Evaluation of coupled versus uncoupled cloud physics and radiation in WRF
|
|
- Laurence Alexander
- 7 years ago
- Views:
Transcription
1 Evaluation of coupled versus uncoupled cloud physics and radiation in WRF Gregory Thompson Mukul Tewari, Kyoko Ikeda, Sarah Tessendorf, Courtney Weeks Research Applications Laboratory National Center for Atmospheric Research Jason Otkin Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison Fanyou Kong Center for Analysis and Prediction of Storms University of Oklahoma 1 st World Weather Open Science Conference, Montreal Aug 2014
2 Motivation: OU-CAPS ARW ensembles SPC/NSSL Hazardous Weather Testbed old MCS decaying cloud mostly composed of snow was essentially transparent next day s convection triggered much too early since minimal cloud cover seen by radiation caused by cloud ice versus snow categorization Hurricane WRF (HWRF) tests supported by Developmental Testbed Center (DTC) Thompson et al (2008) microphysics considered for HWRF HWRF operational version used GFDL radiation scheme Hurricane Earl (2010) examples
3 HWRF 4 Earl test simulations Ferrier microphysics GFDL radiation Thompson microphysics GFDL radiation Longwave, outgoing top of atmos Thompson microphysics uncoupled RRTMG radiation Thompson microphysics coupled RRTMG radiation
4 Goal: Improve cloud-radiation treatment Convective initiation by improved T-sfc forecasts Longevity/duration of convection due to cloud longwave radiative forcing Improve tropical cyclone track/intensity prediction? AND Demonstrate cloud indirect effects
5 Methodology code issues: Previous assumed cloud water size(s)
6 Methodology code issues: Previous assumed ice size(s) ice and snow added
7 Solution: Compute cloud water droplet, ice, and snow effective radii 3 rd moment divided by 2 nd moment (Volume/Area) water droplets are simple ice and snow are more complex due to crystal geometry mass-dimensional and number density assumptions are already known in microphysics scheme pass explicitly calculated radii from microphysics to radiation radiation interface code calculates optical depth, single-scattering albedo, asymmetry parameter in clouds using explicit radii variables
8 Example radiative effective size Radiative effective radius: cloud droplets (k=16 from bottom) Radiative effective radius: cloud ice (k=44 from bottom) Radiative effective radius: snow (k=37 from bottom) 5 to 15 microns 20 to 70 microns 50 to 250 microns
9 Methodology: Sensitivity Experiments OU-CAPS WRF ensemble members pre-2013 used RRTM or Goddard radiation schemes Cintineo et al (2014) noted specific cloud forecast biases 2013 & 2014 used RRTMG scheme nomenclature: control used standard/uncoupled code m25 used prototype coupled code; inadvertent snow too small m30 used corrected snow radius (in WRFv3.5.1) Verification GOES vs. Synthetic Satellite longwave infrared U.S. Climate Reference Network downward shortwave radiation Near surface temperature (METARs and USCRN) comparison m25 m30
10 Results: GOES vs. Synthetic-Sat GOES (ch4) longwave IR SynthSat Control SynthSat m30 SynthSat m25
11 Results: cloud-top temp 20 bins
12 Results: shortwave radiation
13 Results: near surface temperatures Model and Obs Temp Bias Ctrl m25 m30 Mean Error (standard error) 1.01 (0.01) 1.45 (0.01) 1.01 (0.01) RMSE
14 Results: m25 daytime temperature drift
15 Aerosol 1 st indirect effect 1 st aerosol indirect effect More aerosols result in more droplets with overall smaller size. Smaller droplet effective radius increases cloud albedo (+5.4% outgoing shortwave, TOA). Increased cloud thickness in higher aerosols resulting in higher (0.47%) downward longwave IR and lower (-0.11%) outgoing LW-IR, TOA. See Poster#1107 Thompson, G. and T. Eidhammer, 2014: A Study of Aerosol Impacts on Clouds and Precipitation Development in a Large Winter Cyclone, J. Atmos. Sci., early online release.
16 Conclusions The inadvertent small snow effective radii experiment caused clouds to become too opaque Surface temperature cool bias worsened in m25 compared to control or m30 Shortwave radiation reaching the ground decreased too much The coupled microphysics & radiation experiment exhibited expected behavior Smaller ice crystals made clouds more opaque to shortwave Smaller water droplets (due to higher CCN) increased cloud albedo (1 st indirect effect) Typical model errors are far larger than changes in uncoupled vs. coupled experiments Control and m30 were very similar to each other Finding signal/meaning in small differences was challenging when overall errors were large Experiment m30 did no harm and produced proper physical behavior
17 Acknowledgements We gratefully acknowledge the support/contributions of: NSF & Short-Term Explicit Prediction (STEP) program FAA Aviation Weather Research Program office Roy Rasmussen (NCAR-RAL) Stan Benjamin et al (NOAA/ESRL/GSD) Ligia Bernadet, Shaowu Bao (DTC) Dave Gill, Jimy Dudhia, Wei Wang, Michael Duda and the entire WRF development team Thank you!!
Clouds and the Energy Cycle
August 1999 NF-207 The Earth Science Enterprise Series These articles discuss Earth's many dynamic processes and their interactions Clouds and the Energy Cycle he study of clouds, where they occur, and
More informationCloud Correction and its Impact on Air Quality Simulations
Cloud Correction and its Impact on Air Quality Simulations Arastoo Pour Biazar 1, Richard T. McNider 1, Andrew White 1, Bright Dornblaser 3, Kevin Doty 1, Maudood Khan 2 1. University of Alabama in Huntsville
More informationComparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric,
More informationImpact of microphysics on cloud-system resolving model simulations of deep convection and SpCAM
Impact of microphysics on cloud-system resolving model simulations of deep convection and SpCAM Hugh Morrison and Wojciech Grabowski NCAR* (MMM Division, NESL) Marat Khairoutdinov Stony Brook University
More informationVery High Resolution Arctic System Reanalysis for 2000-2011
Very High Resolution Arctic System Reanalysis for 2000-2011 David H. Bromwich, Lesheng Bai,, Keith Hines, and Sheng-Hung Wang Polar Meteorology Group, Byrd Polar Research Center The Ohio State University
More informationCloud Radiation and the Law of Attraction
Convec,on, cloud and radia,on Convection redistributes the thermal energy yielding (globally-averaged), a mean lapse rate of ~ -6.5 o C/km. Radiative processes tend to produce a more negative temperature
More informationa) species of plants that require a relatively cool, moist environment tend to grow on poleward-facing slopes.
J.D. McAlpine ATMS 611 HMWK #8 a) species of plants that require a relatively cool, moist environment tend to grow on poleward-facing slopes. These sides of the slopes will tend to have less average solar
More informationMICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION
MICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION Blake J. Allen National Weather Center Research Experience For Undergraduates, Norman, Oklahoma and Pittsburg State University, Pittsburg,
More informationWhat the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper
What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper IPCC Cloud feedbacks remain the largest source of uncertainty. Roadmap 1. Low cloud primer 2. Radiation and low
More informationIMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS
IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS M. J. Mueller, R. W. Pasken, W. Dannevik, T. P. Eichler Saint Louis University Department of Earth and
More informationUSING THE GOES 3.9 µm SHORTWAVE INFRARED CHANNEL TO TRACK LOW-LEVEL CLOUD-DRIFT WINDS ABSTRACT
USING THE GOES 3.9 µm SHORTWAVE INFRARED CHANNEL TO TRACK LOW-LEVEL CLOUD-DRIFT WINDS Jason P. Dunion 1 and Christopher S. Velden 2 1 NOAA/AOML/Hurricane Research Division, 2 UW/CIMSS ABSTRACT Low-level
More informationATM S 111, Global Warming: Understanding the Forecast
ATM S 111, Global Warming: Understanding the Forecast DARGAN M. W. FRIERSON DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 1: OCTOBER 1, 2015 Outline How exactly the Sun heats the Earth How strong? Important concept
More informationCirrus cloud simulations using WRF with improved radiation parameterization and increased vertical resolution
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116,, doi:10.1029/2010jd014574, 2011 Cirrus cloud simulations using WRF with improved radiation parameterization and increased vertical resolution Y. Gu, 1 K. N. Liou,
More informationObserved Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography
Observed Cloud Cover Trends and Global Climate Change Joel Norris Scripps Institution of Oceanography Increasing Global Temperature from www.giss.nasa.gov Increasing Greenhouse Gases from ess.geology.ufl.edu
More informationComparing Properties of Cirrus Clouds in the Tropics and Mid-latitudes
Comparing Properties of Cirrus Clouds in the Tropics and Mid-latitudes Segayle C. Walford Academic Affiliation, fall 2001: Senior, The Pennsylvania State University SOARS summer 2001 Science Research Mentor:
More informationCan latent heat release have a negative effect on polar low intensity?
Can latent heat release have a negative effect on polar low intensity? Ivan Føre, Jon Egill Kristjansson, Erik W. Kolstad, Thomas J. Bracegirdle and Øyvind Sætra Polar lows: are intense mesoscale cyclones
More informationAnalysis of Cloud Variability and Sampling Errors in Surface and Satellite Measurements
Analysis of Cloud Variability and Sampling Errors in Surface and Satellite Measurements Z. Li, M. C. Cribb, and F.-L. Chang Earth System Science Interdisciplinary Center University of Maryland College
More informationEvaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius
Evaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius F.-L. Chang and Z. Li Earth System Science Interdisciplinary Center University
More informationParameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models Yefim L. Kogan Cooperative Institute
More informationEvaluation of clouds in GCMs using ARM-data: A time-step approach
Evaluation of clouds in GCMs using ARM-data: A time-step approach K. Van Weverberg 1, C. Morcrette 1, H.-Y. Ma 2, S. Klein 2, M. Ahlgrimm 3, R. Forbes 3 and J. Petch 1 MACCBET Symposium, Royal Meteorological
More informationMDE Product Development Team FY14 November Monthly Report Submitted 15 December 2013
Executive Summary MDE Product Development Team FY14 November Monthly Report Submitted 15 December 2013 With contributions from Geoff DiMego and Mary Hart (NCEP/EMC); Stan Benjamin, John Brown, Steve Weygandt
More informationA Real Case Study of Using Cloud Analysis in Grid-point Statistical Interpolation Analysis and Advanced Research WRF Forecast System
A Real Case Study of Using Cloud Analysis in Grid-point Statistical Interpolation Analysis and Advanced Research WRF Forecast System Ming Hu 1 and Ming Xue 1, 1 Center for Analysis and Prediction of Storms,
More informationSensitivity of Surface Cloud Radiative Forcing to Arctic Cloud Properties
Sensitivity of Surface Cloud Radiative Forcing to Arctic Cloud Properties J. M. Intrieri National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado M. D. Shupe
More informationThe Effect of Droplet Size Distribution on the Determination of Cloud Droplet Effective Radius
Eleventh ARM Science Team Meeting Proceedings, Atlanta, Georgia, March 9-, The Effect of Droplet Size Distribution on the Determination of Cloud Droplet Effective Radius F.-L. Chang and Z. Li ESSIC/Department
More informationUsing Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models S. A. Klein National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics
More informationDenis Botambekov 1, Andrew Heidinger 2, Andi Walther 1, and Nick Bearson 1
Denis Botambekov 1, Andrew Heidinger 2, Andi Walther 1, and Nick Bearson 1 1 - CIMSS / SSEC / University of Wisconsin Madison, WI, USA 2 NOAA / NESDIS / STAR @ University of Wisconsin Madison, WI, USA
More informationTOPIC: CLOUD CLASSIFICATION
INDIAN INSTITUTE OF TECHNOLOGY, DELHI DEPARTMENT OF ATMOSPHERIC SCIENCE ASL720: Satellite Meteorology and Remote Sensing TERM PAPER TOPIC: CLOUD CLASSIFICATION Group Members: Anil Kumar (2010ME10649) Mayank
More informationUnderstanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations. Final Report
Understanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations Final Report Principal Investigator: Xiaoqing Wu, Department of Geological and Atmospheric Sciences, Iowa State
More informationFundamentals of Climate Change (PCC 587): Water Vapor
Fundamentals of Climate Change (PCC 587): Water Vapor DARGAN M. W. FRIERSON UNIVERSITY OF WASHINGTON, DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 2: 9/30/13 Water Water is a remarkable molecule Water vapor
More informationJoint Polar Satellite System (JPSS)
Joint Polar Satellite System (JPSS) John Furgerson, User Liaison Joint Polar Satellite System National Environmental Satellite, Data, and Information Service National Oceanic and Atmospheric Administration
More informationAuthors and Affiliations Kristopher Bedka 1, Cecilia Wang 1, Ryan Rogers 2, Larry Carey 2, Wayne Feltz 3, and Jan Kanak 4
1. Title Slide Title: Analysis of the Co-Evolution of Total Lightning, Ground-Based Radar-Derived Fields, and GOES-14 1-Minute Super Rapid Scan Satellite Observations of Deep Convective Cloud Tops Authors
More informationOngoing Development and Testing of Generalized Cloud Analysis Package within GSI for Initializing Rapid Refresh
Preprints, 13 th Conf. on Aviation, Range and Aerospace Meteorology. January 2008, New Orleans, LA, Amer. Meteor. Soc. 7.4 Ongoing Development and Testing of Generalized Cloud Analysis Package within GSI
More informationSurface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains
Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains G. Feingold and W. L. Eberhard National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder,
More informationCloud Model Verification at the Air Force Weather Agency
2d Weather Group Cloud Model Verification at the Air Force Weather Agency Matthew Sittel UCAR Visiting Scientist Air Force Weather Agency Offutt AFB, NE Template: 28 Feb 06 Overview Cloud Models Ground
More informationArctic Surface, Cloud, and Radiation Properties Based on the AVHRR Polar Pathfinder Dataset. Part I: Spatial and Temporal Characteristics
2558 J O U R N A L O F C L I M A T E VOLUME 18 Arctic Surface, Cloud, and Radiation Properties Based on the AVHRR Polar Pathfinder Dataset. Part I: Spatial and Temporal Characteristics XUANJI WANG Cooperative
More informationOn the use of Synthetic Satellite Imagery to Evaluate Numerically Simulated Clouds
On the use of Synthetic Satellite Imagery to Evaluate Numerically Simulated Clouds Lewis D. Grasso (1) Cooperative Institute for Research in the Atmosphere, Fort Collins, Colorado Don Hillger NOAA/NESDIS/STAR/RAMMB,
More informationA new positive cloud feedback?
A new positive cloud feedback? Bjorn Stevens Max-Planck-Institut für Meteorologie KlimaCampus, Hamburg (Based on joint work with Louise Nuijens and Malte Rieck) Slide 1/31 Prehistory [W]ater vapor, confessedly
More informationGCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency In Sik Kang Seoul National University Young Min Yang (UH) and Wei Kuo Tao (GSFC) Content 1. Conventional
More informationCloud/Hydrometeor Initialization in the 20-km RUC Using GOES Data
WORLD METEOROLOGICAL ORGANIZATION COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS EXPERT TEAM ON OBSERVATIONAL DATA REQUIREMENTS AND REDESIGN OF THE GLOBAL OBSERVING
More informationLong term cloud cover trends over the U.S. from ground based data and satellite products
Long term cloud cover trends over the U.S. from ground based data and satellite products Hye Lim Yoo 12 Melissa Free 1, Bomin Sun 34 1 NOAA Air Resources Laboratory, College Park, MD, USA 2 Cooperative
More informationThe FAA Aviation Weather Research Program Quality Assessment Product Development Team
The FAA Aviation Weather Research Program Quality Assessment Product Development Team Jennifer Luppens Mahoney NOAA Research-Earth System Research Laboratory/Global Systems Division Barbara Brown National
More informationRoy W. Spencer 1. Search and Discovery Article #110117 (2009) Posted September 8, 2009. Abstract
AV Satellite Evidence against Global Warming Being Caused by Increasing CO 2 * Roy W. Spencer 1 Search and Discovery Article #110117 (2009) Posted September 8, 2009 *Adapted from oral presentation at AAPG
More informationOutline of RGB Composite Imagery
Outline of RGB Composite Imagery Data Processing Division, Data Processing Department Meteorological Satellite Center (MSC) JMA Akihiro SHIMIZU 29 September, 2014 Updated 6 July, 2015 1 Contents What s
More informationIMPROVING AEROSOL DISTRIBUTIONS
IMPROVING AEROSOL DISTRIBUTIONS BY ASSIMILATING SATELLITE- RETRIEVED CLOUD DROPLET NUMBER AND AEROSOL OPTICAL DEPTH Pablo Saide 1, G. Carmichael 1, S. Spak 1, P. Minnis 2, K. Ayers 2, Z. Liu 3, H.C. Lin
More informationCHAPTER 2 Energy and Earth
CHAPTER 2 Energy and Earth This chapter is concerned with the nature of energy and how it interacts with Earth. At this stage we are looking at energy in an abstract form though relate it to how it affect
More informationDeveloping Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang
More informationRadiative effects of clouds, ice sheet and sea ice in the Antarctic
Snow and fee Covers: Interactions with the Atmosphere and Ecosystems (Proceedings of Yokohama Symposia J2 and J5, July 1993). IAHS Publ. no. 223, 1994. 29 Radiative effects of clouds, ice sheet and sea
More informationEvalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data
Evalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data Kate Thayer-Calder and Dave Randall Colorado State University October 24, 2012 NOAA's 37th Climate Diagnostics and Prediction Workshop Convective
More informationRADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies
RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE by Peter J. Lamb Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology The University of Oklahoma
More informationCloud verification: a review of methodologies and recent developments
Cloud verification: a review of methodologies and recent developments Anna Ghelli ECMWF Slide 1 Thanks to: Maike Ahlgrimm Martin Kohler, Richard Forbes Slide 1 Outline Cloud properties Data availability
More informationDecadal Variability: ERBS, ISCCP, Surface Cloud Observer, and Ocean Heat Storage
Decadal Variability: ERBS, ISCCP, Surface Cloud Observer, and Ocean Heat Storage Takmeng Wong, Bruce A. Wielicki, and Robert B. Lee, III NASA Langley Research Center, Hampton, Virginia 30 th CERES Science
More informationContinental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota
Continental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota Outline 1) Statistical results from SGP and AZORES 2) Challenge and Difficult
More informationA quick look at clouds: what is a cloud, what is its origin and what can we predict and model about its destiny?
A quick look at clouds: what is a cloud, what is its origin and what can we predict and model about its destiny? Paul DeMott Colorado State University A look at clouds: what is a cloud, what is its origin
More informationFebruary 17 th Video Conference Agenda
February 17 th Video Conference Agenda 8:30 am Video, audio and connection checks 9:00 am Brief intro by mediator, Ellen Holmes, followed by 3 to 5 minute Day in the Life of Presentations from each school.
More informationCloud Parameterizations in SUNYA Regional Climate Model for the East Asia Summer Monsoon Simulations
TAO, Vol. 16, No. 5, 959-987, December 2005 Cloud Parameterizations in SUNYA Regional Climate Model for the East Asia Summer Monsoon Simulations Chao-Tzuen Cheng 1, * and Wei-Chyung Wang 1 (Manuscript
More informationHow To Understand Cloud Properties From Satellite Imagery
P1.70 NIGHTTIME RETRIEVAL OF CLOUD MICROPHYSICAL PROPERTIES FOR GOES-R Patrick W. Heck * Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison Madison, Wisconsin P.
More informationHow does snow melt? Principles of snow melt. Energy balance. GEO4430 snow hydrology 21.03.2006. Energy flux onto a unit surface:
Principles of snow melt How does snow melt? We need energy to melt snow/ ice. GEO443 snow hydrology 21.3.26 E = m L h we s K = ρ h = w w we f E ρ L L f f Thomas V. Schuler t.v.schuler@geo.uio.no E energy
More informationThe Importance of Understanding Clouds
NASA Facts National Aeronautics and Space Administration www.nasa.gov The Importance of Understanding Clouds One of the most interesting features of Earth, as seen from space, is the ever-changing distribution
More informationJoel R. Norris * Scripps Institution of Oceanography, University of California, San Diego. ) / (1 N h. = 8 and C L
10.4 DECADAL TROPICAL CLOUD AND RADIATION VARIABILITY IN OBSERVATIONS AND THE CCSM3 Joel R. Norris * Scripps Institution of Oceanography, University of California, San Diego 1. INTRODUCTION Clouds have
More informationJing Zeng, Ph.D. EDUCATION RESEARCH AREAS EXPERIENCES
Jing Zeng, Ph.D. Department of Earth and Atmospheric Sciences University of Nebraska-Lincoln Lincoln, NE,68588 Email: jzeng3@unl.edu Office: 402-472-7812 EDUCATION Ph.D. May, 2006 Atmospheric Sciences,
More informationTesting and Evaluation of GSI-Hybrid Data Assimilation and Its Applications for HWRF at the Developmental Testbed Center
214 Tropical Cyclone Research Forum (TCRF)/68th IHC, March 3-6, 214, College Park, MD Testing and Evaluation of GSI-Hybrid Data Assimilation and Its Applications for HWRF at the Developmental Testbed Center
More informationThe climate cooling potential of different geoengineering options
The climate cooling potential of different geoengineering options Tim Lenton & Naomi Vaughan (GEAR) initiative School of Environmental Sciences, University of East Anglia, Norwich, UK www.gear.uea.ac.uk
More informationHow To Model An Ac Cloud
Development of an Elevated Mixed Layer Model for Parameterizing Altocumulus Cloud Layers S. Liu and S. K. Krueger Department of Meteorology University of Utah, Salt Lake City, Utah Introduction Altocumulus
More informationDETAILED STORM SIMULATIONS BY A NUMERICAL CLOUD MODEL WITH ELECTRIFICATION AND LIGHTNING PARAMETERIZATIONS
DETAILED STORM SIMULATIONS BY A NUMERICAL CLOUD MODEL WITH ELECTRIFICATION AND LIGHTNING PARAMETERIZATIONS Don MacGorman 1, Ted Mansell 1,2, Conrad Ziegler 1, Jerry Straka 3, and Eric C. Bruning 1,3 1
More informationAOSC 621 Lesson 15 Radiative Heating/Cooling
AOSC 621 Lesson 15 Radiative Heating/Cooling Effect of radiation on clouds: fog 2 Clear-sky cooling/heating rate: longwave CO2 O3 H2O 3 Clear-sky heating rate: shortwave Standard atmosphere Heating due
More informationSolar wind - atmospheric electricity - cloud microphysics connections to weather
ISSI, Bern, Switzerland January 2015 Solar wind - atmospheric electricity - cloud microphysics connections to weather Mai Mai Lam (BAS) Brian A. Tinsley (University of Texas at Dallas) Outline Aerosols,
More informationIMPROVING THE PERFORMANCE OF SATELLITE-TO-IRRADIANCE MODELS USING THE SATELLITE S INFRARED SENSORS
IMPROVING THE PERFORMANCE OF SATELLITE-TO-IRRADIANCE MODELS USING THE SATELLITE S INFRARED SENSORS Richard Perez ASRC, Albany, NY, 12203 Perez@asrc.cestm.albany,edu Sergey Kivalov ASRC, Albany, NY, 12203
More information7B.2 MODELING THE EFFECT OF VERTICAL WIND SHEAR ON TROPICAL CYCLONE SIZE AND STRUCTURE
7B.2 MODELING THE EFFECT OF VERTICAL WIND SHEAR ON TROPICAL CYCLONE SIZE AND STRUCTURE Diana R. Stovern* and Elizabeth A. Ritchie University of Arizona, Tucson, Arizona 1. Introduction An ongoing problem
More informationNumber of activated CCN as a key property in cloud-aerosol interactions. Or, More on simplicity in complex systems
Number of activated CCN as a key property in cloud-aerosol interactions Or, More on simplicity in complex systems 1 Daniel Rosenfeld and Eyal Freud The Hebrew University of Jerusalem, Israel Uncertainties
More informationRemote Sensing of Cloud Properties from the Communication, Ocean and Meteorological Satellite (COMS) Imagery
Remote Sensing of Cloud Properties from the Communication, Ocean and Meteorological Satellite (COMS) Imagery Choi, Yong-Sang, 1 Chang-Hoi Ho, 1 Myoung-Hwan Ahn, and Young-Mi Kim 1 1 School of Earth and
More informationDevelopmental Testbed Center Annual Operating Plan 1 April 2015 31 March 2016
Developmental Testbed Center Annual Operating Plan 1 April 2015 31 March 2016 The Developmental Testbed Center (DTC) is a distributed facility with components residing at the National Center for Atmospheric
More informationPlease see the Seasonal Changes module description.
Overview Children will measure and graph the precipitation on the playground throughout the year using a rain gauge. Children will also observe satellite images of clouds and begin to investigate how clouds
More informationThe Surface Energy Budget
The Surface Energy Budget The radiation (R) budget Shortwave (solar) Radiation Longwave Radiation R SW R SW α α = surface albedo R LW εσt 4 ε = emissivity σ = Stefan-Boltzman constant T = temperature Subsurface
More informationThe ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models
The ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models R. T. Cederwall and D. J. Rodriguez Atmospheric Science Division Lawrence Livermore National Laboratory Livermore, California
More informationMonth-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP
Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP X. Wu Department of Geological and Atmospheric Sciences Iowa State University Ames, Iowa X.-Z.
More informationBlack Carbon in 3D Mountains/Snow, Radiative Transfer and Regional Climate Change
Black Carbon in 3D Mountains/Snow, Radiative Transfer and Regional Climate Change *Kuo-Nan Liou Joint Institute for Regional Earth System Science and Engineering (JIFRESSE) and Atmospheric and Oceanic
More informationEarth s Cloud Feedback
Earth s Cloud Feedback Clouds are visible masses of liquid droplets and/or frozen crystals that remain suspended in the atmosphere. Molecule by molecule, water in a solid or liquid phase is 1000 times
More informationThe Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates
The Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates C. N. Long Pacific Northwest National Laboratory Richland, Washington
More informationTitelmasterformat durch Klicken. bearbeiten
Evaluation of a Fully Coupled Atmospheric Hydrological Modeling System for the Sissili Watershed in the West African Sudanian Savannah Titelmasterformat durch Klicken June, 11, 2014 1 st European Fully
More informationCloud Thickness Estimation from GOES-8 Satellite Data Over the ARM-SGP Site
Cloud Thickness Estimation from GOES-8 Satellite Data Over the ARM-SGP Site V. Chakrapani, D. R. Doelling, and A. D. Rapp Analytical Services and Materials, Inc. Hampton, Virginia P. Minnis National Aeronautics
More informationAdvancing Operational HWRF Model for Improved Tropical Cyclone Forecasts Transition of HFIP Supported Research to Operations
Advancing Operational HWRF Model for Improved Tropical Cyclone Forecasts Transition of HFIP Supported Research to Operations Vijay Tallapragada NOAA/NCEP/EMC HFIP AO Round 2 Year 1 Review Meeting, June
More informationTHE STRATEGIC PLAN OF THE HYDROMETEOROLOGICAL PREDICTION CENTER
THE STRATEGIC PLAN OF THE HYDROMETEOROLOGICAL PREDICTION CENTER FISCAL YEARS 2012 2016 INTRODUCTION Over the next ten years, the National Weather Service (NWS) of the National Oceanic and Atmospheric Administration
More informationP1.24 USE OF ACTIVE REMOTE SENSORS TO IMPROVE THE ACCURACY OF CLOUD TOP HEIGHTS DERIVED FROM THERMAL SATELLITE OBSERVATIONS
P1.24 USE OF ACTIVE REMOTE SENSORS TO IMPROVE THE ACCURACY OF CLOUD TOP HEIGHTS DERIVED FROM THERMAL SATELLITE OBSERVATIONS Chris R. Yost* Patrick Minnis NASA Langley Research Center, Hampton, Virginia
More informationIMPACT OF DRIZZLE AND 3D CLOUD STRUCTURE ON REMOTE SENSING OF CLOUD EFFECTIVE RADIUS
IMPACT OF DRIZZLE AND 3D CLOUD STRUCTURE ON REMOTE SENSING OF CLOUD EFFECTIVE RADIUS Tobias Zinner 1, Gala Wind 2, Steven Platnick 2, Andy Ackerman 3 1 Deutsches Zentrum für Luft- und Raumfahrt (DLR) Oberpfaffenhofen,
More informationASSESSMENT OF THE CAPABILITY OF WRF MODEL TO ESTIMATE CLOUDS AT DIFFERENT TEMPORAL AND SPATIAL SCALES
16TH WRF USER WORKSHOP, BOULDER, JUNE 2015 ASSESSMENT OF THE CAPABILITY OF WRF MODEL TO ESTIMATE CLOUDS AT DIFFERENT TEMPORAL AND SPATIAL SCALES Clara Arbizu-Barrena, David Pozo-Vázquez, José A. Ruiz-Arias,
More informationTotal radiative heating/cooling rates.
Lecture. Total radiative heating/cooling rates. Objectives:. Solar heating rates.. Total radiative heating/cooling rates in a cloudy atmosphere.. Total radiative heating/cooling rates in different aerosol-laden
More informationClimatology of aerosol and cloud properties at the ARM sites:
Climatology of aerosol and cloud properties at the ARM sites: MFRSR combined with other measurements Qilong Min ASRC, SUNY at Albany MFRSR: Spectral irradiances at 6 six wavelength passbands: 415, 500,
More informationEnergy Pathways in Earth s Atmosphere
BRSP - 10 Page 1 Solar radiation reaching Earth s atmosphere includes a wide spectrum of wavelengths. In addition to visible light there is radiation of higher energy and shorter wavelength called ultraviolet
More informationMonsoon Variability and Extreme Weather Events
Monsoon Variability and Extreme Weather Events M Rajeevan National Climate Centre India Meteorological Department Pune 411 005 rajeevan@imdpune.gov.in Outline of the presentation Monsoon rainfall Variability
More informationRoelof Bruintjes, Sarah Tessendorf, Jim Wilson, Rita Roberts, Courtney Weeks and Duncan Axisa WMA Annual meeting 26 April 2012
Aerosol affects on the microphysics of precipitation development in tropical and sub-tropical convective clouds using dual-polarization radar and airborne measurements. Roelof Bruintjes, Sarah Tessendorf,
More informationEnsuring the Preparedness of Users: NOAA Satellites GOES R, JPSS Laura K. Furgione
Ensuring the Preparedness of Users: NOAA Satellites GOES R, JPSS Laura K. Furgione U.S. Permanent Representative with the WMO Deputy Director, NOAA s s National Weather Service WMO Executive Council 65
More informationPassive and Active Microwave Remote Sensing of Cold-Cloud Precipitation : Wakasa Bay Field Campaign 2003
Passive and Active Microwave Remote Sensing of Cold-Cloud Precipitation : Wakasa Bay Field Campaign 3 Benjamin T. Johnson,, Gail Skofronick-Jackson 3, Jim Wang 3, Grant Petty jbenjam@neptune.gsfc.nasa.gov
More informationDeveloping sub-domain verification methods based on Geographic Information System (GIS) tools
APPROVED FOR PUBLIC RELEASE: DISTRIBUTION UNLIMITED U.S. Army Research, Development and Engineering Command Developing sub-domain verification methods based on Geographic Information System (GIS) tools
More informationLagrangian representation of microphysics in numerical models. Formulation and application to cloud geo-engineering problem
Lagrangian representation of microphysics in numerical models. Formulation and application to cloud geo-engineering problem M. Andrejczuk and A. Gadian University of Oxford University of Leeds Outline
More informationImproving Mesoscale Prediction of Cloud Regime Transitions in LES and NRL COAMPS
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Improving Mesoscale Prediction of Cloud Regime Transitions in LES and NRL COAMPS David B. Mechem Atmospheric Science Program,
More informationREDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES
REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES Mitigating Energy Risk through On-Site Monitoring Marie Schnitzer, Vice President of Consulting Services Christopher Thuman, Senior Meteorologist Peter Johnson,
More informationFormation & Classification
CLOUDS Formation & Classification DR. K. K. CHANDRA Department of forestry, Wildlife & Environmental Sciences, GGV, Bilaspur What is Cloud It is mass of tiny water droplets or ice crystals or both of size
More informationSatellite remote sensing using AVHRR, ATSR, MODIS, METEOSAT, MSG
Satellite remote sensing using AVHRR, ATSR, MODIS, METEOSAT, MSG Ralf Meerkötter, Luca Bugliaro, Knut Dammann, Gerhard Gesell, Christine König, Waldemar Krebs, Hermann Mannstein, Bernhard Mayer, presented
More informationDevelopmental Testbed Center Report AOP 2014 Activities 1 April 2014 31 March 2015
Developmental Testbed Center Report AOP 2014 Activities 1 April 2014 31 March 2015 1 Introduction The Developmental Testbed Center (DTC) is a distributed facility with components at the National Center
More informationMSG-SEVIRI cloud physical properties for model evaluations
Rob Roebeling Weather Research Thanks to: Hartwig Deneke, Bastiaan Jonkheid, Wouter Greuell, Jan Fokke Meirink and Erwin Wolters (KNMI) MSG-SEVIRI cloud physical properties for model evaluations Cloud
More information