Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

36
Importance of the diurnal cycle of deep convection in understanding the role of Asian monsoon in the UTLS transport - perspective from multi-satellite observations Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

description

Importance of the diurnal cycle of deep convection in understanding the role of Asian monsoon in the UTLS transport - perspective from multi-satellite observations. Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010. Outline. - PowerPoint PPT Presentation

Transcript of Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Page 1: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Importance of the diurnal cycle of deep convection in understanding the role of Asian

monsoon in the UTLS transport

- perspective from multi-satellite observations

Chuntao Liu and Ed Zipser

Department of Atmospheric SciencesUniversity of Utah

Lhasa, July 2010

Page 2: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Outline

• What do different satellite observations tell us about the deep convection?

• Intense convection near tropopause (TRMM)• Diurnal variation of convection and clouds• Day vs. night ice cloud (CloudSat, TRMM VIRS)

thin ice Clouds (Calipso) water vapor near tropopause (MLS)• Conclusion

Page 3: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

What do different satellite observations tell us about the deep convection?

• TRMM PR• CloudSat CPR • Caliop• Infrared

• Microwave

Page 4: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Infrared TB < 210

K

TRMMPR 20 dBZat 14 km

Page 5: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Two types of deep convection

Liu and Zipser, 2007

Page 6: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Deep convection with large particles at 14 km from TRMM Precipitation Radar (PR)

Page 7: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Rainfall ≠ Deep convection (JJA)

Page 8: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Clouds from infrared images (TRMM VIRS JJA)cold cloud ≠ deep convective core

Page 9: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Diurnal variation of deep convection and cloudsTRMM PR 20 dBZ at 14 km TRMM VIRS infrared < 235 K

TRMM VIRS infrared < 210 K

Page 10: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

A-Train satellites sample time vs. diurnal cycles of deep convection

Liu et al., 2008, JGR

Page 11: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Clouds from CloudSat Profiling Radar (CPR)

Page 12: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 13: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Thin cloud day vs. night

Page 14: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Thin clouds from Calipso

Page 15: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Thin clouds over Asian day vs. night

Page 16: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Water vapor from ARUA MLS JJA 146 hPa

10% DiffDay vs. Night

Page 17: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Water vapor from ARUA MLS 100 hPa

5% DiffDay vs. Night

Page 18: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Day vs. Night Water vapor from ARUA MLS

Page 19: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Conclusions• TRMM observations show that there are strong diurnal cycles of

deep convection and cold cloud over land and over ocean during the Asian monsoon.

• CloudSat and Calipso show that there are large day vs. night differences in the clouds near tropopause (more clouds at the night time 1:30 AM over land)

• AURA MLS observations show that at 146 hPa, there are more water vapor at night time (1:30 AM) than the day time over land. This is almost direct opposite to the day vs. night differences of water vapor at 100 hPa.

• A-Train satellites observations show a strong diurnal variations of the cloud and the water vapor near the tropopause that might directly related to the UTLS exchange. However, more observations covering the diurnal cycles will be needed to fully understand the process.

Page 20: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 21: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

A conceptual model over land

Tropopause

Page 22: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 23: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 24: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Diurnal cycles of deep convection, lightning and clouds

Liu and Zipser, 2008, GRL

Page 25: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Rainfall ≠ Deep convectionseasonal variations

Page 26: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Tropopause NCEP and COSMIC

Page 27: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 28: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Tropopause from NCEP and COSMIC

Page 29: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010

Calipsolayer cloud

profiles

More cloud detected at the night time 1:30 AM is due to the higher signal/noise rate of Lidar at night.

Note that layer clouds over land develop higher than over ocean, there are many possible explanations: a) due to deep convection lifting and cooling; b) due to radiative cooling and growing of thin clouds. c) note that the mean tropopause height is higher over red region.

Page 30: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 31: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 32: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 33: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 34: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 35: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010
Page 36: Chuntao Liu and Ed Zipser Department of Atmospheric Sciences University of Utah Lhasa, July 2010