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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 for Climate Prediction and Research Thanks to Tony Slingo (ESSC) and John Edwards
2 03/0045 © Crown copyright Water vapour feedback RH distribution and variability crucial to water vapour and cloud feedback (e.g. Soden et al; Wielicki et al. (2002) Science) Importance of water vapour feedback –strong positive feedback –robust physical basis –links to cloud feedback Simulations of satellite UTH radiances to evaluate HadAM3
3 03/0045 © Crown copyright Satellite clear-sky sampling Model simulations: ERA-40 and CERES daily data (Jan 98)
4 03/0045 © Crown copyright Sensitivity to clear-sky sampling Jan 1998 T_6.7 bias (K) OLRc bias (Wm-2)
5 03/0045 © Crown copyright Experiment Ensemble of AMIP-type HadAM3 runs –Standard resolution, 19 levels, 1978-1999 –HadISST SST/sea-ice forcing –Radiance code active each rad-time-step –(see Ringer et al. (2003) QJ, in press) –Additional forcings
6 03/0045 © Crown copyright Observations Satellite observations –column water vapour, CWV »SMMR 1979-84, SSM/I 1987-99 –clear-sky OLR »ERBS (1985-89), ScaRaB (1994/5), CERES (1998) –UTH channel brightness temperature, T 6.7 »HIRS 1979-1998 rms bias ~2.5 kg m -2 ~5 W m -2 ~1.5 K
7 03/0045 © Crown copyright Mean and difference to observations 60 o S-60 o N oceans
8 03/0045 © Crown copyright T 6.7 (K) (mb/day) OLRc (W m -2 ) CWV (kg m -2 )
9 03/0045 © Crown copyright Column Water Vapour difference (kg m -2 HadAM3-OBS) DJF JJA
10 03/0045 © Crown copyright Effects of clear-sky sampling Type II HadAM3-OBS (JJA) Type I T 6.7 c OLRc
11 03/0045 © Crown copyright EOF analysis of HadAM3 and HIRS channel 12 T_6.7 radiances
12 03/0045 © Crown copyright Interannual monthly anomalies over the tropical oceans Reduce effects of local changes in atmospheric circulation Maximise reliability of satellite data Also additional forcings considered
13 03/0045 © Crown copyright
14 03/0045 © Crown copyright
15 03/0045 © Crown copyright Clear-sky sampling: interannual variability Light blue: Type I (weighted by clear-sky fraction) Dark Blue: Type II (standard diagnostic)
16 03/0045 © Crown copyright Summary Simulations of satellite brightness temperatures sensitive to RH Consistent decadal variability suggests small DRH realistic Clear-sky sampling is important for infrared channel climatologies but not interannual variability Overactive circulation in HadAM3 Limitations of data
17 03/0045a © Crown copyright Visit the Met Office at booth 145
WGCM CFMIP/IPCC Climate Sensitivity Meeting, Exeter, April 2004 Decadal Variability in Water Vapour Richard Allan, Tony Slingo Environmental Systems Science.
SW o SOLAR LW o OLR. SW response T response ScaRaB = SW and LW broadband radiometer measuring the whole spectral ranges of the solar reflected radiation.
© Crown copyright 2006Page 1 CFMIP II sensitivity experiments Mark Webb (Met Office Hadley Centre) Johannes Quaas (MPI) Tomoo Ogura (NIES) With thanks.
Page 1© Crown copyright 2007 CFMIP2: Options for SST-forced and slab experiments Mark Ringer, Brian Soden Hadley Centre,UK & RSMA/MPO, US CFMIP/ENSEMBLES.
© Crown copyright 2006Page 1 CFMIP II Plans Mark Webb (Met Office Hadley Centre) Sandrine Bony (IPSL) Rob Colman (BMRC) with help from many others… CFMIP/ENSEMBLES.
1 Chapter 40 - Physiology and Pathophysiology of Diuretic Action Copyright © 2013 Elsevier Inc. All rights reserved.
Page 1© Crown copyright 2004 Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre Presenter: Richard Graham ECMWF.
User experience with extended range forecasts -- climatic aspects of ECMWF products Christof Appenzeller Wolfgang Müller Heike Kunz Mark Liniger ERA-40.
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MULTIPLYING MONOMIALS TIMES POLYNOMIALS (DISTRIBUTIVE PROPERTY)
MULTIPLICATION EQUATIONS 1. SOLVE FOR X 3. WHAT EVER YOU DO TO ONE SIDE YOU HAVE TO DO TO THE OTHER 2. DIVIDE BY THE NUMBER IN FRONT OF THE VARIABLE.
MULT. INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
Year 6 mental test 10 second questions Numbers and number system Numbers and the number system, fractions, decimals, proportion & probability.
© University of Reading Richard Allan Department of Meteorology, University of Reading Thanks to: Jim Haywood and Malcolm.
© 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.
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