T h e C o p e r n i c u s M a r i n e S e r v i c e G l o b ... -...
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Marine Monitoring Implemented by Drevillon Marie¹; Drillet Yann¹; Bourdallé-Badie Romain¹, von Schuckmann Karina¹, Gounou Amanda², Masina Simona³, Cipollone Andrea³, Jackson Laura⁴, Wood Richard 4 , Zuo Hao 5 , Peterson Andrew 6 , Bricaud Clément 1 , Balmaseda Magdalena 5 , Storto Andrea 7 , Gasparin Florent¹ The Copernicus Marine Service Global Reanalysis Ensemble Product GREP: deriving robustness estimates for ocean variability over the altimetry era ¹Mercator Ocean, France ²Mercator Ocean / CELAD, France ³CMCC, Italy ⁴Met Office, UK ⁵ECMWF, UK 6 Environment Canada, Canada 7 CMRE / NATO, Italy
Transcript of T h e C o p e r n i c u s M a r i n e S e r v i c e G l o b ... -...
Marine Monitoring
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Drevillon Marie¹; Drillet Yann¹; Bourdallé-Badie Romain¹, von Schuckmann Karina¹, Gounou Amanda², Masina Simona³, CipolloneAndrea³, Jackson Laura⁴, Wood Richard4, Zuo Hao5, Peterson Andrew6, Bricaud Clément1, Balmaseda Magdalena5, Storto Andrea7 , GasparinFlorent¹
T h e C o p e r n i c u s M a r i n e S e r v i c e G l o b a l R e a n a l y s i s E n s e m b l e P r o d u c t G R E P :
d e r i v i n g r o b u s t n e s s e s t i m a t e s f o r o c e a n v a r i a b i l i t y o v e r t h e
a l t i m e t r y e r a
¹Mercator Ocean, France
²Mercator Ocean / CELAD, France ³CMCC, Italy
⁴Met Office, UK
⁵ECMWF, UK 6Environment Canada, Canada7CMRE / NATO, Italy
Marine Monitoring
O v e r v i e w
GREP : a global 1993-2017 multi-reanalysis ensemble product at ~25km and daily frequency
Ocean Monitoring Indicators and their robustness estimates
Other applications
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Design and evaluation
G R E P
Marine Monitoring ✓ Use of NEMO ORCA025 (1/4°) + LIM & 75 vertical levels
✓ Forced with ERA-interim reanalysis
✓ Multivariate assimilation of satellite SST, SLA, in situ T/S profiles + satellite Sea Ice concentrations
✓ oceanic initial conditions for coupled ocean-atmosphere seasonal(re)forecasts
✓ 1993-2017 ensemble mean, standard deviation and individualmembers for T, S, U, V, SSH, SIC available in July 2019 frommarine.copernicus.eu✓ ¼°x ¼° daily frequency available in July 2019
✓ 1°x1° monthly 1993-2016 already online
✓ CMEMS open and free data policy
F o u r r e a n a l y s i s p r o d u c t s u s i n g N E M O ¼ °
Marine Monitoring
F o u r r e a n a l y s i s p r o d u c t s u s i n g N E M O ¼ °
Name / main reference Productioncentre
Modelversion
Assimilation
GLORYS2V4 / Lelloucheet al (2013) , OceanScience
Mercator
Océan
NEMO3.1
LIM2
SAM2 (SEEK) & 3Dvar bias correction
7-day assimilation window
Hybrid MDT (obs+model)
GLOSEA5v13 /MacLachlan et al (2014)QJRMS
UK MetOfficeHadleyCenter
NEMO3.4
CICE4.1
NEMOVAR (3Dvar) & bias correction
1-day assimilation window
Hybrid MDT
C-GLORSv7 / Storto et al(2016) QJRMS
CMCC NEMO3.6
LIM2
OceanVar (3Dvar) & bias correction
7-day assimilation window
Model MDT
ORAS5 / Zuo et al(2017) ECMWF TechMemo
ECMWF NEMO3.4.1
LIM2
NEMOVAR (3Dvar) & bias correction
5-day assimilation window
Model MDT
Marine Monitoring
E v a l u a t i o n w i t h G O D A E C L A S S 4 m e t r i c s
All individual members are evaluated with CLIVAR/GSOP/GODAE metrics
check of accuracy with respect to assimilated in situ T & S profiles
Marine Monitoring
E v a l u a t i o n o f i n d i v i d u a l m e m b e r s : G L O R Y S
RMS < 0.3 m.s-1
Underestimation of EUC (Equatorial Under Current)Continuous improvement since the beginning of GLORYS-> data assimilation & mean dynamic topography
Independent current meters from TAO/TRITON (in situ TAC)
V3
CurrentV4
OBS
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O c e a n s t a t e r e p o r t i n g w i t h G R E P
Marine Monitoring
O c e a n S t a t e R e p o r t
Online summary and indicators for• EU and Member States policy makers• Environmental agencies• Regional Sea Conventions • International organizations (IPCC, UN
SDG14, OECD…)
Reference eu peer reviewed annualreport (now #4 in preparation) based on CMEMS products
Marine Monitoring
A s s e s s i n g r o b u s t n e s s o f O M I s w i t h G R E P
Heat content using GREP ensemble mean + CORA + ARMOR3D shading = where signal < spread
Online Ocean Monitoring Indicator OMI
Time series canbe downloaded
Marine Monitoring
A s s e s s i n g r o b u s t n e s s o f O M I s w i t h G R E P
Marine Monitoring
A s s e s s i n g r o b u s t n e s s o f O M I s w i t h G R E P
Color : velocity @15m trend 1993-2016Contour : velocity @15m mean value 1994-2014
Velocity @15m using GREP + Globcurrent (SLA + Ekman ERA interim)
In OSR #2 Refs : Yang et al (2016) JGR OceansWu et al (2012) Nature CC
shading : U 0-500m mean 1993-2014Red : U 0-500m mean 2016
Marine Monitoring
A s s e s s i n g r o b u s t n e s s o f O M I s w i t h G R E P
AMOC using GREP ensemble mean(black line)and RAPID array Smeed et al (2016) measurements (red line)shading = spread = standard dev. between GREP members
Spread isreducedthanks to obs. from RAPID and ARGO
In OSR #2
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O t h e r a p p l i c a t i o n so f G R E P
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N e e d f o r d e e p o c e a n o b s e r v a t i o n s
Differences of the 2006-2015 minus 1996-2005 temperature at 3,000 m from the GREPocean reanalyses; (a) C-GLORS, (b) FOAM, (c) GLORYS2V4 and (d) ORAS5. Unit is C.
Differences in the deep ocean illustrate the critical need for more frequent and global deep ocean observations
Gasparin et al, 2019
Marine Monitoring
I m p a c t o f c h a n g e s i n t h e o b s e r v i n g n e t w o r k
Global reduction of steric sealevel spread in GREP thanks to ARGO
Storto et al, 2018, Clim. Dyn.
Marine Monitoring
T r o p i c a l P a c i f i c o b s e r v i n g n e t w o r k
GREP standard deviation 0-300m Ocean Heat Content @[5°N-8°N]
Argo float(x)
TAO/TRITON(x)
Both ARGO and moorings contributein reducing GREP’sspread
Marine Monitoring
M u l t i m o d e l e r r o r s t a t i s t i c s f o r d a t a a s s i m i l a t i o n
Storto et al, 2018, Climate Dynamics
The use of a hybrid ensemble-variationalscheme allows a reduction of errors o(10%)
Marine Monitoring
S u m m a r y
GREP : ensemble of global reanalyses, and derived oceanmonitoring indicators and uncertainty estimates are availablefrom CMEMS -> powerful tool for ocean reporting (see poster P-100)
GREP is complementary with reanalyses at higher resolutionavailable from CMEMS (global, regional); intercomparison and ensemble approaches are favored to providereliability/robustness estimates for CMEMS indicators
Spread from GREP shows where observations are needed
spread/uncertainty is large before ARGO period -> central roleof sustainable observing system
Spread from GREP can be used to derive flow-dependent errors
Marine Monitoring In OSR#2
A s s e s s i n g r o b u s t n e s s o f O M I s w i t h G R E P
Volume transports using GREP
Marine Monitoring
E v a l u a t i o n o f i n v i d u a l m e m b e r s : G L O R Y S
Independent SVP drifters with drogue loss correction (in situ TAC)
Global agreement is good Overestimation of westward branch in Western Tropical PacificContinuous improvement since the beginning of GLORYS-> data assimilation & mean dynamic topography
