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Switching from CORE to JRA-55 forcing Switching from CORE to JRA-55 forcing

Switching from CORE to JRA-55 forcing - PowerPoint Presentation

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Switching from CORE to JRA-55 forcing - PPT Presentation

Adele Morrison Kial Stewart Andy Hogg Paul Spence Aidan Heerdegen S econd global reanalysis conducted by the Japan Meteorological Agency Utilises fourdimensional variational ID: 638088

jra ncar salinity ryf ncar jra ryf salinity years model forcing year restoring average

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Slide1

Switching from CORE to JRA-55 forcing

Adele Morrison,

Kial

Stewart, Andy Hogg, Paul Spence, Aidan

Heerdegen

Slide2

Second global reanalysis

conducted by the Japan Meteorological Agency.

Utilises

four-dimensional variational analysis (4D-Var).Generally improved representations of phenomena on wide range of space-time scales.Endorsed by CLIVAR Ocean Model Development Panel, used by other groups (e.g. NCAR).1958-2012 (55 years) + ongoing (2013-present).0.5° resolution, 3-hourly.

Why JRA-55?

Frequency of spatial correlation of daily

precip

with obs over tropics (22°S-22°N)

Harada et al. 2016Slide3

The second global reanalysis conducted

by the Japan Meteorological Agency.

Utilises

four-dimensional variational analysis (4D-Var).Generally improved representations of phenomena on wide range of space-time scales.Endorsed by CLIVAR Ocean Model Development Panel, used by other groups (e.g. NCAR).1958-2012 (55 years) + ongoing (2013-present).0.5° resolution, 3-hourly

Why JRA-55?

Surface air temperature trend (K/

dec

), 1958-2001, compared with obs (HadCRUT4) with 80% data availability.

RMSE 0.099

RMSE 0.151

RMSE 0.129

Harada et al. 2016Slide4

Bias adjustment needed for ocean/sea-ice modelling

(as done for CORE and DRAKKAR projects) - led by Hiroyuki Tsujino (JMA-MRI) as part of OMDP-JRA55 collaborative effort.

Version

1.1 recently available including runoff; documentation will be complete by end of year.Intended for use in OMIP – version 2 of CMIP6.Ocean forcing dataset from JRA-55Slide5

CORE used a Normal Year Forcing (NYF) produced by a spectral averaging technique, but had many drawbacks (spatially noisy, lacking weather variance

etc).Proposal is to replace with RYF – repeated single year forcing.

Years are cut from 1 May to 30 April to avoid large discontinuities mid-season.

Selection of Repeat Year Forcing (RYF)

JRA-55

Our

uber

index = 4*SOI + 2*SAM + 1*NAO

Proposed years for testing: 1984-85, 1990-91, 2003-04.

NCAR decided on same 3 years using

uber

index = 1*NAO + 1*SOI + 0.8*SAM + 0.5*NPISlide6

We have yet to test in our models – will begin

asap.Comparison of RYF years in 1° NCAR model:

Selection of Repeat Year Forcing (RYF)

AMOC

NCAR prefers 1990-91 RYF, due to reduced global cooling, larger AMOC.

Suggested that different groups may select different RYF years, due to strong sensitivity of model climate state to model choices and salinity restoring.

NCAR is awaiting our RYF evaluation before making public recommendations and data releases of RYF.

What diagnostics do we care about?Slide7

Initial conditions –

WOA13v2 temperature and salinity averaged over 1955-2012, – 0.25°, January in top 1500 m, ‘winter’ average below 1500 m (same as NCAR).

WOA13v2 data used for sea surface salinity restoring

– 0.25°, average of 1.25 m and 10 m levels (following NCAR protocol). Will test restoring timescale / salinity cap for JRA-55 forced models. Other changes to model configurationSlide8

Initial conditions –

WOA13v2 temperature and salinity averaged over 1955-2012, – 0.25°, January in top 1500 m, ‘winter’ average below 1500 m (same as NCAR).

WOA13v2 data used for sea surface salinity restoring

– 0.25°, average of 1.25 m and 10 m levels (following NCAR protocol). Will test restoring timescale / salinity cap for JRA-55 forced models. Splitting of JRA-55 Antarctic runoff into basal melt and iceberg melt (distributed spatially according to Merino et al. 2016 climatology).Other changes to model configuration