Land Analysis in the NOAA CFS Reanalysis. Michael Ek, Ken Mitchell, Jesse Meng Helin Wei, Rongqian Yang, and George Gayno
|
|
|
- Belinda Fleming
- 6 years ago
- Views:
Transcription
1 Land Analysis in the NOAA CFS Reanalysis Michael Ek, Ken Mitchell, Jesse Meng Helin Wei, Rongqian Yang, and George Gayno 1
2 Outline CFS Reanalysis execution Land surface model upgrade from OSU to Noah LIS/GLDAS infrastructure Observed precipitation forcing CFSR streams and overlapping Reanalysis results 30-year climatology of global soil moisture field CONUS regional time series Compare to GR2, NARR, and Illinois observations Spinup, trend, variability, and anomaly CONUS May climatology and anomaly 2
3 CFS Reanalysis Execution (24-hr span) : Note daily GLDAS Atmos. Analysis 0Z GSI 6Z GSI 12Z GSI 18Z GSI 0Z GSI 0Z GODAS 6Z GODAS 12Z GODAS 18Z GODAS 0Z GODAS Ocean Analysis 0Z GLDAS 6Z GLDAS 12Z GLDAS 18Z GLDAS 0Z GLDAS Land Analysis Time 3
4 4
5 GFS and CFS: Land Model Upgrade Noah LSM (new) versus OSU LSM (old): Noah LSM (vegetation, snow, ice) OSU LSM 4 soil layers (10, 30, 60, 100 cm) Frozen soil physics included Add glacial ice treatment Two snowpack states (SWE, density) Surface fluxes weighted by snow cover fraction Improved seasonal cycle of vegetation Spatially varying root depth Runoff and infiltration account for sub-grid variability in precipitation & soil moisture Improved thermal conduction in soil/snow Higher canopy resistance Improved evaporation treatment over bare soil and snowpack 2 soil layers (10, 190 cm) No frozen soil physics Only one snowpack state (SWE) Surface fluxes not weighted by snow fraction Vegetation fraction never less than 50 percent Spatially constant root depth Runoff & infiltration do not account for subgrid variability of precipitation & soil moisture Poor soil and snow thermal conductivity, especially for thin snowpack Noah LSM replaced OSU LSM in operational NCEP medium-range Global Forecast System (GFS) in late May
6 Land Information System Land Surface Characteristics Topography Land Cover Soil Precipitation Forcing Non-precip Meteorological Forcing Land Variables Soil Moisture Soil Temperature Snow Noah LSM Christa Peters-Lidard et al., NASA/GSFC/HSB CFSR land analysis Soil Moisture Soil Temperature Snow CFSR surface file gdas1.t00z.sfcanl 6
7 Motivation for Using Observed Precipitation in CFSR GDAS high bias in tropical precip compared to CMAP analysis 10 July 09 Aug 2007 Example Difference Plot GDAS yields high precip bias in tropics. 7
8 Unified Daily Gauge Data Dense gauge networks from special CPC collections over US, Mexico, and S. America; GTS gauge network elsewhere Daily reports available from ~17,000 stations A blended precip forcing is used with the heavier weights of CFS/GDAS high lats Gauge mid lats CMAP tropics. Mingyue Chen and Pingping Xie 8
9 CFS Reanalysis Streams overlap All streams use the mean land states from operational GDAS of each given start date as the land initial conditions. 12 mo Production 12 mo 12 mo 12 mo 14 mo
10 Overlapping between streams is essential. With at least 12-month overlapping, the discontinuity between streams is reduced. GR2, while executing one single continuous stream, also showed an upward trend over the past two decades. 10
11 CFSR Soil Moisture Climatology 11
12 CFSR Soil Moisture Climatology 12
![CONUS 2-meter soil moisture [%] SMC Total SMC Anomaly](/docs-images/77/74880469/images/13-2.jpg "CFSR 6 streams GR2 1 stream Trend?")
13 CONUS 2-meter soil moisture [%] SMC Total SMC Anomaly CFSR 6 streams GR2 1 stream Trend? Natural or model driven? 13
14 Illinois 2-meter soil moisture [mm] Total Anomaly R(GR2,OBS)=0.48 R(NARR,OBS)=0.67 R(CFSR,OBS)=
15 CONUS soil moisture May climatology and anomaly CFSR climatology CFSR 1988 drought CFSR 1993 flood GR2 climatology GR drought GR flood 15
16 CONUS soil moisture May climatology and anomaly CPC 90-day obs precip anomaly ended 30Apr1999 CFSR 1999 GR CFSR soil moisture anomaly corresponds well with observed precip anomaly. 16
17 Land Surface Water Budget 30-year mean annual cycle, precip evap runoff soil moisture 17
18 Summary LIS/GLDAS as the land analysis of CFSR Noah land surface model upgrades A blended forcing to utilize observed precip to reduce the impact of forecast model bias Overlapping reduces the discontinuity between CFSR streams. Result shows reasonable soil moisture climatology and anomaly. Further analysis given in the companion two posters: J. Meng et al., and R. Yang et al. Reanalysis as initial conditions for Reforecast Guidelines for future land surface model development For CFSR data access at NCDC: 18
Implementation of Land Information System in the NCEP Operational Climate Forecast System CFSv2. Jesse Meng, Michael Ek, Rongqian Yang, Helin Wei
Implementation of Land Information System in the NCEP Operational Climate Forecast System CFSv2 Jesse Meng, Michael Ek, Rongqian Yang, Helin Wei 1 Outline NCEP CFSRR Land component CFSv1 vs CFSv2 Land
Implementation of the NCEP operational GLDAS for the CFS land initialization
Implementation of the NCEP operational GLDAS for the CFS land initialization Jesse Meng, Mickael Ek, Rongqian Yang NOAA/NCEP/EMC July 2012 1 Improving the Global Land Surface Climatology via improved Global
Interaction of North American Land Data Assimilation System and National Soil Moisture Network: Soil Products and Beyond
Interaction of North American Land Data Assimilation System and National Soil Moisture Network: Soil Products and Beyond Youlong Xia 1,2, Michael B. Ek 1, Yihua Wu 1,2, Christa Peters-Lidard 3, David M.
Michael B. Ek 1, Youlong Xia 1,2, Jesse Meng 1,2, and Jiarui Dong 1,2
Michael B. Ek 1, Youlong Xia 1,2, Jesse Meng 1,2, and Jiarui Dong 1,2 1 Land-Hydrology Team Environmental Modeling Center (EMC) National Centers for Environmental Prediction (NCEP) National Weather Service
CFSR CFSRR, both seasonal and 45 days
Huug van den Dool and Suru Saha: CFSR, The New Coupled NCEP Reanalysis 1979-2010 (Use of re-analyses and re-forecasts for the calibration of long-range predictions) CFSR CFSRR, both seasonal and 45 days
NCEP Land-Surface Modeling
NCEP Land-Surface Modeling Michael Ek and the EMC Land-Hydrology Team Environmental Modeling Center (EMC) National Centers for Environmental Prediction (NCEP) 5200 Auth Road, Room 207 Suitland, Maryland
Land-Hydrology Modeling at NCEP
Land-Hydrology Modeling at NCEP Michael Ek 1 *, Jesse Meng 1, Rongqian Yang 1, Helin Wei 1, Vince Wong 1, Youlong Xia 1, Yihua Wu 1, Weizhong Zheng 1, Jiarui Dong 1, and Sid Katz 2 NOAA (National Oceanic
THE NCEP CLIMATE FORECAST SYSTEM. Suranjana Saha, ensemble workshop 5/10/2011 THE ENVIRONMENTAL MODELING CENTER NCEP/NWS/NOAA
THE NCEP CLIMATE FORECAST SYSTEM Suranjana Saha, ensemble workshop 5/10/2011 THE ENVIRONMENTAL MODELING CENTER NCEP/NWS/NOAA An upgrade to the NCEP Climate Forecast System (CFS) was implemented in late
Design of the 30-year NCEP CFSRR. T382L64 Global Reanalysis and T126L64 Seasonal Reforecast Project ( )
Design of the 30-year NCEP CFSRR T382L64 Global Reanalysis and T126L64 Seasonal Reforecast Project (1979-2009) Suru Saha and Hua-Lu Pan, EMC/NCEP With Input from Stephen Lord, Mark Iredell, Shrinivas Moorthi,
The Community Noah LSM with Multi-physics Options
The Community Noah LSM with Multi-physics Options Guo-Yue Niu Collaborators: ZL Yang, KE Mitchell, F Chen, MB Ek, M. Barlage, L. Longuevergne, A Kumar, K Manning, D Niyogi, E Rosero, M Tewari, and Y. Xia
Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004
Dag.Lohmann@noaa.gov, Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004 Land Data Assimilation at NCEP: Strategic Lessons Learned from the North American Land Data Assimilation System
A Description and Example Output of the WRF-NMM land surface and radiation packages used at NCEP
A Description and Example Output of the WRF-NMM land surface and radiation packages used at NCEP Ken Mitchell and Michael Ek NCEP/EMC NOAA/NWS WRF-NMM Tutorial 8-11 August 2006 Boulder, CO Noah Land Surface
GABLS4 Results from NCEP Single Column Model
GABLS4 Results from NCEP Single Column Model Weizhong Zheng 1,2, Michael Ek 1,Ruiyu Sun 1,2 and Jongil Han 1,2 1 NOAA/NCEP/Environmental Modeling Center(EMC), USA 2 IMSG@NOAA/NCEP/EMC, USA Email: Weizhong.Zheng@noaa.gov
THE NCEP CLIMATE FORECAST SYSTEM Version 2 Implementation Date: 18 Jan 2011 THE ENVIRONMENTAL MODELING CENTER NCEP/NWS/NOAA
THE NCEP CLIMATE FORECAST SYSTEM Version 2 Implementation Date: 18 Jan 2011 cfs@noaa.gov THE ENVIRONMENTAL MODELING CENTER NCEP/NWS/NOAA Suranjana Saha, Shrinivas Moorthi, Hua-Lu Pan, Xingren Wu, Jiande
Land surface precipitation and hydrology in MERRA-2
Land surface precipitation and hydrology in MERRA-2 R. Reichle, R. Koster, C. Draper, Q. Liu, M. Girotto, S. Mahanama, G. De Lannoy, G. Partyka, and many others 5th International Conference on Reanalysis
A Near Real Time Drought Monitoring Capability
A Near Real Time Drought Monitoring Capability Kingtse Mo, Muthuvel Chelliah, Wayne Higgins and The NCEP Drought Monitoring Team Climate Prediction Center NCEP/NWS/NOAA An Experimental Drought Early Warning
APPLICATIONS OF DOWNSCALING: HYDROLOGY AND WATER RESOURCES EXAMPLES
APPLICATIONS OF DOWNSCALING: HYDROLOGY AND WATER RESOURCES EXAMPLES Dennis P. Lettenmaier Department of Civil and Environmental Engineering For presentation at Workshop on Regional Climate Research NCAR
Variations of the Asian Monsoon and Simulations and Predictions by the NCEP CFS Song Yang
Variations of the Asian Monsoon and Simulations and Predictions by the NCEP CFS Song Yang NOAA Climate Prediction Center, Camp Springs, Maryland, USA Song.Yang@noaa.gov Contents, Coauthors, and References
The Maritime Continent as a Prediction Barrier
The Maritime Continent as a Prediction Barrier for the MJO Augustin Vintzileos EMC/NCEP SAIC Points to take back home. Forecast of the MJO is at, average, skillful for lead times of up to circa 2 weeks.
Assimilation of the AFWA Snow Depth Product into NCEP Operational CFS/GFS System
Assimilation of the AFWA Snow Depth Product into NCEP Operational CFS/GFS System Jiarui Dong, Mie E NOAA/NCEP/EMC, College Par, Maryland, USA Sujay Kumar, Christa Peters-Lidard NASA/GSFC, Greenbelt, Maryland,
NASA/NOAA s Global Land Data Assimilation System (GLDAS): Recent Results and Future Plans
NASA/NOAA s Global Land Data Assimilation System (GLDAS): Recent Results and Future Plans Matthew Rodell with contributions from Paul Houser, Christa Peters-Lidard, Hiroko Kato, Sujay Kumar, Jon Gottschalck,
Behind the Climate Prediction Center s Extended and Long Range Outlooks Mike Halpert, Deputy Director Climate Prediction Center / NCEP
Behind the Climate Prediction Center s Extended and Long Range Outlooks Mike Halpert, Deputy Director Climate Prediction Center / NCEP September 2012 Outline Mission Extended Range Outlooks (6-10/8-14)
1.0 Implications of using daily climatological wind speed prior to 1948
Supplemental Material 1.0 Implications of using daily climatological wind speed prior to 1948 As detailed in the manuscript, NCEP-NCAR reanalysis wind data were used for the period 1948/01/01-2011/12/31.
An Ensemble Land Surface Modeling and Assimilation Testbed for HEPEX
GSFC s Land Data Assimilation Systems: An Ensemble Land Surface Modeling and Assimilation Testbed for HEPEX Christa Peters-Lidard Lidard,, Paul Houser, Matthew Rodell, Brian Cosgrove NASA Goddard Space
Land Surface Processes and Their Impact in Weather Forecasting
Land Surface Processes and Their Impact in Weather Forecasting Andrea Hahmann NCAR/RAL with thanks to P. Dirmeyer (COLA) and R. Koster (NASA/GSFC) Forecasters Conference Summer 2005 Andrea Hahmann ATEC
Arctic System Reanalysis *
Arctic System Reanalysis * David H. Bromwich 1,2, Keith M. Hines 1 and Le-Sheng Bai 1 1 Polar Meteorology Group, Byrd Polar Research Center 2 Atmospheric Sciences Program, Dept. of Geography The Ohio State
Georgy V. Mostovoy*¹, Valentine Anantharaj¹, Paul R. Houser², and Christa D. Peters-Lidard³
P2.3 USE OF SCAN OBSERVATIONS FOR VALIDATION OF SOIL MOISTURE SPATIAL DISTRIBUTION SIMULATED BY THE LAND-SURFACE MODEL OVER THE LOWER MISSISSIPPI DELTA REGION Georgy V. Mostovoy*¹, Valentine Anantharaj¹,
Christopher L. Castro Department of Atmospheric Sciences University of Arizona
Spatiotemporal Variability and Covariability of Temperature, Precipitation, Soil Moisture, and Vegetation in North America for Regional Climate Model Applications Christopher L. Castro Department of Atmospheric
Re-dimensioned CFS Reanalysis data for easy SWAT initialization
Re-dimensioned CFS Reanalysis data for easy SWAT initialization Daniel R Fuka, Charlotte MacAlister, Solomon Seyoum, Allan Jones, Raghavan Srinivasan Cornell University IWMI East Africa Texas A&M Re-dimensioned
An 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.
Dear Editor, Response to Anonymous Referee #1. Comment 1:
Dear Editor, We would like to thank you and two anonymous referees for the opportunity to revise our manuscript. We found the comments of the two reviewers very useful, which gave us a possibility to address
Enhancing Weather Forecasts via Assimilating SMAP Soil Moisture and NRT GVF
CICS Science Meeting, ESSIC, UMD, 2016 Enhancing Weather Forecasts via Assimilating SMAP Soil Moisture and NRT GVF Li Fang 1,2, Christopher Hain 1,2, Xiwu Zhan 2, Min Huang 1,2 Jifu Yin 1,2, Weizhong Zheng
Celebrating the Climate Prediction Center s 25 th Anniversary: Current NCEP Climate Activities
Celebrating the Climate Prediction Center s 25 th Anniversary: Current NCEP Climate Activities Louis W. Uccellini Director, NCEP The 29 th Climate Diagnostics and Prediction Workshop University of Wisconsin,
Drought and Climate Extremes Indices for the North American Drought Monitor and North America Climate Extremes Monitoring System. Richard R. Heim Jr.
Drought and Climate Extremes Indices for the North American Drought Monitor and North America Climate Extremes Monitoring System Richard R. Heim Jr. NOAA/NESDIS/National Climatic Data Center Asheville,
Efforts to Assimilate the AFWA Snow Depth Product into NCEP Operational CFS/GFS System
Efforts to Assimilate the AFWA Snow Depth Product into NCEP Operational CFS/GFS System J. Dong, Mie E, W. Zheng, H. Wei, J. Meng NOAA/NCEP/EMC, College Par, Maryland, USA X. Zhan NOAA/NESDIS/STAR, College
Land data assimilation in the NASA GEOS-5 system: Status and challenges
Blueprints for Next-Generation Data Assimilation Systems Boulder, CO, USA 8-10 March 2016 Land data assimilation in the NASA GEOS-5 system: Status and challenges Rolf Reichle Clara Draper, Ricardo Todling,
Operational Monsoon Monitoring at NCEP
Operational Monsoon Monitoring at NCEP Wassila M. Thiaw Climate Prediction Center National Centers for Environmental Predictions Operational Monsoon Monitoring at NCEP Wassila M. Thiaw Climate Prediction
Use of the Combined Pacific Variability Mode for Climate Prediction in North America
Use of the Combined Pacific Variability Mode for Climate Prediction in North America Christopher L. Castro,, Stephen Bieda III, and Francina Dominguez University of Arizona Regional Climate Forum for Northwest
Model resolution impact on Precipitation: Comparison to SNOTEL observations
Model resolution impact on Precipitation: Comparison to SNOTEL observations 5/7/2012 40 proj. updates Sensitivity to model grid resolution: Precipitation from the 8-year Current Climate Simulation Percent
The Texas drought. Kingtse Mo Climate Prediction Center NWS/NCEP/NOAA
The 2011-2012 Texas drought Kingtse Mo Climate Prediction Center NWS/NCEP/NOAA 1 outline Evolution of the 2011-2012 Texas drought Climatology and historical perspective The 2011 drought Onset Feedback
Satellite Surface Data Products from NESDIS for Numerical Weather Prediction
Satellite Surface Data Products from NESDIS for Numerical Weather Prediction Xiwu Zhan 1, Jicheng Liu 1,2, Jifu Yin 1,2, Li Fang 1,2, Min Huang 1,2, Chris Hain 3, Weizhong Zheng 4, Jiarui Dong 4, Michael
Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall
Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall Desert Research Institute Program for Climate, Ecosystem and Fire Applications May 2005 Project Objectives Run coarse QC
The Scale-dependence of Groundwater Effects on Precipitation and Temperature in the Central United States
The Scale-dependence of Groundwater Effects on Precipitation and Temperature in the Central United States Michael Barlage, Fei Chen, Changhai Liu NCAR/RAL Gonzalo Miguez-Macho U. Santiago de Compostela
Global Urban-Scale Land-Atmosphere Modeling with the Land Information System
Global Urban-Scale Land-Atmosphere Modeling with the Land Information System C. D. Peters-Lidard 1, S. V. Kumar 2, Y. Tian 2, J. L. Eastman 2, and P. R. Houser 1 1* NASA, Goddard Space Flight Center Hydrological
NOAA Climate Program and CPPA Overview (Climate Prediction Program for the Americas)
NOAA Climate Program and CPPA Overview (Climate Prediction Program for the Americas) Jin Huang NOAA Climate Program Office June 3, 2009 NOAA Climate Goal Understand Climate Variability and Change to Enhance
Multiple Ocean Analysis Initialization for Ensemble ENSO Prediction using NCEP CFSv2
Multiple Ocean Analysis Initialization for Ensemble ENSO Prediction using NCEP CFSv2 B. Huang 1,2, J. Zhu 1, L. Marx 1, J. L. Kinter 1,2 1 Center for Ocean-Land-Atmosphere Studies 2 Department of Atmospheric,
Improving Streamflow Prediction in Snow- fed River Basins via Satellite Snow Assimilation
Improving Streamflow Prediction in Snow- fed River Basins via Satellite Snow Assimilation Yuqiong Liu NASA GSFC & University of Maryland, College Park Co- authors: Christa Peters- Lidard, Sujay Kumar,
Operational Perspectives on Hydrologic Model Data Assimilation
Operational Perspectives on Hydrologic Model Data Assimilation Rob Hartman Hydrologist in Charge NOAA / National Weather Service California-Nevada River Forecast Center Sacramento, CA USA Outline Operational
NCEP Climate Forecast System Version 2 (CFSv2) in the context of the US National Multi Model Ensemble (NMME) for Seasonal Prediction
NCEP Climate Forecast System Version 2 (CFSv2) in the context of the US National Multi Model Ensemble (NMME) for Seasonal Prediction Suru Saha Huug van den Dool, Qin Zhang, Malaquias Pena Mendez and Emily
Multivariate assimilation of satellite-derived remote sensing datasets in the North American Land Data Assimilation System (NLDAS)
Multivariate assimilation of satellite-derived remote sensing datasets in the North American Land Data Assimilation System (NLDAS) Sujay V. Kumar 1,2, Christa D. Peters-Lidard 1, David Mocko 1,2,3, Rolf
A Comparison of the Noah and OSU Land Surface Models in the ECPC Seasonal Forecast Model
OCTOBER 2007 D E H A A N E T A L. 1031 A Comparison of the Noah and OSU Land Surface Models in the ECPC Seasonal Forecast Model LAUREL L. DE HAAN AND MASAO KANAMITSU Scripps Institution of Oceanography,
Developing Operational MME Forecasts for Subseasonal Timescales
Developing Operational MME Forecasts for Subseasonal Timescales Dan C. Collins NOAA Climate Prediction Center (CPC) Acknowledgements: Stephen Baxter and Augustin Vintzileos (CPC and UMD) 1 Outline I. Operational
Climate Prediction Center National Centers for Environmental Prediction
NOAA s Climate Prediction Center Climate Monitoring Tool Wassila M. Thiaw and CPC International Team Climate Prediction Center National Centers for Environmental Prediction CPC International Team Vadlamani
Presentation Overview. Southwestern Climate: Past, present and future. Global Energy Balance. What is climate?
Southwestern Climate: Past, present and future Mike Crimmins Climate Science Extension Specialist Dept. of Soil, Water, & Env. Science & Arizona Cooperative Extension The University of Arizona Presentation
IMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA
IMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA By: Talal Alharbi June, 29 2017 1 Motivation: In arid and semi-arid regions of the world the demand for fresh water resources is increasing due to: increasing
GLOBAL LAND DATA ASSIMILATION SYSTEM (GLDAS) PRODUCTS FROM NASA HYDROLOGY DATA AND INFORMATION SERVICES CENTER (HDISC) INTRODUCTION
GLOBAL LAND DATA ASSIMILATION SYSTEM (GLDAS) PRODUCTS FROM NASA HYDROLOGY DATA AND INFORMATION SERVICES CENTER (HDISC) Hongliang Fang, Patricia L. Hrubiak, Hiroko Kato, Matthew Rodell, William L. Teng,
D. Lohmann, Pablo Grunman, and Kenneth Mitchell (2004), Land data assimilation at NOAA/NCEP/EMC, in Proceedings of the 2 nd international CAHMDA
D. Lohmann, Pablo Grunman, and Kenneth Mitchell (2004), Land data assimilation at NOAA/NCEP/EMC, in Proceedings of the 2 nd international CAHMDA workshop on: The Terrestrial Water Cycle: Modelling and
Central Asia Regional Flash Flood Guidance System 4-6 October Hydrologic Research Center A Nonprofit, Public-Benefit Corporation
http://www.hrcwater.org Central Asia Regional Flash Flood Guidance System 4-6 October 2016 Hydrologic Research Center A Nonprofit, Public-Benefit Corporation FFGS Snow Components Snow Accumulation and
Terrestrial Snow Cover: Properties, Trends, and Feedbacks. Chris Derksen Climate Research Division, ECCC
Terrestrial Snow Cover: Properties, Trends, and Feedbacks Chris Derksen Climate Research Division, ECCC Outline Three Snow Lectures: 1. Why you should care about snow: Snow and the cryosphere Classes of
1.11 CROSS-VALIDATION OF SOIL MOISTURE DATA FROM AMSR-E USING FIELD OBSERVATIONS AND NASA S LAND DATA ASSIMILATION SYSTEM SIMULATIONS
1.11 CROSS-VALIDATION OF SOIL MOISTURE DATA FROM AMSR-E USING FIELD OBSERVATIONS AND NASA S LAND DATA ASSIMILATION SYSTEM SIMULATIONS Alok K. Sahoo *, Xiwu Zhan** +, Kristi Arsenault** and Menas Kafatos
Exploring ensemble forecast calibration issues using reforecast data sets
NOAA Earth System Research Laboratory Exploring ensemble forecast calibration issues using reforecast data sets Tom Hamill and Jeff Whitaker NOAA Earth System Research Lab, Boulder, CO tom.hamill@noaa.gov
Numerical Seasonal Prediction: Approaches and Challenges
Numerical Seasonal Prediction: Approaches and Challenges Malaquías Peña Environmental Modeling Center, NCEP/NWS/NOAA Acknowledgments: Huug van den Dool (CPC), Suru Saha (EMC), Yuejian Zhu (EMC), NMME,
NOAA Climate Test Bed Jin Huang CTB Director
Research Topics AO NCEP Co-PI LOI Proposal Reanalysis / Reforecasts Earth System Modeling Tropical oscillations Model physics Etc. Research Climate Forecast Products MME CFS Improvements R2O O2R Operations
The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis
The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis World Meteorological Organization Global Cryosphere Watch Snow-Watch Workshop Session 3: Snow Analysis Products Andrew
Climate Models and Snow: Projections and Predictions, Decades to Days
Climate Models and Snow: Projections and Predictions, Decades to Days Outline Three Snow Lectures: 1. Why you should care about snow 2. How we measure snow 3. Snow and climate modeling The observational
Impact of vegetation cover estimates on regional climate forecasts
Impact of vegetation cover estimates on regional climate forecasts Phillip Stauffer*, William Capehart*, Christopher Wright**, Geoffery Henebry** *Institute of Atmospheric Sciences, South Dakota School
The Hydrologic Cycle
The Hydrologic Cycle Monthly precipitation for the central Arctic Ocean based on data from the Russian North Pole manned camps with daily bias adjustments. Raw precipitation totals are shown along with
N C E P. Ensemble Systems within the NOAA Operational Modeling Suite. William. M. Lapenta Acting Director Environmental Modeling Center NOAA/NWS/NCEP
US THORPE 19 Sept 2012 1 N C E P Ensemble Systems within the NOAA Operational Modeling Suite William. M. Lapenta Acting Director Environmental Modeling Center NOAA/NWS/NCEP Data Assimilation, Modeling
The CMC Monthly Forecasting System
The CMC Monthly Forecasting System Hai Lin Meteorological Research Division RPN seminar May 20, 2011 Acknowledgements Support and help from many people Gilbert Brunet, Bernard Dugas, Juan-Sebastian Fontecilla,
Relationships between Land Surface and Near-Surface Atmospheric Variables in the NCEP North American Regional Reanalysis
1184 J O U R N A L O F H Y D R O M E T E O R O L O G Y VOLUME 8 Relationships between Land Surface and Near-Surface Atmospheric Variables in the NCEP North American Regional Reanalysis YAN LUO AND ERNESTO
Environment and Climate Change Canada / GPC Montreal
Environment and Climate Change Canada / GPC Montreal Assessment, research and development Bill Merryfield Canadian Centre for Climate Modelling and Analysis (CCCma) with contributions from colleagues at
Flood Forecasting Tools for Ungauged Streams in Alberta: Status and Lessons from the Flood of 2013
Flood Forecasting Tools for Ungauged Streams in Alberta: Status and Lessons from the Flood of 2013 John Pomeroy, Xing Fang, Kevin Shook, Tom Brown Centre for Hydrology, University of Saskatchewan, Saskatoon
Assimilation of satellite derived soil moisture for weather forecasting
Assimilation of satellite derived soil moisture for weather forecasting www.cawcr.gov.au Imtiaz Dharssi and Peter Steinle February 2011 SMOS/SMAP workshop, Monash University Summary In preparation of the
The North American Regional Reanalysis: Results Obtained and Lessons Learned
The North American Regional Reanalysis: Results Obtained and Lessons Learned Fedor Mesinger 1, Geoff DiMego 2, Eugenia Kalnay 3, Perry C. Shafran 4, Wesley Ebisuzaki 5, Dusan Jovic 4, Jack Woollen 4, Kenneth
Cross-Validation of AMSR-E Soil Moisture Retrievals and the Surface Soil Moisture Simulations from NASA s Global Land Data Assimilation System (GLDAS)
Cross-Validation of AMSR-E Soil Moisture Retrievals and the Surface Soil Moisture Simulations from NASA s Global Land Data Assimilation System (GLDAS) Alok Kumar Sahoo, George Mason University, Fairfax,
Coupled hydro-meteorological simulations for the Poyang lake region, China
Coupled hydro-meteorological simulations for the Poyang lake region, China Sven Wagner, Benjamin Fersch, Harald Kunstmann (KIT, IMK-IFU, Germany) Zhongbo Yu, Fei Yuan, Chuanguo Yang (Hohai University.
The PRECIS Regional Climate Model
The PRECIS Regional Climate Model General overview (1) The regional climate model (RCM) within PRECIS is a model of the atmosphere and land surface, of limited area and high resolution and locatable over
ASSESSMENT OF NORTHERN HEMISPHERE SWE DATASETS IN THE ESA SNOWPEX INITIATIVE
ASSESSMENT OF NORTHERN HEMISPHERE SWE DATASETS IN THE ESA SNOWPEX INITIATIVE Kari Luojus 1), Jouni Pulliainen 1), Matias Takala 1), Juha Lemmetyinen 1), Chris Derksen 2), Lawrence Mudryk 2), Michael Kern
The Global Precipitation Climatology Project (GPCP) CDR AT NOAA: Research to Real-time Climate Monitoring
The Global Precipitation Climatology Project (GPCP) CDR AT NOAA: Research to Real-time Climate Monitoring Robert Adler, Matt Sapiano, Guojun Gu University of Maryland Pingping Xie (NCEP/CPC), George Huffman
Assessment of the Noah LSM with Multi-parameterization Options (Noah-MP) within WRF
Assessment of the Noah LSM with Multi-parameterization Options (Noah-MP) within WRF Michelle Harrold, Jamie Wolff, and Mei Xu National Center for Atmospheric Research Research Applications Laboratory and
Funding provided by NOAA Sectoral Applications Research Project CLIMATE. Basic Climatology Colorado Climate Center
Funding provided by NOAA Sectoral Applications Research Project CLIMATE Basic Climatology Colorado Climate Center Remember These? Factor 1: Our Energy Source Factor 2: Revolution & Tilt Factor 3: Rotation!
Development of a Tropical Ecological Forecasting Strategy for ENSO Based on the ACME Modeling Framework
Development of a Tropical Ecological Forecasting Strategy for ENSO Based on the ACME Modeling Framework Forrest M. Hoffman 1,2, Min Xu 1, Nathaniel Collier 1, Chonggang Xu 3, Bradley Christoffersen 3,
Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS)
Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS) Christopher L. Castro and Roger A. Pielke, Sr. Department of
Oregon Water Conditions Report May 1, 2017
Oregon Water Conditions Report May 1, 2017 Mountain snowpack in the higher elevations has continued to increase over the last two weeks. Statewide, most low and mid elevation snow has melted so the basin
A Global Water Budget Assessment
A Global Water Budget Assessment C. Adam Schlosser and Xiang Gao Joint Program on the Science and Policy of Global Change (JP Tech. Report #179, and accepted with minor revisions to J. of Hydrometeorology)
Northeast River Forecast Center s
Northeast River Forecast Center s Apr 13 th Spring Outlook Brought to you by: Edward Capone Service Coordination Hydrologist Overview to Include: Potential flood outlook convective/synoptic conditions
Outline. Precipitation. How would you describe precipitation patterns in your area? Bottom line: one-page summary
Outline Precipitation June 13, 2013 Phoenix, AZ Measuring rainfall Patterns of precipitation in time and space Predicting precipitation Patterns related to extreme events (floods & drought) Paleo-climate
CLIMATE CHANGE AND REGIONAL HYDROLOGY ACROSS THE NORTHEAST US: Evidence of Changes, Model Projections, and Remote Sensing Approaches
CLIMATE CHANGE AND REGIONAL HYDROLOGY ACROSS THE NORTHEAST US: Evidence of Changes, Model Projections, and Remote Sensing Approaches Michael A. Rawlins Dept of Geosciences University of Massachusetts OUTLINE
Tracking Seasonal Precipitation s Dependence on Root Zone Soil Moisture Using Regional Reanalysis
Tracking Seasonal Precipitation s Dependence on Root Zone Soil Moisture Using Regional Reanalysis Peter Goble Russ S. Schumacher and Nolan J. Doesken Colorado State University Background The atmosphere
Improvements to the NCEP Global and Regional Data Assimilation Systems
Improvements to the NCEP Global and Regional Data Assimilation Systems Stephen J. Lord Director NCEP Environmental Modeling Center EMC Staff NCEP: where America s climate, weather, and ocean services begin
Mingyue Chen 1)* Pingping Xie 2) John E. Janowiak 2) Vernon E. Kousky 2) 1) RS Information Systems, INC. 2) Climate Prediction Center/NCEP/NOAA
J3.9 Orographic Enhancements in Precipitation: Construction of a Global Monthly Precipitation Climatology from Gauge Observations and Satellite Estimates Mingyue Chen 1)* Pingping Xie 2) John E. Janowiak
Climate Change or Climate Variability?
Climate Change or Climate Variability? Key Concepts: Greenhouse Gas Climate Climate change Climate variability Climate zones Precipitation Temperature Water cycle Weather WHAT YOU WILL LEARN 1. You will
MET 3102-U01 PHYSICAL CLIMATOLOGY (ID 17901) Lecture 14
MET 3102-U01 PHYSICAL CLIMATOLOGY (ID 17901) Lecture 14 The hydrologic cycle evaporation vapor transport precipitation precipitation evaporation runoff Evaporation, precipitation, etc. in cm Vapor transported
Review of GFS Forecast Skills in 2012
Review of GFS Forecast Skills in 2012 Fanglin Yang IMSG - Environmental Modeling Center National Centers for Environmental Prediction Acknowledgments: All NCEP EMC Global Climate and Weather Modeling Branch
Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations
Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations C. Albergel (1), P. de Rosnay (1), G. Balsamo (1),J. Muñoz-Sabater(1 ), C. Gruhier (2),
Regional Drought Decision Support System (RDDSS) Project Update and Product Concepts
Regional Drought Decision Support System (RDDSS) Project Update and Product Concepts Part of the Red River Basin Decision Information Network (RRBDIN) NEXT-GEN RRBDIN Decision Support for the Red River
Modeling 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
Forecasting the MJO with the CFS: Factors affecting forecast skill of the MJO. Jon Gottschalck. Augustin Vintzileos
Forecasting the MJO with the CFS: Factors affecting forecast skill of the MJO Augustin Vintzileos CPC/NCEP CICS/ESSIC, University of Maryland College Park Jon Gottschalck CPC/NCEP Problem statement: In
NIDIS Intermountain West Regional Drought Early Warning System February 7, 2017
NIDIS Drought and Water Assessment NIDIS Intermountain West Regional Drought Early Warning System February 7, 2017 Precipitation The images above use daily precipitation statistics from NWS COOP, CoCoRaHS,
Funding Realities at NOAA Climate Program. NOAA Climate Goal
Funding Realities at NOAA Climate Program Jin Huang NOAA Climate Program Office June 2, 2009 NOAA Climate Goal Understand Climate Variability and Change to Enhance Society s Ability to Plan and Respond