presentation : AMMA as a potential GERB data user (1/2) African Monsoon Multidisciplinary Analyses ( multidisciplinary project on the West African Monsoon and its impacts Atmospheric Dynamics, Continental Water Cycle, Atmospheric Chemistry, Oceanic and Continental Surface Conditions. Sponsors : French Agencies CNES, CNRS/INSU, IRD, and Meteo-France. International participation: Africa, Germany, the UK, and the United States,…

2004/04/02GIST 21, Boulder M. Viollier et al.24 AMMA as a potential GERB data user (2/2) Long Term Observation Period : … 2009 Special Observing Period (SOP): various key stages of the rainy season during three periods in 2005: (i) monsoon onset, (ii) peak monsoon and (iii) late monsoon AMMA-SAT : the satellite data component of AMMA In this project : we emphasize the value of CERES and GERB data