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Jean-Luc Redelsperger, THORPEX Sept 2008
(1)(1) The international AMMA The international AMMA programmeprogramme
(2)(2) AMMA activities directly related to AMMA activities directly related to THORPEXTHORPEX
Jean-Luc Redelsperger, THORPEX Sept 2008Vapor channel Meteosat
Precipitating Mesoscale Convective Systems
Same key events for Weather and Climate
A coordinated international program on West African monsoon (WAM), its variability and impacts with an emphasis on daily-to-interannual timescales
Jean-Luc Redelsperger, THORPEX Sept 2008
(1)(1) To improve our understanding of the WAM & itsTo improve our understanding of the WAM & itsinfluence on environment regionally & globallyinfluence on environment regionally & globally
A coordinated international program on West African monsoon (WAM), its variability and impacts with an emphasis on daily-to-interannual timescales
(2)(2) To provide the underpinning science that relates To provide the underpinning science that relates WAM variability to related societal issues in WAM variability to related societal issues in defining & implementing relevant monitoring & defining & implementing relevant monitoring & prediction strategiesprediction strategies
(3)(3) To ensure that the research carried out in AMMA is To ensure that the research carried out in AMMA is effectively integrated with prediction & decision effectively integrated with prediction & decision making activitymaking activity
A long term program launched in 2002, including field experiments and long termobservations
AMMA will be pursued at least up to 2015
Jean-Luc Redelsperger, THORPEX Sept 2008
Endorsed by major international programmes
(Algeria, Belgium, Benin, Burkina Faso, Cabo Verde, Cameroon, Chad, Congo, Denmark, France, Gabon, Gambia, Germany, Ghana, Guinea Bissau, Guinea Conakry, Italy, Ivory Coast, Mali, Morocco, Mauritania, Netherlands, Niger, Nigeria, Senegal, Spain, Togo, UK, USA)
~ 500 scientists from 30 countries & ~140 institutions (Africa, Europe, USA)
AMMA: An international long term program
Collaboration
Founding Agencies
African Regional Centres
Main Supporting Agencies
Jean-Luc Redelsperger, THORPEX Sept 2008
Enhanced Obs. Period
Long term Observation Period
2002
Supra-regional(WAM + Ocean)
Meso
Regional
Local
SPACE (km)
2005 2006 2007 2008
1000
10
100
104Catch, Idaf, PhotonPirata, ….
SOP0: Dry phase
SOP1: Monsoon Onset
SOP2: Monsoon Max
SOP3: Late Monsoon, TC1
IOPs
2
IOPs
3
IOPs
SOPs
00
Monsoon Phases 0 1 0
September
<----------------------------------> <------------------------------------------------->
AMMA SOPs
SOP0
_a1
SOP0
_a2
SOP2
_a2
SOP1
_a
3
October November DecemberJune July August
AMMA SOP Year: 2006
2
January March April MayFebruary
SOP1
<---- SOP Ground instruments remaining on site for the whole annual cycle (AMF, Aerosol Measurements, Lidars, …) ----->
<----------------->
SOP3
_a1
SOP3<------->
SOP2
_a3
SOP2
_a1
SOP0 SOP2
Nested Observation Strategy
Jean-Luc Redelsperger, THORPEX Sept 2008
LOP/EOP observation strategy
(( (( NiameyNiameyDakarDakar
OuagaOuaga
GourmaGourma
OuOuéémméé
SalSal
MesoscaleMesoscale sitessites
PIRATA PIRATA BuoysBuoys
RadioRadio--soundings soundings
Atalante
Nested periods & domains (multiscale approach
Jean-Luc Redelsperger, THORPEX Sept 2008
Radio soundingsIntensified RS during the SOP
GPS Weather radars
Water Budget QuadrilateralVHF
UHF
ProfilersEOP stationSOP station
SOP AMMA Deployment
SAGA Project
Radio soundingsIntensified RS during the SOP
GPS Weather radars
Water Budget QuadrilateralVHF
UHF
VHF
UHF
ProfilersEOP stationSOP stationEOP stationSOP station
SOP AMMA Deployment
SAGA Project
SOP AMMA Deployment
SAGA Project
1.5 1.6 1.7 1.8 1.9 2
9.6
9.7
9.8
9.9
DjougouDonga
Bira
Béléfoungou
km0 5 10 15 20
Nangatchori
Kopargo
Nalohou
X-Port
Ronsard
Weather radar
UHF profiler
VHF profiler
Disdrometer
GPS station
Photometer
Hydro transect
Scintillometer
IDAF
Chemistry
1.5 1.6 1.7 1.8 1.9 2
9.6
9.7
9.8
9.9
DjougouDonga
Bira
Béléfoungou
km0 5 10 15 20
Nangatchori
Kopargo
Nalohou
1.5 1.6 1.7 1.8 1.9 2
9.6
9.7
9.8
9.9
1.5 1.6 1.7 1.8 1.9 2
9.6
9.7
9.8
9.9
DjougouDonga
Bira
Béléfoungou
km0 5 10 15 20
Nangatchori
Kopargo
Nalohou
X-PortX-Port
RonsardRonsard
Weather radar
UHF profiler
VHF profiler
Disdrometer
GPS station
Photometer
Hydro transect
Scintillometer
IDAF
Chemistry
Weather radar
UHF profiler
VHF profiler
Disdrometer
GPS station
Photometer
Hydro transect
Scintillometer
IDAF
Chemistry
On each mesoscale site
Parakou
Djougou
Rain Recorder
Daily rain
Streamflow Rec.
Piezometer Rec.
Flux station
Met. Station
Radiosounding
Parakou
Djougou
Rain Recorder
Daily rain
Streamflow Rec.
Piezometer Rec.
Flux station
Met. Station
Radiosounding
Rain Recorder
Daily rain
Streamflow Rec.
Piezometer Rec.
Flux station
Met. Station
Radiosounding
Jean-Luc Redelsperger, THORPEX Sept 2008
West African West African radiosonderadiosonde network during AMMA network during AMMA EOP 2005EOP 2005--20072007
21 stations were active during EOP
Greatest density of RS ever launched (even greater than during GATE 1974)
200 radiosonde operators and technicians working on the network + students and researchers from Africa, the Americas and Europe
ASECNA responsible for consumable management
Parker et al. 2008
established
new
reactivated
2006 only
1/day
2/day
4/day
4/day, up to8/day duringtwo IOPs
inactive
Jean-Luc Redelsperger, THORPEX Sept 2008
Summary statistics for EOP 2005Summary statistics for EOP 2005--20072007
Improvement of the radiosonde network is one of the big successes of AMMA
During 2006 & 2007 many more sondes were received at operational centers
The success rate was sustained and improved in 2007, with GTS gradually taking over from email transmission
Parker et al. 2008
Month
ly m
ean s
ondes
per
day
, sh
aded
)
Success rate GTSSuccess rate including satellite and email communication
Dakar RTH failure
Niamey lightningdamage
Jean-Luc Redelsperger, THORPEX Sept 2008
International Science Plan International Science Plan (2005)(2005)
African Science Plan African Science Plan (2006)(2006)
Initiated & steered mainly by North Initiated & steered mainly by North CountriesCountriesLaunched in Niger (2002)Launched in Niger (2002)
2002-2008P
rogr
amP
rogr
ambu
ildin
gbu
ildin
gM
ain
Mai
n or
ient
atio
nsor
ient
atio
ns
200 people, 200 people, 60 Thesis, Summer schools, 60 Thesis, Summer schools, Research FundingResearch Funding
500 people, 30 countries500 people, 30 countries
Building an African scientific Building an African scientific community community Building a strong international Building a strong international scientific communityscientific community
Significant advances on processes Significant advances on processes ((e.g.e.g.aerosol, interactions oceanaerosol, interactions ocean--atmosatmos--land)land)
MultiMulti--disciplinary research disciplinary research
Unique Unique multiscalemultiscale datasetdatasetUpgrade/Restore(soundings, aerosol, Upgrade/Restore(soundings, aerosol,
buoys, hydrology, buoys, hydrology, ……))
Knowledge orientedKnowledge orientedMultiMulti--scale & multiscale & multi--disciplinary with disciplinary with emphasis on geophysics partemphasis on geophysics part
Research Field ExperimentsResearch Field ExperimentsLong term observation network for Long term observation network for geophysicsgeophysics
ISSC: Leading scientists & coordinators of ISSC: Leading scientists & coordinators of major contributing projectsmajor contributing projects
IGB built in a 2nd step after funding of IGB built in a 2nd step after funding of major projectsmajor projects
Initially built by a small group Initially built by a small group (France, UK, USA)(France, UK, USA)MultiMulti--project management => project management => coordination of a coherent program coordination of a coherent program
Com
mun
ityC
omm
unity
Coo
rdin
atio
n C
oord
inat
ion
ACHIEVEMENTS
Jean-Luc Redelsperger, THORPEX Sept 2008
Initiated & steered mainly by North Initiated & steered mainly by North CountriesCountriesLaunched in Niger (2002)Launched in Niger (2002)
2002-2008P
rogr
amP
rogr
ambu
ildin
gbu
ildin
gM
ain
Mai
n or
ient
atio
nsor
ient
atio
ns
Building an African scientific communityBuilding an African scientific community
Building a strong international scientific Building a strong international scientific communitycommunity
Knowledge orientedKnowledge oriented
MultiMulti--scale & multiscale & multi--disciplinary with disciplinary with emphasis on geophysics partemphasis on geophysics part
Research Field ExperimentsResearch Field ExperimentsLong term observation network for Long term observation network for geophysicsgeophysics
Initially built by a small group (France, Initially built by a small group (France, UK, USA)UK, USA)
MultiMulti--project management => project management => coordination of a coherent programcoordination of a coherent program
Com
mun
ityC
omm
unity
Coo
rdin
atio
n C
oord
inat
ion
FUTUR
To be established & steered together by North To be established & steered together by North & South Countries in consolidating the success & South Countries in consolidating the success of 2002of 2002--2008 phase2008 phase
--Integration of Integration of ““processprocess”” knowledge (WAM knowledge (WAM understanding; NWP/Climate models)understanding; NWP/Climate models)--Scale Integration (up/down)Scale Integration (up/down)--PluriPluri--disciplinarydisciplinary => Interactions Societies=> Interactions Societies--EnvironmentEnvironment--Climate (start with specific pilots)Climate (start with specific pilots)--Relevant monitoring for Application & Relevant monitoring for Application & Research in regard societal issuesResearch in regard societal issues--Applications (High impact weather & climate Applications (High impact weather & climate predictions, EWS, predictions, EWS, ……))
--An African community including scientist, users An African community including scientist, users & decision makers& decision makers (a long (a long wayway))--A community bringing together scientists, A community bringing together scientists, application experts & decision makers, taking in application experts & decision makers, taking in account the North and South componentsaccount the North and South components
--An international program covering all aspects An international program covering all aspects including capacity building and applicationsincluding capacity building and applications--A governing structure to steer this programA governing structure to steer this program--An International Project OfficeAn International Project Office
Jean-Luc Redelsperger, THORPEX Sept 2008
ISSCISSC
IGBIGB
Links with International Programmes (WCRP, IGBP, THORPEX, ..)
WG1WG1
WG2WG2
WG3WG3
WG4WG4
WG5WG5
WAM & global climate (incl aerosol & chemistry
Water cycle
Surface-atmospherefeedbacks
Prediction of climateimpacts
High impact weather prediction
AMMA National & PanScientific Committees
CCG1CCG1 Climate Modelling
Long term observations (incl satellite)
Capacity building Training
CCG2CCG2
CCG3CCG3
POPOCrossCross--Cutting Cutting GroupsGroups
Jean-Luc Redelsperger, THORPEX Sept 2008
WG5 High impact weather prediction
Presentation prepared with Chris Presentation prepared with Chris ThorncroftThorncroft Leader of WG5Leader of WG5
Highlight the following contributions to this WG:Highlight the following contributions to this WG:
(1)(1) Tailoring and evaluation of forecast products for users in tropiTailoring and evaluation of forecast products for users in tropical regionscal regions
Forecasting Methods (Handbook) and ProductsForecasting Methods (Handbook) and Products
Evaluation of Forecast Models Evaluation of Forecast Models
(2) Predictability studies and observing system experiments(2) Predictability studies and observing system experiments
Focus on Humidity: Sounding correction and use of microFocus on Humidity: Sounding correction and use of micro--wave over land wave over land
Making use of the enhanced sounding network provided by AMMA Making use of the enhanced sounding network provided by AMMA in in 2006/20072006/2007
Jean-Luc Redelsperger, THORPEX Sept 2008
(1) Tailoring and Evaluation of Forecast Products
Tailored products
Elaborated for the SOP by Forecasters and Researchers (met observations, satellite and NWP products)
-Feeding a Web site still operational and used
-Weather analyses and forecast charts tailored to West (and North) Africa=> Extended to other Africa region (ACMAD and coll)
Jean-Luc Redelsperger, THORPEX Sept 2008
(1) Tailoring and Evaluation of Forecast Products
Weather analyses and forecast charts based on the SYNERGIE system
The system provides a means through which key features (e.g. convection, AEWs, AEJ) can be graphically represented on a chart to facilitate the transfer of information based on satellite, model analyses and forecasts onto a single chart.
Jean-Luc Redelsperger, THORPEX Sept 2008
ExtendedExtended toto Southern AfricaSouthern Africa synthetic forecastsynthetic forecast
SASF SASF ValidValid 18z 02/11/0618z 02/11/06
From Z. Mumba ACMAD)
Jean-Luc Redelsperger, THORPEX Sept 2008
(1) Tailoring and Evaluation of Forecast Products
Tailored productsElaborated for the SOP by Forecasters and Researchers (met observations, satellite and NWP products)-Feeding a Web site still operational and used-Weather analyses and forecast charts tailored to West (and North) Africa
=> Extended to other Africa region (ACMAD and coll)
Forecasting HandbookNeed of a forecasters’ handbook for West Africa has been a clear output from SOP preparation and operation
Content-information about our knowledge of the nature and predictability of the key weather systems impacting West Africa-information on prediction methods and available NWP tools that includes the use of ensemble prediction systems.
Mobilizing the funds and human resources to support this project has meant delays in moving forward. More close to AMMA dream ?
Jean-Luc Redelsperger, THORPEX Sept 2008
Evaluation of forecast models
-Taking place in several groups in AMMA – mainly in the 1-15 day range
-Development of metrics appropriate for the West African region and strong interactions with NWP centers – especially ECMWF, Meteo-France, NCEP and the UK Met Office
-Regional NWP models are being run in West Africa including new high resolution forecast models (few km scale) and cloud-resolving models on West Africa domain (e.g. CASCADE project in UK, Meso-NH France/ECMWF)
Some examples of model evaluations taking place follow
(1) Tailoring and Evaluation of Forecast Products
Jean-Luc Redelsperger, THORPEX Sept 2008
Kamga et al: Evaluating the ECMWF 1-7 day forecastsLatitude of maximum zonally averaged precipitation [10W-10E]
For this parameter (ITCZ position): Worst errors after onset over land Forecast better for D + 3
2
4
6
8
10
12
14
Latit
ude [
degr
ees]
M O N FR I TU E S A T W E D S U N TH U M O N FR I TU E S A T W E D SU N TH U1
M A Y1 2 23 3
JU N14 25 6
JU L17 2 8 8
AU G19 30 10
S EP21
FEW S(black), D +1(red), D +3(navy), D +5(green), D +7(cyan)
may july septMonsoon Onset
Jean-Luc Redelsperger, THORPEX Sept 2008
Berry et alEvaluation of AEWs in different NWP models (objective tracking technique)
Example: 3-day forecasts of curvature vorticity (shaded) and location of analysed AEW-trough (lines).
-Large model-to-model differences are noted
-Some AEWs appear to be more predictable than others (see x,y)
(b) GFS(a) ECMWF
(c) UKMO (d) MF
x
y
x
y
x
y
x
y
Jean-Luc Redelsperger, THORPEX Sept 2008Analysis Forecast
Day 0
Day 2
Day 1
Day 3
Day 4
Day 5
Berry et al: Composite AEW structures in ECMWF analyses and forecasts – shading is rainfall, contours are curvature vorticity – comparisons with other models are in the paperAll models tend to have poor phase relationship between trough and rainfall – too coupled?
Jean-Luc Redelsperger, THORPEX Sept 2008
(2) Predictability Studies and Observing System Experiments
Focus on Humidity
(i) Humidity bias correction
a. Automatic correction in NWP system (ECMWF) in CY32r3
b. Taking into account the dependence of bias on the observed RH values
(ii) Correction of sounding humidity biases (AMMA database):
CDF approach and function of (P, RH)
Comparison to AMMA GPS stations
Dedicated campaign for day biases(1-13 Sept. 2008, Snow white reference)
(iii) Assimilation of MW observations over land (Florence Rabier talk on Monday)
Jean-Luc Redelsperger, THORPEX Sept 2008
RadiosondeRadiosonde (RS) RH Bias correction(RS) RH Bias correction
Comparison with GPS TCWVComparison with GPS TCWV
UNCORRECTED RS
CORRECTED RS
Agusti-Panareda et al
Jean-Luc Redelsperger, THORPEX Sept 2008
Correction of Correction of humidity biaseshumidity biases of radiosondes of radiosondes during theduring the AMMA SOPAMMA SOP--2006 2006
•• Differential Differential humidity biashumidity bias (left panel) between(left panel) between VaisalaVaisala RS80RS80--A & RS92A & RS92 sondessondesresulting from the CDF matching applied to AMMA2006 Niamey soundresulting from the CDF matching applied to AMMA2006 Niamey soundings as ings as confirmed by the GPS independent measurements. confirmed by the GPS independent measurements.
•• The The impact of this correctionimpact of this correction is major as illustrated by the time series of is major as illustrated by the time series of convective available potential energy convective available potential energy CAPECAPE (right panel) at Niamey (1(right panel) at Niamey (1--12 12 August 2006) from raw soundings (dashed line) & corrected one (sAugust 2006) from raw soundings (dashed line) & corrected one (straight line)traight line)
Nuret el al. 2008
-4-8
-12
StrongStrong dry dry biasbias (up to 15%) (up to 15%) HightHight impact on CAPEimpact on CAPE
Jean-Luc Redelsperger, THORPEX Sept 2008
AMMAAMMA--SCOUT H20 Campaign SCOUT H20 Campaign •• Issue:Issue: humidity bias correctionhumidity bias correction•• Past available Past available Sondes IntercomparisonSondes Intercomparison campaignscampaigns
(RS92, MODEM) with reference (RS92, MODEM) with reference sondessondes (SW or CFH) (SW or CFH) –– Maurice 2005, Maurice 2005, YoneyamaYoneyama 2007, TICOSONDE 2005, AWEX2007, TICOSONDE 2005, AWEX--G G –– not sufficientnot sufficient to document the bias during the dayto document the bias during the day
•• AMMAAMMA--SCOUT campaign NiameySCOUT campaign Niamey (1(1--13 Sept. 2008)13 Sept. 2008)–– Document daytime absolute humidity bias of RS92 and M2K2 over WDocument daytime absolute humidity bias of RS92 and M2K2 over West est
AfricaAfrica•• Results:Results:
–– 17 17 intercomparisonintercomparison flights with 3 flights with 3 sondessondes (RS92, MODEM(RS92, MODEM--M2K2, SW) M2K2, SW) –– Different solar elevations (8 and 12h solar time)Different solar elevations (8 and 12h solar time)–– different humidity conditions: dry/monsoon surges different humidity conditions: dry/monsoon surges –– GPSGPS observations and other SCOUT flights during the night (RS92 andobservations and other SCOUT flights during the night (RS92 and SW) SW)
•• Impacts:Impacts: correct AMMA correct AMMA sondessondes andand–– correctioncorrection tables to be used by tables to be used by NWPNWP centres just before the assimilation. centres just before the assimilation. –– calibration of satellitescalibration of satellites radiancesradiances–– Provide nonProvide non--biased humidity biased humidity ““anchor pointsanchor points”” for the for the VarVar--BCBC (key for (key for
assimilation systems)assimilation systems)
Participants: ASECNA, CNRM/MF, LAREG/IGN, ETHZ, SA Participants: ASECNA, CNRM/MF, LAREG/IGN, ETHZ, SA Funding: MF, CNES, APIFunding: MF, CNES, API--AMMAAMMA
IWV from GPS
RH(T) at 12Z
Example ofRS92, M2K2, SW
profiles
Impact of assimilating Impact of assimilating µµWave observations over landWave observations over land
From 01/08/2006 to 14/09/2006From 01/08/2006 to 14/09/2006
Moistening of the Atmosphere
Drying of the Atmosphere
TCWV time series from GPS (Ouagadougou) TCWV time series from GPS (Ouagadougou) compared tocompared to REFREF && EXPEXP
Karbou et al 2008
ReferenceReference ExperimentExperiment
REF
EXPGPS
Density of assimilated AMSUDensity of assimilated AMSU--B Ch5 during B Ch5 during August 2006August 2006
Jean-Luc Redelsperger, THORPEX Sept 2008
Current numerical studies Current numerical studies Contributing Groups listed according to Contributing Groups listed according to modelmodel
(a)(a) ECMWF (AgustiECMWF (Agusti--Panareda, Beljaars, Cardinali et al)Panareda, Beljaars, Cardinali et al)
* Data impact being explored by comparison with operational ana* Data impact being explored by comparison with operational analyses lyses and with and withought moisture bias correction and with and withought moisture bias correction –– emphasis on emphasis on soundingssoundings
*Special reanalysis for AMMA*Special reanalysis for AMMA
(b) ECMWF (R.(b) ECMWF (R. CornforthCornforth, B. Hoskins, T. Palmer), B. Hoskins, T. Palmer)
* Investigating the use of Moist Singular Vectors to improve * Investigating the use of Moist Singular Vectors to improve understanding ofunderstanding of AEWsAEWs and their predictability. Possible links to and their predictability. Possible links to improving initialization ofimproving initialization of EPSsEPSs..
(c) Meteo(c) Meteo--France (Rabier, Karbou, Nuret et al)France (Rabier, Karbou, Nuret et al)
* Testing impact of satellite measurements from AMSU and SSMI ov* Testing impact of satellite measurements from AMSU and SSMI over er landland
* Plans to investigate impact of SEVIRI CSR and soundings* Plans to investigate impact of SEVIRI CSR and soundings
(2) Predictability Studies and Observing System Experiments
Jean-Luc Redelsperger, THORPEX Sept 2008
(2) Predictability Studies and Observing System Experiments
(d) NCEP (Pan, Thiaw, Vintzileos)
* New CFS-Reanalysis has completed the summer of 2006 that includes the AMMA special observations.
* Data impacts being explored by comparison with operational analyses
(e) NCEP-GFS model (S. Majumdar, C. Thorncroft)
* Propose to look at impacts of all data streams in the West African and Tropical Atlantic regions (relies on funding)
(f) NRL (R Langland)
* Analyzing differences (e.g. RMS error of 500mb height globally) between several models (e.g. GFS, ECMWF, UKMO, Canada, NOGAPS etc) to see what radiosondes (including AMMA sondes) have important information.
(g) ARW (WRF) (R. Torn)
* Using ensemble-based sensitivity analysis to understand impact of initial condition errors on AEW forecasts and estimate the impact of observations including AMMA-SOP observations on forecasts over West Africa.
Jean-Luc Redelsperger, THORPEX Sept 2008
Data impacts Data impacts
Results on the issue of data impacts (ECMWF & Results on the issue of data impacts (ECMWF & MeteoMeteo--France) were included in Monday France) were included in Monday talk by Florence talk by Florence RabierRabier::
•• The humidity bias correction in theThe humidity bias correction in the radiosoundingsradiosoundings in the AMMA region is beneficial.in the AMMA region is beneficial.
•• The additional AMMAThe additional AMMA radiosoundingsradiosoundings has a significant positive impact on the analyses has a significant positive impact on the analyses and rainfall rates.and rainfall rates.
•• Using more satellite data over land has also had a large impactUsing more satellite data over land has also had a large impact on the global tropicson the global tropics
--------------------------------------------------------------------------------------------------------------------------------------
⇒⇒Need to coordinate NWP experiments to be able to make strong recNeed to coordinate NWP experiments to be able to make strong recommendations on ommendations on sounding networksounding network
⇒⇒Project to fund such studies and the functioning of the soundingProject to fund such studies and the functioning of the sounding/GPS network up to 2010 /GPS network up to 2010
*EC DG/DEV: not secured at present time*EC DG/DEV: not secured at present time
*Role/Help of THORPEX ?*Role/Help of THORPEX ?
(2) Predictability Studies and Observing System Experiments
Jean-Luc Redelsperger, THORPEX Sept 2008
(2) Predictability Studies and Observing System Experiments
Reanalyses Reanalyses for the AMMA SOPfor the AMMA SOP
Planned Planned reanalysesreanalyses that utilize biasthat utilize bias--correctedcorrected radiosoundingsradiosoundings, as well as all , as well as all available data (including that which was not available in realavailable data (including that which was not available in real--time)time)
--Special Special ReanalysesReanalyses are being created at ECMWF are being created at ECMWF
--3030--year reanalysis (1979year reanalysis (1979--2009) is planned by NCEP that include the AMMA 2009) is planned by NCEP that include the AMMA observations (with bias correction for soundings)observations (with bias correction for soundings)
--A proposal also exists to carry out a special AMMA SOP reanalysA proposal also exists to carry out a special AMMA SOP reanalysis at is at NASA.(MERRA) NASA.(MERRA) –– depends on proposal being fundeddepends on proposal being funded
--ReanalysesReanalyses on short periods at on short periods at MeteoMeteo--France France
Jean-Luc Redelsperger, THORPEX Sept 2008
Period: 1 May Period: 1 May –– 30 September 200630 September 2006
Resolution: T511 (~40 km), L91Resolution: T511 (~40 km), L91
IFS cycle with improved physics: CY32r3 (IFS cycle with improved physics: CY32r3 (BechtoldBechtold et al. 2008) et al. 2008)
AMMA AMMA radiosonderadiosonde humidity bias correction humidity bias correction
Extra data used: Extra data used: sondesonde profiles of wind, temperature and humidity extracted from profiles of wind, temperature and humidity extracted from the AMMA databasethe AMMA database
ECMWF’s AMMA reanalysis(Agustí-Panareda, Beljaars, Vasiljevic, Cardinali, Dragosavac, Andersson, et coll)
6063 high resolution profiles (radiosondes, dropsondes) from ground-stations, 3 research vessels, 2 research aircrafts
110 high resolution driftsondes from research Gondolas (NCAR & CNES).
101 dropsondes from GTS received at Météo-France (low resolution)
7317 wind profiles from pilots obtained via GTS at Météo-France.
GTS TEMP (low-resolution) data from Météo-France & ECMWF over West Africa
(2) Predictability Studies and Observing System Experiments
Jean-Luc Redelsperger, THORPEX Sept 2008
Curvature Curvature VorticityVorticity(1day forecast) (1day forecast)
sensitivity to analysissensitivity to analysis
700 hPa Meridional Wind
Mid-Troposphere θe
Ensemble-based sensitivity calculations using 96 ensemble forecasts from an ensemble Karman filter coupled to the WRF model at 36km resolution during Sep 2006 (R. Thorn)
Jean-Luc Redelsperger, THORPEX Sept 2008
Precipitation Sensitivity (1 day forecast)Precipitation Sensitivity (1 day forecast)
Mid-Troposphere θe
Lower-Troposphere θe
Jean-Luc Redelsperger, THORPEX Sept 2008
Electronic Special Issue but a hard copy version will be made for distribution in West Africa
(collaboration with AMS). Expected papers:
• Babatunde and Omotosho: Predicting onset dates of the rainy season over West Africa by numerical methods
• Berry et al: Intercomparision of African easterly wave representation in operational weather prediction models.
•Bock et al: Verification of radiosonde humidity data and NWP model analyses and forecasts during AMMA with GPSprecipitable water estimates
• Cornforth and Hoskins: Applying moist singular vectors to understanding and forecasting African easterly waves
• Diaz and Semazzi: A New Mechanism on the Role of West African Coastal Upwelling in the Genesis of Tropical Cyclones
• Faccani, C., F. Rabier, A. Agusti-Panareda, et al: The impact of the AMMA radiosonde data on the French globalassimialtion and forecast system
•Karbou et al: Impact of microwaveland emissivities on the assimilation of AMSU measurements over land
•Knippertz and Fink: Dynamics and predictability of dry-season precipitation episodes in tropical West Africa
• Lafore et al: Forecasting activities during the Summer 2006 SOP of AMMA: Proposition of a Synthetic Analysis specific to the West Africa
• Ross and Krishnamurti: Relative roles of dynamics and diabatics in the development of NAMMA AEW
• Sultan et al: Medium-lead prediction of intraseasonal oscillations in West Africa
• Tompkins et al: Monthly and Seasonal forecsating systems of ECMWF for West Africa
• Torn: Ensemble-based sensitivity analysis applied to African Easterly Waves
3. Special Issue in Weather & Forecasting
USE WRF TO PREDICT THE WITHDRAW OF MENINGITIS EPIDEMIC BASED on 40% RH THRESHOLD
Preliminary results from Semazzi, Mera, Laing
Average RH (%) for the day on 5/16/2006 in Niamey. 40% is the threshold number that defines the end of the meningitis (dry) season.
0
40
80
Observation(Niamey)
WRF NNRP1 FNL (GFS)
Rel
ativ
e H
umid
ity (%
)