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Seasonal variation of the errors in an objective analysis o Seasonal variation of the errors in an objective analysis o

Seasonal variation of the errors in an objective analysis o - PowerPoint Presentation

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Seasonal variation of the errors in an objective analysis o - PPT Presentation

Miki Hattori 1 Qoosaku Moteki 1 Jun Matsumoto 1 2 Hironari Kanamori 2 and Joji Watanabe 2 1 IORGCJAMSTEC 2 Department of Geography Tokyo Metropolitan University ALERA dataset ID: 442515

analysis monsoon summer winter monsoon analysis winter summer northeasterly vietnam error westerly seasonal variation ensemble precipitation area dataset afes

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Slide1

Seasonal variation of the errors in an objective analysis over Vietnam area

Miki Hattori

1

,

Qoosaku

Moteki

1

, Jun Matsumoto

1, 2

,

Hironari

Kanamori

2

and

Joji

Watanabe

2

1

IORGC/JAMSTEC

2

Department of Geography, Tokyo Metropolitan University Slide2

ALERA dataset(AFES-LETKF experimental ensemble reanalysis dataset)

generated by analysis cycles using a system composed of 40-memer ensemble forecast with AGCM for the Earth Simulator (AFES,

Ofuchi

et al. 2004

) at T159/L48 resolution.

Observational data excluding satellite radiances are assimilated using the local ensemble transform

Kalman

filter (LETKF,

Miyoshi and Yamane, 2007

).

provides analysis value (ensemble mean) and error value (ensemble spread) at each grid point.Slide3

ALERA dataset(AFES-LETKF experimental ensemble reanalysis dataset)

Variables: Winds (u, v m/s), temperature (T K), dew point

depression (T-Td K),

geopotential

height (z m) and

sea-level pressure (

slp

hPa

)

Levels: 1000, 925, 850, 700, 600, 500, 400, 300, 250, 200,

150, 100, 70, 50, 30, 20, 10 (17 levels)

Horizontal resolution: 1.25°×1.25° (288×145 points)

From 1 May 2005 to 10 Jan 2007

Original 6 hourly snapshots and daily-, pentad- and

monthly-means

(http://www.jamstec.go.jp/esc/afes/)Slide4

Vietnam

Main rainy season is Sep.-Oct. in the east coastal area

Precipitation maximum also appear in summer in the inland areas

Vietnam area strongly dominated by both the summer westerly monsoon and the winter northeasterly monsoonSlide5

Objective

seasonal variation of the errors in an objective analysis (ALERA dataset) over Vietnam area.

The variation of analysis error related to the summer and winter monsoon flows and precipitation over Vietnam area.Slide6

Seasonal variatio

n of the synoptic atmospheric field

winter northeasterly monsoon

summer westerly monsoonSlide7

Seasonal variation of the analysis error

of zonal wind speed

summer westerly monsoon

winter northeasterly monsoonSlide8

30-day running mean

in the southern Vietnam (10-15

°

N, 107.5-110

°

E)

(m/s)

Seasonal variation of the a

nalysis error

of zonal wind speed

summer westerly monsoon

winter northeasterly monsoon

winter northeasterly monsoon

contour: U

(m/s)

Intensive observation in the summer is more effectiveSlide9

Seasonal variation of the

precipitation in 2006

summer westerly monsoon

winter northeasterly monsoon

winter northeasterly monsoonSlide10

Seasonal variation of the analysis error of zonal wind speed

summer westerly monsoon

winter northeasterly monsoon

winter northeasterly monsoon

the analysis error is followed by the precipitation peak

Improvement of the accuracy of zonal wind affects to the analysis and forecast of the precipitation effectively Slide11

Through the year, the accuracy of the objective analysis over the northern Vietnam is significantly higher than that over the southern Vietnam.

The error of the summer westerly monsoon is larger than that of the winter northeasterly monsoon.

The analysis (forecast) of the summer westerly monsoon in subtropics is more difficult than that of the winter northeasterly monsoon originating from the mid-latitudes

The analysis error in the southern Vietnam (south of 15N) increases especially in June and September in 2006.

SummarySlide12

Accordingly, it is suggested that adding observations in the

middle and lower layers

in

boreal summer

over the

southern Vietnam

are more effective in the consideration of the future operational observation strategy.

SummarySlide13

Precipitation at

the observational

Station