Polar Boundary Layer Process & MOSAiC
|
|
- Charleen Dickerson
- 6 years ago
- Views:
Transcription
1 Polar Boundary Layer Process & MOSAiC Ian Brooks
2 Tjernstrom et al ARCMIP model temperature biases (black = autumn, grey = winter, black-dash = spring, grey-dash = summer)
3 Boundary Layer Issues Stable boundary layers Surface turbulent exchange Over ice/snow & mixed sea ice & water Stable stratification Strongly forced conditions (high wind / high T) Boundary-layer cloud Mixed phase Interactions with turbulence Interactions with aerosol Interactions with radiation
4 OBS Global models generally do a poor job of representing the Arctic BL and cloud Birch et al. 2012, ACP Operational UM
5
6 ACCACIA: Aerosol-Cloud Coupling and Climate Interactions in the Arctic NERC Arctic Science Programme Consortium: RV Lance Leeds, Manchester, York, UEA BAS, Met Office (+ MPI, NOAA, Univ. Oslo) additional flying hours funded by NCAS and the MetOffice JCR Field campaigns: March/April & July/Aug 2013 Measurements: aerosol physics & chemistry (inc ice nuclei), cloud microphysics, BL thermodynamic & turbulent structure, surface aerosol & precursor gas (DMS) sources Modelling: detailed aerosol/microphysics process box modelling, LES, UM: operational model (case studies), SCM (parameterization tests), HADGEM (climate scale processes) WRF BL scheme test & development FAAM BAe 146 BAS Twin Otter (MASIN)
7 Large upward heat and moisture fluxes off the ice edge during cold air outbreaks convection and cloud formation. MetUM 4 km during B762: Ice concentration Winds (Model lev. 1) Sensible heat flux (Model lev. 1) Liquid water content (at ~700 m) Frozen water content (at ~700 m)
8 (MetUM - Obs) for potential temperature B759 B760 B761 B762-upwind B762 Upwind of ice edge B762-dnwind B764 B765 B767 B768 Consequently model is often too warm/cold following T sfc But B759 too warm; B760 cold over ice; B765 cold over MIZ
9 MetUM performance summary Discrepancies with sea-ice and T sfc prescription lead to some θ and SHFX differences e.g. SHFX too large due to sea-ice edge difference But other differences: too warm over MIZ (B759) too cold over sea-ice (B760) too cold in BL over MIZ (B765)
10 (MetUM - Obs) of sensible heat flux W/m 2 B759 B760 B761 B762-upwind B762 Upwind of ice edge B762-dnwind B764 B765 B767 B768 Model generally overestimates low level convective heat fluxes off the ice edge, whilst generally underestimating heat fluxes (too large negative values) higher up
11 MetUM performance summary Discrepancies with sea-ice and T sfc prescription lead to some θ and SHFX differences e.g. SHFX too large due to sea-ice edge difference But other differences: too warm over MIZ (B759) too cold over sea-ice (B760) too cold in BL over MIZ (B765) UM generally overestimates surface SHFX and underestimates BL SHFX (B759, 765) Is this due to BL height too high??
12 (MetUM - Obs) for liquid water content g/kg B759 B760 B761 B762-upwind B762 B762-dnwind B764 B765 B767 B768 Model generally simulates position of clouds accurately but substantially underestimates liquid water contents
13 MetUM performance summary Discrepancies with sea-ice and T sfc prescription lead to some θ and SHFX differences e.g. SHFX too large due to sea-ice edge difference But other differences: too warm over MIZ (B759) too cold over sea-ice (B760) too cold in BL over MIZ (B765) UM generally overestimates surface SHFX and underestimates BL SHFX (B759, 765) Is this due to BL height too high?? Underestimate of liquid water content (c.f. Field et al. 2013) Overestimate of frozen water content
14 Field et al. 2014: QJRMS
15 Default model Fails to represent Scu LWP too low Revised non-local BL scheme Produces SCu & transition of open cells BUT... LWP still too low Threshold T of -10C too high for onset of cloud ice (clean air mass default model aerosol too high?) Too efficient at removing liquid from cloud Microwave Obs Control Model 1.5km grid Modified Model Sh dom BL Thet=-18C New PSD
16 CMIP5 models: Mean bias of ~20 Wm -2 in surface SW flux SST bias of ~2K Major factor is poor representation of BL cloud, especially in cold sector of mid-latitude cyclones
17 ACSE: Summer 2014 measurements from icebreaker Oden of accelerated ice melt during warm advection & air mass modification Tjernström, M., et al., 2015: Warm-air advection, air mass transformation and fog causes rapid ice melt, Geophys. Res. Letts. 42. doi: /2015gl064373
18 Surface Exchange Surface turbulent flux bias (CMIP5 CERES/ERA)(W m -2 ) Loeb et al. 2015, Clim. Dyn.
19 Strongly Forced Conditions NCEP Aircraft EC % of time surface winds > 25 m s -1 Bourasa et al. 2013, BAMS ECMWF Obs from Petersen & Renfrew 2009
20 ACCACIA Elvidge, A. D., I. A. Renfrew, A. I. Weiss, I. M. Brooks, T. A. Lachlan-Cope, J. C. King, 2015: Observations of surface momentum exchange over the marginal-ice-zone and recommendations for its parameterization. Atmos. Chem. Phys. (submitted)
21 Coordinated sets of targeted observations are needed to refine flux parameterizations for high-latitude conditions and to provide calibration and validation data. Bourasa et al. 2013: High-Latitude Ocean and Sea Ice Surface Fluxes : Challenges for Climate Research, BAMS Challenges : Small spatial scales of flux variability (~10km) Rapid evolution of high latitude storm systems short time scales ~2 days to < 6 hours Surface heterogeneity Physics at scales down to metres matters Issues with satellite data at high latitudes (poleward of ~50 )...strong community consensus for an updated version of the SHEBA project and also for an Antarctic analog to SHEBA aimed at capturing differences between the sea ice zones of the Arctic (historically dominated by thick, multi-year ice) and the Antarctic (historically predominantly thinner first-year ice).
22 MOSAiC Multidisciplinary drifting Observatory for the Study of Arctic Climate Transpolar Drift track 2011 Objectives: Observe full sea-ice life cycle, starting in new ice. Trajectory that will last for at least (more than) 1 year Observe an understudied region Challenges: Central Arctic is isolated First year ice will be difficult
23 Sea Ice Energy Budget Decadal decline can be explained by ~1 W/m 2 excess. Kwok and Untersteiner (2011)
24 The MOSAiC Plan Central Arctic Basin, September 2019 > October ) Central Observatory: Coordinated atmos-ice-ocean-ecosystem observations 2) Distributed Network: Heterogeneity and variability on grid-box scales 3) Coordinated multi-scale modeling & analysis activities; link with YOPP
25 MOSAiC Key Milestones Planning Workshops: 2011, 2012, 2013 Polarstern proposal supported: 2015 US DOE ARM proposal supported: 2014 Draft Science Plan released: Agency/Funders Meeting: April 2015 Implementation Workshop: July 2015 Implementation Plan: MOSAiC Open Science Conference: 2016? Science-based Proposals:
26
27 PACES Air Pollution in the Arctic: climate, environment and societies Co-sponsored by IGAC and IASC Research priorities needing focused, collaborative, and international effort: Sources of air pollution in the Arctic imported and locally emitted Processing, fate, and impacts on climate and ecosystems Interactions and feedbacks between anthropogenic pollution and natural sources Arctic climate response to forcing within and outside of Arctic Societal perspectives: health, ecosystems, sustainability, adaptation, economics, politics. PACESE aims to foster and coordinate: Trans-disciplinary collaboration, including social sciences Regular long-term and intensive field observations focused on processes Improved modeling over range of scales Improving collaborations using existing resources, including data sharing
28 Coordinated activities onwards (tie to YOPP) What to focus on? - Local emissions in the Arctic - Long-range transport, pollutant processing - Wet + dry deposition - Pollutant recycling (interactions with natural cycles) What would be needed to make real progress in understanding? - Local pollution aircraft, UAVs, ULAs - Processing, LRT Lagrangian approach. - Deposition - aircraft/ UAVs+surface+ ships - Recycling+natural - ground-based
29 PACES Working Group on Improving Predictive Capabilities Leads: Chuck Brock [NOAA], Knut von Salzen [Environment Canada], Steve Arnold [Leeds] - Exploring possibility of Lagrangian experiments in timeframe (coordination with YOPP) - focus on processing and scavenging in plumes transported into Arctic (interest from NOAA, UK?, Japan, Russia, Germany/ France, NASA??) - Initial exploration of regions of opportunity for Lagrangian experiment - transport patterns / aircraft ranges - 1D model comparisons to look at scavenging identify key process uncertainties.
30
31 Observations of liquid water content (CDP) g/kg B759 B760 B761 B762-upwind B762 B762-dnwind B764 B765 B767 B768
32 MetUM for liquid water content [Note change in axis limits] g/kg B759 B760 B761 B762-upwind B762 B762-dnwind B764 B765 B767 B768 Model generally simulates position of clouds accurately but substantially underestimates liquid water contents
33 FAAM flights Mar-Apr 2013 Greyscale shading shows sea ice concentration (OSTIA): white = ice, grey = ocean B759 B760 B761 Group all legs roughly along a meridional or zonal vertical plane, giving 10 boundary cross sections (see next slides) Parallel with and upwind of ice edge Parallel with and downwind of ice edge All except two (highlighted red and blue) are across ice edge In all cases, flow is off ice-edge, i.e. cold air B762-upwind B dnwind outbreak off sea ice B764 B765 B767 B768
2.1 OBSERVATIONS AND THE PARAMETERISATION OF AIR-SEA FLUXES DURING DIAMET
2.1 OBSERVATIONS AND THE PARAMETERISATION OF AIR-SEA FLUXES DURING DIAMET Peter A. Cook * and Ian A. Renfrew School of Environmental Sciences, University of East Anglia, Norwich, UK 1. INTRODUCTION 1.1
More informationArctic Boundary Layer
Annual Seminar 2015 Physical processes in present and future large-scale models Arctic Boundary Layer Gunilla Svensson Department of Meteorology and Bolin Centre for Climate Research Stockholm University,
More informationPolar Weather Prediction
Polar Weather Prediction David H. Bromwich Session V YOPP Modelling Component Tuesday 14 July 2015 A special thanks to the following contributors: Kevin W. Manning, Jordan G. Powers, Keith M. Hines, Dan
More informationMACSSIMIZE. Measurements of Arctic Clouds, Snow, and Sea Ice nearby the Marginal Ice ZonE. Principal investigator. Chawn Harlow
MACSSIMIZE Measurements of Arctic Clouds, Snow, and Sea Ice nearby the Marginal Ice ZonE Principal investigator Chawn Harlow chawn.harlow@metoffice.gov.uk Met Office Areas of contribution Polar atmospheric
More informationResearch Programme Polar, Marine and Coastal Systems. Current and future Arctic research priorities of Germany Nicole Biebow, AWI
Research Programme Polar, Marine and Coastal Systems Current and future Arctic research priorities of Germany Nicole Biebow, AWI Arctic Science and Technology (S&T) Collaboration and Engagement Workshop,
More informationMOSAiC Science Implementation The Multidisciplinary drifting Observatory for the Study of Arctic Climate
MOSAiC Science Implementation The Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Coordination Team M. Shupe. 13 March 2016 MOSAiC Plan Drifting, interdisciplinary process
More informationModelling approaches for MOSAiC. Klaus Dethloff, A. Rinke, A. Sommerfeld, D. Klaus T. Vihma, M. Müller, J. Inoue, W. Maslowski & modelling team
Modelling approaches for MOSAiC Klaus Dethloff, A. Rinke, A. Sommerfeld, D. Klaus T. Vihma, M. Müller, J. Inoue, W. Maslowski & modelling team Why do we need MOSAiC? High quality co-observations of A-O-I-BGC-E
More informationCONSTRAIN proposal for grey zone model comparison case. Adrian Hill, Paul Field, Adrian Lock, Thomas Frederikse, Stephan de Roode, Pier Siebesma
CONSTRAIN proposal for grey zone model comparison case Adrian Hill, Paul Field, Adrian Lock, Thomas Frederikse, Stephan de Roode, Pier Siebesma Contents Introduction CONSTRAIN Overview of UM Limited Area
More informationDifferences from CERES EBAF
Summary of Session 3 (16 talks) A. Protat, S. Siems, R. Marchand Talk 1: Kalli Furtado (UKMO) SO SST bias linked to lack of SLW clouds in the UM model Developed a new parameterization using turbulence
More informationImproved Fields of Satellite-Derived Ocean Surface Turbulent Fluxes of Energy and Moisture
Improved Fields of Satellite-Derived Ocean Surface Turbulent Fluxes of Energy and Moisture First year report on NASA grant NNX09AJ49G PI: Mark A. Bourassa Co-Is: Carol Anne Clayson, Shawn Smith, and Gary
More informationChallenges and Observational Requirements for Advancement of Process-Oriented Regional Arctic Climate Modeling and Prediction
Challenges and Observational Requirements for Advancement of Process-Oriented Regional Arctic Climate Modeling and Prediction Wieslaw Maslowski 2 and Annette Rinke 1 1 Alfred Wegener Institute (AWI), 2
More informationDiabatic processes and the structure of extratropical cyclones
Geophysical and Nonlinear Fluid Dynamics Seminar AOPP, Oxford, 23 October 2012 Diabatic processes and the structure of extratropical cyclones Oscar Martínez-Alvarado R. Plant, J. Chagnon, S. Gray, J. Methven
More informationNOAA ESRL Physical Science Division Arc7c Cruises and Science
NOAA ESRL Physical Science Division Arc7c Cruises and Science Presented by Taneil U?al On Behalf of Ma?hew Shupe, Ola Persson, Byron Blomquist, Chris Fairall and Janet Intrieri Cloud and Radia7on Feedbacks
More informationAn Annual Cycle of Arctic Cloud Microphysics
An Annual Cycle of Arctic Cloud Microphysics M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal
More informationArctic System Reanalysis Provides Highresolution Accuracy for Arctic Studies
Arctic System Reanalysis Provides Highresolution Accuracy for Arctic Studies David H. Bromwich, Aaron Wilson, Lesheng Bai, Zhiquan Liu POLAR2018 Davos, Switzerland Arctic System Reanalysis Regional reanalysis
More informationArctic Climate Change. Glen Lesins Department of Physics and Atmospheric Science Dalhousie University Create Summer School, Alliston, July 2013
Arctic Climate Change Glen Lesins Department of Physics and Atmospheric Science Dalhousie University Create Summer School, Alliston, July 2013 When was this published? Observational Evidence for Arctic
More informationSpectral Albedos. a: dry snow. b: wet new snow. c: melting old snow. a: cold MY ice. b: melting MY ice. d: frozen pond. c: melting FY white ice
Spectral Albedos a: dry snow b: wet new snow a: cold MY ice c: melting old snow b: melting MY ice d: frozen pond c: melting FY white ice d: melting FY blue ice e: early MY pond e: ageing ponds Extinction
More informationArctic Atmospheric Rivers: Linking Atmospheric Synoptic Transport, Cloud Phase, Surface Energy Fluxes and Sea-Ice Growth
Arctic Atmospheric Rivers: Linking Atmospheric Synoptic Transport, Cloud Phase, Surface Energy Fluxes and Sea-Ice Growth Ola Persson Cooperative Institute for the Research in the Environmental Sciences,
More informationConstraining Model Predictions of Arctic Sea Ice With Observations. Chris Ander 27 April 2010 Atmos 6030
Constraining Model Predictions of Arctic Sea Ice With Observations Chris Ander 27 April 2010 Atmos 6030 Main Sources Boe et al., 2009: September sea-ice cover in the Arctic Ocean projected to vanish by
More informationClouds in the Climate System: Why is this such a difficult problem, and where do we go from here?
Clouds in the Climate System: Why is this such a difficult problem, and where do we go from here? Joel Norris Scripps Institution of Oceanography CERES Science Team Meeting April 29, 2009 Collaborators
More informationUsing volcanic eruptions to unlock the secrets of aerosol-cloud interactions. Jim Haywood
Using volcanic eruptions to unlock the secrets of aerosol-cloud interactions Jim Haywood Malavelle, F., et al., Strong constraints on aerosol-cloud interactions from volcanic eruptions, Nature, June 22
More informationArctic sea ice response to atmospheric forcings with varying levels of anthropogenic warming and climate variability
GEOPHYSICAL RESEARCH LETTERS, VOL. 37,, doi:10.1029/2010gl044988, 2010 Arctic sea ice response to atmospheric forcings with varying levels of anthropogenic warming and climate variability Jinlun Zhang,
More informationThe role of sea-ice in extended range prediction of atmosphere and ocean
The role of sea-ice in extended range prediction of atmosphere and ocean Virginie Guemas with contributions from Matthieu Chevallier, Neven Fučkar, Agathe Germe, Torben Koenigk, Steffen Tietsche Workshop
More informationChallenges for Climate Science in the Arctic. Ralf Döscher Rossby Centre, SMHI, Sweden
Challenges for Climate Science in the Arctic Ralf Döscher Rossby Centre, SMHI, Sweden The Arctic is changing 1) Why is Arctic sea ice disappearing so rapidly? 2) What are the local and remote consequences?
More informationDmitry Dukhovskoy and Mark Bourassa
Dmitry Dukhovskoy and Mark Bourassa Center for Ocean-Atmospheric Prediction Studies Florida State University Funded by the NASA OVWST, HYCOM consortium and NSF AOMIP Acknowledgement: P. Hughes (FSU), E.J.
More informationJohn Steffen and Mark A. Bourassa
John Steffen and Mark A. Bourassa Funding by NASA Climate Data Records and NASA Ocean Vector Winds Science Team Florida State University Changes in surface winds due to SST gradients are poorly modeled
More informationCurriculum vitae : Ph.D. candidate & teaching assistant, Department of Meteorology,
Curriculum vitae Personal Information: name: Georgia Sotiropoulou date of birth: 14 November 1986 email: georgiasotiropoulou@live.com phone: +306934252879 Proffesional Experience: 2017 2018: research fellow
More informationModeling Challenges At High Latitudes. Judith Curry Georgia Institute of Technology
Modeling Challenges At High Latitudes Judith Curry Georgia Institute of Technology Physical Process Parameterizations Radiative transfer Surface turbulent fluxes Cloudy boundary layer Cloud microphysics
More informationA review of VOCALS Hypothesis. VOCALS Science Meeting July 2009 Seattle Washington C. R. Mechoso, UCLA
A review of VOCALS Hypothesis VOCALS Science Meeting 12-14 July 2009 Seattle Washington C. R. Mechoso, UCLA VOCALS Strategy MODELING Operational Centers, Reseach Institutions, Universities REx AIRBORNE
More informationThe Arctic Energy Budget
The Arctic Energy Budget The global heat engine [courtesy Kevin Trenberth, NCAR]. Differential solar heating between low and high latitudes gives rise to a circulation of the atmosphere and ocean that
More informationArctic climate projections and progress towards a new CCSM. Marika Holland NCAR
Arctic climate projections and progress towards a new CCSM Marika Holland NCAR The Arctic is changing! Loss of Sept Arctic Sea Ice 2002 Loss of about 8% per decade Or >20% since 1979 (Courtesy I. Rigor
More informationThe impact of an intense summer cyclone on 2012 Arctic sea ice retreat. Jinlun Zhang*, Ron Lindsay, Axel Schweiger, and Michael Steele
The impact of an intense summer cyclone on 2012 Arctic sea ice retreat Jinlun Zhang*, Ron Lindsay, Axel Schweiger, and Michael Steele *Corresponding author Polar Science Center, Applied Physics Laboratory
More informationMet Office and UK University contribution to YMC Ground instrumentation and modelling
Met Office and UK University contribution to YMC Ground instrumentation and modelling Cathryn Birch 1,2 Adrian Matthews 3, Steve Woolnough 4, John Marsham 2, Douglas Parker 2, Paul Barret 1, Prince Xavier
More informationYear of Polar Prediction (YOPP): Arcticmidlatitude linkages considered from a prediction perspective
Year of Polar Prediction (YOPP): Arcticmidlatitude linkages considered from a prediction perspective Thomas Jung, Tido Semmler, Soumia Serrar, Marta Kasper & PPP steering group Alfred Wegener Institute
More informationArctic Chemistry And Climate
21 July 2016 Connaught Summer Institute 1 Arctic Chemistry And Climate Connaught Summer Institute 2016 William (Bill) Simpson Geophysical Institute and Department of Chemistry, University of Alaska Fairbanks
More informationAMIP-type horizontal resolution experiments with NorESM. Øyvind Seland, Trond Iversen, Ivar Seierstad
AMWG meeting 10th-12th February 2014 AMIP-type horizontal resolution experiments with NorESM Øyvind Seland, Trond Iversen, Ivar Seierstad Motivation: For given a computer resource, ESMs need to balance
More informationArctic System Reanalysis Depiction of Arctic Atmospheric Circulation
Arctic System Reanalysis Depiction of Arctic Atmospheric Circulation David H. Bromwich A.B. Wilson, L.-S. Bai, G.W.K. Moore, K.M. Hines, S.-H. Wang, W. Kuo, Z. Liu, H.-C. Lin, T.-K. Wee, M. Barlage, M.C.
More informationCentennial-scale Climate Change from Decadally-paced Explosive Volcanism
Centennial-scale Climate Change from Decadally-paced Explosive Volcanism Yafang Zhong and Gifford Miller INSTAAR, University of Colorado at Boulder, USA Bette Otto-Bliesner, Caspar Ammann, Marika Holland,
More informationMeasurements are infrequent in this region due to difficulty in making both ship- and air-based measurements Natural pristine region far removed from
PLANNED OBSERVATIONAL CAMPAIGNS OVER THE SOUTHERN OCEANS FOR DETERMINING THE ROLES OF CLOUDS, AEROSOLS AND RADIATION IN THE CLIMATE SYSTEM: SOCRATES, MARCUS & MICRE G. McFarquhar, U. Illinois C. Bretherton,
More informationSUPPLEMENTARY INFORMATION
SUPPLEMENTARY INFORMATION DOI: 1.138/NCLIMATE1884 SPRINGTIME ATMOSPHERIC ENERGY TRANSPORT AND THE CONTROL OF ARCTIC SUMMER SEA-ICE EXTENT Supplementary discussion In the main text it is argued that positive
More informationOutline: 1) Extremes were triggered by anomalous synoptic patterns 2) Cloud-Radiation-PWV positive feedback on 2007 low SIE
Identifying Dynamical Forcing and Cloud-Radiative Feedbacks Critical to the Formation of Extreme Arctic Sea-Ice Extent in the Summers of 2007 and 1996 Xiquan Dong University of North Dakota Outline: 1)
More informationImproving the representation of the Greater Arctic with ASRv2. D. H. Bromwich and many collaborators
Improving the representation of the Greater Arctic with ASRv2 D. H. Bromwich and many collaborators 5 th International Conference on Reanalysis (ICR5) Rome, Italy 14 November 2017 Importance of an Arctic-focused
More information2013 ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Cat Response
2013 ATLANTIC HURRICANE SEASON OUTLOOK June 2013 - RMS Cat Response Season Outlook At the start of the 2013 Atlantic hurricane season, which officially runs from June 1 to November 30, seasonal forecasts
More informationHTAP-2 analysis for the Arctic
Institute for Climate and Atmospheric Science SCHOOL OF EARTH AND ENVIRONMENT Photo: Chuck Brock, NOAA. HTAP-2 analysis for the Arctic Steve R. Arnold 1, Louisa K. Emmons 2, Kathy S. Law 3, Sarah A. Monks
More informationGerman Arctic Expeditions
German Arctic Expeditions 2015-2016 FARO/ASSW, 2016, Fairbanks Dirk Mengedoht (Alfred Wegener Institute, Germany) Dirk Mengedoht, AWI Logistics 2015 Polarstern Arctic Expeditions 2015 Leg Start End Mission
More informationArctic Oxidation Chemistry
19 July 2016 Connaught Summer Institute 1 Arctic Oxidation Chemistry Connaught Summer Institute 2016 William (Bill) Simpson Geophysical Institute and Department of Chemistry, University of Alaska Fairbanks
More informationSUPPLEMENTARY INFORMATION
SUPPLEMENTARY INFORMATION DOI: 10.1038/NGEO1854 Anthropogenic aerosol forcing of Atlantic tropical storms N. J. Dunstone 1, D. S. Smith 1, B. B. B. Booth 1, L. Hermanson 1, R. Eade 1 Supplementary information
More information(1) Arctic Sea Ice Predictability,
(1) Arctic Sea Ice Predictability, (2) It s Long-term Loss and Implications for Ocean Conditions Marika Holland, NCAR With contributions from: David Bailey, Alex Jahn, Jennifer Kay, Laura Landrum, Steve
More informationThe Seasonal Evolution of Sea Ice Floe Size Distribution
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. The Seasonal Evolution of Sea Ice Floe Size Distribution Jacqueline A. Richter-Menge and Donald K. Perovich CRREL 72 Lyme
More informationEvaluation of CMIP5 Simulated Clouds and TOA Radiation Budgets in the SMLs Using NASA Satellite Observations
Evaluation of CMIP5 Simulated Clouds and TOA Radiation Budgets in the SMLs Using NASA Satellite Observations Erica K. Dolinar Xiquan Dong and Baike Xi University of North Dakota This talk is based on Dolinar
More informationClimate Change 2007: The Physical Science Basis
Climate Change 2007: The Physical Science Basis Working Group I Contribution to the IPCC Fourth Assessment Report Presented by R.K. Pachauri, IPCC Chair and Bubu Jallow, WG 1 Vice Chair Nairobi, 6 February
More informationCAM Tutorial. Sea Ice Modeling 31 July 2009 David Bailey and Marika Holland, NCAR
CAM Tutorial Sea Ice Modeling 31 July 2009 David Bailey and Marika Holland, NCAR Sea ice influences in the climate system Surface albedo in March > 0.8 < 0.1 Ice-Ocean Freshwater Exchange Contrasting the
More informationCharacterization of the Present-Day Arctic Atmosphere in CCSM4
Characterization of the Present-Day Arctic Atmosphere in CCSM4 Gijs de Boer 1, Bill Chapman 2, Jennifer Kay 3, Brian Medeiros 3, Matthew Shupe 4, Steve Vavrus, and John Walsh 6 (1) (2) (3) (4) ESRL ()
More informationCurrent status of lake modelling and initialisation at ECMWF
Current status of lake modelling and initialisation at ECMWF G Balsamo, A Manrique Suñen, E Dutra, D. Mironov, P. Miranda, V Stepanenko, P Viterbo, A Nordbo, R Salgado, I Mammarella, A Beljaars, H Hersbach
More informationLeo Donner GFDL/NOAA, Princeton University. EGU, Vienna, 18 April 2016
Cloud Dynamical Controls on Climate Forcing by Aerosol-Cloud Interactions: New Insights from Observations, High- Resolution Models, and Parameterizations Leo Donner GFDL/NOAA, Princeton University EGU,
More informationSea Ice Update. Marika Holland and David Bailey. National Center for Atmospheric Research. CESM Workshop. University of Toronto
Sea Ice Update Marika Holland and David Bailey National Center for Atmospheric Research CESM Workshop University of Toronto November June 2017 2012 NCAR is sponsored by the National Science Foundation
More informationTowards the Fourth GEWEX Atmospheric Boundary Layer Model Inter-Comparison Study (GABLS4)
Towards the Fourth GEWEX Atmospheric Boundary Layer Model Inter-Comparison Study (GABLS4) Timo Vihma 1, Tiina Nygård 1, Albert A.M. Holtslag 2, Laura Rontu 1, Phil Anderson 3, Klara Finkele 4, and Gunilla
More informationM. Mielke et al. C5816
Atmos. Chem. Phys. Discuss., 14, C5816 C5827, 2014 www.atmos-chem-phys-discuss.net/14/c5816/2014/ Author(s) 2014. This work is distributed under the Creative Commons Attribute 3.0 License. Atmospheric
More informationOffice of Naval Research Arctic Observing Activities
Office of Naval Research Arctic Observing Activities Jim Thomson Applied Physics Laboratory, University of Washington jthomson@apl.washington.edu Scott L. Harper, Program Officer, Arctic and Global Prediction
More informationDirect assimilation of all-sky microwave radiances at ECMWF
Direct assimilation of all-sky microwave radiances at ECMWF Peter Bauer, Alan Geer, Philippe Lopez, Deborah Salmond European Centre for Medium-Range Weather Forecasts Reading, Berkshire, UK Slide 1 17
More informationGlobal sea surface temperature October 25 th 2007
The VOCALS Regional Experiment Aerosols, clouds, and precipitation in southeast Pacific stratocumulus Robert Wood Atmospheric Sciences University of Washington Global sea surface temperature October 25
More informationThe Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change. Renguang Wu
The Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change Renguang Wu Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing World Conference on Climate Change
More informationExtratropical and Polar Cloud Systems
Extratropical and Polar Cloud Systems Gunilla Svensson Department of Meteorology & Bolin Centre for Climate Research George Tselioudis Extratropical and Polar Cloud Systems Lecture 1 Extratropical cyclones
More informationAn Overview of Atmospheric Analyses and Reanalyses for Climate
An Overview of Atmospheric Analyses and Reanalyses for Climate Kevin E. Trenberth NCAR Boulder CO Analysis Data Assimilation merges observations & model predictions to provide a superior state estimate.
More informationTwo aspects of moisture origin relevant to analysis of isotope modeling
Two aspects of moisture origin relevant to analysis of isotope modeling Maxwell Kelley MIT Department of Earth, Atmospheric, and Planetary Sciences and NASA Goddard Institute for Space Studies IAEA SIMS
More informationTHE ARCTIC SYSTEM REANALYSIS D. H. Bromwich et al. Presented by: J. Inoue
THE ARCTIC SYSTEM REANALYSIS D. H. Bromwich et al. Presented by: J. Inoue MOSAiC Implementation Workshop St. Petersburg: Nov. 13, 2017 Arctic System Reanalysis Description Regional reanalysis of the Greater
More informationPatterns and impacts of ocean warming and heat uptake
Patterns and impacts of ocean warming and heat uptake Shang-Ping Xie Scripps Inst of Oceanography, UCSD Ocean warming & circulation change Ocean heat uptake & meridional overturning circulation Global
More informationTr a n s r e g i o n a l C o l l a b o r a t i v e Re s e a r c h C e n t r e TR 172
Tr a n s r e g i o n a l C o l l a b o r a t i v e Re s e a r c h C e n t r e TR 172 ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC) 3 Towards a better
More informationObserved Southern Ocean Cloud Properties and Shortwave Reflection
Observed Southern Ocean Cloud Properties and Shortwave Reflection Daniel T McCoy* 1, Dennis L Hartmann 1, and Daniel P Grosvenor 2 University of Washington 1 University of Leeds 2 *dtmccoy@atmosuwedu Introduction
More informationAn Introduction to Coupled Models of the Atmosphere Ocean System
An Introduction to Coupled Models of the Atmosphere Ocean System Jonathon S. Wright jswright@tsinghua.edu.cn Atmosphere Ocean Coupling 1. Important to climate on a wide range of time scales Diurnal to
More informationESM development at the Met Office Hadley Centre
ENSEMBLES RT1/RT2A Meeting ECMWF, 8-9 th Jun 2006 ESM development at the Met Office Hadley Centre Tim Johns, and HadGEM model development teams Crown copyright Page 1 Model Development Timeline: HadGEM1a/GEM2/GEM2ES
More informationPRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response
PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK June 2014 - RMS Event Response 2014 SEASON OUTLOOK The 2013 North Atlantic hurricane season saw the fewest hurricanes in the Atlantic Basin
More informationMedium-range prediction in the polar regions: current status and future challenges
Medium-range prediction in the polar regions: current status and future challenges Sarah Keeley Marine Prediction Section Linus Magnusson, Peter Bauer, Patricia de Rosnay, Steffen Tietsche, Thomas Haiden
More informationAtmospheric Boundary Layer over Land, Ocean, and Ice. Xubin Zeng, Michael Brunke, Josh Welty, Patrick Broxton University of Arizona
Atmospheric Boundary Layer over Land, Ocean, and Ice Xubin Zeng, Michael Brunke, Josh Welty, Patrick Broxton University of Arizona xubin@email.arizona.edu 24 October 2017 Future of ABL Observations Workshop
More informationSea Ice Observations: Where Would We Be Without the Arctic Observing Network? Jackie Richter-Menge ERDC-CRREL
Sea Ice Observations: Where Would We Be Without the Arctic Observing Network? Jackie Richter-Menge ERDC-CRREL Sea Ice Observations: Where Would We Be Without the Arctic Observing Network? Jackie Richter-Menge
More informationVOCALS Cloud-Drizzle-Aerosol Theme
VOCALS Cloud-Drizzle-Aerosol Theme Understanding and modeling aerosol indirect effects Is drizzle important to Sc synoptic variability and climatology? IPCC, 2007 AEROSOL-CLOUD-PRECIPITATION HYPOTHESES
More informationImplications of Sulfate Aerosols on Clouds, Precipitation and Hydrological Cycle
Implications of Sulfate Aerosols on Clouds, Precipitation and Hydrological Cycle Source: Sulfate aerosols are produced by chemical reactions in the atmosphere from gaseous precursors (with the exception
More informationBenchmarking Polar WRF in the Antarctic *
Benchmarking Polar WRF in the Antarctic * David H. Bromwich 1,2, Elad Shilo 1,3, and Keith M. Hines 1 1 Polar Meteorology Group, Byrd Polar Research Center The Ohio State University, Columbus, Ohio, USA
More informationThe aerosol- and water vapor-related variability of precipitation in the West Africa Monsoon
The aerosol- and water vapor-related variability of precipitation in the West Africa Monsoon Jingfeng Huang *, C. Zhang and J. M. Prospero Rosenstiel School of Marine and Atmospheric Science, University
More informationSea ice: physical properties, processes and trends. Stephen Howell Climate Research Division, Environment and Climate Change Canada July 18, 2017
Sea ice: physical properties, processes and trends Stephen Howell Climate Research Division, Environment and Climate Change Canada July 18, 2017 3-Part Sea Ice Lecture Overview 1. Physical properties,
More informationThe ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere
GEOPHYSICAL RESEARCH LETTERS, VOL. 4, 388 392, doi:1.12/grl.575, 213 The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere
More informationThe effects of dust emission on the trans- Pacific transport of Asian dust in the CESM
The effects of dust emission on the trans- Pacific transport of Asian dust in the CESM Mingxuan Wu, Xiaohong Liu, Zhien Wang, Kang Yang, Chenglai Wu University of Wyoming Kai Zhang, Hailong Wang Pacific
More informationLittoral Air-Sea Processes DRI Daniel Eleuterio, 322MM Scott Harper, 322PO
Littoral Air-Sea Processes DRI Daniel Eleuterio, 322MM Scott Harper, 322PO January 7, 2009 Coupled Processes DRI Eleuterio/Harper 1 Fully Coupled Air-Wave-Ocean Forecast Models are becoming increasingly
More informationRegional Climate Simulations with WRF Model
WDS'3 Proceedings of Contributed Papers, Part III, 8 84, 23. ISBN 978-8-737852-8 MATFYZPRESS Regional Climate Simulations with WRF Model J. Karlický Charles University in Prague, Faculty of Mathematics
More informationPredicting climate extreme events in a user-driven context
www.bsc.es Oslo, 6 October 2015 Predicting climate extreme events in a user-driven context Francisco J. Doblas-Reyes BSC Earth Sciences Department BSC Earth Sciences Department What Environmental forecasting
More informationMC-KPP: Efficient, flexible and accurate air-sea coupling
MC-KPP: Efficient, flexible and accurate air-sea coupling Nick Klingaman NCAS-Climate, University of Reading Shortwave Longwave Latent Sensible Wind Prescribe SSTs and sea ice Pro: Computationally inexpensive,
More informationModeling the Arctic Climate System
Modeling the Arctic Climate System General model types Single-column models: Processes in a single column Land Surface Models (LSMs): Interactions between the land surface, atmosphere and underlying surface
More informationShort-term sea ice forecasts with the RASM-ESRL coupled model
Short-term sea ice forecasts with the RASM-ESRL coupled model A testbed for improving simulations of ocean-iceatmosphere interactions in the marginal ice zone Amy Solomon 12, Janet Intrieri 2, Mimi Hughes
More informationRecord low sea ice concentration in the central Arctic during the summer of Jinping Zhao Ocean University of China
Record low sea ice concentration in the central Arctic during the summer of 2010 Jinping Zhao Ocean University of China Expedition to the north pole in 1995 Sea ice retreat in the Arctic 3 Replacement
More informationTranspose-AMIP. Steering committee: Keith Williams (chair), David Williamson, Steve Klein, Christian Jakob, Catherine Senior
Transpose-AMIP Steering committee: Keith Williams (chair), David Williamson, Steve Klein, Christian Jakob, Catherine Senior WGNE - THORPEX-PDP workshop, Zurich, 08/07/10 What is Transpose-AMIP? Basically,
More informationKOPRI s initiative for YOPP ( )
YOPP-Summit 13 15 July 2015, WMO Headquarters, Geneva, Switzerland KOPRI s initiative for YOPP (2017-2018) Seong-Joong Kim Division of Polar Climate Change Research Korea Polar Research Institute Contributors:
More informationArctic sea ice falls below 4 million square kilometers
SOURCE : http://nsidc.org/arcticseaicenews/ Arctic sea ice falls below 4 million square kilometers September 5, 2012 The National Snow and Ice Data Center : Advancing knowledge of Earth's frozen regions
More informationSeasonality of Arctic Black Carbon Processes in the AMAP Multi-Model Ensemble
Seasonality of Arctic Black Carbon Processes in the AMAP Multi-Model Ensemble R. Mahmood 1,2, K. von Salzen 3, M.G. Flanner 4, M. Sand 5, J. Langner 6, H. Wang 7, and L. Huang 8 1 School of Earth and Ocean
More informationLand Surface: Snow Emanuel Dutra
Land Surface: Snow Emanuel Dutra emanuel.dutra@ecmwf.int Slide 1 Parameterizations training course 2015, Land-surface: Snow ECMWF Outline Snow in the climate system, an overview: Observations; Modeling;
More informationMet Office physics developments
Met Office physics developments Ian Boutle, Anke Finnenkoetter, Adrian Hill, Adrian Lock, Jeremy Price and Ben Shipway Presented by Mike Bush 36th EWGLAM and 21 st SRNWP Annual Meeting 2014. 29 th of September
More informationRestriction of convective depth in the Weddell Sea
GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L10610, doi:10.1029/2007gl029295, 2007 Restriction of convective depth in the Weddell Sea K. Akitomo 1 Received 8 January 2007; revised 11 March 2007; accepted 25
More informationClimate Modeling Research & Applications in Wales. John Houghton. C 3 W conference, Aberystwyth
Climate Modeling Research & Applications in Wales John Houghton C 3 W conference, Aberystwyth 26 April 2011 Computer Modeling of the Atmosphere & Climate System has revolutionized Weather Forecasting and
More informationInterannual variability of top-ofatmosphere. CERES instruments
Interannual variability of top-ofatmosphere albedo observed by CERES instruments Seiji Kato NASA Langley Research Center Hampton, VA SORCE Science team meeting, Sedona, Arizona, Sep. 13-16, 2011 TOA irradiance
More informationKinematic Modelling: How sensitive are aerosol-cloud interactions to microphysical representation
Kinematic Modelling: How sensitive are aerosol-cloud interactions to microphysical representation Adrian Hill Co-authors: Ben Shipway, Ian Boutle, Ryo Onishi UK Met Office Abstract This work discusses
More informationObserved State of the Global Climate
WMO Observed State of the Global Climate Jerry Lengoasa WMO June 2013 WMO Observations of Changes of the physical state of the climate ESSENTIAL CLIMATE VARIABLES OCEANIC ATMOSPHERIC TERRESTRIAL Surface
More information