1 The Recycling Rate of Atmospheric Moisture Liming Li, Moustafa Chahine, Edward Olsen, Eric Fetzer, Luke Chen, Xun Jiang, and Yuk Yung NASA Sounding Science.

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Presentation transcript:

1 The Recycling Rate of Atmospheric Moisture Liming Li, Moustafa Chahine, Edward Olsen, Eric Fetzer, Luke Chen, Xun Jiang, and Yuk Yung NASA Sounding Science Meeting, April, 2010 Over the Past Two Decades ( )

2 Overview  Motivation  Data  Revisit Previous Studies  New Results  Conclusions

3 Motivation  Recycling rate (or residence time) of atmospheric moisture is an important index of climate change.  How does recycling rate change in response to global warming?

4 Background Definition (Chahine et al., 1997) ( Stephens and Ellis, 2008) > 0> 1or R: recycling rate; P: precipitation; W: column water vapor >when < < 0< 1or Some model studies suggest< 0< 1or A recent observational study ( Wentz et al., 2007 ) suggests > 0> 1or

5 GPCP (V2 and V2.1) 2.5º× 2.5º global monthly precipitation ( ) Data Sets NVAP 1º× 1º global monthly data ( ) AIRS (V5) 1º× 1º global monthly data ( ) NCEP2 2.5º× 2.5º global monthly atmospheric temperature (AT) ( ) NOAA 2º× 2º monthly sea surface temperature (SST) ( ) SSM/I (V5) 0.25º× 0.25º oceanic monthly precipitation ( )  Precipitation (P)  Column Water Vapor (W) SSM/I (V5) 0.25º× 0.25º oceanic monthly precipitation ( )  Temperature (AT and SST)

6 Revisit Previous Study (Precipitation) Based on the old version data sets ( GPCP V2 and SSM/I V4 ), ≥ 0≥ 1or Wentz et al. (2007) got ( ) (globe) = 1.4  0.5%/decade (ocean) = 1.2  0.4%/decade Examination with new version data sets ( GPCP V2.1 and SSM/I V5 ) 1.3  0.6%/decade 0.3  0.5%/decade  0.6%/decade GPCP V2 GPCP V2.1 + SSM/I V5 ? 0? 1or

7 Precipitation Over Ocean * High-quality data sets over ocean between 60  N and 60  S. * Coast regions are excluded from this study. 0.07±0.7%/decade GPCP V ±1.5%/decade SSM/I V5 0.13±0.6%/decade -0.4±0.9%/decade GPCP V2.1 SSM/I V5 * No significant trend in ocean-average precipitation during Raw Data Removing Nino 3.4 Index ENSO * Precipitation is correlated with ENSO signals.

8 Water Vapor Over Ocean Water vapor trend over ocean raw data 0.9±0.5%/decade remove ENSO1.0±0.4%/decade * A positive trend in ocean-average water vapor during ( per decade, roughly same as per decade during (Santer et al., 2007)).

9 Recycling Rate Over Ocean Trend of Recycling Rate (R) -0.9±0.7%/decade P (GPCP) / W (SSM/I) -1.4±1.3%/decade P (SSM/I) / W (SSM/I) -0.9±0.6%/decade -1.2±0.9%/decade P (GPCP) / W (SSM/I) P (SSM/I) / W (SSM/I) * A weak negative trend in ocean-average recycling rate, which means: < 0 Raw Data Removing ENSO

10 Spatial Pattern (Precipitation) * Positive trend in strong precipitation regions (ITCZ). * Negative trend in some weak precipitation regions. GPCP V2.1 PSSM/I V5 P Time-mean State Linear Trend

11 Spatial Pattern (Water Vapor) SSM/I V5 Water Vapor Time-mean State Linear Trend

12 Spatial Pattern (Recycling Rate) P (SSM/I) / W (SSM/I) P (GPCP) / W (SSM/I) * Positive trend in high recycling-rate areas over tropical ocean (ITCZ). Time-mean State Linear Trend

13 ITCZ Area (Definition) ITCZ Low Precipitation Area SSM/I V5 GPCP V2.1

14 ITCZ Area (Precipitation) ITCZ area: GPCP V2.1 Low-P area: 3.1±1.5%/decade SSM/I V5 2.5±1.6%/decade GPCP V ±4.5%/decade SSM/I V5 -7.7±5.6%/decade * Positive precipitation trend in ITCZ; Negative trend in low-P area. * Strong El Nino (97-98) critically affects precipitation. Precipitation TrendRaw DataRemoving ENSO

15 ITCZ Area (Water Vapor) Water Vapor Trend ITCZ: Low-P area: 1.5±0.6%/decade 0.6±0.6%/decade * Positive water-vapor trend in ITCZ area. * Strong El Nino events (i.e., ) affects water vapor in low-P areas.

16 ITCZ Area (Recycling Rate) Recycling Rate Trend ITCZ area: P(GPCP)/W(SSM/I) Low-P area: 1.7±1.1%/decade P(SSM/I)/W(SSM/I) 0.8±1.3%/decade -5.8±3.5%/decade -8.7±5.1%/decade P(GPCP)/W(SSM/I) P(SSM/I)/W(SSM/I) * Weak positive recycling-rate trend in ITCZ area and negative trend in low-P area. * Strong El Nino (i.e., ) affects tropical recycling rate. Raw Data Removing ENSO

17 Conclusions  New Precipitation (P) data suggest a much weaker trend. Lack of long-term continuous water-vapor (W) data over land make it hard to estimate global recycling rate.  Over the ocean, consistence between GPCP V2.1 and SSM/I V5 suggests a negative trend in spatial-average recycling rate (R).  However, positive trends of P, W, and R are detected in high-P area (ITCZ), and negative trends of P and R are detected in low-P area. It suggests that extreme weather intensified along global warming during the past two decades.  Strong El Nino (i.e., ) critically modify hydrological cycle over tropical region (need more observations).

18 Acknowledgement  SSM/I  GPCP (David Bolvin and Phillip Arkin)  NVAP (Janice Bytheway, Tomas Vonder Haar, and John Forsythe)  NCEP2 and NOAA