eighth conference on satellite meteorology and oceanography · eighth conference on satellite...

EIGHTH CONFERENCE ONSATELLITE METEOROLOGY

AND OCEANOGRAPHY

JANUARY28-FEBRUARY2, 1996 ATLANTA, GEORGIA

SPONSORED BY

AMERICAN METEOROLOGICAL SOCIETY

Front Cover GOES-8 Derived Cloud and Water Vapor Winds

Four panel image illustrating capabilities to extract satellite derived winds from sequential GOES-8 images. Panel (a)visible channel derived winds, (b) infrared channel derived winds, (c) water vapor derived winds, and (d) water vaporchannel #3 image for 4 September 1995 at 1717Z, highlighting Hurricane Luis approaching the Leeward Islands.

The algorithm used in deriving the motion vectors is a modified version of the "Sequential Similarity Detection Algorithm(SSDA)" (Wilson, G. S., Automated Mesoscale Wind Fields Derived from GOES Satellite Imagery, ProceedingConference on Satellite/Remote Sensing and Applications, Clearwater, FL, June 1984). The SSDA was applied to pairsof GOES-8 images at thirty-minute intervals. The images were transformed into Mercalor projections at a nominalresolution of 5 km. Visible and infrared images were preprocessed with a differential enhancement algorithm; that is,pixels below 800 mb were subjected to histogram normalization to enhance the contrast of low level clouds. The sizeof the template used in tracking was a 32 x 32 array. The minimum brightens temperature in each array was used inthe altitude determination; these were matched to the corresponding temperatures for collocated temperature profilesderived from the Navy Operational Global Atmospheric Prediction System (NOGAPS) analyses. For visible and infraredvectors, the infrared brightness was used; for the water vapor vectors, the minimum water vapor brightness temperaturewas used. The algorithm is fully automated and requires no manual procedures after the selection of the image pairs.The color coding for heights of wind vectors is as follows:

600 - 400 mb green

The use of different channels for satellite derived winds illustrates the following basic advantages; 1) visible data aresuperior to IR in producing low level (red) and overall cloud tracked winds and defines the subtropical ridge, 2) watervapor winds provide superior coverage aloft and the ability to detect the upper level low to the NE of Hurricane Luis,3) all three methods agree reasonably well in regions where coincident observations occur. The reader should notethat the vectors are subsampled and significantly more vectors could have been plotted.

1000400

-800-200

mbmb

redblue

800200

-600-100

mbmb

magentapurple

All Rights Reserved. No part of this publication may be reproduced or copied in any form or by any means - graphic,electronic, or mechanical, including photocopying, taping, or information storage and retrieval systems - without the prior writtenpermission of the publisher. Contact AMS for permission pertaining to the overall collection. Authors retain their individual rightsand should be contacted directly for permission to use their material separately. The manuscripts reproduced herein areunrefereed papers presented at the Eighth Conference on Satellite Meteorology and Oceanography. Their appearance in thiscollection does not constitute formal publication.

AMERICAN METEOROLOGICAL SOCIETY45 BEACON STREET, BOSTON, MASSACHUSETTS USA 02108-3693

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EIGHTH CONFERENCE ON SATELLITE METEOROLOGY AND OCEANOGRAPHY

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iv FOREWORD

xviii AUTHOR INDEX

SESSION 1: WATER VAPOR AND WINDS

1 1.1 UPGRADES TO THE NOAA/NESDIS AUTOMATED CLOUD-MOTION VECTOR SYSTEM. SteveNieman, Cooperative Inst. for Meteorological Satellite Studies (CIMSS)/Univ. of Wisconsin, Madison,Wl; and W. P. Menzel, C. M. Hayden, S. Wanzong, and C. S. Velden

5 1.2 QUALITY AND CONTROL OF WATER VAPOR WINDS. Gary J. Jedlovec, National Aeronautics andSpace Administration (NASA)/Global Hydrology and Climate Ctr., Huntsville, AL; and R. J. Atkinson

10 1.3 UPPER TROPOSPHERIC HUMIDITY FROM SSM/T-2 MEASUREMENTS. Michael K. Griffin, PhillipsLab., Hanscom Air Force Base (AFB), MA; and J. D. Pickle

15 1.4 A STATISTICAL APPROACH FOR RETRIEVAL OF HUMIDITY PROFILES FROM SSM/T-2:COMPARISON TO A PHYSICAL RETRIEVAL METHOD. William D. Braswell, NASA/GlobalHydrology and Climate Ctr. and Nichols Research Corp., Huntsville, AL; and R. W. Spencer

19 1.5 THE ROLE OF FIRST GUESS TEMPERATURE AND WATER VAPOR IN THREE TECHNIQUESFOR ESTIMATING PRECIPITABLE WATER FROM GOES DATA. Richard D. Knabb, Florida StateUniv. (FSU), Tallahassee, FL; and H. E. Fuelberg

24 1.6 VARIATIONAL RETRIEVAL OF HUMIDITY, WIND SPEED AND CLOUD LIQUID WATER PATHWITH SSM/I. Laurent Phalippou, European Ctr. for Medium-Range Weather Forecasts (ECMWF),Reading, UK

1.7 RETRIEVAL OF WATER VAPOR PROFILES FROM A COMBINATION OF SSM/T-2 AND SSM/IOBSERVATIONS. C. B. Blankenship,Texas A&M Univ., College Station, TX; and T. T. Wilheit andS. L. Moore

28 1.8 MOISTURE TRANSPORT DIAGNOSTICS FROM GOES IMAGERY. Brian J. Soden, NationalOceanic and Atmospheric Administration (NOAA)/Geophysical Fluid Dynamics Lab. (GFDL),Princeton Univ., Princeton, NJ

30 1.9 A COMPARISON OF TOTAL INTEGRATED WATER CONTENT RETRIEVED FROM GOES-7 ANDGOES-8. Ronnie J. Suggs, NASA/Global Hydrology and Climate Ctr., Huntsville, AL; and G. J.Jedlovec

35 1.10 OPTRAN: A NEW, HIGHLY ACCURATE FAST TRANSMITTANCE ALGORITHM FOR VARIABLEGASES. Larry M. McMillin, NOAA/National Environmental Satellite Data and Information Service(NESDIS), Washington DC; and L. J. Crone and T. J. Kleespies

SESSION 2: EDUCATION, TRAINING AND OPERATIONS

39 2.1 SUGGESTIONS FOR METEOROLOGICAL AND OCEANOGRAPHIC DATA PROVIDERS TOACCOMMODATE THE K-12 CLASSROOM USER. Bryan L Aivazian, East Junior High School,Casper, WY

42 2.2 COMET® SATELLITE METEOROLOGY COMPUTER BASED LEARNING MODULEDEVELOPMENT. Anthony Mostek, NOAA/National Weather Service (NWS), Silver Spring, MD; andL. Spayd and J. J. Gurka

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2.3 PAPER WITHDRAWN

46 2.4 EXPLOITING AVAILABLE SATELLITE DATA IN AWIPS-ERA WORKSTATIONS. DanielBirkenheuer, Cooperative Inst. for Research in the Atmosphere (CIRA)/Colorado State Univ.,Ft. Collins and NOAA/Forecast System Lab. (FSL), Boulder, CO

50 2.5 THE USE OF DIGITAL SATELLITE DATA IN NWS FIELD OFFICES. Kevin J . Schrab,CIRA/Colorado State Univ., Ft. Collins, CO; and D. Molenar, P. N. Dills, and J . F. W. Purdom

54 2.6 THE NATIONAL WEATHER SERVICE GOES ASSESSMENT PROJECT. James J . Gurka,NOAA/NWS, Silver Spring, MD; and R. S. Gird and A. Mostek

POSTER SESSION P1

60 P1.1 AN ABSOLUTE MOISTURE INDEX. Larry M. McMillin, NOAA/NESDIS, Washington, DC

P1.2 PAPER WITHDRAWN

64 P1.3 AN ALGORITHM FOR WATER VAPOR PROFILE RETRIEVAL FROM GOES-8, SSM/T-2, ANDSSM/I SATELLITE DATA. Christopher E. Lietzke, Colorado State Univ., Ft. Collins, CO; and K. F.Evans and T. H. Vonder Haar

68 P1.4 PRECIPITABLE WATER VARIABILITY USING SSM/I AND GOES VAS PATHFINDER DATA SETS.Jeffrey A. Lerner, Univ. of Alabama and NASA/Global Hydrology and Climate Ctr., Huntsville, AL; andG. J . Jedlovec and S. Q. Kidder

72 P1.5 USING THE GOES-8 WATER VAPOR BANDS AS A SPACE HYGROMETER. Louis Garand,Atmospheric Environment Service (AES), Dorval, PQ, Canada; and D. S. Turner

74 P1.6 A REMOTE SENSING PRECIPITABLE WATER PRODUCT FOR USE IN HEAVY PRECIPITATIONFORECASTING. Roderick A. Scofield, NOAA/NESDIS, Suitland, MD; and D. Zaras, S. Kusselson,and R. Rabin

P1.7 WATER VAPOR RETRIEVAL USING SSM/T2 DATA. Xiangqian Wu, CIMSS/Univ. of Wisconsin,Madison, Wl ; and B. A. Burns and G. R. Diak

P1.8 WATER VAPOR PROFILE RETRIEVALS USING PASSIVE MICROWAVE DATA CONSTRAINEDBY INFRARED-BASED CLOUD INFORMATION. Thomas T. Wilheit, Texas A&M Univ., CollegeStation, TX; and K. Hutchison

79 P1.9 VARIATIONS OF UPPER TROPOSPHERIC HUMIDITY. Xiangqian Wu. CIMSS/Univ. of Wisconsin.Madison, Wl ; and W. P. Menzel, C. M. Hayden, S. Nieman, and C. Velden

83 P1.10 WAVELET ANALYSIS APPLIED TO A LONG-PERIOD DATA BASE OF PRECIPITABLE WATERDERIVED FROM TOVS. Steven R. Schroeder, Texas A&M Univ., College Station. TX; and J . P.McGuirk

85 P1.11 PRECIPITABLE WATER ESTIMATION FROM TOVS. James P. McGuirk, Texas A&M Univ., CollegeStation TX; and M. Yin and S. Schroeder

87 P1.12 GOES SOUNDER DERIVED PRODUCT IMAGES. Timothy J . Schmit, CIMSS/Univ. of Wisconsin.Madison Wl ; and C. M. Hayden

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90 P1.13 METEOROLOGICAL FEATURES FROM PRINCIPAL COMPONENT IMAGE TRANSFORMATIONOF GOES-8/9 IMAGER AND SOUNDER DATA. Donald W. Hillger, NOAA/NESDIS andCIRA/Colorado State Univ., Ft. Collins, CO

96 P1.14 THE USE OF NOAA^S NEW GENERATION OF GEOSTATIONARY SATELLITES TO OBSERVEOCEAN PHENOMENA . James F. W. Purdom, NOAA/NESDIS and CIRA/Colorado State Univ.,Ft. Collins, CO

100 P1.15 THE USE OF GOES-8 IMAGERY AND RAMSDIS TO DEVELOP A SEA BREEZE CLIMATOLOGYOVER THE FLORIDA PANHANDLE. Kenneth J. Gould, NOAA/NWS, Tallahassee FL; and H. E.Fuelberg

105 P1.16 ASSESSMENT OF GOES-8 IMAGER DATA QUALITY. Gary P. Ellrod, NOAA/NESDIS, Washington,DC; and J. P. Nelson III

110 P1.17 ALGORITHM TO COMPENSATE FOR VARIATION OF REFLECTANCE OF GOES-8 AND -9 SCANMIRRORS WITH SCAN ANGLE. Michael P. Weinreb, NOAA/NESDIS, Washington, DC; and J. X.Johnson, J. C. Bremer, E. C. Wack, and O. Chen

115 P1.18 USE OF DERIVED PRODUCTS FROM GOES-8 DATA AT THE AWC. Frederick R. Mosher.Aviation Weather Ctr., Kansas City, MO

119 P1.19 INTERCOMPARISON OF GOES-7 AND GOES-8 LONGWAVE INFRARED IMAGERY DURINGHEAVY PRECIPITATION EVENTS OVER THE CONTINENTAL U.S. AND THE DEVELOPMENT OFAN AUTOMATIC GOES-8 RAINFALL ESTIMATION TECHNIQUE. Rao Achutuni, NOAA/NESDIS,Washington, DC; and R. Scofield, G. Vicente, and C. Tsai

124 P1.20 A STUDY OF THE RELATIONSHIP BETWEEN SURFACE PRESSURE AND SATELLITE SOUNDERMEASUREMENTS. Stanley Q. Kidder, Univ. of Alabama, Huntsville, AL

129 P1.21 MICROWAVE SOUNDING ALTERNATIVES FOR THE NATIONAL POLAR-ORBITINGOPERATIONS ENVIRONMENTAL SATELLITE SYSTEM (NPOESS). Jean-Luc Moncet, Atmosphericand Environmental Research, Inc. (AER), Cambridge, MA; and R. G. Isaacs, J. D. Hegarty, and D. B.Hogan

134 P1.22 SOME ANOMALIES IN THE SSM/T-2 ANTENNA TEMPERATURES. Thomas J. Kleespies,NOAA/NESDIS, Washington DC

137 P1.23 SYNTHETIC RADIANCES FOR SATELLITE SENSORS. Stephen A. TJemkes, EUMETSAT.Darmstadt, Germany, and J. Schmetz

P1.24 SOUNDING PERFORMANCE COMPARISONS OF HIGH-RESOLUTION INFRARED SOUNDERCANDIDATES FOR THE NEXT-GENERATION OPERATIONAL POUR-ORBITING SATELLITESYSTEM. Hung-Lung Huang. CIMSS/Univ. of Wisconsin, Madison, Wl; and W. L Smith. M. S.Whipple, and R. J. Purser

142 P1.25 VARIABILITY OF SATELLITE-DERIVED DIABATIC HEATING STRUCTURE DURING 1988 ASIANSUMMER MONSOON AND ITS INFLUENCE ON MONSOON DYNAMICS. Mahendra K. Karki. FSU,Tallahassee, FL; and E. A. Smith

P1.26 SATELLITE-BASED ESTIMATES OF TROPICAL CYCLONE INTENSITY. Christopher S. Velden,CIMSS/Univ. of Wisconsin, Madison, Wl; and T. Olander and J. Hawkins

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P1.27 DIAGNOSING ASIAN MONSOON VARIABILITY FROM TOVS PATHFINDER PATH A1 DATA.Amita Mehta, NASA/Goddard Space Flight Ctr. (GSFC), Greenbelt, MD; and J. Susskind

144 P1.28 UTENT HEAT RELEASE FROM SSM/I MEASUREMENTS OVER TOGA-COARE INNER FLUXARRAY. Song Yang, FSU, Tallahassee, FL; and E. A. Smith

146 P1.29 ESTIMATING TROPICAL CYCLONE INTENSITIES USING A COMBINATION OF GEOSTATIONARYAND POUR-ORBITING SATELLITES. J. Turk, Naval Research Lab. (NRL), Monterey, CA; andJ. Hawkins, K. Richardson, and T. F. Lee

150 P1.30 USING SSM/T2 DATA TO DETERMINE THE SUMMER MONSOON ONSET IN THE SOUTH CHINASEA. Qian Ye, Cooperative Inst. for Research in Environmental Sciences (CIRES), Univ. ofColorado, Boulder, CO; and W. Berg

154 P1.31 SSM/I DEDUCED FEATURES OF THE INDIAN OCEAN CLOUD BANDS. Gandikota V. Rao,St. Louis Univ., St. Louis, MO; and K. Tepecik

P1.32 USE OF SATELLITE DATA IN STUDYING INDIAN MONSOON VARIABILITY. S. V. Singh. IndianInst. of Tropical Meteorology, Pune, India

156 P1.33 MICROWAVE SOUNDING UNIT CHANNEL 1 MOISTURE SIGNAL OVER THE EASTERN PACIFICOCEAN. Donna E. W. Smith, Texas A&M Univ., College Station, TX; and J. P. McGuirk

158 P1.34 CLOUD MOTION WINDS AS DERIVED FROM SPECIAL 1-MINUTE GOES-8 SCAN SEQUENCES.Patrick N. Dills, CIRA/Colorado State Univ., Ft. Collins and Univ. Corporation for AtmosphericResearch (UCAR)/Cooperative Program for Operational Meteorological, Education and Training(COMET), Boulder, CO; and J. F. W. Purdom

SESSION 3: GOES 8/9 STUDIES

159 3.1 REVIEW OF QUANTITATIVE SATELLITE PRODUCTS DERIVED FROM GOES-8/9 IMAGER ANDSOUNDER INSTRUMENT DATA. Donald G. Gray, NOAA/NESDIS, Washington, DC; and C. M.Hayden and W. P. Menzel

164 3.2 ONE MINUTE INTERVAL IMAGING OF ATMOSPHERIC PHENOMENA USING NOAA'S NEWGENERATION OF GEOSTATIONARY SATELLITES. James F. W. Purdom, NOAA/NESDIS andCIRA/Colorado State Univ., Ft. Collins, CO

168 3.3 THE USE OF GOES-8 MULTISPECTRAL IMAGERY FOR THE DETECTION OF AIRCRAFT ICINGREGIONS. Gary P. Ellrod, NOAA/NESDIS, Washington, DC

172 3.4 IMPROVED GOES-8 MULTISPECTRAL (10.7^m - 3.9Mm) SATELLITE IMAGERY TO DETECTSTRATUS AND FOG AT NIGHT. James P. Nelson III, CIMSS/Univ. of Wisconsin, Madison. Wl; andG. P. Ellrod

177 3.5 APPLICATIONS OF GOES-8/9 DATA TO HURRICANE ANALYSIS. Christopher S. Velden.CIMSS/Univ. of Wisconsin, Madison, Wl

179 3.6 USE OF PRODUCTS BASED ON THE GOES-8 3.9 MICRON IMAGER AS FORECASTER TOOLS.Thomas F. Lee, NRL, Monterey, CA; and J. Turk, K. Richardson, J. Hawkins, C. Skupniewicz, andP. A. Durkee

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SESSION 4: INSTRUMENTATION AND SATELLITE PROGRAMS

183 4.1 EUMETSAT PUNS TO GO POUR. Michel Langevin. EUMETSAT, Darmstadt, Germany

4.2 NOAA POUR-ORBITING OPERATIONAL ENVIRONMENTAL SATELLITE PROGRAM: STATUSAND PUNS. Greg Mandt, NOAA/NESDIS, Suitland and NASA/GSFC, Greenbelt, MD

185 4.3 INTERSENSOR CALIBRATION OF DMSPSSM/1 IS F8-F13, 1987-1995. Marie C. Colton, FleetNumerical Meteorology and Oceanography Ctr., Monterey, CA; and G. A. Poe, E. A. Uliana, R. W.Conway, and B. Gardiner

188 4.4 INTER-SATELLITE CALIBRATION USING EMPIRICAL DISTRIBUTION FUNCTIONS. David S.Crosby, NOAA/NESDIS, Washington DC; and M. D. Goldberg and W. Chung

191 4.5 ROLE OF A SMALL-SATELLITE WIND LIDAR FOR WEATHER AND CLIMATE PREDICTION.Wayman E. Baker, NOAA/National Centers for Environmental Prediction, Camp Springs, MD

SESSION 5: TROPICAL APPLICATIONS

196 5.1 AN ANALYSIS OF MOISTURE VARIABILITY IN THE EASTERN TROPICAL PACIFIC USINGSSM/T2 DATA. Wesley Berg, CIRES/Univ. of Colorado, Boulder, CO

200 5.2 TROPICAL CYCLONE CHARACTERIZATION VIA SATELLITE REMOTELY SENSINGTECHNIQUES. Jeffrey D. Hawkins, NRL, Monterey, CA; and J. Sandidge, R. Hoyler, D. A. May, andG. Poe

204 5.3 THE DIURNAL RAINFALL CYCLE OVER THE EQUATORIAL WESTERN PACIFIC: IMPLICATIONSFOR SSM/I RETRIEVALS. Eric J. Nelkin, Science Systems and Applications, Inc. (SSAI), Lanham,MD; and A. J. Negri and R. F. Adler

209 5.4 APPLICATION OF MULTISPECTRAL DATA FROM GMS-5 TO THE ANALYSIS OF WESTERNNORTH PACIFIC TYPHOONS. Christopher S. Velden, CIMSS/Univ. of Wisconsin, Madison, Wl; andS. Wanzong

211 5.5 MULTIPLE ITCZs IN SSM/I AND SSM/T-2. David J. Serke, Texas A&M Univ., College Station TX;and J. P. McGuirk

213 5.6 SOURCES OF HAWAIIAN RAINBANDS AS DETERMINED FROM ANALYSIS OF DMSP ANDGOES DATA. Harry T. Ochs III, Illinois State Water Survey (ISWS), Champaign, IL; and R. M.Rauber and G. R. Austin

SESSION 6: PRECIPITATION ALGORITHM INTERCOMPARISON PROJECTS

6.1 OVERVIEW OF AIP-1 PROJECT. Phil Arkin, NOAA/NWS, Washington, DC

6.2 OVERVIEW OF AIP-2 PROJECT. Richard Allam, UK Met Office, Bracknell, Berks., UK

215 6.3 OVERVIEW OF THE AIP-3 PROJECT. Elizabeth E. Ebert, Bureau of Meteorology Research Ctr.(BMRC), Melbourne, Vic, Australia

220 6.4 OVERVIEW OF THE FIRST WETNET PRECIPITATION INTERCOMPARISON PROJECT (PIP-1).Eric C. Barrett, Univ. of Bristol, Bristol, UK; and C. Kidd and D. Kniveton

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6.5 OVERVIEW OF PIP-2 PROJECT. Eric A. Smith. FSU, Tallahassee, FL

SESSION 6: PRECIPITATION RETRIEVALS - MICROWAVE AND INFRARED

6.6 MERGED MICROWAVE-IR PRECIPITATION ESTIMATES IN PIP AND AIP INTERCOMPARISONS.R. F. Adler, NASA/GSFC, Greenbelt, MD; and A. J. Negri, P. R. Keehn, and G. J. Huffman

225 6.7 GLOBAL MONTHLY PRECIPITATION: AN INTERCOMPARISON OF SEVERAL DATASETS BASEDON GAUGE OBSERVATIONS. SATELLITE ESTIMATES AND MODEL PREDICTIONS. PingpingXie. NOAA/NWS/National Meteorological Ctr. (NMC), Washington, DC; and P. A. Arkin

230 6.8 AN INTERCOMPARISON OF OCEANIC PRECIPITATION FREQUENCIES FROM 10 SSM/I RAINRATE ALGORITHMS AND SHIPBOARD PRESENT-WEATHER REPORTS. Grant W. Petty, PurdueUniv., W. Lafayette, IN

234 6.9 DETERMINATION OF TROPICAL PRECIPITATION FROM SATELLITE USING COMBINED ISCCPDX AND MICROWAVE DATASETS. Rong-Shyang Sheu. Univ. of Colorado. Boulder CO; and J. A.Curry and G. Liu

238 6.10 DETECTION OF PRECIPITATION USING SSM/T-2 MEASUREMENTS. John D. Pickle, AER.Cambridge, MA; and R. G. Isaacs, V. Jakabhazy, M. K. Griffin, and V. J. Falcone

6.11 PRECIPITATION RATE ESTIMATION IN TROPICAL MARITIME CLOUDS. Christian Asselin deBeauville, Univ. des Antilles et de la Guyane, Guadeloupe, France, (F. W. I.); and C. Pontikis

6.12 THE USE OF STATISTICAL MODELLING TECHNIQUES TO RETRIEVE PRECIPITATION USINGPASSIVE MICROWAVE DATA. D. R. Kniveton, Univ. of Bristol, Bristol, UK; and D. M. Smith andE. C. Barrett

243 6.13 COMPARISONS BETWEEN SSM/I, SSMT/2 AND RADAR MEASUREMENTS OVER THE UNITEDSTATES. Norman C. Grody, NOAA/NESDIS, Camp Springs, MD; and F. Weng and R. Ferraro

6.14 RETRIEVAL OF OCEANIC RAINFALL FROM MICROWAVE RADIOMETRIC DATA. Thomas T.Wilheit, Texas A&M Univ., College Station TX; and W. R. Russell, J. R. Tesmer, and S. Wang

252 6.15 AN OVER-OCEAN PRECIPITATION RETRIEVAL USING SSM/I MULTICHANNEL BRIGHTNESSTEMPERATURES. Kazumasa Aonashi, Meteorological Research Inst., Tsukuba, Ibaraki, Japan; andA. Shibata and G. Liu

248 6.16 SIMUUTED RETRIEVAL OF PRECIPITATION PROFILES FROM TRMM MICROWAVE IMAGERAND PRECIPITATION RADAR DATA. William S. Olson, Caelum Research Corp., Silver Spring. MD;and C. D. Kummerow

257 6.17 QUALITY ASSESSMENTS OF THE SRDC FOR SATELLITE RAINFALL VERIFICATION. Mark L.Morrissey, Univ. of Oklahoma, Norman, OK

POSTER SESSION P2: FORMAL VIEWING

P2.1 COMPARISON OF RAINFALL DATASETS DERIVED FROM SSM/I DURING TOGA-COARE. A. T.C. Chang, NASA/GSFC, Greenbelt, MD; and L S. Chiu and J. Meng

259 P2.2 COMBINED RADAR-RADIOMETER PRECIPITATION RETRIEVAL FOR TRMM. PART II: THERETRIEVAL ALGORITHM. Michael R. Farrar, FSU, Tallahassee. FL; and E. A. Smith and X. Xiang

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P2.3 SEEKING AGREEMENT BETWEEN BRIGHTNESS TEMPERATURE MEASUREMENTS ANDMODEL MANIFOLDS IN CLOUD MODEL-BASED PASSIVE MICROWAVE RAIN RETRIEVALALGORITHMS. Giulia Panegrossi, Istituto di Fisica deH'Atmosfera/CNR, Frascati, Italy; andP. Baptista, S. Dietrich, F. Marzano, A. Mugnai, and E. A. Smith

P2.4 COMBINED RADAR-RADIOMETER PRECIPITATION RETRIEVAL FOR TRMM. PART I: A UNIFIEDRTE MODEL FOR ACTIVE AND PASSIVE RADIATIVE TRANSFER CALCUUTIONS. Xuwu Xiang,FSU, Tallahassee, FL; and M. R. Farrar and E. A. Smith

P2.5 ON A CANDIDATE ALGORITHM TO GENERATE RAINFALL PROFILES FROM THE TRMMMICROWAVE IMAGER. Christian Kummerow, NASA/GSFC, Greenbelt, MD; and W. S. Olson

P2.6 INSIGHTS INTO THE CORRECTNESS OF SATELLITE PRECIPITATION ESTIMATES FROMCOMBINATION WITH INDEPENDENT PRECIPITATION ESTIMATES. G. J. Huffman, NASA/GSFC.Greenbelt, MD; and R. F. Adler and P. R. Keehn

P2.7 RAIN TYPE CATEGORIZATION USING SPECIAL SENSOR MICROWAVE IMAGER (SSM/I).Fuzhong Weng, NOAA/NWS, Camp Springs, MD; and N. C. Grody and R. R. Ferraro

P2.8 URGE-SCALE CLOUD AND PRECIPITATION FEATURES DURING WINTER IN NORTHATLANTIC OCEAN AS DETERMINED FROM SSM/I AND SSM/T2 OBSERVATIONS. GuoshengLiu, Univ. of Colorado, Boulder, CO; and J. A. Curry

P2.9 ALGORITHM FOR RAINFALL RATE ESTIMATION USING A COMBINATION OF GOES-8 11.0 AND3.9 MICRON MEASUREMENTS. Gilberto Alves Vicente, UCAR/NOAA, Camp Springs, MD

P2.10 REUTIONSHIP BETWEEN HIGH-RESOLUTION SATELLITE DATA AND RADAR-ESTIMATEDRAINFALL RATES WITHIN CLOUD FIELDS OVER THE NORTHCENTRAL TROPICAL PACIFICOCEAN. Neil F. Laird, ISWS, Champaign, IL; and R. M. Rauber and H. T. Ochs III

P2.11 ESTIMATION OF DAILY RAINFALL AT THE PIXEL SCALE OVER THE UPPER NILE RIVER BASINUSING METEOSAT INFARED SATELLITE IMAGES. Martin C. Todd, Univ. of Bristol, Bristol, UK;and E. C. Barrett and M. J. Beaumont


P2.13 POURIZATION AND INTENSITY IN THE MICROWAVE TRANSFER MODEL. Quanhua Liu, Univ.of Kiel, Kiel, Germany; and C. Simmer

P2.14 OBSERVED MULTICHANNEL MICROWAVE SIGNATURES OF SPATIALLY EXTENSIVEPRECIPITATION IN TROPICAL CYCLONES. Grant W. Petty, Purdue Univ.. W. Lafayette, IN; andJ. Turk

P2.15 SSM/I BRIGHTNESS TEMPERATURE DEVIATIONS FROM GRIDDED MONTHLY MEANS AS ABASIS FOR OVER-UND PRECIPITATION ESTIMATION. Mark D. Conner, Purdue Univ..W. Lafayette, IN; and G. W. Petty

P2.16 SPATIAL AND TEMPORAL VARIABILITY OF PRECIPITATION. C. R. Kondragunta, Univ. ofMaryland, College Park, MD; and A. Gruber, R. Ferraro, N. Grody, and F. Weng

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303 P2.17 CLOUD CUSSIFICATION IN POUR AND DESERT REGIONS AND SMOKE CUSSIFICATIONFROM BIOMASS BURNING USING A HIERARCHICAL NEURAL NETWORK. June Alexander.South Dakota School of Mines and Technology, Rapid City, SD; and E. M. Corwin, D. Lloyd, A. M.Logar, and R. M. Welch

P2.18 FINE-SCALE CLOUD FEATURE DETECTION AND CHARACTERIZATION. David B. Hogan, AER,Cambridge, MA; and D. W. Johnson and V. Jakabhazy

308 P2.19 EVALUATION OF THE SERCAA INTEGRATION ALGORITHM FOR ANALYSIS OFMULTIPUTFORM/MULTISENSOR SATELLITE-DERIVED CLOUD PARAMETERS. Gary Gustafson,AER, Cambridge, MA; and C. Grassotti and R. d'Entremont

313 P2.20 NEGATIVE 11 MICRON MINUS 12 MICRON BRIGHTNESS TEMPERATURE DIFFERENCES: ASECOND LOOK. Christopher C. Moeller, CIMSS/Univ. of Wisconsin, Madison, Wl; and S. A.Ackerman, K. I. Strabala, W. P. Menzel, and W. L. Smith

317 P2.21 CLOUD MASK FOR THE MODIS AIRBORNE SIMUUTOR (MAS): PREPARATION FOR MODIS.Steven A. Ackerman, CIMSS/Univ. of Wisconsin, Madison, Wl; and K. I. Strabala, R. A. Frey, C. C.Moeller, and W. P. Menzel

321 P2.22 THE 1-KM AVHRR GLOBAL U N D DATA SET: AN UPDATE. J. C. Eidenshink, US GeologicalSurvey, Sioux Falls, SD; and J. L. Faundeen and K. P. Gallo

323 P2.23 INVESTIGATION OF CIRRUS OVERUP WITH LOW LEVEL CLOUDS BY SATELLITE REMOTESENSING. Yao Jin, Columbia Univ., New York, NY; and W. B. Rossow

327 P2.24 DETERMINATION OF THE OPTICAL THICKNESS OF TROPICAL WARM MARITIME CLOUDS BYUSING I.R. AND SSM/I SATELLITE DATA. Elizabeth M. Hicks, Meteo France, Univ. des Antilles etde la Guyane; Guadeloupe, France, (F. W. I.); and C. A. Pontikis

330 P2.25 MULTILEVEL CLOUD PARAMETER ESTIMATION COMBINING HIRS AND AVHRR DATA - ASIMUUTION STUDY. Dongsoo Kim, CIRES/Univ. of Colorado and NOAA/FSL, Boulder, CO

334 P2.26 CLOUD DETECTION AND UND-SURFACE ALBEDOS USING VISIBLE AND NEAR-INFRAREDBIDIRECTIONAL REFLECTANCE DISTRIBUTION MODELS. Robert P. d'Entremont, AER,Cambridge, MA; and C. L. B. Schaaf and A. H. Strahler

P2.27 SATELLITE MEASUREMENTS OF CLOUD LIQUID WATER PATH AND TEMPERATURE. Bing Lin,College of William and Mary, Williamsburg, VA

339 P2.28 DISTINGUISHING BETWEEN DIFFERENT METEOROLOGICAL PHENOMENA AND U N DSURFACE PROPERTIES USING THE MULTISPECTRAL IMAGING CAPABILITIES OF GOES-8.Patrick N. Dills, CIRA/Colorado State Univ., Ft. Collins and UCAR/COMET, Boulder, CO; and D. W.Hillger and J. F. W. Purdom

343 P2.29 FOG AND STRATUS OBSERVATIONS AS SEEN WITH GOES-8 MULTISPECTRAL IMAGERDATA. Patrick N. Dills, CIRA/Colorado State Univ., Ft. Collins and UCAR/COMET. Boulder, CO; andJ. F. Weaver and K. J. Schrab

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SESSION 7: CLOUDS AND AEROSOLS

347 7.1 GLOBAL SINGLE AND MULTIPLE CLOUD CUSSIFICATION WITH A FUZZY LOGIC EXPERTSYSTEM. Ronald M. Welch, South Dakota School of Mines and Technology, Rapid City, SD; andV. Tovinkere, J. Titlow, and B. A. Baum

351 7.2 USING ISCCP OBSERVATIONS TO EVALUATE THE VERTICAL STRUCTURE OF CLOUDINESSAND ITS VARIABILITY IN THE ATMOSPHERIC MODEL INTERCOMPARISON PROJECT. Bryan C.Weare, Univ. of California, Davis, CA

353 7.3 DETERMINATION OF ICE WATER AMOUNT IN TROPICAL CIRRUS USING SSM/T2 DATA.Guosheng Liu, Univ. of Colorado, Boulder, CO; and J. A. Curry

357 7.4 SUBMILLIMETER-WAVE RADIOMETRIC SENSING OF CIRRUS CLOUD PROPERTIES: THE JPLPROTOTYPE CLOUD ICE RADIOMETER. K. Franklin Evans, Univ. of Colorado, Boulder, CO; andS. J. Walter and W. R. McGrath

362 7.5 MORNING-TO-EVENING CLOUDINESS CHANGES INFERRED FROM SPLIT WINDOW ABOARDTHE POUR ORBITING NOAA SATELLITE. Toshiro Inoue, Meteorological Research Inst., Tsukuba,Ibaraki, Japan

364 7.6 A COMPARISON OF GOES-VAS DERIVED CLOUDINESS TO SATURATION PRESSUREDIFFERENCES. Randall J. Alliss, North Carolina State Univ., Raleigh, NC; and S. Raman

369 7.7 A NEAR-GLOBAL SURVEY OF CIRRUS PARTICLE SIZE USING ISCCP. Qingyuan Han, SouthDakota School of Mines and Technology, Rapid City, SD; and W. B. Rossow, J. Chou, and R. M.Welch

7.8 ANALYSIS OF POLDER POURIZATION MEASUREMENTS DURING ASTEX EXPERIMENT.Qingyuan Han, South Dakota School of Mines and Technology, Rapid City, SD; and R. M. Welch

373 7.9 AUTOMATED EXTRACTION AND IDENTIFICATION OF CLOUD SYSTEMS IN SATELLITEIMAGERY. Richard L. Bankert, NRL, Monterey, CA; and P. M. Tag

377 7.10 RETRIEVAL OF CIRRUS RADIATIVE AND SPATIAL PROPERTIES USING COINCIDENTMULTISPECTRAL IMAGER AND SOUNDER SATELLITE DATA. Robert P. d'Entremont, AER,Cambridge, MA; and D. P. Wylie, S.-C. Ou, and K.-N. Liou

382 7.11 RETRIEVAL OF CLOUD SPATIAL, MICROPHYSICAL, RADIATIVE AND ENVIRONMENTPARAMETERS FROM MULTISOURCE SATELLITE DATA USING SERCAA. Ronald G. Isaacs,AER, Cambridge, MA; and G. B. Gustafson and R. P. d'Entremont

386 7.12 POURIMETRIC RETRIEVAL OF AEROSOL OPTICAL THICKNESS OVER THE OCEAN: THEEFFECT OF WIND SPEED. Michael I. Mishchenko, NASA/Goddard Inst. for Space Studies (GISS),New York, NY; and L. D. Travis, A. A. Lacis, and J. Chowdhary

POSTER SESSION P3: FORMAL VIEWING

387 P3.1 THE USE OF SATELLITE DATA FOR INITIALIZATION OF A MESOSCALE MODEL OF AN URBANAREA . Jan Hafner, Univ. of Alabama, Huntsville, AL; and S. Q. Kidder

391 P3.2 THE EASTERN PACIFIC MONSOON TROUGH IN VISIBLE SATELLITE IMAGERY. Raymond M.Zehr, NOAA/NESDIS and Colorado State Univ., Ft. Collins, CO

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395 P3.3 APPLICATION OF A CONVECTIVE-STRATIFORM TECHNIQUE IN AN OPERATIONAL GLOBALNEPHANALYSIS. Thomas J. Kopp, Headquarters Air Force Global Weather Central (HQAFGWC/SYSM). Offutt AFB. NE; and S. G. Zahn and R. B. Kiess

399 P3.4 SHORT-TERM CLOUD FORECASTING: AN OVERVIEW OF PREDICTION APPROACHES.Christopher Grassotti, AER, Cambridge, MA; and J. Sparrow, T. Nehrkorn, R. Hoffman, and R. G.Isaacs

404 P3.5 SATELLITE DERIVED MARINE WINDS FORECAST FOR COMMERCIAL TELEVISION WEATHERBROADCASTS. W. Linwood Jones, User Systems, Inc., Chesapeake Beach, MD; and S. W.McCandless, Jr., B. D. Huxtable, and L. P. Jones


408 P3.7 INITIALIZING CLOUD PREDICTIONS USING THE GOES-8 SOUNDER. Robert M. Aune,NOAA/NESDIS, Madison, Wl

413 P3.8 THE IMPACT OF ASSIMIUTING SSM/I PRECIPITABLE WATER AND RAIN F U G DATA ONSHORT-TERM PRECIPITATION FORECASTS. Kazumasa Aonashi, Meteorological Research Inst.,Tsukuba, Ibaraki, Japan; and A. Shibata

418 P3.9 THE RESULTS OF THE AUTOMATIC FRONTAL SECTION IDENTIFICATION FROM SATELLITEDATA. Leonid Bakst, Centra de Pesquisas Meteorologicas, Rio Grande do Sul, Brasil; andN. Fedorova


419 P3.11 VERIFICATION OF CLOUDS AND RADIATION PREDICTED FROM A PROGNOSTIC CLOUDSCHEME USING GOES IMAGERY. Wei Yu, AES, Dorval, PQ, Canada; and L. Garand andA. Dastoor

421 P3.12 COUPLED MODEL - VAS ANALYSIS OF ATMOSPHERIC TEMPERATURE AND MOISTURE FORMESOSCALE FORECASTS IN A WINTERTIME CASE. Frank H. Ruggiero, Phillips Lab., HanscomAFB, MA; and A. E. Lipton, K. D. Sashegyi, R. V. Madala, and S. Raman

P3.13 DISCRIMINATING SEA ICE AND PRECIPITATION IN THE ARCTIC USING MICROWAVE DATA.D. J. Cavalieri, NASA/GSFC, Greenbelt, MD; and A. T. C. Chang

426 P3.14 SATELLITE SIMUUTION OF PASSIVE MICROWAVE OCEAN WIND VECTOR REMOTESENSING. Robbie E. Hood, NASA/Global Hydrology and Climate Ctr., Huntsville, AL; and R. W.Spencer

430 P3.15 URGE SCALE SEA-ICE CHARACTERISTICS DURING THE NORTHERN HEMISPHERE POURNIGHT AS REVEALED THROUGH SSMI ANIMATION OF THE 85.5 GHZ IMAGERY. T. A. Agnew.Environment Canada, Downsview, ON, Canada; and H. Le

435 P3.16 A LOOK AT THE USE OF GOES-8 DATA FOR MONITORING WATER MOTIONS IN TURBIDCOASTAL WATERS. Christopher C. Moeller, CIMSS/Univ. of Wisconsin, Madison, Wl; and W. P.Menzel and O. K. Huh

439 P3.17 ERS-1 SCATTEROMETER OBSERVATIONS OF OCEAN SURFACE WINDS AS APPLIED TO THESTUDY OF THE EARTH'S MOMENTUM BAUNCE. David A Salstein, AER, Cambridge. MA; andK. Cady-Pereira, C.-K. Shum, and J. Xu

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P3.18 EVAPORATION ESTIMATES OVER GLOBAL OCEANS FROM SSM/I DATA. Shu-Hsien Chou,NASA/GSFC, Greenbelt, MD; and C.-L. Shie, R. M. Atlas, and J. Ardizzone

P3.19 IMAGING THE MULTISCALE STRUCTURE OF ATMOSPHERIC TURBULENCE USING SAR.Pierre D. Mourad, Univ. of Washington, Seattle, WA

P3.20 MULTISPECTRAL REMOTE SENSING OF THE COASTAL ATMOSPHERIC BOUNDARY UYER.Carlyle H. Wash, Naval Postgraduate School (NPS), Monterey, CA; and K. L. Davidson and M. S.Jordan

P3.21 GLOBAL MONITORING OF URGE AREA FLOODING USING THE DMSP SSM/I SOIL WETNESSINDEX. Rao Achutuni, NOAA/NESDIS, Washington, DC; and R. A. Scofield, N. C. Grody, andC. Tsai

P3.22 THE USE OF ENHANCED GLOBAL VEGETATION INDEX (GVI) SATELLITE DATA FOR URGEAREA FLOOD MONITORING. Steve Olson, Research And Data Systems Corp., Greenbelt, MD; andG. G. Gutman

P3.23 THE EFFECT OF SOIL MOISTURE ON A PASSIVE MICROWAVE VEGETATION INDEX.Gerald W. Felde, Phillips Lab., Hanscom AFB, MA

P3.24 OPTIMAL ESTIMATES OF SURFACE NET RADIATION FIELD OVER BOREAS STUDY-AREAFROM COMBINATION OF NET RADIOMETER POINT MEASUREMENTS AND GOES SATELLITERETRIEVALS. Gary B. Hodges, FSU, Tallahassee, FL; and E. A. Smith

P3.25 NOAA'S MSU TIME SERIES FOR DETECTING CLIMATE CHANGE. Mitchell D. Goldberg,NOAA/NESDIS, Camp Springs, MD; and D. S. Crosby and W. Chung

P3.26 THE EOS CERES GLOBAL CLOUD MASK. T. A. Berendes, South Dakota School of Mines andTechnology, Rapid City, SD; and R. M. Welch, Q. Trepte, C. Schaaf, and B. A. Baum

P3.27 A CLOSER LOOK AT HYDROLOGICAL CYCLE CLIMATE PARAMETERS DERIVED FROM THESPECIAL SENSOR MICROWAVE/IMAGER. Ralph R. Ferraro, NOAA/NESDIS, Camp Springs, MD;and F. Weng and N. C. Grody

P3.28 REGIONAL COMPARISONS OF SATELLITE (AVHRR) AND SPACE SHUTTLE (MAPS) DERIVEDESTIMATES OF CO AND AEROSOL CONCENTRATIONS. D. V. Vulcan, South Dakota School ofMines and Technology, Rapid City, SD; and S. A. Christopher, R. M. Welch, and V. S. Connors

P3.29 AN EMPIRICAL ORTHOGONAL FUNCTION ANALYSIS OF THE DIURNAL CYCLE OF OUTGOINGLONGWAVE RADIATION. David Rutan, AS&M, Hampton, VA; and G. L. Smith

P3.30 TROPOPAUSE FOLDING EVENTS OBSERVED BY THE STRATOSPHERIC AEROSOL AND GASEXPERIMENT (SAGE II). Jianjun Lu, State Univ. of New York (SUNY), Albany, NY; and V. Mohnen

SESSION 8: NOWCAST1NG, FORECASTING, AND ASSIMILATION

8.1 VALIDATION OF GLOBAL NWP MODEL OUTPUT USING DMSP SSM/I RETRIEVALS OFGEOPHYSICAL PARAMETERS. Godelieve Deblonde, AES, Dorval, PQ, Canada

8.2 FORECAST OF DISPUCEMENT VELOCITY OF THE BASIC SITES OF URGE-SCALECYCLONIC CLOUD SYSTEMS AND FRONTAL SECTIONS FROM SATELLITE DATA. N. Fedorova,Centra de Pesquisas Meteorologicas/Ufpel, Rio Grande do Sul, Brasil; and L. Bakst

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498 8.3 AN INITIAL EVALUATION OF GOES-8 RETRIEVALS. P. Anil Rao, FSU, Tallahassee, FL; and H. E.Fuelberg, C. M. Hayden, and T. J. Schmit

503 8.4 MODELING RETRIEVAL ERROR COVARIANCES FOR GLOBAL DATA ASSIMIUTION. Arlindo M.da Silva, NASA/GSFC, Greenbelt, MD; and C. Redder and D. Dee

508 8.5 AN OSSE STUDY COMPARING THE FORECAST IMPACT OF DMSP 5D2 AND 5D3 SENSORS.Jennifer M. Cram, NOAA/Environmental Research Lab. (ERL)/FSL, Boulder, CO; and D. LBirkenheuer, J. R. Smart, D. J. Boucher, J. A. McGinley, and S. M. Wagoner

513 8.6 NEW METHODOLOGIES FOR ASSIMIUTING SATELLITE RETRIEVALS. Joanna Joiner,NASA/GSFC, Greenbelt, MD; and R. Menard and A. M. da Silva

518 8.7 ASSIMIUTION OF GOES-8 MOISTURE DATA INTO NMC'S ETA MODEL. Ying Lin, UCAR VisitingScientist, NOAA/NWS/NMC, Washington, DC; and E. Rogers, G. J. DiMego, K. E. Mitchell, and R.M. Aune

521 8.8 A PRELIMINARY STUDY OF QUANTITATIVE PRECIPITATION FORECASTING (QPF) TECHNIQUEIN TAIWAN AREA DURING THE MEI-YU PERIOD. Paul Tai-kuang Chiou, Central Weather Bureau,Taipei, Taiwan; and L Yeh

SESSION 9: OCEAN SURFACE AND MARINE BOUNDARY LAYER

525 9.1 GLOBAL SEA SURFACE TEMPERATURES TO 0.25K PRECISION. Andrew R. Harris, Univ.College London, Surrey, UK; and M. A. Saunders

527 9.2 COMPUTED AND MEASURED SEA SURFACE EMISSIVITY FOR 8-13^m. Xiangqian Wu,CIMSS/Univ. of Wisconsin, Madison, Wl; and W. L. Smith

531 9.3 OBSERVATIONS OF THE INFARED RADIATIVE PROPERTIES OF THE OCEAN —IMPLICATIONS FOR THE MEASUREMENT OF SEA SURFACE TEMPERATURE VIA SATELLITEREMOTE SENSING. William L Smith, CIMSS/Univ. of Wisconsin, Madison, Wl; and W. Feltz, H. B.Howell, R. O. Knuteson, W. P. Menzel, N. Nalli, H. E. Revercomb, O. Brown, J. Brown, P. Minnettand W. McKeown

536 9.4 EVALUATION OF SOME SSM/I WIND SPEED ALGORITHMS. David A. Kilham, Univ. of Bristol,Bristol, UK; and E. C. Barrett and C. Durbin

545 9.5 ESTIMATES OF SENSIBLE AND UTENT HEAT FLUX OVER GLOBAL OCEANS. Ebby Anyamba,NASA/GSFC, Greenbelt, MD; and J. Susskind (colorphoto)

549 9.6 COMPARISON OF GLOBAL OCEAN MOISTURE FLUX AND TRANSPORT AS DERIVED FROMMULTI-SENSOR SATELLITE AND SHIP BASED OBSERVATIONS. Catherine Gautier, Univ. ofCalifornia, Santa Barbara, CA; and P. Peterson and D. Jourdan

SESSION 10: LAND SURFACE PROCESS STUDIES

541 10.1 A COMBINED SOUR AND INFRARED SURFACE RADIATION BUDGET ALGORITHM USINGGOES IMAGER MEASUREMENTS FOR BOREAS APPLICATIONS. Jiujing Gu, FSU, Tallahassee,FL; and E. A. Smith

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10.2 USE OF GOES-RETRIEVED RADIATION BUDGET PARAMETERS IN SEPARATION OFMETEOROLOGICAL AND BIOPHYSICAL CONTROLS ON SURFACE FLUXES DURINGBOREAS'94. Harry J. Cooper, FSU, Tallahassee, FL; and E. A. Smith and S. Shewchuk

10.3 ANALYSIS OF THE SACRAMENTO URBAN HEAT ISUND USING SATELLITE, AIRBORNE ANDGROUND TRUTH DATA. Dennis Dismachek, San Jose State Univ., San Jose, CA; and R. Bornsteinand K. Orvis

10.4 DIURNAL CYCLE OF UND SURFACE TEMPERATURE DERIVED FROM ISCCP DATA. Garik G.Gutman, NOAA/NESDIS, Washington, DC; and A. Ignatov

10.5 SATELLITE-VIEW BIASES IN RETRIEVED SURFACE TEMPERATURES IN MOUNTAIN AREAS.Alan E. Lipton, Phillips Lab., Hanscom AFB, MA; and J. M. Ward

10.6 SNOWPACK METAMORPHISM AT DYE 2, GREENUND, INFERRED FROM SSM/I ANDSURFACE METEOROLOGICAL OBSERVATIONS. Thomas L. Mote, Univ. of Georgia, Athens, GA;and C. M. Rowe

SESSION 11: GLOBAL SCALE PROCESSES, EOS DEVELOPMENT

11.1 RADIATIVE EFFECTS OF AEROSOLS GENERATED FROM BIOMASS BURNING, DUST STORMS,AND FOREST FIRES. Sundar A. Christopher, South Dakota School of Mines and Technology, RapidCity, SD; and D. V. Vulcan and R. M. Welch

11.2 INTERACTDNS BETWEEN UPPER-LEVEL MOISTURE AND PRECIPITATION AS MEASURED BYSATELLITE MICROWAVE RADIOMETERS. Norman C. Grody, NOAA/NESDIS, Camp Springs, MD;and F. Weng and R. Ferraro

11.3 SYNTHESIS OF UPPER-TROPOSPHERIC VAPOR AND CLOUD ANALYSES DURING THENASA/NOAA PATHFINDER PERIOD. Franklin R. Robertson, NASA/Global Hydrology and ClimateCtr., Huntsville, AL; and E. W. McCaui, D. Samuelson, and G. J. Jedlovec

11.4 SYNOPTIC-SCALE WEATHER SYSTEMS AROUND THE ANTARCTIC PENINSUU FROMSATELLITE IMAGERY AND MODEL FIELDS. John Turner, British Antarctic Survey, Cambridge, UK;and S. Leonard

11.5 THE CLOUDS AND THE EARTH'S RADIANT ENERGY SYSTEM (CERES) INSTRUMENT. G. LouisSmith, NASA/Langley Research Ctr. (LRC), Hampton, VA; and R. B. Lee III, B. R. Barkstrom, B. A.Wielicki, J. E. Cooper, L. P. Kopia, and R. W. Lawrence

11.6 THE OPTICAL TRANSIENT DETECTOR: FIRST RESULTS. Steven J. Goodman, NASA/GlobalHydrology and Climate Ctr., Huntsville, AL; and H. Christian, R. Blakeslee, D. Boccippio, D. Buechler,K. Driscoll, J. Fennelly, J. Hall, W. Koshak, D. Mach, P. Meyer, M. Botts, R. Creasey, R. Phillips, andW. Boeck

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