diagnostics of the nature run by ecmwf periodmay1, 2005-may31, 2006 resolution: t511 91 levels
DESCRIPTION
Diagnostics of the Nature run By ECMWF PeriodMay1, 2005-May31, 2006 Resolution: T511 91 levels Model: IFS cy31r1 November 16, 2006. Cyclone tracs in the Nature run Thoman Jung, ECMWF. Annual total cyclone track. June. August. September. July. October. December. November. - PowerPoint PPT PresentationTRANSCRIPT
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Diagnostics of the Nature runBy ECMWF
PeriodMay1, 2005-May31, 2006Resolution: T511 91 levels
Model: IFS cy31r1
November 16, 2006
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Annual total cyclone track
Cyclone tracs in the Nature runThoman Jung, ECMWF
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June
July
August
September
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October
November
December
January
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February
March
April
May
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Comparison between the ECMWF T511 Nature Run against climatology.
20050601-20060531, exp=eskb, cycle=31r1
Adrian Tompkins, ECMWF
TechMemo 452 Tompkins et al. (2004) http://www.emc.ncep.noaa.gov/research/osse/NR/ECMWF_T511_diag/ tm452.pdfJung et al. (2005) TechMemo 471http://www.emc.ncep.noaa.gov/research/osse/NR/ECMWF_T511_diag/tm471.pdfYearly, quarterly and monthly mean files are also posted athttp://www.emc.ncep.noaa.gov/research/osse/NR/ECMWF_NR_Diag/ECMWF_T511_diag
The description of the datahttp://www.emc.ncep.noaa.gov/research/osse/NR/ECMWF_T511_diag/climplot_README.html
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SSMI 10m wind Quickscat SFC wind
- Quikscat does not provide winds in rainy areas- Shows known bias in the W Pacific. Model winds are too low indeep convective areas.
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SSMIJJA DJFSON MAM
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QuickscatJJA DJFSON MAM
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Ice Water TOA LW NR-CERES TOA LWCFTop of the atmosphere long-wave cloud forcing
- the NOAA product is only for thin cirrus clouds, with a narrow optical septh range, which makes the comparison unreliable
- Shows lack of deep convection over the tropical land masses. This agrees with evidence from other data sets. Also agrees with earliercomparisons with ERBE data. A long-standing bias that has improved withrecent model changes, but require further attention.
- No product where continually cloudy.- Proves that the IR biases in net radiation are due to clouds.
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- This is now dramatically improved compared to earlier cycle of the model, and compared to ERA-40 (for example). - Still small problem in the stratocumulus regions close to the coasts, despite of recent improvements.
**Top of the atmosphere short-wave cloud forcing**Top of the atmosphere short-wave radiation
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**Liquid water pathTrmm and SSMI- This is now much better in the trade cumulus regions, than in previous model cycles.- Clear underestimation in western Pacific
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**Total-column water vaporTRMM and SSMI- Remarkable agreement in the extra-tropics. Underestimation in the ITCZ.
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**Total precipitation, against
GPCP, SSMI, and XieArkin
TRMM, NASDA and RSS
- These comparisons confirm the lack of rainfall over the tropical land masses.- We have an overestimation of precip over the high-SST regions in the tropics.- There is a tendency for deep convection to become locked in with the highest SSTs, which in the east Pacific results in a narrow ITCZ- The TRMM NASDA-3b43 algorithm is presumed to be the most accurate of the two TRMM retrieval products.
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SfcfluxAnomalyESKBTop: Latent, Net Bottom: Sensible solar,infrared
- Surface fluxes observations are indirect measurements and are less reliable on a month-by-month basis. Ask Anton Beljaars.
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TCC
ICCP MODIS
- This has improved greatly in recent cycles of the model. In particular, the stratocumulus regions have improved.- The apparent underestimation relative to ISCCP over the Sahara is because this product is thought to overestimate cloud cover there. MODIS shows betteragreement with the model over the deserts.- The MODIS product over sea ice is unreliable