Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.

Slides:



Advertisements
Similar presentations
Implementation and test of HRLDAS in CWB
Advertisements

1 CODATA 2006 October 23-25, 2006, Beijing Cryospheric Data Assimilation An Integrated Approach for Generating Consistent Cryosphere Data Set Xin Li World.
Jared H. Bowden Saravanan Arunachalam
Danielle M. Kozlowski NASA USRP Intern. Background Motivation Forecasting convective weather is a challenge for operational forecasters Current numerical.
MODIS Science Team Meeting - 18 – 20 May Routine Mapping of Land-surface Carbon, Water and Energy Fluxes at Field to Regional Scales by Fusing Multi-scale.
Recent performance statistics for AMPS real-time forecasts Kevin W. Manning – National Center for Atmospheric Research NCAR Earth System Laboratory Mesoscale.
THORPEX-Pacific Workshop Kauai, Hawaii Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.
Christa D. Peters-Lidard Head, Hydrological Sciences Branch NASA Goddard Space Flight Center Workshop Objectives 1.Describe the LIS-WRF Coupled System.
CPC’s U.S. Seasonal Drought Outlook & Future Plans April 20, 2010 Brad Pugh, CPC.
Assimilation of MODIS and AMSR-E Land Products into the NOAH LSM Xiwu Zhan 1, Paul Houser 2, Sujay Kumar 1 Kristi Arsenault 1, Brian Cosgrove 3 1 UMBC-GEST/NASA-GSFC;
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
National Space Science and Technology Center, Huntsville, AL Assimilation of AMSR-E soil moisture into a coupled land surface-mesoscale model in the Land.
Assessment of the vertical exchange of heat, moisture, and momentum above a wildland fire using observations and mesoscale simulations Joseph J. Charney.
Real-time SPoRT LIS and Applications in Modeling and Situational Awareness Sixth Meeting of the Science Advisory Committee 28 February to 1 March 2012.
SPoRT SAC Nov 21-22, 2005 Earth-Sun System Division National Aeronautics and Space Administration The Short-term Prediction Research and Transition (SPoRT)
Applied Meteorology Unit 1 An Operational Configuration of the ARPS Data Analysis System to Initialize WRF in the NWS Environmental Modeling System 31.
The Eta Regional Climate Model: Model Development and Its Sensitivity in NAMAP Experiments to Gulf of California Sea Surface Temperature Treatment Rongqian.
UMAC data callpage 1 of 11NLDAS EMC Operational Models North American Land Data Assimilation System (NLDAS) Michael Ek Land-Hydrology Team Leader Environmental.
Land Processes Group, NASA Marshall Space Flight Center, Huntsville, AL Response of Atmospheric Model Predictions at Different Grid Resolutions Maudood.
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
EGU General Assembly C. Cassardo 1, M. Galli 1, N. Vela 1 and S. K. Park 2,3 1 Department of General Physics, University of Torino, Italy 2 Department.
Project Title: High Performance Simulation using NASA Model and Observation Products for the Study of Land Atmosphere Coupling and its Impact on Water.
Enhancing the Value of GRACE for Hydrology
NW NCNE SCSESW Rootzone: TOTAL PERCENTILEANOMALY Noah VEGETATION TYPE 2-meter Column Soil Moisture GR2/OSU LIS/Noah 01 May Climatology.
1 Soil Moisture Assimilation in NCEP Global Forecast System Weizhong Zheng 1, Jerry Zhan 2, Jiarui Dong 1, Michael Ek 1 1 Environmental Modeling Center,
A Comparison of the Northern American Regional Reanalysis (NARR) to an Ensemble of Analyses Including CFSR Wesley Ebisuzaki 1, Fedor Mesinger 2, Li Zhang.
Jonathan Pleim 1, Robert Gilliam 1, and Aijun Xiu 2 1 Atmospheric Sciences Modeling Division, NOAA, Research Triangle Park, NC (In partnership with the.
Coupling of the Common Land Model (CLM) to RegCM in a Simulation over East Asia Allison Steiner, Bill Chameides, Bob Dickinson Georgia Institute of Technology.
Reducing Canada's vulnerability to climate change - ESS J28 Earth Science for National Action on Climate Change Canada Water Accounts AET estimates for.
SeaWiFS Highlights February 2002 SeaWiFS Views Iceland’s Peaks Gene Feldman/SeaWiFS Project Office, Laboratory for Hydrospheric Processes, NASA Goddard.
Applications of the Land Information System (LIS) Fifth Meeting of the Science Advisory Committee November, 2009 Jonathan Case transitioning unique.
AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.
IGARSS 2011, Jul. 26, Vancouver 1 Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation.
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Regional Modeling using MODIS SST composites Prepared.
Accounting for Uncertainties in NWPs using the Ensemble Approach for Inputs to ATD Models Dave Stauffer The Pennsylvania State University Office of the.
Variation of Surface Soil Moisture and its Implications Under Changing Climate Conditions 1.
Development and Preliminary Results of Image Processing Tools for Meteorology and Air Quality Modeling Limei Ran Center for Environmental Modeling for.
NWS / SPoRT Coordination Call August 19, 2010 Topics: LIS, SST Composite, Technical Issues.
3 rd Annual WRF Users Workshop Promote closer ties between research and operations Develop an advanced mesoscale forecast and assimilation system   Design.
A Portable Regional Weather and Climate Downscaling System Using GEOS-5, LIS-6, WRF, and the NASA Workflow Tool Eric M. Kemp 1,2 and W. M. Putman 1, J.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Towards development of a Regional Arctic Climate System Model --- Coupling WRF with the Variable Infiltration Capacity land model via a flux coupler Chunmei.
Investigating Land-Atmosphere CO 2 Exchange with a Coupled Biosphere-Atmosphere Model: SiB3-RAMS K.D. Corbin, A.S. Denning, I. Baker, N. Parazoo, A. Schuh,
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
Implementation and preliminary test of the unified Noah LSM in WRF F. Chen, M. Tewari, W. Wang, J. Dudhia, NCAR K. Mitchell, M. Ek, NCEP G. Gayno, J. Wegiel,
Transitioning Unique NASA Data and Research Technologies to Operations The Utility of the Real-Time NASA Land Information System for Drought Monitoring.
Current and Future Initialization of WRF Land States at NCEP Ken Mitchell NCEP/EMC WRF Land Working Group Workshop 18 June 2003.
NOAA’s Climate Prediction Center & *Environmental Modeling Center Camp Springs, MD Impact of High-Frequency Variability of Soil Moisture on Seasonal.
Transitioning unique NASA data and research technologies to the NWS AIRS Profile Assimilation - Case Study results Shih-Hung Chou, Brad Zavodsky Gary Jedlovec,
MMET Team Michelle Harrold Tracy Hertneky Jamie Wolff Demonstrating the utility of the Mesoscale Model Evaluation Testbed (MMET)
Evapotranspiration Estimates over Canada based on Observed, GR2 and NARR forcings Korolevich, V., Fernandes, R., Wang, S., Simic, A., Gong, F. Natural.
Entrainment Ratio, A R -  R = c p  i / c p  s  sfc  ent c p  i c p  s PBL Schemes  = YSU  = MYJ  = MRF 12Z 00Z  adv Science issue: Assess.
The SPoRT-WRF: Transitioning SPoRT Modeling Research Sixth Meeting of the Science Advisory Committee 28 February – 1 March, 2012 National Space Science.
Incorporation and use of the NOAH LSM in the Coupled/Ocean Atmosphere Mesoscale Prediction System (COAMPS) ® Incorporation and use of the NOAH LSM in the.
Modeling and Evaluation of Antarctic Boundary Layer
Earth-Sun System Division National Aeronautics and Space Administration WRF and the coastal marine environment Kate LaCasse SOO/SPoRT Workshop 11 July.
Initial Results from the Diurnal Land/Atmosphere Coupling Experiment (DICE) Weizhong Zheng, Michael Ek, Ruiyu Sun, Jongil Han, Jiarui Dong and Helin Wei.
Performance Comparison of an Energy- Budget and the Temperature Index-Based (Snow-17) Snow Models at SNOTEL Stations Fan Lei, Victor Koren 2, Fekadu Moreda.
1 Xiaoyan Jiang, Guo-Yue Niu and Zong-Liang Yang The Jackson School of Geosciences The University of Texas at Austin 03/20/2007 Feedback between the atmosphere,
1 Yun Fan, Huug van den Dool, Dag Lohmann, Ken Mitchell CPC/EMC/NCEP/NWS/NOAA Kunming, May, 2004.
NOAA Northeast Regional Climate Center Dr. Lee Tryhorn NOAA Climate Literacy Workshop April 2010 NOAA Northeast Regional Climate.
Development of the Regional Arctic Climate System Model (RACM) --- Department of Civil and Environmental Engineering University of Washington May, 2010.
Towards development of a Regional Arctic Climate System Model ---
Introduction to Land Information System (LIS)
Performance of the VIC land surface model in coupled simulations
Land surface analysis over India using High Resolution Land Data Assimilation System (HRLDAS) H P Nayak and M Mandal Centre for Oceans, Rivers, Atmosphere.
Multimodel Ensemble Reconstruction of Drought over the Continental U.S
Multimodel Ensemble Reconstruction of Drought over the Continental U.S
Presentation transcript:

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference on Hydrology Improved Modeling of Land-Atmosphere Interactions using a Coupled Version of WRF with the Land Information System Jonathan L. Case* 1, Katherine M. LaCasse 2, Joseph A. Santanello Jr. 3, William M. Lapenta 4, and Christa D. Peters-Lidard 5 1 ENSCO, Inc./Short-term Prediction Research and Transition (SPoRT) Center, Huntsville, AL 2 University of Alabama in Huntsville/SPoRT Center, Huntsville, AL 3 Goddard Space Flight Center/Earth System Science Interdisciplinary Center – UMCP, College Park, MD 4 NASA/SPoRT Center, Huntsville, AL 5 Goddard Space Flight Center, Greenbelt, MD

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 2 American Meteorological Society 21 st Conference on Hydrology Presentation Outline  Motivation and project goals  Background  Benefits of coupling  Methodology / experiment design  Results –Spin-up runs over Florida for May 2004 –Preliminary coupled runs  Summary / Future Work

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 3 American Meteorological Society 21 st Conference on Hydrology Motivation and Project Goals  Hypothesis: Can short-term mesoscale numerical forecasts of sensible weather elements be improved by using optimally-tuned, high-resolution soil fields?  Project Goals: Investigate and evaluate the potential benefits of using high-resolution land surface data derived from NASA systems and tools on regional short-term numerical guidance (0  24 hours) –Use Goddard’s Land Information System software coupled to the Weather Research and Forecasting (WRF) model –Examine one month period with relatively benign weather Isolate influence of land-atmosphere interactions Choose May 2004 over Florida peninsula

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 4 American Meteorological Society 21 st Conference on Hydrology The Land Information System (LIS)  Software that runs multiple Land Surface Models (LSMs) efficiently using high-performance computing –Developed at Goddard Space Flight Center –LSMs: Noah, Community Land Model, SiB, VIC, Mosaic –Global, high-resolution datasets (down to 1 km)  User configurable features –“Spin-up” time for soil equilibrium –Input datasets –Atmospheric boundary conditions (i.e. forcings)  NASA 2005 Software of the Year Award

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 5 American Meteorological Society 21 st Conference on Hydrology Coupled LIS-WRF Implementation  Offline LIS spin-up simulation on WRF grid –Run LIS for sufficient time to reach equilibrium state –LIS output at final time  Input to WRF simulation Soil temperature / moisture, snow cover, skin temperature, albedo, & canopy water  WRF atmospheric variables provide forcing to LIS –Surface air temperature, humidity, pressure, wind –Emiss., short/long-wave radiation, precip., & Sfc exchange coeff.  LIS provides land variables to WRF –LIS output variables listed above –Surface & ground fluxes, runoff

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 6 American Meteorological Society 21 st Conference on Hydrology Coupling LIS to WRF: Benefits  Soil initialization consistent with WRF resolution  Capability to optimize surface & soil variables –Tune soil model spin-up time integration –Specify atmospheric forcings Atmospheric reanalysis data In-situ and/or remotely-sensed observations  Can run WRF with other LSMs available in LIS  Framework for introducing new land datasets –E.g. Satellite-derived fields from MODIS

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 7 American Meteorological Society 21 st Conference on Hydrology LIS Spin-up Simulations using Noah  Integrate LSM long enough to reach soil state equilibrium –Atmospheric forcing from Global Data Assimilation System reanalyses –Multiple simulations of different integration length, all ending 1 May 2004 (2mo, 4mo, 6mo, 9mo, 12mo) –Examine difference fields between successive runs –Deep soil variables should converge to common value  100  200 cm soil moisture  longest time to reach equilibrium  12  9 mo differences  negligible over most of domain

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 8 American Meteorological Society 21 st Conference on Hydrology Control WRF & Coupled LIS-WRF Configuration  Common characteristics –Florida domain with 3-km grid spacing –Noah LSM –24-hour forecasts initialized at 0000 UTC –Atmospheric initial & boundary conditions from NCEP 40-km Eta model  Differences –Control WRF Soil moisture & temp initial conditions from 40-km Eta model Forecasts from standard WRF –Coupled LIS-WRF: Soil moisture & temp initial conditions from 3-km LIS spin-up run Forecasts from coupled LIS-WRF

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 9 American Meteorological Society 21 st Conference on Hydrology LIS  Control Initial 0  10 cm Soil Moisture Fields Control WRF using 40-km Eta data LIS-WRF more moist over much of domain Coupled LIS-WRF using 3-km LIS data

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 10 American Meteorological Society 21 st Conference on Hydrology Impacts on 2-m Temperature Forecasts LIS  Control Control WRF using 40-km Eta data Coupled LIS-WRF using 3-km LIS data

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 11 American Meteorological Society 21 st Conference on Hydrology Impacts on 2-m Dewpoint Forecasts LIS  Control Control WRF using 40-km Eta data Coupled LIS-WRF using 3-km LIS data

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 12 American Meteorological Society 21 st Conference on Hydrology Summary & Future Work  Tested coupled LIS-WRF on Florida case  9-mo spin-up for land initialization over Florida  Simulated atmosphere sensitive to changes in soil characteristics provided by LIS  Future work –Validate LIS soil temp & moisture fields where possible –Run control & LIS-WRF 24-h forecasts daily for May 2004 –Generate surface verification statistics –Examine impacts on convective initiation (NSSL project) –Include MODIS sea-surface temperatures over water

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 13 American Meteorological Society 21 st Conference on Hydrology Backup Slides

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 14 American Meteorological Society 21 st Conference on Hydrology Cross sections along FL East Coast (N  S; Shuttle Landing Facility to Miami, 12z to 18z) TemperatureDewpoint

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 15 American Meteorological Society 21 st Conference on Hydrology LIS  Control Initial 100  200 cm Soil Moisture More moist Drier Control WRF using 40-km Eta data Coupled LIS-WRF using 3-km LIS data