1
SST – precipitation relationship has a spatial variability, with a lag of about 5 days over the Arabian Sea 12 days over the Bay of Bengal and the South China Sea The lag analysis gives a quantifiable, linear SST-precipitation relation [Fig. 5] 1°C rise in SST -> 2 mm/day in rainfall Relationship holds for a changing climate [Fig.6] SST-precipitation relationship over the tropical monsoon region, in a changing climate M. Roxy Indian Institute of Tropical Meteorology, Pune, India email: [email protected] Abstract 1. Introduction Over the tropical oceans, SST above 26°C are generally accompanied by increased precipitation. However, it has been argued for the last 3 decades that, the increase in precipitation with respect to SST is limited to an upper thershold of 28-29°C, beyond which the relationship fails [1] [Fig.1]. - Mean SSTs over the monsoon basins are warmer than the thershold [Fig.2]. Does the classic relationship mean that SSTs do not play an active role on the summer monsoon variability? Does increasing SSTs due to a changing climate have any impact on the monsoon precipitation? - In the classic analysis without considering the lags, the relation has an upper threshold for Arabian Sea, while it is negative for the Bay of Bengal and the South China Sea. In the revised analysis with lags, precipitation increases with SST, over all the basins. 2. Why does SST-precipitation relationship need a revision? [i] Response of precipitation to SST has a lag. The response is fast over the Arabian Sea, with SST leading precipitation by 5 days, whereas it is slow over the Bay of Bengal and the South China Sea, where SST leads precipitation by 12 days [Fig. 3]. Earlier studies fail to consider this lag and its spatial variability. The spatial variability is due to stronger surface convergence over the Arabian Sea, which results in a faster uplift of the warm moist air, quickening the convective process [2] . [ii] Earlier studies utilized monthly data, but daily data is required, because: (a) the time lag observed is in ‘days’ (b) the time lag can be up to 2 weeks - SST change might be in one month but the corresponding change in precipitation might be next month. The classic relationship is based on large domains, like the global tropics, or the whole Indian Ocean. Averaging over large domains is not useful, as the monsoon intraseasonal variability over Arabian Sea and Bay of Bengal are at different phases at a time. Simultaneous analysis gives the effect of SST on precipitation and vice-versa, making it difficult to separate them. Hence, the lag and its spatial variability is considered in the current study, to revise the SST-precipitation relation [iii] [iv] 3. Classic v/s Revised SST-precipitation relationship 4. New perspective on the SST-precipitation relation [2] Simulated Data - NCEP CFSv2 Observed Data - TRMM Satellite Classic [Simultaneous analysis] Revised [Lag analysis] Classic [Simultaneous analysis] Revised [Lag analysis] - -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 -20 -15 -10 -5 0 5 10 15 20 Correlation : SST vs Precip. Precip. lags SST days Precip. leads SST AS BoB SCS Fig.3. SST - precipitation relation over monsoon basins Fig.4. Classic vs Revised analysis over the monsoon basins Fig.1. The classic SST - precipitation relationship, as in earlier studies, over the global tropical oceans Fig.2. Mean SSTs over Arabian Sea [AS], Bay of Bengal [BoB] and the South China Sea [SCS], during June-Sept 5 days 12 days SST [°C] Elevation [m] AS BoB SCS It was thought that the monotonous increase of precipitation with respect to sea surface temperature [SST] is limited to an upper threshold of 29°C, over the monsoon basins. The current study finds that there is no upper threshold, and that precipitation continues to increase, even at the highest possible SSTs over the tropical monsoon basins. This helps in quantifying the SST-precipitation relationship – a 1°C rise in SST corresponds to a 2 mm/day increase in precipitation. The quantification is useful in understanding the fate of the Asian monsoon in future climate scenarios, with warmer SSTs over the tropical oceans. 20 21 22 23 24 25 26 27 28 29 12 10 8 6 4 2 0 SST [°C] Precipitation [mm/day] 2xCO 2 simulations, lag analysis Fig.6. Future climate Fig.5. The revised SST - precipitation relationship References 1. Gadgil et al. Nature, 1984 2. M. Roxy, Climate Dynamics, 2013 Download Poster! Use your cell phone Q R Reader revised - NO threshold lag between SST & precipitation, with a spatial variability SST > 28 ° C [threshold] classic - threshold 20 21 22 23 24 25 26 27 28 29 30 31 12 10 8 6 4 2 0 SST [°C] Precipitation [mm/day] Asterix Comics. Reproduced with permission.

SST-precipitation relationship over the tropical monsoon region, … · 2013. 12. 10. · changing climate [Fig.6] SST-precipitation relationship over the tropical monsoon region,

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Page 1: SST-precipitation relationship over the tropical monsoon region, … · 2013. 12. 10. · changing climate [Fig.6] SST-precipitation relationship over the tropical monsoon region,

SST – precipitation relationship has a spatial variability, with a lag of about 5 days over the Arabian Sea 12 days over the Bay of Bengal and the South China Sea

The lag analysis gives a quantifiable, linear SST-precipitation relation [Fig. 5] 1°C rise in SST -> 2 mm/day in rainfall

Relationship holds for a changing climate [Fig.6]

SST-precipitation relationship over the tropical monsoon region,in a changing climateM. Roxy Indian Institute of Tropical Meteorology, Pune, India email: [email protected]

Abstract

1. IntroductionOver the tropical oceans, SST above 26°C are generally accompanied by increased precipitation. However, it has been argued for the last 3 decades that, the increase in precipitation with respect to SST is limited to an upper thershold of 28-29°C, beyond which the relationship fails [1] [Fig.1].

- Mean SSTs over the monsoon basins are warmer than the thershold [Fig.2]. Does the classic relationship mean that SSTs do not play an active role on the summer monsoon variability?Does increasing SSTs due to a changingclimate have any impact on the monsoonprecipitation?

-

In the classic analysis without considering the lags, the relation has an upper threshold for Arabian Sea, while it is negative for the Bay of Bengal and the South China Sea. In the revised analysis with lags, precipitation increases with SST, over all the basins.

2. Why does SST-precipitationrelationship need a revision?

[i] Response of precipitation to SST has a lag. The response is fast over theArabian Sea, with SST leading precipitation by 5 days, whereas it is slow over the Bay of Bengal and theSouth China Sea, where SST leads precipitation by 12 days [Fig. 3]. Earlier studies fail to consider this lag and its spatial variability. The spatial variability is due to stronger surface convergence over the Arabian Sea, which results in a faster uplift of the warm moist air, quickening the convective process [2].

[ii] Earlier studies utilized monthly data, but daily data is required, because:(a) the time lag observed is in ‘days’(b) the time lag can be up to 2 weeks - SST change might be in one month but the corresponding change in precipitation might be next month.

The classic relationship is based on large domains, like the global tropics, or the whole Indian Ocean. Averaging over large domains is not useful, as the monsoon intraseasonal variability over Arabian Sea and Bay of Bengal are at different phases at a time.

Simultaneous analysis gives the effect of SST on precipitation and vice-versa,making it difficult to separate them.

Hence, the lag and its spatial variabilityis considered in the current study, torevise the SST-precipitation relation

[iii]

[iv]

3. Classic v/s Revised SST-precipitation relationship

4. New perspective on theSST-precipitation relation [2]

Simulated Data - NCEP CFSv2

Observed Data - TRMM SatelliteClassic [Simultaneous analysis] Revised [Lag analysis]

Classic [Simultaneous analysis] Revised [Lag analysis]

-

-0.8-0.6-0.4-0.2

00.20.40.60.8

-20 -15 -10 -5 0 5 10 15 20Cor

rela

tion

: S

ST v

s Pr

ecip

.

Precip. lags SST days Precip. leads SST

AS

BoB

SCS

Fig.3. SST - precipitation relation over monsoon basins

Fig.4. Classic vs Revised analysis over the monsoon basins

Fig.1. The classic SST - precipitation relationship, as in earlier studies, over the global tropical oceans

Fig.2. Mean SSTs over Arabian Sea [AS], Bay of Bengal [BoB] and the South China Sea [SCS], during June-Sept

5 days12 days

SST [°C]

Elevation [m]

AS BoB SCS

It was thought that the monotonous increase of precipitation with respect to sea surfacetemperature [SST] is limited to an upper threshold of 29°C, over the monsoon basins. The current study finds that there is no upper threshold, and that precipitation continues to increase, even at the highest possible SSTs over the tropical monsoon basins. This helps in quantifying the SST-precipitation relationship – a 1°C rise in SST corresponds to a 2 mm/day increase in precipitation. The quantification is useful in understanding the fate of the Asian monsoon in future climate scenarios, with warmer SSTs over the tropical oceans.

20 21 22 23 24 25 26 27 28 29

12

10

8

6

4

2

0

SST [°C]

Prec

ipita

tion

[mm

/day

]

2xCO2 simulations, lag analysisFig.6. Future climate

Fig.5. The revised SST - precipitation relationship

References1. Gadgil et al. Nature, 19842. M. Roxy, Climate Dynamics, 2013

Download Poster!Use your cell phone QR Reader

revised - NO threshold

lag between SST & precipitation,with a spatial variability

SST > 28°C [threshold]

classic - threshold

20 21 22 23 24 25 26 27 28 29 30 31

12

10

8

6

4

2

0

SST [°C]

Prec

ipita

tion

[mm

/day

]

Asterix Comics. Reproduced with permission.