Japanese Reanalysis Project (JRA-25) M. Sugi CPD / JMA Workshop on Ongoing Analysis of the Climate Systems 18-20 August 2003, Boulder.

Slides:



Advertisements
Similar presentations
Climate Prediction Division Japan Meteorological Agency Developments for Climate Services at Japan Meteorological Agency 1.
Advertisements

Integrated Earth System Analysis Workshop Report Held November 2010, Baltimore MD Details at 2PM – POS Panel.
Feasibility of data assimilation using documented weather record for reconstruction of historical climate Kei Yoshimura and Kinya Toride AORI, Univ Tokyo.
The Activities of Tokyo Climate Center Fumio WATANABE Tokyo Climate Center Climate Prediction Division, JMA.
Suzana J. Camargo Lamont-Doherty Earth Observatory Columbia University ANALYSIS OF 20 TH CENTURY ATLANTIC HURRICANE POTENTIAL INTENSITY AND TROPICAL CYCLONE.
Atmospheric Reanalyses Update Mike Bosilovich. ReanalysisHoriz.ResDatesVintageStatus NCEP/NCAR R1T present1995ongoing NCEP-DOE R2T present2001ongoing.
Japanese Reanalysis JRA-25 and JRA-55 H. Kamahori 1, A. Ebita 2, S. Kobayashi 2, Y. Ota 2, M. Moriya 2, R. Kumabe 2, K. Onogi 2, Y. Harada 2, S. Yasui.
The use of the NWCSAF High Resolution Wind product in the mesoscale AROME model at the Hungarian Meteorological Service Máté Mile, Mária Putsay and Márta.
The NCEP operational Climate Forecast System : configuration, products, and plan for the future Hua-Lu Pan Environmental Modeling Center NCEP.
The International Surface Pressure Databank (ISPD) and Twentieth Century Reanalysis at NCAR Thomas Cram - NCAR, Boulder, CO Gilbert Compo & Chesley McColl.
Kazutoshi Onogi on behalf of the JRA-55 reanalysis group
Tokyo Climate Center (TCC)
U.S. Surface Archives Sent to China ( ) 7 th PRC-U.S. Joint Coordination Panel for Data and Information Cooperation 29 Nov. – 1 Dec, 2000 Steven.
Satellite Application on Weather Services in Japan Yasushi SUZUKI Japan Weather Association 12nd. GPM Applications Workshop, June/9-10/2015.
Assimilation of GOES Hourly and Meteosat winds in the NCEP Global Forecast System (GFS) Assimilation of GOES Hourly and Meteosat winds in the NCEP Global.
JMA’s GSICS and SCOPE-CM Activities (CGMS-41-JMA-WP-04) CGMS-41, Jul , 2013, Tsukuba, Japan 1 JMA / Meteorological Satellite Center.
Slide 1 Retrospective analysis of ozone at ECMWF Rossana Dragani ECMWF Acknowledgements to: D. Tan, A. Inness, E. Hólm, and D. Dee R. Dragani, SPARC/IOC/IGACO,
Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.
Current status of AMSR-E data utilization in JMA/NWP Masahiro KAZUMORI Numerical Prediction Division Japan Meteorological Agency July 2008 Joint.
Slide 1 Sakari Uppala and Dick Dee European Centre for Medium-Range Weather Forecasts ECMWF reanalysis: present and future.
Use of satellite data in the JRA-55 reanalysis and related activities Y.Harada, Shinya Kobayashi, Y.Ota, H.Onoda, A.Ebita, M.Moriya, Kazutoshi Onogi, H.Kamahori,
A Comparison of the Northern American Regional Reanalysis (NARR) to an Ensemble of Analyses Including CFSR Wesley Ebisuzaki 1, Fedor Mesinger 2, Li Zhang.
Reanalysis: When observations meet models
Slide 1 Wind Lidar working group February 2010 Slide 1 Spaceborne Doppler Wind Lidars - Scientific motivation and impact studies for ADM/Aeolus Erland.
Global Observing System Simulation Experiments (Global OSSEs) How It Works Nature Run 13-month uninterrupted forecast produces alternative atmosphere.
Global Flood and Drought Prediction GEWEX 2005 Meeting, June Role of Modeling in Predictability and Prediction Studies Nathalie Voisin, Dennis P.
CPPA Past/Ongoing Activities - Ocean-Atmosphere Interactions - Address systematic ocean-atmosphere model biases - Eastern Pacific Investigation of Climate.
1 JRA-55 the Japanese 55-year reanalysis project - status and plan - Climate Prediction Division Japan Meteorological Agency.
JRA-25 and JCDAS at NCAR Data from Japanese 25-year Reanalysis (JRA-25) and the operational follow- on JMA Climate Data Assimilation System (JCDAS) are.
Page 1 Strategies for describing change in storminess – using proxies and dynamical downscaling. Hans von Storch Institute for Coastal Research, GKSS Research.
Using satellite data to understand uncertainties in reanalyses: UERRA Richard Renshaw, Peter Jermey with thanks to Jörg Trentmann, Jennifer Lenhardt, Andrea.
1 AISC Workshop May 16-18, 2006 Lesson Learned from CCSP 1.1: Temperature Trends in the Atmosphere Lesson Learned from CCSP 1.1 Temperature Trends in the.
The NOAA Operational Model Archive and Distribution System NOMADS The NOAA Operational Model Archive and Distribution System NOMADS Dave Clark for Glenn.
Y. Fujii 1, S. Matsumoto 1, T. Yasuda 1, M. Kamachi 1, K. Ando 2 ( 1 MRI/JMA, 2 JAMSTEC ) OSE Experiments Using the JMA-MRI ENSO Forecasting System 2nd.
A Preliminary Evaluation of the Global Water and Energy Budgets in an Upcoming NASA Reanalysis Junye Chen (1,2) and Michael G. Bosilovich (2) 1 ESSIC,
Satellite-based Land-Atmosphere Coupled Data Assimilation Toshio Koike Earth Observation Data Integration & Fusion Research Initiative (EDITORIA) Department.
Graduate Course: Advanced Remote Sensing Data Analysis and Application A COMPARISON OF LATENT HEAT FLUXES OVER GLOBAL OCEANS FOR FOUR FLUX PRODUCTS Shu-Hsien.
NOAA’s Climate Prediction Center & *Environmental Modeling Center Camp Springs, MD Impact of High-Frequency Variability of Soil Moisture on Seasonal.
Hou/JTST NASA GEOS-3/TRMM Re-Analysis: Capturing Observed Rainfall Variability in Global Analysis Arthur Hou NASA Goddard Space Flight Center 2.
CTB computer resources / CFSRR project Hua-Lu Pan.
1 Developing Assimilation Techniques For Atmospheric Motion Vectors Derived via a New Nested Tracking Algorithm Derived for the GOES-R Advanced Baseline.
Ocean Surface heat fluxes
This study compares the Climate System Forecast Reanalysis (CFSR) tropospheric analyses to two ensembles of analyses. The first ensemble consists of 12.
Precipitation efficiency and its dependence on physical factors A look into the cloud response to climate warming Chung-Hsiung Sui 1 Institute of Hydrological.
John Mejia and K.C. King, Darko Koracin Desert Research Institute, Reno, NV 4th NARCCAP Workshop, Boulder, CO, April,
NCEP Data Reanalysis 陳漢卿. Data analyses Use the data available for the original operational NCEP analyses. (available from 1962) Add other datasets to.
Atmospheric Reanalyses Background and History: Background and History: “Analysis” for weather prediction (automated for NWP) “Analysis” for weather prediction.
A step toward operational use of AMSR-E horizontal polarized radiance in JMA global data assimilation system Masahiro Kazumori Numerical Prediction Division.
EVALUATION OF A GLOBAL PREDICTION SYSTEM: THE MISSISSIPPI RIVER BASIN AS A TEST CASE Nathalie Voisin, Andy W. Wood and Dennis P. Lettenmaier Civil and.
1 Yun Fan, Huug van den Dool, Dag Lohmann, Ken Mitchell CPC/EMC/NCEP/NWS/NOAA Kunming, May, 2004.
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Date: 28th Jan to 1st Feb Venue: Tokyo, Japan Co-hosting Organizations: JMA , CRIEPI, WCRP, (GEO, UT) International Programming Committee Dr. Phillip.
The Climate and the Human Activities The Climate and the Human Activities Natural Variations of the Water Cycle Natural Variations of the Water Cycle Water.
Munehiko Yamaguchi 12, Takuya Komori 1, Takemasa Miyoshi 13, Masashi Nagata 1 and Tetsuo Nakazawa 4 ( ) 1.Numerical Prediction.
Regional Re-analyses of Observations, Ensembles and Uncertainties of Climate information Per Undén Coordinator UERRA SMHI.
- Current status of COMS AMV in KMA/NMSC E.J. CHA, H.K. JEONG, E.H. SOHN, S.J. RYU Satellite Analysis Division National Meteorological Satellite Center.
Slide 1 Investigations on alternative interpretations of AMVs Kirsti Salonen and Niels Bormann 12 th International Winds Workshop, 19 th June 2014.
MODIS Atmosphere Group Summary Summary of modifications and enhancements in collection 5 Summary of modifications and enhancements in collection 5 Impacts.
Status and Outlook Evaluating CFSR Air-Sea Heat, Freshwater, and Momentum Fluxes in the context of the Global Energy and Freshwater Budgets PI: Lisan.
Stratosphere Issues in the CFSR
Use of TIGGE Data: Cyclone NARGIS
Reprocessing of Atmospheric Motion Vector for JRA-3Q at JMA/MSC
Progress on NOAA Climate Reanalyses development
UPDATE ON SATELLITE-DERIVED amv RESEARCH AND DEVELOPMENTS
A Comparison of Extratropical Cyclones in Recent Reanalyses
Update on Stratosphere Improvements in Reanalysis
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Climate sensitivity of the CCM3 to horizontal resolution and interannual variability of simulated tropical cyclones J. Tsutsui, K. Nishizawa,H. Kitabata,
Decadal Climate Prediction at BSC
Presentation transcript:

Japanese Reanalysis Project (JRA-25) M. Sugi CPD / JMA Workshop on Ongoing Analysis of the Climate Systems August 2003, Boulder

Japanese Reanalysis Project (JRA-25) Five-year joint project of JMA and CRIEPI (FY ) - Climate Prediction Division / JMA - Climate Research Department / MRI / JMA - Central Research Institute of Electric Power Industry (CRIEPI) JMA provides a data assimilation system. CRIEPI provides computer resources.

To produce a comprehensive analysis data set from the JMA data assimilation system for , - for advanced operational climate monitoring services of JMA, - for dynamical seasonal prediction, and - for various activities in climate system and global warming studies. The analysis cycle will be continued in JMA- CDAS (JCDAS) after JRA-25. Objectives of JRA-25

Schematic Framework

Chairperson Dr. Tomio Asai (Prof. Emeritus, Univ. of Tokyo/ JSTC) Members Prof. Toshiki Iwasaki (Tohoku Univ.) Prof. Masahide Kimoto (CCSR, Univ. of Tokyo) Prof. Toshio Koike (Univ. of Tokyo) Prof. Hisashi Nakamura (Univ. of Tokyo) Prof. Kimio Hanawa (Tohoku Univ.) Prof. Tetsuzo Yasunari (Nagoya Univ.) Dr. Masato Sugi (CPD/JMA) Dr. Hajime Nakamura (NPD/JMA) Dr. Takashi Aoki (CRD/MRI/JMA) Dr. Masafumi Mizutori (CRIEPI) JRA-25 Reanalysis Advisory Committee (2003)

CPD / JMA Mr. Kazutoshi Onogi (GL) Mr. Hiroshi Koide Mr. Masami Sakamoto Mr. Shinya Kobayashi MRI / JMA Dr. Nobuo Yamazaki Dr. Hirotaka Kamahori Dr. Kiyotoshi Takahashi CRIEPI Mr. Jun’ichi Tsutsui Mr. Hiroaki Hatsushika Dr. Shinji Kadokura Mr. Koji Wada JRA-25 Reanalysis Working Group

JRA-25 Reanalysis Evaluation Group 26 members have been already enrolled as core member. So far all the members are Japanese, researchers from overseas are welcomed. Experimental production will be available soon. Members -Access to the basic dataset of experimental and final products of JRA-25 through the Internet, and use them to their research activities. -Members are expected to contribute the evaluate work. Core members -Core-members can request other output products and related data. -These requests are considered with higher priority (in the limitation of the project schedule and observation data license) -Core-members have an obligation to report the results of evaluation to the working group.

Collection of observational data Format conversion and preliminary QC Porting of DA system to CRIEPI Construction of experiment and execution system Development of monitoring system Production System Fixed Stream Stream Data distribution and comprehensive evaluation Monitoring Experiments SST Land process TOVS assimilation SSM/I assimilation Sonde bias correction etc. Schedule of JRA-25 (Financial year)

T106L40 version of GSM (top: 0.4 hPa) Global 3D-Var assimilation system Land surface analysis (by T. Tokuhiro of CPD/JMA) COBE SST and sea-ice (by M. Ishii, T. Matsumoto et al. of CPD/JMA) 3D-ozone profile produced by CTM of JMA is given (by AED/JMA and MRI/JMA) Assimilation System

JMA archive ( present) ERA-40 observation (provided by ECMWF) –ECMWF and NCEP merged conventional archive used in ERA-40 Retrieved wind data surrounding tropical cyclones (provided by Dr. M. Fiorino of PCMDI/LLNL) –To analyze tropical cyclones correctly. –This kind of retrieval data have not been used in any other reanalyses. Observational Data(1)

TOVS(ATOVS) level1c (provided by ECMWF) Reprocessed GMS AMV wind ( present, provided by MSC/JMA) Reprocessed METEOSAT AMV wind ( , provided by EUMETSAT : included in ERA-40 observation data) –Every reprocessed wind data have Quality Indicator (QI). –Only high QI data are assimilated. SSM/I (provided by NCDC) –Retrieved precipitable water is assimilated in 3DVAR. –Snow coverage data are assimilated in snow analysis. Observational Data(2)

Impact of TC Wind Data

There is no problem if the wind retrieved data are put into rich observation area.

Ishii et al. –Centennial SST analysis from 1900 –The Kobe correction marine data are assimilated. –Good consistency with GISST, NCEP-SST –Low quality around seaice in part of polar area but being improved for JRA-25. GISST (UKMO) and/or NCEP-SST were used in other reanalyses except JRA-25.

COBE SST Nino area

Quality of reprocessed GMS winds Lower Wind –U Global Each observation is compared with first guess Classified by QI (Quality Indicator) Only high quality data will be used. observation first guess 0 ≦ QI < ≦ QI ≦ ≦ QI < ≦ QI < 70 第一推定値 値 Corr.=0.45Corr.=0.43 Corr.=0.48Corr.=0.94 High Quality

Radiosonde bias correction ERA-40 project report 2 (Onogi 2000) Daytime Night-time Difference Sample count Based on Onogi’s method which was applied in ERA-40 Correction is switched by every country or domain based on the statistics by Onogi (2000).

Validation of the Seasonal Cycle of Snow Coverage North America Eurasia (%) (experiment by Tokuhiro)

Comparison of reanalyses timeseries ( ) R1: unnaturally changed R2: naturally changed JRA: similar to ERA- 15 in autumn, similar to R2 in spring ERA-15: not melted

Reanalyses Comparison Global, NH, tropics, SH means Period : ~ (for 1 year) –JRA-25 experiment JH09 (no TOVS assimilated) –NCEP/NCAR Reanalysis I –NCEP/NCAR Reanalysis II –ERA-15 –ERA-40 Only half year ( ~ 6) Provided privately to Onogi by Per Kallberg Globaltropics (20S-20N) NH (20N-90N) SH (90S-20S)

100 hPa Temperature Due to TOVS ?

Future Plan of JRA (personal view) JRA-30 ( ) with Satellite Data - TL319, 4DVAR - reference for climate monitoring, model validation and JRA-50 - analysis and experiment of extremes (typhoon, heavy rain, etc) JRA-50 ( ) without Satellite Data - TL159 - analysis of long time climate variation - validation of the model and DA system with JRA-30 Historical Climate Simulation ( ) - AMIP or C20C type ensemble simulation - validation of the model with JRA-30

International Cooperation (personal view) Ensemble Re-analysis - to assess model dependency - validation of individual model - CDAS for climate monitoring & prediction Common Observation Database - accumulation of observation data - more feasible reanalysis Re-analysis Product Database - free and easy access - fundamental database for climate study

JRA-25 offcial web site