Coupling of atmospheric and ocean/sea ice models over Arctic continental shelf areas. University of Bergen, Bergen, Norway

Similar documents
Progress in implementing one-way and two-way ROMS+ICE coupling. with atmospheric models over an Arctic polynya

Polar COAWST. Coupled Atmosphere (Land) Ocean Sea Ice Wave Sediment Transport Modeling System for Polar Regions

Coastal Antarctic polynyas: A coupled process requiring high model resolution in the ocean and atmosphere

5. General Circulation Models

Torben Königk Rossby Centre/ SMHI

Polar WRF. Polar Meteorology Group Byrd Polar and Climate Research Center The Ohio State University Columbus Ohio

The Northern Hemisphere Sea ice Trends: Regional Features and the Late 1990s Change. Renguang Wu

Data Assimilation and Diagnostics of Inner Shelf Dynamics

May 3, :41 AOGS - AS 9in x 6in b951-v16-ch13 LAND SURFACE ENERGY BUDGET OVER THE TIBETAN PLATEAU BASED ON SATELLITE REMOTE SENSING DATA

Update on CICE activities

Observing the ice-covered oceans around Antarctica by profiling floats

Modeling the Arctic Climate System

Sea Ice Modeling for Climate Applications. Marika M Holland (NCAR) David Bailey (NCAR), Cecilia Bitz (U. Washington), Elizabeth Hunke (LANL)

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model

Atmospheric Processes

P1M.4 COUPLED ATMOSPHERE, LAND-SURFACE, HYDROLOGY, OCEAN-WAVE, AND OCEAN-CURRENT MODELS FOR MESOSCALE WATER AND ENERGY CIRCULATIONS

Arctic System Reanalysis Provides Highresolution Accuracy for Arctic Studies

Today s Lecture: Land, biosphere, cryosphere (All that stuff we don t have equations for... )

Spectral 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

The Arctic Ocean's response to the NAM

The Arctic Energy Budget

Impact of sea ice. Rüdiger Gerdes. Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Germany

Mike Dinniman John Klinck Center for Coastal Physical Oceanography Old Dominion University Anna Wåhlin Department of Earth Sciences University of

Dmitry Dukhovskoy and Mark Bourassa

The impact of rain on ocean wave evolution and its feedback to the atmosphere

Coupled Ocean-Atmosphere Modeling of the Coastal Zone

RAL Advances in Land Surface Modeling Part I. Andrea Hahmann

Radiative Climatology of the North Slope of Alaska and the Adjacent Arctic Ocean

The Ocean-Atmosphere System II: Oceanic Heat Budget

SIMULATION OF ARCTIC STORMS 7B.3. Zhenxia Long 1, Will Perrie 1, 2 and Lujun Zhang 2

Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs

Generating and Using Meteorological Data in AERMOD

Overview of HYCOM activities at SHOM

Observation: predictable patterns of ecosystem distribution across Earth. Observation: predictable patterns of ecosystem distribution across Earth 1.

WRF Modeling System Overview

Mesoscale meteorological models. Claire L. Vincent, Caroline Draxl and Joakim R. Nielsen

Global Water Cycle. Surface (ocean and land): source of water vapor to the atmosphere. Net Water Vapour Flux Transport 40.

WRF Modeling System Overview

Figure 1: Two schematic views of the global overturning circulation. The Southern Ocean plays two key roles in the global overturning: (1) the

Extratropical and Polar Cloud Systems

Climate Change Scenario, Climate Model and Future Climate Projection

Ocean model, Interconnections within the climate model

Q.1 The most abundant gas in the atmosphere among inert gases is (A) Helium (B) Argon (C) Neon (D) Krypton

Snow and Sea Ice Physics, Thermodynamics, Dynamics and Remote Sensing

Global Ocean Monitoring: A Synthesis of Atmospheric and Oceanic Analysis

Northern Arabian Sea Circulation Autonomous Research (NASCar) DRI: A Study of Vertical Mixing Processes in the Northern Arabian Sea

An Introduction to Coupled Models of the Atmosphere Ocean System

Ensemble Trajectories and Moisture Quantification for the Hurricane Joaquin (2015) Event

Arctic Climate Change. Glen Lesins Department of Physics and Atmospheric Science Dalhousie University Create Summer School, Alliston, July 2013

DSJRA-55 Product Users Handbook. Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency July 2017

A Comparison of Predicted Along-channel Eulerian Flows at Cross- Channel Transects from an EFDC-based Model to ADCP Data in South Puget Sound

Modeling the Formation and Offshore Transport of Dense Water from High-Latitude Coastal Polynyas

Development of a Tropical Ecological Forecasting Strategy for ENSO Based on the ACME Modeling Framework

OCEAN MODELING. Joseph K. Ansong. (University of Ghana/Michigan)

WQMAP (Water Quality Mapping and Analysis Program) is a proprietary. modeling system developed by Applied Science Associates, Inc.

MC-KPP: Efficient, flexible and accurate air-sea coupling

Susan Bates Ocean Model Working Group Science Liaison

Nonlinear atmospheric response to Arctic sea-ice loss under different sea ice scenarios

Interannual Variations of Arctic Cloud Types:

SIO 210 Introduction to Physical Oceanography Mid-term examination November 3, 2014; 1 hour 20 minutes

THE LAND-SAF SURFACE ALBEDO AND DOWNWELLING SHORTWAVE RADIATION FLUX PRODUCTS

An intercomparison model study of Lake Valkea-Kotinen (in a framework of LakeMIP)

The World Ocean. Pacific Ocean 181 x 10 6 km 2. Indian Ocean 74 x 10 6 km 2. Atlantic Ocean 106 x 10 6 km 2

GEO1010 tirsdag

Development and Validation of Polar WRF

Tale of Two Sea-ice Models. Kate Hedstrom, UAF

S3-A Land and Sea Ice Cyclic Performance Report. Cycle No Start date: 30/09/2017. End date: 27/10/2017

MxVision WeatherSentry Web Services Content Guide

Large-Eddy Simulations of Tropical Convective Systems, the Boundary Layer, and Upper Ocean Coupling

Improving the representation of the Greater Arctic with ASRv2. D. H. Bromwich and many collaborators

Lecture 5: Atmospheric General Circulation and Climate

An Unstructured Grid, Finite-Volume Coastal Ocean Model (FVCOM), Validations and Applications

Wind, Current, Wave, and Stress Coupling in the Boundary Layer and A Plan for Observing This Coupling from Space

- continental vs. marine regimes

Regional climate modelling in the future. Ralf Döscher, SMHI, Sweden

Antarctic Circumpolar Current:

Creating Meteorology for CMAQ

The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science

Introduction to climate modeling. ECOLMAS Course 1-4 April 2008

Title. Author(s)Leppäranta, Matti; Shirasawa, Kunio. Issue Date Doc URL. Type. Note. File Information.

Ocean Dynamics. The Great Wave off Kanagawa Hokusai

Climate Modeling Dr. Jehangir Ashraf Awan Pakistan Meteorological Department

P Hurricane Danielle Tropical Cyclogenesis Forecasting Study Using the NCAR Advanced Research WRF Model

Prof. Simon Tett, Chair of Earth System Dynamics & Modelling: The University of Edinburgh

Temperature Change. Heat (Q) Latent Heat. Latent Heat. Heat Fluxes Transfer of heat in/out of the ocean Flux = Quantity/(Area Time) Latent heat

BMKG Research on Air sea interaction modeling for YMC

Temperature (T) degrees Celsius ( o C) arbitrary scale from 0 o C at melting point of ice to 100 o C at boiling point of water Also (Kelvin, K) = o C

Brita Horlings

GEWEX Atmospheric Boundary Layer Model

T. Dale Bess 1 and Takmeng Wong Atmospheric Sciences Division Langley Research Center, NASA Hampton, VA G. Louis Smith

Chapter 3. Multiple Choice Questions

Name Per Date Earth Science Climate & Insolation Test

Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004

COURSE CLIMATE SCIENCE A SHORT COURSE AT THE ROYAL INSTITUTION

Potential of Equatorial Atlantic Variability to Enhance El Niño Prediction

Interannual variability of top-ofatmosphere. CERES instruments

Heat budget and thermodynamics at a free surface:

Lecture 1. Amplitude of the seasonal cycle in temperature

Course Outline CLIMATE SCIENCE A SHORT COURSE AT THE ROYAL INSTITUTION. 1. Current climate. 2. Changing climate. 3. Future climate change

Chapter 6: Modeling the Atmosphere-Ocean System

Transcription:

Coupling of atmospheric and ocean/sea ice models over Arctic continental shelf areas Alastair D. Jenkins 1, W. Paul Budgell 2,1, Chris Moore 3, and Anne D. Sandvik 1 1 Bjerknes Centre for Climate Research & Geophysical Institute, University of Bergen, Bergen, Norway 2 Institute of Marine Research, Bergen, Norway 3 University of Washington/JISAO/NOAA-PMEL, Seattle, Washington, U.S.A. Alastair.Jenkins@gfi.uib.no http://www.gfi.uib.no/ jenkins

Introduction Brine rejection during ice formation over polar continental shelf areas is thought to make a substantial contribution to the generation of oceanic deep water, with significant consequences for the interior ocean circulation, and for the global climate on decadal to millenial timescales.

A substantial proportion of the ice-formation and brine-rejection process is associated with the formation of coastal polynyas during periods with offshore winds. S and T 10m above bottom September- October 2000 August 2001 (From I. Fer et al. JGR 109(C1), C01005 (2004))

Storfjord outflow plume path after Killworth (2001): Descent rate: 1/400. Green path: derived over smoothed bathymetry. Red path: derived over raw bathymetry: better fit to observations! Blue dots: Stations where the core of the plume was observed during Lance, July 01. (See I. Fer et al. JGR 109(C1), C01005 (2004))

Computed airflow over Svalbard, using MM5 model (Anne D. Sandvik)

Models In order to quantify the air-sea exchange processes involved, we are running ROMS with a dynamic-thermodynamic sea ice component, with input from the MM5 mesoscale atmospheric model, for Storfjorden (Svalbard).

Coupling Since there are great differences in the surface boundary conditions between ice-covered and open water areas, which will cause substantial changes in the atmospheric boundary layer, we are in addition implementing two-way coupling of ROMS+ice with the WRF mesoscale atmospheric model. Size of grid: 1 n. mile (2 km) grid, 181 261 grid boxes. Fixed parameters: Terrain elevation, sea ice, Sea surface temperature, Substrate temperature, Snow cover, Latitude, Longitude, Map scale factor, Coriolis parameter, Land-use category

Exchanged variables chosen from: U 10, V 10, Surface sensible and latent heat flux, Surface downward shortwave and longwave radiation, 2 m temperature, 2 m water vapour mixing ratio, surface albedo, Ground and sea-ice temperature, sea-ice fraction, Frictional velocity, roughness length, Monin-Obukhov length, snow height, snow cover, rainfall (convective and non-convective), Surface net radiation, water-equivalent snow depth.

Coupling method proposed Initially, we proposed to use the OASIS model coupler: Developed under Program for Integrated Earth System Modelling (PRISM) Version 3 available from CERFACS, Toulouse OASIS3 synchronizes the exchanges of coupling fields between the models being coupled, and performs 2D interpolations and transformations between the source and target model. Modularity and flexibility have been particularly emphasized in the OASIS3 design. But the ROMS code would have to be modified to run under OASIS

Coupling method used The WRF I/O API MCT Coupling Implementation. An implementation of the WRF I/O Application Programming Interface using the Argonne Model Coupling Toolkit (MCT) and the Message Passing Environment Utilities (MPEU) libraries. ROMS 2.1 and the WRF atmospheric model now contain code implementing this coupling software (written by Dan Schaffer (NOAA) and Chris Moore). Versions used in the BCCR implementation: WRF version 1.3, with coupling code made available to us by Dan Schaffer ROMS 2.1 beta with ice code by Paul Budgell (ROMS2.1beta+ice), plus the ROMS 2.1 (ROMS2.1final) coupling code

Grid remapping Mapping of grids WRF from/to ROMS, using SCRIP software package Written by Philip W. Jones of Los Alamos National Laboratory Conservative remapping using Stokes theorem (integrating around boundaries of grid intersection polygons) Simpler algorithm than finding areas of intersection polygons Converges more rapidly than Monte-Carlo area determination

Test run ROMS and WRF compile successfully on the IBM Regatta at Bergen (Para//ab). Two unix (AIX) processes, one for the WRF part and one for the ROMS part of the model). Compiled with debugging enabled. Grids: Rectangular WRF 40 80, 100 km, ROMS 41 41, 6 km WRF ideal case, baroclinic wave. ROMS driven with a percentage of wind speed.

Test case, WRF 40 80, 100 km grid, ROMS 41 41, 6 km grid WRF pressure WRF U ROMS u P (pascals) U_1 (m s{-1}) u-momentum component (meter second-1) south_north south_north eta_u west_east gbsaj Sat Sep 2 21:18:45 2006 west_east_stag gbsaj Sat Sep 2 21:16:18 2006 xi_u ROMS/TOMS 2.1 - Wind-Driven Upwelling/Downwelling over a Periodic Channel Range of u-momentum component: -0.0702756 to 0.220361 meter second-1 Range of xi_u: 0 to 42 Range of eta_u: 0 to 43 Current time: 360 Current s_rho: 14 Frame 361 in File ocean_his.nc gbsaj Sat Sep 2 21:36:25 2006 Range of P: -6851.73 to 2338.3 pascals Range of west_east: 0 to 39 Range of south_north: 0 to 79 Current Time: 0 Current bottom_top: 0 Frame 1 in File wrfrst_d01_000720 Range of U_1: -52.5497 to 70.6384 m s{-1} Range of west_east_stag: 0 to 40 Range of south_north: 0 to 79 Current Time: 0 Current bottom_top: 0 Frame 1 in File wrfrst_d01_000720

Status (two-way coupling) 181 261 grid now set up, compiled coupled WRF/ROMS system with debugging enabled. WRF and ROMS initial and boundary data set up (Feb. 2000).

WRF height ROMS T (top) ROMS T (bottom) HGT (m) potential temperature (Celsius) potential temperature (Celsius) gbsaj Sat Sep 2 18:49:29 2006 south_north eta_rho xi_rho gbsaj Sat Sep 2 22:08:18 2006 eta_rho xi_rho gbsaj Sat Sep 2 22:09:06 2006 west_east Range of HGT: 0 to 1274.67 m Range of west_east: 0 to 180 Range of south_north: 0 to 260 Current Time: 0 Frame 1 in File wrfinput_d01 From LA04 avg file Range of potential temperature: -1.02876 to 8.20245 Celsius Range of xi_rho: 0 to 181 Range of eta_rho: 0 to 261 Current time: 0 Current s_rho: 31 Frame 1 in File STFJ2_init_19990801.nc From LA04 avg file Range of potential temperature: -1.02876 to 8.20245 Celsius Range of xi_rho: 0 to 181 Range of eta_rho: 0 to 261 Current time: 0 Current s_rho: 0 Frame 1 in File STFJ2_init_19990801.nc

MPI data communication was successful for simple test case, and starts up OK for 181 261 grid. Debugger (IBM xldb), with 2 windows, one for each process. Debugging continues...