SPARC Reanalysis Intercomparison Project (S-RIP)
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https://s-rip.ees.hokudai.ac.jp/ ‒ One of the WCRP core projects ‒
SPARC Reanalysis Intercomparison
Project (S-RIP)
Masatomo Fujiwara1, G. L. Manney2, 3, L. J. Gray4, 5, J. S. Wright6,
and the S-RIP team
1HokkaidoUniversity, Japan; 2NorthWest Research Associates, USA; 3New Mexico Institute of
Mining and Technology, USA; 4University of Oxford, UK; 5NCAS, UK; 6Tsinghua Univ., China
1
SPARC General Assembly and SSG Meeting, Sapporo, Japan, October 2018
Introduction
• Proposed in 2011; started in 2013 https://s-rip.ees.hokudai.ac.jp/
Table: List of global atmospheric
• Annual workshops with DAWG in 2014-2017 reanalyses currently available.
• The goals of S-RIP are: Reanalysis Centre Name of the Reanalysis Products
• to create a communication platform between (Contacts for S-RIP)
SPARC-related researchers and the reanalysis ECMWF (R. Dragani) ERA-40, ERA-Interim,
centres (ERA-20C, ERA-20CM), (CERA-20C),
• to better understand the differences among [ERA5]
current reanalysis products and their underlying JMA JRA-25, JRA-55 (and JRA-55C, JRA-
causes (Y. Harada, C. Kobayashi) 55AMIP)
• to provide guidance to reanalysis data users by NASA (K. Wargan) MERRA, MERRA-2
documenting the results of this reanalysis
intercomparison in peer reviewed papers and the NOAA/NCEP NCEP-NCAR R-1, NCEP-DOE R-2,
SPARC S-RIP report (2019) (C. Long, W. Ebisuzaki) CFSR
• … with these activities … to contribute to future NOAA & Univ. Colorado (20CR)
reanalysis improvements (G. Compo, J. Whitaker)
The S-RIP Planning Meeting 2
(Met Office, UK, 2013)
Introduction
Co-leads: M. Fujiwara, G. Manney, L. Gray https://s-rip.ees.hokudai.ac.jp/
Report Editors: M. Fujiwara, G. Manney, L. Gray, J. Wright
Chapter Title Chapter Co-leads
1 Introduction Masatomo Fujiwara, Gloria Manney,
Lesley Gray
2 Description of the Jonathon Wright, Masatomo Fujiwara,
Reanalysis Systems Craig Long
3 Overview of Temperature Craig Long, Masatomo Fujiwara
and Winds
4 Overview of Ozone and Michaela Hegglin, Sean Davis
Water Vapour
5 Brewer-Dobson Circulation Thomas Birner, Beatriz Monge-Sanz
6 Extratropical Stratosphere- Edwin Gerber, Patrick Martineau
Troposphere Coupling
7 Extratropical UTLS Cameron Homeyer, Gloria Manney
8 Tropical Tropopause Layer Susann Tegtmeier, Kirstin Krüger
9 QBO James Anstey, Lesley Gray
10 Polar Processes Michelle Santee, Alyn Lambert,
Gloria Manney
11 Upper Strato. Lower Lynn Harvey, John Knox
Mesosphere
12 Synthesis Summary Fujiwara, Manney, Gray
3
(plus ~10 team members for each)
Inter-Journal Special Issue on
"The SPARC Reanalysis
Intercomparison Project (S-RIP)"
• Editors for ACP: P. Haynes, G. P. Stiller, and W. Lahoz We really thank the
• Editor for ESSD: G. P. Stiller handling editors (J. Perlwitz,
S.-W. Son, V.-H. Peuch), the
• Current number of papers: 27 reviewers, and the SPARC
• Updated Deadline: 31 December 2019 Office for handling the
interim report manuscripts
• Papers on Chapters 1-4 (as an “interim report” of the S-RIP activity)
• Chapters 1-2: Fujiwara, Wright, et al., ACP, 2017
• Chapter 3: Long et al., ACP, 2017
• Chapter 4: Davis, Hegglin, et al., ACP, 2017
• https://www.atmos-chem-phys.net/special_issue829.html
• https://www.earth-syst-sci-data.net/special_issue10_829.html
4
S-RIP – DA Workshop at S-RIP Chapter-lead Meeting,
ECMWF, Oct. 2017 Boulder, June 2018
S-RIP Side-meeting, Kyoto, 5 Oct. 2018
(~25 participants (10 chapter co-leads included))
(Discussion items: S-RIP Report, Future of the S-RIP)
5
S-RIP Report (as a SPARC report series)
• Timeline (as of June 2018):
• Near-final drafts: By the end of August 2018
• Completed manuscripts ready for review: By the end of October 2018
• Expected publication date: Around the end of 2019
• The recommendation/evaluation/rating table (for each diagnostic for each
reanalysis dataset) at the end of each chapter
• Demonstrated suitable (in close agreement with observational or physical constraints)
• Suitable with limitations
• Use with caution
• Demonstrated unsuitable
• Unevaluated
6
Future of the S-RIP
• We will not hold an official workshop in 2019 (but may participate in the DA ws).
• 2019:
• Work on S-RIP Report (review process, copy-editing, etc.)
• Consider to archive processed data used in the figures of the report (e.g., at CEDA with a DOI)
• Write an overview paper in BAMS
• Ideas for 2020 and beyond:
• Planned new products: ERA5 (2019); CRA-40 (2020?); “MERRA-3” (2021?); JRA-3Q
(2022); CFSv3 (2020-22?) Re-start the full activity around 2022
• 2020-2021:
• Take a short break, but . . .
• Keep the S-RIP website up-to-date / maintain a scaled-down formal group to monitor,
communicate, and coordinate S-RIP-related activities
• Seek for more direct connection with modelling community (CCMI, CMIP) and observation
community (e.g., NDACC), by organizing side meetings or sessions with an S-RIP focus
• (Capacity-building type regional workshops e.g., in India?) 7
A final note:
TIRA: WCRP Task Team for Intercomparison of ReAnalyses
• Formed in October 2016
• Led by Michael G. Bosilovich (NASA)
• Members: Reanalysis Centres, Data centres (CREATE IP, WRIT), WCRP core-
project liaison (M. Fujiwara for SPARC)
• Telecons every ~6 weeks
• Two more co-leads since Feb. 2018: Jan Keller (Univ. Bonn) and M. Fujiwara
• Organizing a reanalysis session in recent AGU Fall Meetings
• On-going small project on energy budget and water cycle
8Backup slides
9Recommendation/evaluation/rating table – more details
• *Demonstrated suitable*: The reanalysis product is in close agreement with
observational or physical constraints.
• *Suitable with limitations*: The reanalysis product appears to be performing well, but
suitable constraints are unavailable or not convergent
• *Use with caution*: The reanalysis product contains all elements necessary to provide a
useful representation of this variable or process, but that representation has evident red
flags
• *Demonstrated unsuitable*: The reanalysis product has been flagged as unable to
represent processes that are key for this diagnostic by this report or previous studies
• a reanalysis should be classified as ‘demonstrated unsuitable’ for a particular diagnostic only when
(1) it shows poor agreement with other reanalyses and/or observations, (2) the reason for that poor
agreement has been clearly identified, and (3) the fault has been demonstrated to lie with the
reanalysis.
• *Unevaluated*: used if the performance of the reanalysis product with respect to this
diagnostic or variable has not been examined in this report or by previous studies.
10“Reanalysis”?
• A global atmospheric “re-”analysis system consists of
• a global forecast model (i.e., general circulation model) – fixed over time
• an assimilation scheme (e.g., 3D-Var, 3D-FGAT, GSI + IAU, 4D-Var, EnKF) – fixed over time
• input observations – better treatments (e.g., better QC, more data)
• … and produces best estimates (analyses) of past atmospheric states for studies on weather and
climate processes and for validation of (chemistry) climate models
• Current reanalysis centers: ECMWF, JMA, NASA, and NOAA
(Based on http://www.jma.go.jp/jma/kishou/know/whitep/1-3-1.html) 11
(http://www.wmo.int/pages/prog/www/OSY/GOS.html)Global atmospheric reanalyses
Reanalysis system Year (system) Horizontal resolution Vertical levels Top level
ECMWF ERA-40 [1957.9-2002.8] 2001 ~125 km 60 (hybrid σ–p) 0.1 hPa
ERA-Interim [1979 - ] 2007 ~79 km 60 (hybrid σ–p) 0.1 hPa
ERA-20C [1900-2010] (*) 2012 ~125 km 91 (hybrid σ–p) 0.01 hPa
CERA-20C [1901-2010] (*) 2016 ~125 km 91 (hybrid σ–p) 0.01 hPa
ERA5 [2008-2018] (1950-, in 2019) 2016 ~31 km 137 (hybrid σ–p) 0.01 hPa
JMA JRA-25 [1979-2014.1] 2004 1.125° 40 (hybrid σ–p) 0.4 hPa
JRA-55 [1958 - ] 2009 ~55 km 60 (hybrid σ–p) 0.1 hPa
NASA MERRA [1979-2016.2] 2008 1/
2° lat. × 2/3° lon. 72 (hybrid σ–p) 0.01 hPa
MERRA-2 [1980 - ] 2015 0.5° lat. × 0.625° lon. 72 (hybrid σ–p) 0.01 hPa
NOAA R1 (NCEP-NCAR) [1948 - ] 1995 1.875° 28 (σ) 3 hPa
R2 (NCEP-DOE) [1979 - ] 1998 1.875° 28 (σ) 3 hPa
CFSR/CFSv2 [1979 - 2010/2011-] 2007 0.3125° 64 (hybrid σ–p) ~0.266 hPa
(*) Surface-input RAs
20CR v2c [1851-2011] (*) 2008 1.875° 28 (hybrid σ–p) ~2.511
12 hPaYou can also read
