click to edit master title style timeseries of dynamical and precipitation indices black:...

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Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case running left to right. Dynamical indices other than DMI show poor predictability. AIR Webster-Yang DMI Goswami MHI Wang-Fan circulation

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Page 1: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleTimeseries of dynamical and precipitation indices

• Black: observations; RGB: ensemble members for each start date case running left to right.

• Dynamical indices other than DMI show poor predictability.

AIR Webster-Yang DMI

Goswami MHI

Wang-Fan circulation

Page 2: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleMean state representation #1 (precip,SST)

Obs Model

Model

Obs• Indian precipitation pattern ‘reasonable’.

• Clear westward bias in mean state SST (JJA): confined warm pool and extended cold tongue.

Page 3: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleMean state representation #2 (circulation)

Obs

Model

Obs

Model

• Trade winds too strong in the western Pacific in GloSea4.• Mean Walker circulation is not too bad although slight

westward bias (particularly in descending regions).

Page 4: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title style

• Initially, hindcast precipitation response over India does not look unreasonable.

• However, largest signals are west of the coast and over the Himalaya and may not be reflected in observed AIR.

• As we shall see, response in some individual cases is not ideal.

Regressions onto Niño-3 #1

Page 5: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleRegressions onto Niño-3 #2

Obs Obs

Model Model

• Evidence of westward bias of SST and perturbations to the large scale circulation.

Page 6: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

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• 1997 and 2002 chosen owing to their diversity and unusual effects on the monsoon (hence a tough test of the seasonal forecast model).

• 1997: large, east Pacific El Niño, normal monsoon (102% AIR).

• 2002: more moderate, central Pacific El Niño, monsoon drought (81% AIR).

Case studies for 1997 and 2002

Page 7: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleCase studies: 1997 (SST & vp200 anomalies)

Model

Obs

• Warm El Niño anomalies extend ~30° too far west.• Anomalous ascent over warm SST pushes into the Maritime

Continent, shifting anomalous subsidence west over India.

Page 8: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleCase studies: 2002 (SST & vp200 anomalies)

Model

Obs

• Warm El Niño anomalies again extend too far west.• Anomalous subsidence over Indian is shifted too far west, as

far as East Africa.

Page 9: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleCase studies: 2004. More unusual case of El Niño followed rapidly by small La Niña.

Anomalous ascent in East Pacific: responding to La Niña instead of El Niño!

Obs

Model

Page 10: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

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Clear but not unexpected improvement in mean state using June start.

1997 case study using different start dates (1 April, 1 May, 1 June)

Page 11: Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case

Click to edit Master title styleSummary

• While dynamical teleconnections are slightly better represented than AIR, this might reflect larger domain used; rainfall teleconnection is still poorly represented.

• Coupled biases are shown in mean state 850hPa wind (easterlies penetrate too far west) & SST (equatorial cold tongue extends too far west), known to be of detriment to teleconnection simulation in coupled models (Turner et al., 2005; Annamalai et al., 2007).

• SST biases develop rapidly in the equatorial Pacific following initialisation.

• Anomalous descent situated too far west in both 1997 and 2002 case studies.

• Future experiments: test sensitivity to mean state in these cases using wind stress corrections.