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A view from France Philippe Dandin Météo-France On behalf of the PR to WMO, François Jacq, Météo-France CEO & with valuable inputs from my colleagues from the research side WCRP JSC, Antalya, Feb. 2010. Climat. Climate research. French groups involved in WCRP activities.

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A view from FrancePhilippe DandinMétéo-France On behalf of the PR to WMO, François Jacq, Météo-France CEO& with valuable inputs from my colleagues from the research sideWCRP JSC, Antalya, Feb. 2010


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Climat

Climate research


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French groups involved in WCRP activities

  • CERFACS… IPSL (LMD, LSCE, LOCEAN…)… Météo-France CNRM…

    • Paris Bureau… Workshop Lille June 2010…

    • Two French climate models (CNRM & IPSL) in CMIP5 & CORDEX

  • Projects…

    • AMMA (Redelsberger, Lafore, Hourdin-AMMA-MIP), Concordiasi (Rabier)…

    • Thorpex, Mediterranean area: Hymex…

    • WGCM (Bony), ACC (Anthropogenic Climate Change) cross-cut (Le Treut…)…

    • Obs simulation (CFMIP Obs Simulator Package)

      (Calipso, EarthCare & "needs" tbd) (Chepfer, Bony, Planton…)

  • Model Intercomparison Projects coordinations:

    • Paleoclimate PMIP (Braconnot)

    • Coupled Climate Carbon Cycle C4MIP (Friedlingstein)

    • Cloud Feedback CFMIP (Bony)

  • Seasonal forecasting, Decadal prediction (Cassou, Céron)


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Higher scores for AMMABC

Lowest scores for NO AMMA

AMMA: African Monsoon Multidisciplinary Analysis

  • Better understand the mechanisms of the African monsoon and prevent dramatic situations (Redelsperger et al, 2006)

  • Enhanced observations over West Africa 2006 (esp. Radiosonde network)

  • Sustainability of the network remains challenging

AMMA: From the AMMA database AMMABC: AMMA + bias correction

PreAMMA: With a 2005 network NOAMMA: No Radiosonde data

F. Rabier (Météo-France, CNRM)


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Assimilation of humidity obs. over land

Assimilation of AMSU-B Ch2 (150 GHz) & Ch 5 (183±7 GHz) over land, 45 days

TCWV (EXP) - TCWV (CTL)

TCWV (CTL)

Karbou et al, 2009

F. Rabier (Météo-France, CNRM)


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Concordiasi. High-lat. assimilation of IR sensors

Assimilation of IASI & AIRS over polar areas (sea ice and land)

72h

48h

Blue: Positive impact of additional data

100

500

1000

50°S

80°S

50°S

80°S

Comparison of RMSE for forecasts at 48h & 72h

Error (exp. with additional data AMSUA/B, AIRS, IASI) – Error (Control)

IASI channels 167 (100hPa)Black dots: pixels assimilated in operations Color dots (Tb): Assimilation of IASI over land & sea ice for high peaking channels


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CNRM-CM5 for IPCC AR5

GHG

Ozone chem.

Atmosphere

ARPEGE-ClimatT127L, L31

Surface SURFEX

24h

24h

24h

OASIS

Sea ice

Run off

TRIP

Ocean

NEMO 1°, L42

24h


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Interactive ozone in climate simulations

The ozone hole in October in Antarctica

(1990-1999 – 1950-1959)

Positive feedback: Ozone depletion & local cooling

Impact on the atmospherical dynamics (acceleration of the vortex)


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Feedback to WCRP

  • The French climate groups are actively taking part to WCRP actions, e.g.

    • CERFACS on decadal prediction (seasonal forecast system extension)

    • IPSL is in most of the WCRP groups: ACC, paleo, cloud physics, satellite observations…

    • Météo-France mainly in WGNE activities: Models performance & improvement, optimal use of all types of observations (real time & reanalysis)

  • WCRP has a rich vision (challenges), many active groups. A rich structure too.

    • Keep it simple & focused (& as readable as the climate system can permit it…)

  • WGCM & WGNE co-ordinate MIPs & stimulate science

    • WCRP is enlarging the scope of such works (idealized & operational cases).

    • It’s another load for modelling groups, & a balance has to be found.

  • Météo-France

    • Supports the seamless approach, uses common models both for operations & research, real time & climate,

    • Recalls that high quality reanalysis are extremely important for climate research, and recommends that a strong support is given to ECMWF efforts, again and again.



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My challenges (a CCl-like view?)

  • WCRP & CCl to work closer, and fertilize each other

    • Transition from descriptive climatology to climate dynamics

    • Variabilities, anthropogenic change… uncertainties…skills… data quality… traceability…

    • Especially because of the GFCS – but not only, CCl/NMS as an intermediate user/relay

  • A need for a 2-way interaction & mutual support between research & operations.

    • Transfert from science to operations & (wise) use of science is a key challenge

    • Climatology as a provider for research, more than ever critical

  • Observation requirements and delivery (GCOS, CCl)

    • Rationale for the observation of the climate & needs of the climate research community (metrics, norms, quality… sustainability, budgets…). Density needed for a 0.10°C/century? Satellite vs in situ?

    • Future needs to be monitored now… IPCC Chapt.7 Clouds & aerosols? Hydrological cycle? Needs?

    • Few other items e.g supporting Data Rescue and other “orphan” efforts

  • Properly using the rich but sophisticated available information

    • How to use model/MME outputs? How to deal with uncertainties? To properly downscale? To renew the old toolbox & knowledge?

    • Developing the skills of the “intermediate” users, that have to provide elements describing the current and future states of the climate (homogeneization, uncertainties, decision making…)

    • Building the Climate Services, combining science expertise & servicing + delivering products the way users are used to.


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Let’s refurbish climatology: The "old" (vital) way…

  • Climate watch & analysis. Speaking about climate requires speaking about the current climate.

  • Climate & weather. A link to users & all day life. Train the forecasters!

  • Ex. The current cold wave

    • What kind of event is it? (it’s winter!) – variability? Change?

    • Try to explain. How? Why? When? When again?

  • Give a reference! An explanation?

  • What about the next (or the no show of) heat wave, snow, drought, wind, storm, cyclone…


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From description to dynamics & seasonal forecasting

Variability modes & circulation patterns are sometimes captured by climate models (used for seasonal forecasting). Sometimes the forecast miss the target, sometimes they don’t…

Seasonal forecasting as the first step to adaptation. And the link with the weather forecast and users.

See Céron & Bessemoulin (joint tech conf)

C. Cassou (CNRS-Cerfacs), 2008, Nature.


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What are Climate Services!? Our questions…

  • The spectrum of needs is broad. Can we deliver products? Can we answer? We have to.

    • Return period for T in 2050? Review of dimensioning norms? Should I take a decision now or wait for a decade of progress of climate sciences?

    • Explain all that stuff? Is it true? Is it worth? Tell me about these scenarios?! No error bar please.

  • Science has to be there, including “other sciences” too. Is it feasible, sustainable?

    • The complexity needs a systemic approach. Minimalism is currently offered…

    • Transition from science to services (& to court) requires more than just producing.

  • Users seek guidance in chaos & under pressure

    • Need for educating, training & transfer (should have learned about weather dependency first…)

    • A transition for capacities in our agencies (and let the DNA evolve!).

  • But entering into services is also a lot of trouble (having customers can be a nightmare)

    • Services? Operations? It’s when the phone rings, and the speaker shouts at you!

    • What can the operational partner offer to research to ease life?

  • Climate services can be partly set up in the lee of the traditional climatological ones

    • This is a straightforward way to meet the users (engineering) requirements

    • The formats, tools, contents, ways of delivering & servicing are known

    • A simple start, a bridge between the past & future


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DRIAS: A facility for servicing climate products

DRIAS: French Regional Climate data & products for Impact & Adaptation of our Society & Env.

Météo-France + Climate labs (CERFACS, IPSL, CNRM)

Aims: Give access to future climate info with expertise & guidance (help the user!)

  • Several GES, regional models, downscaling methods

  • Standard formats & products

  • Easy access (the way users are used to)

    Challenge: Reasonable industrialization of currently tailored made services

  • A web based delivery system (already used for delivering climatological & met products)

  • A benefit for the climate groups too (heavily loaded, from IPCC to… services)


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Thank you!Dr Philippe Dandin Météo-France Direction de la Climatologiephilippe.dandin@meteo.fr


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