Precipitation efficiency and its dependence on physical factors A look into the cloud response to climate warming Chung-Hsiung Sui 1 Institute of Hydrological.

Slides:



Advertisements
Similar presentations
© University of Reading Chapman Conference on Atmospheric Water Vapor and Its Role in Climate Tropospheric Water Vapour and.
Advertisements

University of Reading 2007www.nerc-essc.ac.uk/~rpa Monitoring satellite observations and model simulations of changes in the atmospheric.
© University of Reading 2009 EUMETSAT Monitoring changes in precipitation and radiative energy using satellite data and.
Changes in Water Vapour, Clear-sky Radiative Cooling and Precipitation
Observed temperature dependence of precipitation extremes: comparison to results of climate models and reanalyses of NCEP and ECMWF Shaw Chen Liu Research.
1 Trend and Year-to-year Variability of Land-Surface Air Temperature and Land-only Precipitation Simulated by the JMA AGCM By Shoji KUSUNOKI, Keiichi MATSUMARU,
Climate Change: Science and Modeling John Paul Gonzales Project GUTS Teacher PD 6 January 2011.
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Projections of Future Atlantic Hurricane Activity Hurricane Katrina, Aug GFDL model simulation of Atlantic hurricane activity Tom Knutson NOAA /
Observed Reductions of Surface Solar Radiation at Sites in the United States and Worldwide from 1961 to 1990 Beate Liepert Lamont-Doherty Earth Observatory.
Menglin Jin Department of Atmospheric & Oceanic Science University of Maryland, College park Observed Land Impacts on Clouds, Water Vapor, and Rainfall.
Richard P. Allan 1 | Brian J. Soden 2 | Viju O. John 3 | Igor I. Zveryaev 4 Department of Meteorology Click to edit Master title style Water Vapour (%)
Tropical Cyclones and Climate Change – PhD Project Results from HiGEM High Resolution Climate Model Ray Bell Supervisors – Prof. Pier Luigi Vidale, Dr.
Consequences of Global climate Change. Impact of Global Warming Sea level rising Altered precipitation pattern Change in soil moisture content Increase.
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.
Impacts of Climate Change on Physical Systems PPT
May 2007 vegetation Kevin E Trenberth NCAR Kevin E Trenberth NCAR Weather and climate in the 21 st Century: What do we know? What don’t we know?
Climate and Food Security Thank you to the Yaqui Valley and Indonesian Food Security Teams at Stanford 1.Seasonal Climate Forecasts 2.Natural cycles of.
Protecting our Health from Climate Change: a Training Course for Public Health Professionals Chapter 2: Weather, Climate, Climate Variability, and Climate.
The water holding capacity of the Earth’s atmosphere is governed by the Clausius-Clapeyron (CC) Law which states that there is approximately a 7% increase.
(Mt/Ag/EnSc/EnSt 404/504 - Global Change) Observed Surface & Atmosphere (from IPCC WG-I, Chapter 3) Observed Changes in Surface and Atmosphere Climate.
Climate Change. Climate Change Background   The earth has been in a warming trend for the past few centuries   Mainly due to the increase in greenhouse.
Monitoring of the Global Surface Climate Ayako Takeuchi Climate Prediction Division, JMA.
ISCCP at 30, April 2013 Concurrent Study of a) 22 – year reanalysis and extension of global water vapor over both land and ocean (NVAP–M) and b) the matching.
Tropical Cyclones and Climate Change: An Assessment WMO Expert Team on Climate Change Impacts on Tropical Cyclones February 2010 World Weather Research.
Drivers of multidecadal variability in JJA ozone concentrations in the eastern United States Lu Shen, Loretta J. Mickley School of Engineering and Applied.
Current status of AMSR-E data utilization in JMA/NWP Masahiro KAZUMORI Numerical Prediction Division Japan Meteorological Agency July 2008 Joint.
Numerical modelling of possible catastrophic climate changes E.V. Volodin, N. A. Diansky, V.Ya. Galin, V.P. Dymnikov, V.N. Lykossov Institute of Numerical.
Oceans and Weather 8.10C.
Projecting changes in climate and sea level Thomas Stocker Climate and Environmental Physics, Physics Institute, University of Bern Jonathan Gregory Walker.
Hurricane-Climate Research of Relevance to RPSEA NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this.
Climate Change and Extreme Weather: IPCC Findings by: Yap Kok Seng Malaysian Meteorological Department Ministry of Science, Technology and Innovation National.
Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Ocean-Atmosphere Interaction. Review of last lecture Large spread in projected temperature change comes from uncertainties in climate feedbacks Main climate.
Matthew Miller and Sandra Yuter Department of Marine, Earth, and Atmospheric Sciences North Carolina State University Raleigh, NC USA Phantom Precipitation.
The Relation Between SST, Clouds, Precipitation and Wave Structures Across the Equatorial Pacific Anita D. Rapp and Chris Kummerow 14 July 2008 AMSR Science.
Science Weather Review
Atmospheric Hydrological Cycle in the Tropics in Twentieth Century Coupled Climate Simulations Hailan Wang and William Lau Laboratory for Atmospheres,
Thomas R. Karl Director, National Climatic Data Center, NOAA Editor, Journal of Climate, Climatic Change & IPCC Climate Monitoring Panel Paul D. Try, Moderator.
On the Definition of Precipitation Efficiency Sui, C.-H., X. Li, and M.-J. Yang, 2007: On the definition of precipitation efficiency. J. Atmos. Sci., 64,
A Cloud Resolving Modeling Study of Tropical Convective and Stratiform Clouds C.-H. Sui and Xiaofan Li.
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
The lower boundary condition of the atmosphere, such as SST, soil moisture and snow cover often have a longer memory than weather itself. Land surface.
NARCCAP WRF Simulations L. Ruby Leung Pacific Northwest National Laboratory NARCCAP Users Meeting February , 2008 Boulder, CO.
The NTU-GCM'S AMIP Simulation of the Precipitation over Taiwan Area Wen-Shung Kau 1, Yu-Jen Sue 1 and Chih-Hua Tsou 2 1 Department of Atmospheric Sciences.
Active/Passive Microwave Observations Provide Essential Climate Variables for Studying Hydrologic Cycle Probably the Greatest Consequences of Our Warming.
Reconciling droughts and landfalling tropical cyclones in the southeastern US Vasu Misra and Satish Bastola Appeared in 2015 in Clim. Dyn.
Surface Net SW Radiation Latitude Clouds Albedo Source Reanalysis for
Remote sensing and modeling of cloud contents and precipitation efficiency Chung-Hsiung Sui Institute of Hydrological Sciences National Central University.
Analysis and modelling of the 2010 Pakistan heavy precipitation events Milind Mujumdar Centre for Climate Change Research (CCCR), Indian Institute of Tropical.
Wide Band Power and Harmonic Amplitude of Precipitation Alex Ruane John Roads Scripps Institution of Oceanography / UCSD Ramat Gan, Israel: July, 2006.
NAME SWG th Annual NOAA Climate Diagnostics and Prediction Workshop State College, Pennsylvania Oct. 28, 2005.
Global Warming Causes&Effects. Natural cause Greenhouse gas.
A modeling study of cloud microphysics: Part I: Effects of Hydrometeor Convergence on Precipitation Efficiency. C.-H. Sui and Xiaofan Li.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Passive Microwave Remote Sensing
Sensitivity of precipitation extremes to ENSO variability
Soo-Hyun Yoo and Pingping Xie
Validation of GCM, and the need of High resolution atmospheric and hydrological model Vicente Barros and Mariano Re San José de Costa Rica 28 May 2003.
Global hydrological forcing: current understanding
PI: R. Adler (NASA/GSFC) Co-I’s: G. Huffman, G. Gu, S.Curtis
Current global and regional changes in atmospheric water vapour
Introduction to Meteorology
Twentieth Century & Future Trends.
Climate sensitivity of the CCM3 to horizontal resolution and interannual variability of simulated tropical cyclones J. Tsutsui, K. Nishizawa,H. Kitabata,
PI: R. Adler (NASA/GSFC) Co-I’s: G. Huffman, G. Gu, S.Curtis
Cloud trends from GOME, SCIAMACHY and OMI
Presentation transcript:

Precipitation efficiency and its dependence on physical factors A look into the cloud response to climate warming Chung-Hsiung Sui 1 Institute of Hydrological and Oceanic Sciences, 2 Department of Atmospheric Sciences, National Central University, Taiwan

How do tropical clouds/rain change in response to climate warming ? Global warming scenario Natural climate change Equilibrium convective- radiative response SST L-S Ocean- atmospheric circulation Thermostat hypothesis iris hypothesis GCM modeling CRM experiments

How do tropical clouds/rain change in response to climate warming ? 1. A drying trend in the subtropics and reduction in tropical cloudiness [e.g. Schroeder and McGuirk, 1998; Bates and Jackson, 2001], increase in OLR (Weilicki et al. 2002). 2. A possible increase in precipitation over tropical oceans but reduction over tropical land (Kumar et al. 2003, Wang and Ding 2006), confirmed by model (Bosilovich et al. 2005) 3. Warm clouds vs cold clouds? 4. Extreme weather events ?

Lau and Wu (2007) CMAP (thin line) GPCP (thick line) Annual heavy rain (top 10% rainrate) Annual light rain (bottom 5% rainrate) CMAP GPCP Cumulative rain (mm) Pentad, tropical mean rainfall linear trend in tropical rain as a function of rain rate linear trend in tropical rain FOC as a function of rain rate GPCP (solid bar) CMAP (outlined bar) How do warm clouds change in climate warming?

How do extreme weather events react to climate warming ? Webster et al. 2005, Emanuel 2005, …. Increasing tropical SST and measures of TC activity have been reported to be strongly correlated since at least 1950.

Knutson et al. 2007: Simulated reduction in Atlantic hurricane frequency under 21st-century warming conditions Atlantic hurricane and tropical storm frequencies are reduced. At the same time, near-storm rainfall rates increase substantially. Obs. Control Exp warm climate Exp a. tropical storms b. hurricanes c. major hurricanes c (Pc< 965 hPa)

How do warm and cold clouds/rain change in response to climate warming? Does its precipitation efficiency increase ?  Ambiguity in defining warm clouds/rain,  Lack of long record,  Need a more complete set of definition Application to estimate PE of clouds in the tropics as a function of sea surface temperature (for studying the response of tropical water cycle to climate warming)

PE based on conservation of cloud water SI qv = [P CND ]+[P DEP ]+ [P SDEP ]+[P GDEP ] SO qv = [P REVP ]+[P MLTG ]+ [P MLTS ] [  t q C ]  [CONV C ] local stotorage  t q C

      Cloud W.V. + cloud PE

An estimate of LSPE based on available data NCEP reanalysis at 6 hour and 2.5 o x2.5 o resolution and interpolated to 1 o x1 o grids JMA-25 reanalysis (Onogi et al. 2007; Hatsushika et al. 2006, Takahashi et al. 2006) at 6 hour and 1.25 o x1.25 o resolution and interpolated to 1 o x1 o grids

GPCPTMI3B42R2 Surface Grid360 x x x x 94 Spatial resolution 1º x 1º0.25º x 0.25º 1.875º x Gausian Temporal coverage 1997/01 ~ 2007/ /12 ~ now 1998/01 ~ 2008/ /01 ~ now Temporal resolution 1 dy12 hr3 hr6 hr First point0.5, , , , Unitmm/daymm/hr An estimate of LSPE based on available data Precipitation data (averaged to 1 o x1 o grids)

Conv -tqv-tqv

EsEs Total P s sources

Types< to 0.4> 0.4 downward upward Freq.84 %12 %4 %60 %40 % Precipitation Range (mm/hr) ω 500 How to define warm clouds 1.Based on satellite data like TRMM retrieved cloud water content, SST, ….. (e.g. Lau and Wu) 2.This study

S = water source P PE = P/S P > 0.4 mm/hr 0.1 < P < 0.4 P < 0.1

RR < < RR < 0.4 RR > 0.4

Discussion 1.A more complete set of PE is defined for studying cloud response to climate warming 2. One hypothesis: the change of warm clouds affect cold clouds (Lau and Wu 2007) 3. Another hypothesis is possible