Comparison of Satellite and Model-Based Heating Distributions

Slides:



Advertisements
Similar presentations
The Original TRMM Science Objectives An assessment 15 years after launch Christian Kummerow Colorado State University 4 th International TRMM/GPM Science.
Advertisements

Observed temperature dependence of precipitation extremes: comparison to results of climate models and reanalyses of NCEP and ECMWF Shaw Chen Liu Research.
A Microwave Retrieval Algorithm of Above-Cloud Electric Fields Michael J. Peterson The University of Utah Chuntao Liu Texas A & M University – Corpus Christi.
Process-oriented MJO Simulation Diagnostic: Moisture Sensitivity of Simulated Convection Daehyun Kim 1, Prince Xavier 2, Eric Maloney 3, Matthew Wheeler.
1 CODATA 2006 October 23-25, 2006, Beijing Cryospheric Data Assimilation An Integrated Approach for Generating Consistent Cryosphere Data Set Xin Li World.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
MICROWAVE RAINFALL RETRIEVALS AND VALIDATIONS R.M. GAIROLA, S. POHREL & A.K. VARMA OSD/MOG SAC/ISRO AHMEDABAD.
Vertical cloud structures of the boreal summer intraseasonal variability based on CloudSat observations and ERA-interim reanalysis Speaker : Li-Chiang.
Figure 3. The MJO-related vertical structures of MACC CO. CO are averaged between 15ºN – 15ºS. Rainfall is averaged between 5ºN – 5ºS. ABSTRACT. We report.
CO 2 in the middle troposphere Chang-Yu Ting 1, Mao-Chang Liang 1, Xun Jiang 2, and Yuk L. Yung 3 ¤ Abstract Measurements of CO 2 in the middle troposphere.
Applying AIRS Hyperspectral Infra-red Data to Cloud and Greenhouse Gas Studies of Climate King-Fai Li, Run-Lie Shia and Yung L Yung Division of Geological.
Passive Microwave Rain Rate Remote Sensing Christopher D. Elvidge, Ph.D. NOAA-NESDIS National Geophysical Data Center E/GC2 325 Broadway, Boulder, Colorado.
Tropical Mid-Tropospheric CO 2 Variability driven by the Madden-Julian Oscillation King-Fai Li 1, Baijun Tian 2, Duane E. Waliser 2, Yuk L. Yung 1 1 California.
Using Scatterometers and Radiometers to Estimate Ocean Wind Speeds and Latent Heat Flux Presented by: Brad Matichak April 30, 2008 Based on an article.
Contrasting Tropical Rainfall Regimes Using TRMM and Ground-Based Polarimetric Radar by S. A. Rutledge, R. Cifelli, T. Lang and S. W. Nesbitt EGU 2009.
Lesson: Observing Monsoon Weather Patterns with TRMM Data
Simultaneous Presence of 30 and 60 days ISO modes in Indian Summer Monsoon Observed from TRMM Merged Rainfall Data M S Narayanan National Atmospheric Research.
The NEWS Atmospheric Diabatic Heating Profile Product  A ten year dataset of clouds, rainfall, and atmospheric heating between 40°N and 40°S has been.
Understanding the effects of aerosols on deep convective clouds Eric Wilcox, Desert Research Institute, Reno NV Tianle.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California Atmospheric Infrared Sounder.
Predictability of Tropical Intrasesonal Variability (ISV) in the ISV Hindcast Experiment (ISVHE) 1 Joint Institute for Regional Earth System Sci. & Engineering.
The fear of the LORD is the beginning of wisdom 陳登舜 ATM NCU Group Meeting REFERENCE : Liu., H., J. Anderson, and Y.-H. Kuo, 2012: Improved analyses.
MJO Task Force: Summary of activities and accomplishments Co-chairs: Matthew Wheeler (CAWCR/Bureau of Meteorology/Australia) and Eric Maloney (Colorado.
Introduction to NASA Water Products Rain, Snow, Soil Moisture, Ground Water, Evapotranspiration NASA Remote Sensing Training Norman, Oklahoma, June 19-20,
USE OF PRECIPITATION INFORMATION FROM SPACEBORNE RADAR FOR VERIFICATION AND ASSIMILATION IN THE ECMWF MODEL A.Benedetti, P. Lopez, E. Moreau, P. Bauer,
Predictability and Model Verification of the Water and Energy Cycles: Linking Local, Regional and Global Scales Principal Investigator: Duane Waliser Updated:
Upper ocean heat budget in the southeast Pacific stratus cloud region using eddy-resolving HYCOM Yangxing Zheng (University of Colorado) Toshi Shinoda.
Application of in situ Observations to Current Satellite-Derived Sea Surface Temperature Products Gary A. Wick NOAA Earth System Research Laboratory With.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Assessing Heating in Climate Models  Top: Atmospheric diabatic heating estimates from the TRMM satellite quantify the response of regional energy budgets.
Dynamical MJO Hindcast Experiments: Sensitivity to Initial Conditions and Air-Sea Coupling Yehui Chang, Siegfried Schubert, Max Suarez Global Modeling.
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Radiative Impacts of Cirrus on the Properties of Marine Stratocumulus M. Christensen 1,2, G. Carrió 1, G. Stephens 2, W. Cotton 1 Department of Atmospheric.
A Global Rainfall Validation Strategy Wesley Berg, Christian Kummerow, and Tristan L’Ecuyer Colorado State University.
CRL’s Planned Contribution to GPM Harunobu Masuko and Toshio Iguchi Applied Research and Standards Division Communications Research Laboratory 4-2-1, Nukkui-kita-machi,
TRMM TMI Rainfall Retrieval Algorithm C. Kummerow Colorado State University 2nd IPWG Meeting Monterey, CA. 25 Oct Towards a parametric algorithm.
UTLS Workshop Boulder, Colorado October , 2009 UTLS Workshop Boulder, Colorado October , 2009 Characterizing the Seasonal Variation in Position.
An Overview of Satellite Rainfall Estimation for Flash Flood Monitoring Timothy Love NOAA Climate Prediction Center with USAID- FEWS-NET, MFEWS, AFN Presented.
Infrared and Microwave Remote Sensing of Sea Surface Temperature Gary A. Wick NOAA Environmental Technology Laboratory January 14, 2004.
NOAA Environmental Technology Laboratory Gary A. Wick Observed Differences Between Infrared and Microwave Products Detailed comparisons between infrared.
MODIS Near-IR Water Vapor and Cirrus Reflectance Algorithms & Recent Updates for Collection 5 Bo-Cai Gao Remote Sensing Division, Code 7232, Naval Research.
November 28, 2006 Derivation and Evaluation of Multi- Sensor SST Error Characteristics Gary Wick 1 and Sandra Castro 2 1 NOAA Earth System Research Laboratory.
Figure 3. Overview of system architecture for RCMES. A Regional Climate Model Evaluation System based on Satellite and other Observations Peter Lean 1.
1. Session Goals 2 __________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK Become familiar with the available data sources for.
1. Session Goals 2 __________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK Understand use of the terms climatology and variability.
NASA, CGMS-44, 7 June 2016 Coordination Group for Meteorological Satellites - CGMS SURFACE PRESSURE MEASUREMENTS FROM THE ORBITING CARBON OBSERVATORY-2.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California
1 MODIS winds assimilation experiments and impact studies to date at the Met Office Howard Berger, Mary Forsythe, Met Office, Bracknell/Exeter, UK UW-CIMSS.
Satellite Meteorology Laboratory (METSAT) 위성관측에서 본 한반도 강수 메카니즘의 특성 서울대학교 지구환경과학부 손병주, 유근혁, 송환진.
Principal Investigator: Eni G. Njoku
1. Analysis and Reanalysis Products
Microwave Assimilation in Tropical Cyclones
SOLab work description
Dynamics in Earth’s Atmosphere
Surface Pressure Measurements from the NASA Orbiting Carbon Observatory-2 (OCO-2) Presented to CGMS-43 Working Group II, agenda item WGII/10 David Crisp.
National Aeronautics and Space Administration
WEATHER Unit 1b.
Reanalyzed Clouds, Precipitation, TOA and Surface Radiation Budgets: A Global Satellite Comparison and a Regional Study at Two ARM Locations Erica Dolinar,
Project Title: NEWS Science Integration Team PI: William B
C. Prigent and F. Aires (Estellus + Observatoire de Paris )
Welcome to The Third Workshop of the
Precipitation and Latent Heating Estimation using Combined Spaceborne Radar and Microwave Radiometer Data Duane Waliser Jet Propulsion Laboratory William.
Principal Investigator: William Olson
Matt Lebsock Chris Kummerow Graeme Stephens Tristan L’Ecuyer
Global hydrological forcing: current understanding
Assimilation of MWHS on FY-3B over Land
Dynamics in Earth’s Atmosphere
Project Title: A Merged Atmospheric Water Data Set from the A-Train
Investigator: B. Lin Integrated satellite global energy data sets for climate analysis and modeling studies Investigator: B. Lin
Integrated Satellite Global Energy Data for Climate Studies
Presentation transcript:

Comparison of Satellite and Model-Based Heating Distributions William Olson, Mircea Grecu, Chung-Lin Shie, Wei-Kuo Tao, Stephen Lang JCET/GEST and NASA/GSFC Duane Waliser, Xianan Jiang, Jui-Lin Li, Baijun Tian Jet Propulsion Laboratory Tristan L’Ecuyer Colorado State Univ. Adrian Tompkins ECMWF longitude [deg.] rain rate [mm/h] (TMI) Heating ECMWF Olson pressure [hPa] K/day land Understanding the differences between model-based analyses and “direct” observations from satellite is important for climate diagnostic studies as well as satellite data assimilation applications. Below is a comparison of ECMWF analyzed Q1 and TRMM Microwave Imager (TMI) estimates of Q1-QR in a tropical band (10 N - 10 S) on October 28, 1998. EC values of Q1 are substantially greater than the Q1-QR estimates from TMI, especially considering the fact that the TMI estimates would be reduced by adding radiative cooling (QR). Since net condensation heating in the atmosphere is roughly equal to Lv x rain rate, the overall magnitude difference here is traced to the EC analyzed rain rates (lower panel; ERA40) which are generally greater than the TRMM 3b42 and Olson TMI remote-sensing estimates plotted. Limited temporal sampling by the TMI may account for additional differences in heating magnitude.