Comparisons between GERB and the Met Office NWP model Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading Sean Milton,

Slides:

Advertisements

Similar presentations

WGCM CFMIP/IPCC Climate Sensitivity Meeting, Exeter, April 2004 Decadal Variability in Water Vapour Richard Allan, Tony Slingo Environmental Systems Science.

Advertisements

DEPARTMENT OF LAND INFORMATION – SATELLITE REMOTE SENSING SERVICES CRCSI AC Workshop November 2005 Remote Sensing in Near-Real Time of Atmospheric.

© Crown copyright 2006Page 1 CFMIP II sensitivity experiments Mark Webb (Met Office Hadley Centre) Johannes Quaas (MPI) Tomoo Ogura (NIES) With thanks.

Proposed new uses for the Ceilometer Network

Dust uplift and transport observed during the GERBILS campaign John Marsham 1, Doug Parker 1, Christian Grams 2, Qian Huang 1,3, Sarah Jones 2, Jim Haywood.

Anthony Illingworth, + Robin Hogan, Ewan OConnor, U of Reading, UK and the CloudNET team (F, D, NL, S, Su). Reading: 19 Feb 08 – Meeting with Met office.

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

Dust and vapour cloud the view Richard Allan Environmental Systems Science Centre, University of Reading, UK Thanks to Tony Slingo, Ruth Comer, Sean Milton,

Robin Hogan, Julien Delanoë, Nicky Chalmers, Thorwald Stein, Anthony Illingworth University of Reading Evaluating and improving the representation of clouds.

© University of Reading Chapman Conference on Atmospheric Water Vapor and Its Role in Climate Tropospheric Water Vapour and.

University of Reading Improved understanding of how rainfall responds to a warming world Richard Allan Environmental Systems.

University of Reading 2007www.nerc-essc.ac.uk/~rpa Monitoring satellite observations and model simulations of changes in the atmospheric.

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.

Current Changes in the Tropical Precipitation and Energy Richard P. Allan Department of Meteorology, University of Reading Thanks to Brian Soden, Viju.

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

© University of Reading 2009 EUMETSAT Monitoring changes in precipitation and radiative energy using satellite data and.

Robin Hogan, Richard Allan, Nicky Chalmers, Thorwald Stein, Julien Delanoë University of Reading How accurate are the radiative properties of ice clouds.

University of Reading 2007www.nerc-essc.ac.uk/~rpa Present day changes in tropical precipitation extremes in models and observations.

© University of Reading Monitoring and understanding current changes in the global energy & water cycles Richard Allan.

3) Empirical estimate of surface longwave radiation Use an empirical estimate of the clear-sky surface downward longwave radiation (SDLc) to estimate the.

Current Changes in the Global Water Cycle Richard P. Allan Department of Meteorology, University of Reading Thanks to Brian Soden, Viju John, William Ingram,

1 Evaluating water vapour in HadAM3 using 20 years of satellite data Richard Allan, Mark Ringer Met Office, Hadley Centre for Climate Prediction and Research.

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

NCAS-Climate Talk 15 th January 2010 Current Changes in the Global Water Cycle Richard P. Allan Diffusing slowly to Met Department/NCAS-Climate from ESSC.

Links Between Clear-sky Radiation, Water Vapour and the Hydrological Cycle Richard P. Allan 1, Viju O. John 2 1 Environmental Systems Science Centre, University.

Evaluating the Met Office global forecast model using Geostationary Earth Radiation Budget (GERB) data Richard Allan, Tony Slingo Environmental Systems.

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.

RMS 18 th June 2003 Evaluating moisture in the Hadley Centre Climate Model using 20 years of satellite data Richard Allan Environmental Systems Science.

Atmospheric clear-sky longwave radiative cooling and precipitation Richard Allan Environmental Systems Science Centre, University of Reading, UK.

Robin Hogan (with input from Anthony Illingworth, Keith Shine, Tony Slingo and Richard Allan) Clouds and climate.

ESSC Seminar, October 18, 2007© University of Reading 2007www.reading.ac.uk Intensification of the tropical hydrological cycle? Richard P. Allan Environmental.

Trends in Water Cycle meeting, Paris, November 2004 Cloud and water vapour variability: models, reanalyses and observations Richard P. Allan and Tony Slingo.

University of Reading 2007www.nerc-essc.ac.uk/~rpa Observed and simulated changes in water vapour, precipitation and the clear-sky.

© University of Reading Radiative effects of persistent aircraft contrails: a case study Richard Allan Environmental Systems.

1 03/0045a © Crown copyright Evaluating water vapour in HadAM3 with 20 years of satellite data Richard P. Allan Mark A. Ringer Met Office, Hadley Centre.

SYSTEMATIC BIASES 3-hourly comparisons of top of atmosphere radiation from GERB and the Met Office global forecast model Systematic biases in model fluxes.

Changes in Water Vapour, Clear-sky Radiative Cooling and Precipitation

IPCC Workshop on Climate Sensitivity, Paris, July 2004 Exploiting observations of water vapour to investigate simulations of water vapour feedback processes.

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.

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

University of Reading 2007www.nerc-essc.ac.uk/~rpa Surface radiative fluxes: comparison of NWP/Climate models/reanalyses with.

Clouds and radiation in a LSM L=50km. Veldhoven, Stratocumulus cloud albedo: example cloud layer depth = 400 m effective cloud droplet.

Page 1© Crown copyright Simulation of radar reflectivities in the UK Met Office model: comparison with CloudSat Data Alejandro Bodas-Salcedo, M.E. Brooks.

Combining satellite and surface observations to determine the radiative divergence across the atmosphere Tony Slingo Environmental Systems Science Centre.

The RADAGAST project Tony Slingo Environmental Systems Science Centre University of Reading Background and motivation Aims Methodology GIST 23, Deutscher.

Aerosol effect on cloud cover and cloud height Kaufman, Koren, Remer, Rosenfeld & Martins.

Radiative Properties of Eastern Pacific Stratocumulus Clouds Zack Pecenak Evan Greer Changfu Li.

Long-term analyses of surface shortwave irradiance, clouds and aerosols over China T. Hayasaka 1, K. Kawamoto 1, and G.Y. Shi 2 1.Research Institute for.

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.

1 Hadley Centre Using Earth radiation budget data for climate model evaluation Mark Ringer Hadley Centre, Met Office, UK GIST 19: Aug 27-29, 2003.

Dust Longwave Forcing from GERB and SEVIRI Vincent Gimbert, H.E. Brindley, J.E. Harries Imperial College London GIST 26, 03 May 2007, RAL, Abingdon Thanks.

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

The diurnal cycle in GERB data The diurnal cycle represents one of the most significant modes of atmospheric forcing OLR provides information about surface.

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.

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

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

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

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

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

Richard Allan and Tony Slingo (ESSC, University of Reading)

Radiative biases in Met Office global NWP model

Dust, vapour & cloud in greenhouse Earth

Eumetsat conference 2004, Praha

Observed and Simulated Decadal Variability in Clouds and Water Vapour Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading.

Richard Allan, Tony Slingo ESSC, Reading University

Richard Allan ESSC, Reading University Mark Ringer

Earth Radiation Budget: Insights from GERB and future perspectives

Richard Allan Department of Meteorology, University of Reading 1

Presentation transcript:

Comparisons between GERB and the Met Office NWP model Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading Sean Milton, Malcolm Brooks Met Office, Exeter Thanks to the GERB International Science Team

Sinergee project: GERB Model Harries et al. (2005) BAMS; Allan et al. (2005) JGR

Objectives Improve experience with satellite datasets including GERB Timely Model Evaluation –using geostationary data independent of the assimilation system Understanding of physical processes

ShortwaveLongwave Mean model bias: 2006 All-sky Clear-sky Allan et al. (2007) QJRMS

All-sky Clear-sky ShortwaveLongwave Marine stratocumulus Convective cloud Radiative biases in the Met Office global model Convective outflow Surface albedo

All-sky Clear-sky ShortwaveLongwave Mineral dust aerosol

Dust impact on longwave radiation Large perturbation to Met Office model OLR during summer over west Sahara –Consistent with high mineral dust aerosol optical depth (see also Haywood et al. 2005, JGR) –Used in planning of GERBILS Model minus GERB OLR: July 2006, UTC All-skyClear-skydust aerosol

CLEAR Model-GERB OLR difference time series 15 o W-5 o E, o N

Dust impact on longwave radiation Model minus GERB OLR: UTC All-skyClear-skydust aerosol June July 2006

19 June

21 June

Conclusions Model evaluation –Satellite data independent of assimilation system –Good feedback for modellers and satellite team –Identified biases relating to cloud and surface Mineral dust aerosol over Sahara –Monthly longwave radiative effect up to 50 Wm -2 –Large effect of single events (Slingo et al. 2006, GRL) –June : smaller dust events than previous years but detectable OLR bias

Marine Stratocumulus

Curious banding structure –Transition across model levels (see Lock et al. 2001, MWR) Cloud reflectivity bias –Model low-altitude stratiform clouds are too reflective

Cloud liquid water path Bias: model minus GERB; SSM/I; SEVIRI Albedo Liquid Water Path Cloud Reduction in model bias from June to July relates to cloud liquid water …but see also Horvath and Davies (2007) JGR

Convective cloud 5 th June 2006

Convective Decay Time-scale Unrealistically low levels of convective cloud On-off; common problem in models Simple fix…

Improved shortwave reflectivity

Increased convective cloud cover But is the physics any better? Future work: Comparisons with CloudSat