Iden%fying CESM cloud and surface biases at Summit, Greenland

Size: px
Start display at page:

Download "Iden%fying CESM cloud and surface biases at Summit, Greenland"

Transcription

1 Iden%fying CESM cloud and surface biases at Summit, Greenland Nathaniel Miller (CU- ATOC, CIRES) MaEhew Shupe, Andrew GeEleman, Jennifer Kay, Line Bourdages CESM Ice Sheet Surface Biases Cross Working Group Session June 16, 215

2 ICECAPS Mobile Science Facility Eleva%on 3255m N W Shupe et. al. BAMS 213 2

3 Co -1 b) Annual Cycle of Surface Radia%ve Flux All-sky (ETH) Clear-sky (RRTM) J F M A M J J A S O N D Month of Year Total Flux [Wm -2 ] Ground- based Radia%on Measurements Swiss Federal Ins%tute, Zürich (ETH)

4 Co -1 b) Annual Cycle of Surface Radia%ve Flux All-sky (ETH) Clear-sky (RRTM) J F M A M J J A S O N D Month of Year Total Flux [Wm -2 ] Cloud radia%ve forcing (CRF) is an es%ma%on of a cloud s impact on the radia%ve flux at the surface. CRF = Flux all- sky, measured Flux clear- sky, modeled Best es%mate atmospheric profiles Rapid Radia%ve Transfer Model (RRTM)

5 Annual Cycle of Cloud Radia%ve Forcing SW CRF [Wm -2 ] LW CRF [Wm -2 ] CRF [Wm -2 ] a) b) c) Downwelling Upwelling Net LW SW Total J F M A M J J A S O N D Month of Year 5

6 Surface albedo important for CRF Cloud Rad. Forcing [Wm -2 ] Summit ( ) Barrow ( ) SHEBA ( ) Arctic Ocean 7-82N (26-211) J F M A M J J A S O N D Month of Year Miller et. al. J. Climate [in press] Dong et. al. 21, JGR Shupe and Intrieri 24, J. of Climate Kay and L Ecuyer 213, JGR Central Greenland is a unique Arc%c loca%on 6

7 High year round cloud frac%on 86% Cloud phase is important for magnitude of LW CRF LWP [g m -2 ] Cloud Fraction [%] SW CRF [Wm -2 ] LW CRF [Wm -2 ] 1 CRF [Wm -2 ] a) b) Downwelling Upwelling Net Cloud Fraction All LWP LWP > 5 gm -2 LW SW Total Liquid Present J F M A M J J A S O N D

8 Summit Summit Figure by Line Bourdages Lidar scaeering ra%o (SR) threshold of 5 = LWP sensi%vity of.1.2 g/m 2 (see poster [J. Kay] for more COSP simulator comparisons)

9

10 CAM changes to the aerosol mode widths = runs M1 and M2 New version of cloud microphysics (MG2) Prognos%c precipita%on, New ac%va%on (GeKelman and Morrison 215, J. Climate) New mixed phase ice nulcea%on Mixed phase a func%on of Aerosols

11 LWP [gm -2 ] ICECAPS CESM-M1 CESM-M2 Summit, Monthly averages, LWP 5 J F M A M J J A S O N D Month of Year

12 SW CRF [Wm -2 ] LW CRF [Wm -2 ] CRF [Wm -2 ] Albedo a) SW CRF 1. Observations ETH CESM-M1 CAM5 CESM-M1 CESM-M2.95 b) LW CRF.9 c) Total CRF.85.8 J F M A M J J A S O N D Month of Year J F M A M J J A S O N D Summer Month CRF Observa%ons CESM CAM5 CESM- M1 Annual CRF 3 Wm Wm Wm Wm Wm Wm - 2

13 Flux [Wm -2 ] Flux [Wm -2 ] Albedo Observations ETH CESM-M1 CESM-M2.95 a) SW down.9 b) LW down.85.8 J FJ M F A M M A J M J J A JS AO NS DO N D Month of Year Month

14 1. Observations CESM-M1.95 Albedo J F M A M J J A S O N D Month

15 Cloud Influence on other surface energy budget terms SEB = SWnet + LWnet + Hsensible + Hlatent + Gstorage Melt þ þ? Turbulent Fluxes (H) Sensible and Latent Heat Fluxes Eddy Covariance method Bulk Aerodynamic method Heat Storage (G) Thermistor String 15

16 Thank you This research is supported by the Na%onal Science Founda%on under grants PLR and PLR Thanks to the Swiss Federal Ins%tute for providing the ETH broadband radiometer measurements. Addi%onal broadband radia%on measurements, ozonesonde soundings, CO 2 measurements, and near- surface meteorological tower data are provided by the Na%onal Oceanic and Atmospheric Administra%on s Global Monitoring Division. Thanks to Polar Field Services and the various science technicians for their excellent support of the field experiments at Summit Sta%on. 16

17 Summer Daily Maximum Temperatures Summer maximum temperatures are cri%cal to represent because they have the greatest impact on melt extent In order to accurately represent surface temperatures à need to capture the frequency of occurrence and phase of clouds above the GIS

18

19 Component Flux [Wm -2 ] a) SW ETH CESM CESM-M1 CESM-M2 Other factors effect upwelling radia%on: Albedo 2-5% too low Temperature inversion strength too weak? -1 b) LW c) Total J F M A M J J A S O N D Month of Year 4-4 Total Flux [Wm -2 ]

20 For elevated sun angles (low SZA) the op%mal LWP = 1-4 gm - 2 for maximum surface warming Mean Total CRF [W/m 2 ] 6 LWP [g/m 2 ] Solar Zenith Angle

21 Inputs: Clear- Sky Es%mate via Rapid radia%ve transfer model (RRTM) Merged temperature profiles ECMWF, twice daily radiosondes, MWR derived boundary layer profiles Merged moisture profiles ECMWF, twice daily radiosondes, scaled by MWR derived PWV Snow emissivity =.985 Clear- sky snow albedo à CO 2 mixing ra%o Standard subarc%c winter o N 2 O, CO, CH 4 and O 2 Ozonesonde profile Surface temperature o derived from LW measurements Albedo y = x Solar Zenith Angle [degrees]

22 Clear- Sky Residuals [Number Bin -1 ] a) LW clear-sky & no rime c) SW clear-sky SZA < 9 15 & no rime [Number Bin -1 ] b) LW ETH - RRTM [Wm -2 ] 2 d) SW ETH - RRTM [Wm -2 ] 22

23 1 LW CRF [Wm -2 ] LWP [gm -2 ] The physical depth of an ice- cloud influences the op%cal depth LW CRF [W/m 2 ] Predominantly Ice Clouds (LWP < 5. gm -2 ) Linear rela%onship between cloud thickness and LW CRF SW CRF [W/m 2 ] -2-4 SZA < Cloud Thickness [km]

24 FIG. 7.ContoursofthecloudLWPvalueatwhichpointtheSW surface cloud cooling effect becomes dominant over the LW warming effect as a function of u and a s.thefollowingparametersareassumed: T c 5218C, z c 5 1km,t al 5.9, and t as FIG. 8.Therelation scenes with liquid (do dashed line). The cur parameters in 38 bins.

25 Greenland Ice Sheet Increasing Greenland melt extent The GIS is over 3.2 km deep at Summit Sta%on Observed increase in GIS melt rate and extent (Mernild et. al. 211, J. Glac.) has global and regional impacts. For surface temperatures close to 273K a small But present-day melt fractio in CESM-LE less than observed change in the surface energy budget can have substan%al implica%ons for the surface mass balance. CESM- LE, J. Kay

Sensitivity of Surface Cloud Radiative Forcing to Arctic Cloud Properties

Sensitivity 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 information

Cloud Radiative Forcing of the Arctic Surface: The Influence of Cloud Properties, Surface Albedo, and Solar Zenith Angle

Cloud Radiative Forcing of the Arctic Surface: The Influence of Cloud Properties, Surface Albedo, and Solar Zenith Angle 616 JOURNAL OF CLIMATE Cloud Radiative Forcing of the Arctic Surface: The Influence of Cloud Properties, Surface Albedo, and Solar Zenith Angle MATTHEW D. SHUPE Science and Technology Corporation, NOAA/Environmental

More information

The Surface Energy Budget

The 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 information

A transitioning Arctic surface energy budget: the impacts of solar zenith angle, surface albedo and cloud radiative forcing

A transitioning Arctic surface energy budget: the impacts of solar zenith angle, surface albedo and cloud radiative forcing Clim Dyn DOI 1.17/s382-1-937- A transitioning Arctic surface energy budget: the impacts of solar zenith angle, surface albedo and cloud radiative forcing Joseph Sedlar Michael Tjernström Thorsten Mauritsen

More information

RADIATION 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. 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 information

Total radiative heating/cooling rates.

Total 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 information

Marko Markovic Department of Earth and Atmospheric Sciences. University of Quebec at Montreal

Marko Markovic Department of Earth and Atmospheric Sciences. University of Quebec at Montreal An Evaluation of the Surface Radiation Budget Over North America for a Suite of Regional Climate Models and Reanalysis Data, Part 1: Comparison to Surface Stations Observations Marko Markovic Department

More information

The 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 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 information

Radiative effects of clouds, ice sheet and sea ice in the Antarctic

Radiative 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 information

Ecosystem-land-surface-BL-cloud coupling as climate changes

Ecosystem-land-surface-BL-cloud coupling as climate changes Ecosystem-land-surface-BL-cloud coupling as climate changes Alan K. Betts Atmospheric Research, akbetts@aol.com CMMAP August 19, 2009 Outline of Talk Land-surface climate: - surface, BL & cloud coupling

More information

Cloud Radiation and the Law of Attraction

Cloud 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 information

What 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 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 information

The Marine Stratocumulus. Yi Lu Aerosol, Cloud, and Climate. Class Paper April 8th, 2013

The Marine Stratocumulus. Yi Lu Aerosol, Cloud, and Climate. Class Paper April 8th, 2013 The Marine Stratocumulus Yi Lu Aerosol, Cloud, and Climate. Class Paper April 8th, 2013 Aerosols Climate Clouds Dust Wildfire Volcano Bk/Brn Carbon SOA Aerosols Climate Clouds Dust Wildfire Volcano Bk/Brn

More information

Observed 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 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 information

Continental 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 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 information

Using ARM Observations to Evaluate Cloud and Clear-Sky Radiation Processes as Simulated by the Canadian Regional Climate Model GEM

Using ARM Observations to Evaluate Cloud and Clear-Sky Radiation Processes as Simulated by the Canadian Regional Climate Model GEM 818 M O N T H L Y W E A T H E R R E V I E W VOLUME 138 Using ARM Observations to Evaluate Cloud and Clear-Sky Radiation Processes as Simulated by the Canadian Regional Climate Model GEM DANAHÉ PAQUIN-RICARD

More information

Solar Flux and Flux Density. Lecture 3: Global Energy Cycle. Solar Energy Incident On the Earth. Solar Flux Density Reaching Earth

Solar Flux and Flux Density. Lecture 3: Global Energy Cycle. Solar Energy Incident On the Earth. Solar Flux Density Reaching Earth Lecture 3: Global Energy Cycle Solar Flux and Flux Density Planetary energy balance Greenhouse Effect Vertical energy balance Latitudinal energy balance Seasonal and diurnal cycles Solar Luminosity (L)

More information

Clouds at Arctic Atmospheric Observatories. Part I: Occurrence and Macrophysical Properties

Clouds at Arctic Atmospheric Observatories. Part I: Occurrence and Macrophysical Properties 626 J O U R N A L O F A P P L I E D M E T E O R O L O G Y A N D C L I M A T O L O G Y VOLUME 50 Clouds at Arctic Atmospheric Observatories. Part I: Occurrence and Macrophysical Properties MATTHEW D. SHUPE,*

More information

Selected Ac)vi)es Overseen by the WDAC

Selected Ac)vi)es Overseen by the WDAC Selected Ac)vi)es Overseen by the WDAC Some background obs4mips ana4mips CREATE- IP (in planning stage) Contribu)ons from: M. Bosilovich, O. Brown, V. Eyring, R. Ferraro., P. Gleckler, R. Joseph, J. PoQer,

More information

Microwave observations in the presence of cloud and precipitation

Microwave observations in the presence of cloud and precipitation Microwave observations in the presence of cloud and precipitation Alan Geer Thanks to: Bill Bell, Peter Bauer, Fabrizio Baordo, Niels Bormann Slide 1 ECMWF/EUMETSAT satellite course 2015: Microwave 2 Slide

More information

Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data

Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data X. Xiong QSS Group, Inc. National Oceanic and Atmospheric Administration

More information

Impact 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 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 information

The Influence of Cloud and Surface Properties on the Arctic Ocean Shortwave Radiation Budget in Coupled Models*

The Influence of Cloud and Surface Properties on the Arctic Ocean Shortwave Radiation Budget in Coupled Models* 866 J O U R N A L O F C L I M A T E VOLUME 21 The Influence of Cloud and Surface Properties on the Arctic Ocean Shortwave Radiation Budget in Coupled Models* IRINA V. GORODETSKAYA Lamont-Doherty Earth

More information

CALIPSO, CloudSat, CERES, and MODIS Merged Data Product

CALIPSO, CloudSat, CERES, and MODIS Merged Data Product CALIPSO, CloudSat, CERES, and MODIS Merged Data Product Seiji Kato 1, Sunny Sun-Mack 2, Walter F. Miller 2, Fred G. Rose 2, and Victor E. Sothcott 2 1 NASA Langley Research Center 2 Science and Systems

More information

Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations

Developing 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 information

Arctic Surface, Cloud, and Radiation Properties Based on the AVHRR Polar Pathfinder Dataset. Part I: Spatial and Temporal Characteristics

Arctic 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 information

Comparison of Cloud and Radiation Variability Reported by Surface Observers, ISCCP, and ERBS

Comparison of Cloud and Radiation Variability Reported by Surface Observers, ISCCP, and ERBS Comparison of Cloud and Radiation Variability Reported by Surface Observers, ISCCP, and ERBS Joel Norris (SIO/UCSD) Cloud Assessment Workshop April 5, 2005 Outline brief satellite data description upper-level

More information

A new positive cloud feedback?

A 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 information

Clouds and the Energy Cycle

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 information

An assessment of microwave absorption models and retrievals of cloud liquid water using clear-sky data

An assessment of microwave absorption models and retrievals of cloud liquid water using clear-sky data JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. D24, 4773, doi:10.1029/2003jd003843, 2003 An assessment of microwave absorption models and retrievals of cloud liquid water using clear-sky data Roger Marchand,

More information

Ecosystem change and landsurface-cloud

Ecosystem change and landsurface-cloud Ecosystem change and landsurface-cloud coupling Alan K. Betts Atmospheric Research, akbetts@aol.com Congress on Climate Change 8)Earth System Feedbacks and Carbon Sequestration Copenhagen, March 10, 2009

More information

How To Model An Ac Cloud

How 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 information

Evaluation of clouds in GCMs using ARM-data: A time-step approach

Evaluation 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 information

Can latent heat release have a negative effect on polar low intensity?

Can 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 information

CERES Edition 2 & Edition 3 Cloud Cover, Cloud Altitude and Temperature

CERES Edition 2 & Edition 3 Cloud Cover, Cloud Altitude and Temperature CERES Edition 2 & Edition 3 Cloud Cover, Cloud Altitude and Temperature S. Sun-Mack 1, P. Minnis 2, Y. Chen 1, R. Smith 1, Q. Z. Trepte 1, F. -L. Chang, D. Winker 2 (1) SSAI, Hampton, VA (2) NASA Langley

More information

Multiangle cloud remote sensing from

Multiangle cloud remote sensing from Multiangle cloud remote sensing from POLDER3/PARASOL Cloud phase, optical thickness and albedo F. Parol, J. Riedi, S. Zeng, C. Vanbauce, N. Ferlay, F. Thieuleux, L.C. Labonnote and C. Cornet Laboratoire

More information

Orbital-Scale Climate Change

Orbital-Scale Climate Change Orbital-Scale Climate Change Climate Needed for Ice Age Warm winter and non-frozen oceans so lots of evaporation and snowfall Cool summer so that ice does not melt Ice Age Model When ice growing ocean

More information

Fundamentals of Climate Change (PCC 587): Water Vapor

Fundamentals 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 information

A process oriented descrip-on of oceanic clouds derived from A- train observa-ons, for climate model evalua-on

A process oriented descrip-on of oceanic clouds derived from A- train observa-ons, for climate model evalua-on A process oriented descrip-on of oceanic clouds derived from A- train observa-ons, for climate model evalua-on D. Konsta, H. Chepfer, JL Dufresne, G. Cesana, S. Bony LMD/IPSL Konsta D. et al : A process

More information

Cloud effects on the surface energy and mass balance of Brewster Glacier, New Zealand

Cloud effects on the surface energy and mass balance of Brewster Glacier, New Zealand The Cryosphere Discuss., 9, 97 19, www.the-cryosphere-discuss.net/9/97// doi:.194/tcd-9-97- Author(s). CC Attribution 3. License. This discussion paper is/has been under review for the journal The Cryosphere

More information

ARM SWS to study cloud drop size within the clear-cloud transition zone

ARM SWS to study cloud drop size within the clear-cloud transition zone ARM SWS to study cloud drop size within the clear-cloud transition zone (GSFC) Yuri Knyazikhin Boston University Christine Chiu University of Reading Warren Wiscombe GSFC Thanks to Peter Pilewskie (UC)

More information

Projections of sea level rise

Projections of sea level rise Projections of sea level rise Jonathan Gregory Lead author, Chapter 13, Sea level change Yann Arthus-Bertrand / Altitude Causes of global mean sea level rise (GMSLR) Global mean sea level rise is caused

More information

How does snow melt? Principles of snow melt. Energy balance. GEO4430 snow hydrology 21.03.2006. Energy flux onto a unit surface:

How 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 information

IMPACT OF REDUCED SEA ICE CONCENTRATION ON THE ANTARCTIC MASS BALANCE. Ian Simmonds

IMPACT OF REDUCED SEA ICE CONCENTRATION ON THE ANTARCTIC MASS BALANCE. Ian Simmonds 39 IMPACT OF REDUCED SEA ICE CONCENTRATION ON THE ANTARCTIC MASS BALANCE Ian Simmonds 1. INTRODUCTION The study of climate in polar regions is complicated by the existence of sea ice. Associated with this

More information

The study of cloud and aerosol properties during CalNex using newly developed spectral methods

The study of cloud and aerosol properties during CalNex using newly developed spectral methods The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt, Peter Pilewskie University of Colorado, ATOC/LASP

More information

Chapter Overview. Seasons. Earth s Seasons. Distribution of Solar Energy. Solar Energy on Earth. CHAPTER 6 Air-Sea Interaction

Chapter Overview. Seasons. Earth s Seasons. Distribution of Solar Energy. Solar Energy on Earth. CHAPTER 6 Air-Sea Interaction Chapter Overview CHAPTER 6 Air-Sea Interaction The atmosphere and the ocean are one independent system. Earth has seasons because of the tilt on its axis. There are three major wind belts in each hemisphere.

More information

Simulation of turbulent exchange processes in summertime leads

Simulation of turbulent exchange processes in summertime leads JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110,, doi:10.1029/2004jc002502, 2005 Simulation of turbulent exchange processes in summertime leads Eric D. Skyllingstad and Clayton A. Paulson College of Oceanic

More information

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity

Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity Seasonal & Daily Temperatures Seasons & Sun's Distance The role of Earth's tilt, revolution, & rotation in causing spatial, seasonal, & daily temperature variations Please read Chapter 3 in Ahrens Figure

More information

CRM simula+ons with parameterized large- scale dynamics using +me- dependent forcings from observa+ons

CRM simula+ons with parameterized large- scale dynamics using +me- dependent forcings from observa+ons CRM simula+ons with parameterized large- scale dynamics using +me- dependent forcings from observa+ons Shuguang Wang, Adam Sobel, Zhiming Kuang Zhiming & Kerry s workshop Harvard, March 2012 In tropical

More information

Improvement in the Assessment of SIRS Broadband Longwave Radiation Data Quality

Improvement in the Assessment of SIRS Broadband Longwave Radiation Data Quality Improvement in the Assessment of SIRS Broadband Longwave Radiation Data Quality M. E. Splitt University of Utah Salt Lake City, Utah C. P. Bahrmann Cooperative Institute for Meteorological Satellite Studies

More information

Month-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 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 information

Surface Atmosphere Radia3on Budget (SARB) working group update

Surface Atmosphere Radia3on Budget (SARB) working group update Surface Atmosphere Radia3on Budget (SARB) working group update Seiji Kato 1, Fred G. Rose 2, David A. Rutan 2, Alexander Radkevich 2, Thomas E. Caldwell 2, Antonio Viudez- Mora 2, Seung Hee Ham 2, and

More information

Chapter 2: Solar Radiation and Seasons

Chapter 2: Solar Radiation and Seasons Chapter 2: Solar Radiation and Seasons Spectrum of Radiation Intensity and Peak Wavelength of Radiation Solar (shortwave) Radiation Terrestrial (longwave) Radiations How to Change Air Temperature? Add

More information

Radiometer Physics GmbH Discrimination of cloud and rain liquid water path by groundbased polarized microwave radiometry

Radiometer Physics GmbH Discrimination of cloud and rain liquid water path by groundbased polarized microwave radiometry Radiometer Physics GmbH Discrimination of cloud and rain liquid water path by groundbased polarized microwave radiometry Harald Czekala RPG Radiometer Physics GmbH AOGS Meeting, Singapore, July 6, 2004

More information

Clouds & Radia,ons. About the remote sensing of clouds. Hélène Chepfer Laboratoire de Météorologie Dynamique / IPSL Université Pierre et Marie Cuire

Clouds & Radia,ons. About the remote sensing of clouds. Hélène Chepfer Laboratoire de Météorologie Dynamique / IPSL Université Pierre et Marie Cuire Clouds & Radia,ons About the remote sensing of clouds Hélène Chepfer Laboratoire de Météorologie Dynamique / IPSL Université Pierre et Marie Cuire Satellites & Clouds From TIROS 1960 To ISCCP (1980 ) To

More information

Towards an NWP-testbed

Towards an NWP-testbed Towards an NWP-testbed Ewan O Connor and Robin Hogan University of Reading, UK Overview Cloud schemes in NWP models are basically the same as in climate models, but easier to evaluate using ARM because:

More information

Climatology of aerosol and cloud properties at the ARM sites:

Climatology 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 information

Long-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility

Long-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility Long-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility Arunchandra S. Chandra Pavlos Kollias Department of Atmospheric

More information

THE CURIOUS CASE OF THE PLIOCENE CLIMATE. Chris Brierley, Alexey Fedorov and Zhonghui Lui

THE CURIOUS CASE OF THE PLIOCENE CLIMATE. Chris Brierley, Alexey Fedorov and Zhonghui Lui THE CURIOUS CASE OF THE PLIOCENE CLIMATE Chris Brierley, Alexey Fedorov and Zhonghui Lui Outline Introduce the warm early Pliocene Recent Discoveries in the Tropics Reconstructing the early Pliocene SSTs

More information

How To Understand Cloud Radiative Effects

How To Understand Cloud Radiative Effects A Climatology of Surface Radiation, Cloud Cover, and Cloud Radiative Effects for the ARM Tropical Western Pacific Sites. Chuck Long, Casey Burleyson, Jennifer Comstock, Zhe Feng September 11, 2014 Presented

More information

An assessment of recent water vapor continuum measurements upon longwave and shortwave radiative transfer

An assessment of recent water vapor continuum measurements upon longwave and shortwave radiative transfer JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116,, doi:10.1029/2010jd015505, 2011 An assessment of recent water vapor continuum measurements upon longwave and shortwave radiative transfer D. J. Paynter 1 and

More information

CAUSES. (Clouds Above the United States and Errors at the Surface)

CAUSES. (Clouds Above the United States and Errors at the Surface) CAUSES (Clouds Above the United States and Errors at the Surface) Cloud-regime analysis to find the causes of surface temperature errors in weather and climate models Cyril Morcrette and Kwinten Van Weverberg

More information

Corso di Fisica Te T cnica Ambientale Solar Radiation

Corso di Fisica Te T cnica Ambientale Solar Radiation Solar Radiation Solar radiation i The Sun The Sun is the primary natural energy source for our planet. It has a diameter D = 1.39x10 6 km and a mass M = 1.989x10 30 kg and it is constituted by 1/3 of He

More information

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center

Jessica Blunden, Ph.D., Scientist, ERT Inc., Climate Monitoring Branch, NOAA s National Climatic Data Center Kathryn Sullivan, Ph.D, Acting Under Secretary of Commerce for Oceans and Atmosphere and NOAA Administrator Thomas R. Karl, L.H.D., Director,, and Chair of the Subcommittee on Global Change Research Jessica

More information

Cloud Climatology for New Zealand and Implications for Radiation Fields

Cloud Climatology for New Zealand and Implications for Radiation Fields Cloud Climatology for New Zealand and Implications for Radiation Fields G. Pfister, R.L. McKenzie, J.B. Liley, A. Thomas National Institute of Water and Atmospheric Research, Lauder, New Zealand M.J. Uddstrom

More information

The 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 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 information

On the Relationship between Thermodynamic Structure and Cloud Top, and Its Climate Significance in the Arctic

On the Relationship between Thermodynamic Structure and Cloud Top, and Its Climate Significance in the Arctic 2374 J O U R N A L O F C L I M A T E VOLUME 25 On the Relationship between Thermodynamic Structure and Cloud Top, and Its Climate Significance in the Arctic JOSEPH SEDLAR Remote Sensing Division, Research

More information

CHAPTER 5 Lectures 10 & 11 Air Temperature and Air Temperature Cycles

CHAPTER 5 Lectures 10 & 11 Air Temperature and Air Temperature Cycles CHAPTER 5 Lectures 10 & 11 Air Temperature and Air Temperature Cycles I. Air Temperature: Five important factors influence air temperature: A. Insolation B. Latitude C. Surface types D. Coastal vs. interior

More information

Cloud detection and clearing for the MOPITT instrument

Cloud detection and clearing for the MOPITT instrument Cloud detection and clearing for the MOPITT instrument Juying Warner, John Gille, David P. Edwards and Paul Bailey National Center for Atmospheric Research, Boulder, Colorado ABSTRACT The Measurement Of

More information

Climate Models: Uncertainties due to Clouds. Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography

Climate Models: Uncertainties due to Clouds. Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography Climate Models: Uncertainties due to Clouds Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography Global mean radiative forcing of the climate system for

More information

On the relation between albedo, cloud fraction and aerosol optical depth in climate models and satellite observations

On the relation between albedo, cloud fraction and aerosol optical depth in climate models and satellite observations On the relation between albedo, cloud fraction and aerosol optical depth in climate models and satellite observations Frida Bender, Anders Engström, Johannes Karlsson Department of Meteorology and Bolin

More information

E- modeling Of The Arctic Cloud System

E- modeling Of The Arctic Cloud System GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L18801, doi:10.1029/2005gl023614, 2005 Possible roles of ice nucleation mode and ice nuclei depletion in the extended lifetime of Arctic mixed-phase clouds Hugh Morrison,

More information

Seasonal Temperature Variations

Seasonal Temperature Variations Seasonal and Daily Temperatures Fig. 3-CO, p. 54 Seasonal Temperature Variations What causes the seasons What governs the seasons is the amount of solar radiation reaching the ground What two primary factors

More information

TOPIC: CLOUD CLASSIFICATION

TOPIC: 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 information

Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington T. Besnard ATMOS SARL Le Mans, France

More information

How To Compare Cloud And Boundary Layer Variables In The Ecmwf Forecast Model With Observations At The Sheba Ice Camp

How To Compare Cloud And Boundary Layer Variables In The Ecmwf Forecast Model With Observations At The Sheba Ice Camp JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 105, NO. D10, PAGES 12,337 12,349, MAY 27, 2000 A comparison of cloud and boundary layer variables in the ECMWF forecast model with observations at Surface Heat Budget

More information

Arctic Cloud Microphysics Retrievals from Surface-Based Remote Sensors at SHEBA

Arctic Cloud Microphysics Retrievals from Surface-Based Remote Sensors at SHEBA 1544 J O U R N A L O F A P P L I E D M E T E O R O L O G Y VOLUME 44 Arctic Cloud Microphysics Retrievals from Surface-Based Remote Sensors at SHEBA MATTHEW D. SHUPE Cooperative Institute for Research

More information

Cloud Profiling at the Lindenberg Observatory

Cloud Profiling at the Lindenberg Observatory Cloud Profiling at the Lindenberg Observatory Ulrich Görsdorf DWD, Cloud Profiling with a Ka-Band radar at the Lindenberg Observatory Ulrich Görsdorf DWD, MIRA 35.5 GHz (8 mm) Radar (Ka-Band) Coherent

More information

ATM S 111, Global Warming: Understanding the Forecast

ATM 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 information

Thoughts on Mobile Instrument Facilities/ Logistics of Remote Data Collection

Thoughts on Mobile Instrument Facilities/ Logistics of Remote Data Collection Thoughts on Mobile Instrument Facilities/ Logistics of Remote Data Collection Douglas Sisterson ARM Climate Research Facility Operations Manager DOE Permafrost Workshop February 14-15, 2011 ARM Facilities

More information

Improving Representation of Turbulence and Clouds In Coarse-Grid CRMs

Improving Representation of Turbulence and Clouds In Coarse-Grid CRMs Improving Representation of Turbulence and Clouds In CoarseGrid CRMs Peter A. Bogenschutz and Steven K. Krueger University of Utah, Salt Lake City, UT Motivation Embedded CRMs in MMF typically have horizontal

More information

The influence of radiation on cloud-surface feedback mechanisms using Large Eddy Simulation

The influence of radiation on cloud-surface feedback mechanisms using Large Eddy Simulation The influence of radiation on cloud-surface feedback mechanisms using Large Eddy Simulation Natalie Theeuwes Supervisor: Thijs Heus Max Planck Institute for Meteorology, Hamburg, Germany August 2010 Abstract

More information

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon Supporting Online Material for Koren et al. Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon 1. MODIS new cloud detection algorithm The operational

More information

Earth s Cloud Feedback

Earth 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 information

Water, Phase Changes, Clouds

Water, Phase Changes, Clouds TUESDAY: air & water & clouds Water, Phase Changes, Clouds How can freezing make something warmer? 'warm air can hold more water' why? How do clouds form? The (extraordinary) properties of Water Physical

More information

Radiation Transfer in Environmental Science

Radiation Transfer in Environmental Science Radiation Transfer in Environmental Science with emphasis on aquatic and vegetation canopy media Autumn 2008 Prof. Emmanuel Boss, Dr. Eyal Rotenberg Introduction Radiation in Environmental sciences Most

More information

MICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION

MICROPHYSICS 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 information

The climate cooling potential of different geoengineering options

The 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 information

Turbulence in Continental Stratocumulus, Part I: External Forcings and Turbulence Structures

Turbulence in Continental Stratocumulus, Part I: External Forcings and Turbulence Structures Boundary-Layer Meteorol DOI 10.1007/s10546-013-9873-3 ARTICLE Turbulence in Continental Stratocumulus, Part I: External Forcings and Turbulence Structures Ming Fang BruceA.Albrecht Virendra P. Ghate Pavlos

More information

A glance at compensating errors between low-level cloud fraction and cloud optical properties using satellite retrievals

A glance at compensating errors between low-level cloud fraction and cloud optical properties using satellite retrievals A glance at compensating errors between low-level cloud fraction and cloud optical properties using satellite retrievals Christine Nam & Sandrine Bony Laboratoire de Météorologie Dynamique Structure Overview

More information

Supporting Online Material for

Supporting Online Material for www.sciencemag.org/cgi/content/full/1117368/dc1 Supporting Online Material for Role of Land-Surface Changes in Arctic Summer Warming F. S. Chapin III, 1 * M. Sturm, 2 M. C. Serreze, 3 J. P. McFadden, 4

More information

GCMs 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 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 information

EVOLUTION OF A STORM-DRIVEN CLOUDY BOUNDARY LAYER IN THE ARCTIC

EVOLUTION OF A STORM-DRIVEN CLOUDY BOUNDARY LAYER IN THE ARCTIC Boundary-Layer Meteorology (2005) 117: 213 230 Ó Springer 2005 DOI 10.1007/s10546-004-6003-2 EVOLUTION OF A STORM-DRIVEN CLOUDY BOUNDARY LAYER IN THE ARCTIC JUN INOUE 1; *, BRANKO KOSOVIC 2 and JUDITH

More information

Potential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies. Chien Wang (MIT)

Potential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies. Chien Wang (MIT) Potential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies Chien Wang (MIT) 1. A large-scale installation of windmills Desired Energy Output: supply 10% of the estimated world

More information

Data Sets of Climate Science

Data Sets of Climate Science The 5 Most Important Data Sets of Climate Science Photo: S. Rahmstorf This presentation was prepared on the occasion of the Arctic Expedition for Climate Action, July 2008. Author: Stefan Rahmstorf, Professor

More information

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) In this lecture How does turbulence affect the ensemble-mean equations of fluid motion/transport? Force balance in a quasi-steady turbulent boundary

More information

Glaciogenic Cloud Seeding to Increase Orographic Precipitation Bruce A. Boe bboe@weathermod.com Director of Meteorology

Glaciogenic Cloud Seeding to Increase Orographic Precipitation Bruce A. Boe bboe@weathermod.com Director of Meteorology Glaciogenic Cloud Seeding to Increase Orographic Precipitation Bruce A. Boe bboe@weathermod.com Director of Meteorology Weather Modification, Inc. Fargo, North Dakota, USA www.weathermodification.com Content

More information

An Introduction to Twomey Effect

An Introduction to Twomey Effect An Introduction to Twomey Effect Guillaume Mauger Aihua Zhu Mauna Loa, Hawaii on a clear day Mauna Loa, Hawaii on a dusty day Rayleigh scattering Mie scattering Non-selective scattering. The impact of

More information

Frank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A.

Frank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A. 376 THE SIMULATION OF TROPICAL CONVECTIVE SYSTEMS William M. Frank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A. ABSTRACT IN NUMERICAL

More information

Effects of land use in Southwest Australia: 1. Observations of cumulus cloudiness and energy fluxes

Effects of land use in Southwest Australia: 1. Observations of cumulus cloudiness and energy fluxes JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. D14, 4414, doi:10.1029/2002jd002654, 2003 Effects of land use in Southwest Australia: 1. Observations of cumulus cloudiness and energy fluxes Deepak K. Ray,

More information