SlideShare a Scribd company logo
1 of 11
Download to read offline
A non-interpolating semi-Lagrangian scheme for
the continuity equation of the ECMWF forecast
model.
Project 4: Formation in technical used in the dynamics of the numerical
weather models.
Tomás Morales Morín
Mariano Hortal Reymundo
Area of Modelization
Spanish Meteorological Agency (AEMET)
Outline
• Conclusions of previous works.
• A non-interpolating semi-Lagrangian scheme for the continuity
equation (NI-SLCE).
• Implementation of NI-SLCE in semi-Lagrangian semi-implicit
(SLSI) scheme of the ECMWF Forecast Model.
• New conclusions.
IFS
Spectral
Spacial
Correction
SL
Interpolation
Correction
HARMONIE
2-D and 3-D
interpolation
scheme
Non-
Interpolating
semi-Lagrangian
scheme
Conservation in
Continuity equation
Conservation of NOx,
Ozone, Humidity
equation without sink
and source terms
GM
SLSI scheme for
h y d r o s t a t i c
p r i m i t i v e
equations
LAM
SLSI scheme for
non-hydrostatic
p r i m i t i v e
equations
Why should we use a NI-SLCE scheme to calculate the value of the fields
at the departure point of the semi-Lagrangian trajectory?
Conclusions of previous works
SL scheme
NI-SL scheme
dX
dt
= RHS XA,+
= XD,0
+ RHSD,0
XA,+
=
⇢
X d
X
x
⇤,0
+ RHS⇤,0
X
t
+ (v
0
+ v⇤
)
X
x
= RHS
D⇤
X
Dt
+ v
0 X
x
= RHS
• •• •
dd
0
d⇤
v = v
0
+ v⇤
NI-SLCE
A non-interpolating SL scheme for the continuity equation
Temporal discretization
Non-interpolating semi-Lagrangian semi-implicit time integration scheme (only for the
continuity equation).
Spacial discretization
Spectral in the horizontal (spherical harmonics).
Pseudo-spectral (finite-element) vertical representation (cubic B-spline).
LnpA,+
sup = {Lnpsup d⇥Lnpsup}
⇤,0
+ {N.L. + L.}
⇤,0
+ {L.}
A,+
LnpA,+
sup + {L.}
A,+
= {Lnpsup d⇥Lnpsup}
⇤,0
+ {N.L. + L.}
⇤,0
A B C
21
NI-SLCE
Stepo.F90 / scan2h.F90 / scan2mdm.F90
gp_model.F90
3. Dynamics 4. ECMWF Radiation 5. SL Interpolation
cpg.F90
cpg_dyn.F90
lacdyn.F90
3. Computation
of the wind
c o m p o n e n t s
necessary for
SL trajectory
4. Computations
of the 3-D eq.
RHS terms
5. Computations
of the 2-D eq.
RHS terms
lavent.F90 lattex.F90 lattes.F90
call_sl.F90
3. SL trajectory
research weight
and interpolation
grid calculation
5. Interpolations
lapinea.F90
larmes.F90
.
.
.
.
lapineb.F90
larcinb.F90
OpenMP
laiddi.F90 laitli.F90
binislce.F90 trinislce.F90
Bi-dimensional
1 2 - p o i n t
interpolations
(in horizontal)
T r i l i n e a r
interpolations
for one variable
/module/ptrslb1.F90 /setup/suslb.F90
Implementation of NI-SLCE
Results
40
50
60
70
80
90
100
%
0 1 2 3 4 5 6 7 8 9 10
Forecast Day
es oper 12UTC | Mean method: fair
Date: 20091015 12UTC to 20091015 12UTC
NHem Extratropics (lat 20.0 to 90.0, lon -180.0 to 180.0)
Anomaly correlation
500hPa geopotential
NISLCE
MR
Results
Results
New conclusions
Conclusions
• The NI-SLCE in the horizontal scheme does not improve the
conservation of the mass in the continuity equation.
• It is better to continue using interpolation methods to calculate
the value of the field at the departure point of the semi-Lagrangian
trajectory.

More Related Content

What's hot

“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.
“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.
“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.lccausp
 
Algebra 2 unit 9.6
Algebra 2 unit 9.6Algebra 2 unit 9.6
Algebra 2 unit 9.6Mark Ryder
 
Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5Mark Ryder
 
From Darkness, Light: Computing Cosmological Reionization
From Darkness, Light: Computing Cosmological ReionizationFrom Darkness, Light: Computing Cosmological Reionization
From Darkness, Light: Computing Cosmological ReionizationCosmoAIMS Bassett
 
TuckerHEDPSummer2016Presentation
TuckerHEDPSummer2016PresentationTuckerHEDPSummer2016Presentation
TuckerHEDPSummer2016PresentationTucker Hartland
 
Algebra 2 unit 9.8
Algebra 2 unit 9.8Algebra 2 unit 9.8
Algebra 2 unit 9.8Mark Ryder
 
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...mravendi
 
Quantile regression ensemble for summer temperatures
Quantile regression ensemble for summer temperaturesQuantile regression ensemble for summer temperatures
Quantile regression ensemble for summer temperaturesManuel Herrera
 
Pre-Cal 40S Slides February 26, 2008
Pre-Cal 40S Slides February 26, 2008Pre-Cal 40S Slides February 26, 2008
Pre-Cal 40S Slides February 26, 2008Darren Kuropatwa
 
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...Arthur Weglein
 
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...Jimmy Shih-Chun Hung
 
Trilateration and Keplerian elements
Trilateration and Keplerian elementsTrilateration and Keplerian elements
Trilateration and Keplerian elementsuwigizepatrick
 
IGARSS2011_TU1.T03.2_Zhan.ppt
IGARSS2011_TU1.T03.2_Zhan.pptIGARSS2011_TU1.T03.2_Zhan.ppt
IGARSS2011_TU1.T03.2_Zhan.pptgrssieee
 
Fluid Dynamics
Fluid DynamicsFluid Dynamics
Fluid DynamicsOm Kumar
 
B field conducting sphere
B field conducting sphereB field conducting sphere
B field conducting sphereFFMdeMul
 
Determination of coefficient of consolidation
Determination of coefficient of consolidationDetermination of coefficient of consolidation
Determination of coefficient of consolidationanik1908
 
B field homogenous sphere
B field homogenous sphereB field homogenous sphere
B field homogenous sphereFFMdeMul
 

What's hot (20)

“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.
“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.
“Solving QCD: from BG/P to BG/Q”. Prof. Dr. Attilio Cucchieri – IFSC/USP.
 
Algebra 2 unit 9.6
Algebra 2 unit 9.6Algebra 2 unit 9.6
Algebra 2 unit 9.6
 
Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5Algebra 2 unit 9.4.9.5
Algebra 2 unit 9.4.9.5
 
From Darkness, Light: Computing Cosmological Reionization
From Darkness, Light: Computing Cosmological ReionizationFrom Darkness, Light: Computing Cosmological Reionization
From Darkness, Light: Computing Cosmological Reionization
 
Warrp sesimic_ aghazde
Warrp sesimic_ aghazdeWarrp sesimic_ aghazde
Warrp sesimic_ aghazde
 
TuckerHEDPSummer2016Presentation
TuckerHEDPSummer2016PresentationTuckerHEDPSummer2016Presentation
TuckerHEDPSummer2016Presentation
 
Algebra 2 unit 9.8
Algebra 2 unit 9.8Algebra 2 unit 9.8
Algebra 2 unit 9.8
 
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum ...
 
Quantile regression ensemble for summer temperatures
Quantile regression ensemble for summer temperaturesQuantile regression ensemble for summer temperatures
Quantile regression ensemble for summer temperatures
 
Pre-Cal 40S Slides February 26, 2008
Pre-Cal 40S Slides February 26, 2008Pre-Cal 40S Slides February 26, 2008
Pre-Cal 40S Slides February 26, 2008
 
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...
 
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...
J07.00011 : Superconducting Parametric Cavities as an “Optical” Quantum Compu...
 
Trilateration and Keplerian elements
Trilateration and Keplerian elementsTrilateration and Keplerian elements
Trilateration and Keplerian elements
 
IGARSS2011_TU1.T03.2_Zhan.ppt
IGARSS2011_TU1.T03.2_Zhan.pptIGARSS2011_TU1.T03.2_Zhan.ppt
IGARSS2011_TU1.T03.2_Zhan.ppt
 
Midterm Presentation
Midterm PresentationMidterm Presentation
Midterm Presentation
 
Fluid Dynamics
Fluid DynamicsFluid Dynamics
Fluid Dynamics
 
B field conducting sphere
B field conducting sphereB field conducting sphere
B field conducting sphere
 
Determination of coefficient of consolidation
Determination of coefficient of consolidationDetermination of coefficient of consolidation
Determination of coefficient of consolidation
 
B field homogenous sphere
B field homogenous sphereB field homogenous sphere
B field homogenous sphere
 
Soil and Water Engineering 10
Soil and Water Engineering 10Soil and Water Engineering 10
Soil and Water Engineering 10
 

Viewers also liked

Introducción a Personal en Formación
Introducción a Personal en FormaciónIntroducción a Personal en Formación
Introducción a Personal en FormaciónTomás Morales
 
El sistema NWP HARMONIE: Introducción a la Computación de Altas
El sistema NWP HARMONIE: Introducción a la Computación de AltasEl sistema NWP HARMONIE: Introducción a la Computación de Altas
El sistema NWP HARMONIE: Introducción a la Computación de AltasTomás Morales
 
Basic differential equations in fluid mechanics
Basic differential equations in fluid mechanicsBasic differential equations in fluid mechanics
Basic differential equations in fluid mechanicsTarun Gehlot
 
Fluid mechanics
Fluid mechanicsFluid mechanics
Fluid mechanicspawanjot
 

Viewers also liked (7)

Introducción a Personal en Formación
Introducción a Personal en FormaciónIntroducción a Personal en Formación
Introducción a Personal en Formación
 
Databeer
DatabeerDatabeer
Databeer
 
El sistema NWP HARMONIE: Introducción a la Computación de Altas
El sistema NWP HARMONIE: Introducción a la Computación de AltasEl sistema NWP HARMONIE: Introducción a la Computación de Altas
El sistema NWP HARMONIE: Introducción a la Computación de Altas
 
Fluid mechanics
Fluid mechanicsFluid mechanics
Fluid mechanics
 
Properties of fluid.ppt
Properties of fluid.pptProperties of fluid.ppt
Properties of fluid.ppt
 
Basic differential equations in fluid mechanics
Basic differential equations in fluid mechanicsBasic differential equations in fluid mechanics
Basic differential equations in fluid mechanics
 
Fluid mechanics
Fluid mechanicsFluid mechanics
Fluid mechanics
 

Similar to A non-interpolating semi-Lagrangian scheme for the continuity equation of the ECMWF forecast model.

Ill-posedness formulation of the emission source localization in the radio- d...
Ill-posedness formulation of the emission source localization in the radio- d...Ill-posedness formulation of the emission source localization in the radio- d...
Ill-posedness formulation of the emission source localization in the radio- d...Ahmed Ammar Rebai PhD
 
A Novel Technique in Software Engineering for Building Scalable Large Paralle...
A Novel Technique in Software Engineering for Building Scalable Large Paralle...A Novel Technique in Software Engineering for Building Scalable Large Paralle...
A Novel Technique in Software Engineering for Building Scalable Large Paralle...Eswar Publications
 
A fast atmospheric correction algorithm applied to landsat tm images
A fast atmospheric correction algorithm applied to landsat tm imagesA fast atmospheric correction algorithm applied to landsat tm images
A fast atmospheric correction algorithm applied to landsat tm imagesweslyj
 
FITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTION
FITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTIONFITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTION
FITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTIONcscpconf
 
Fitting the log skew normal to
Fitting the log skew normal toFitting the log skew normal to
Fitting the log skew normal tocsandit
 
Efficient HPR-based Rendering of Point Clouds
Efficient HPR-based Rendering of Point CloudsEfficient HPR-based Rendering of Point Clouds
Efficient HPR-based Rendering of Point CloudsRoger Hernando Buch
 
Atmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptxAtmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptxgrssieee
 
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...a3labdsp
 
PR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptx
PR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptxPR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptx
PR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptxgrssieee
 
On Selection of Periodic Kernels Parameters in Time Series Prediction
On Selection of Periodic Kernels Parameters in Time Series Prediction On Selection of Periodic Kernels Parameters in Time Series Prediction
On Selection of Periodic Kernels Parameters in Time Series Prediction cscpconf
 
ON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTION
ON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTIONON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTION
ON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTIONcscpconf
 
Presentacion limac-unc
Presentacion limac-uncPresentacion limac-unc
Presentacion limac-uncPucheta Julian
 

Similar to A non-interpolating semi-Lagrangian scheme for the continuity equation of the ECMWF forecast model. (20)

Ill-posedness formulation of the emission source localization in the radio- d...
Ill-posedness formulation of the emission source localization in the radio- d...Ill-posedness formulation of the emission source localization in the radio- d...
Ill-posedness formulation of the emission source localization in the radio- d...
 
A Novel Technique in Software Engineering for Building Scalable Large Paralle...
A Novel Technique in Software Engineering for Building Scalable Large Paralle...A Novel Technique in Software Engineering for Building Scalable Large Paralle...
A Novel Technique in Software Engineering for Building Scalable Large Paralle...
 
Dsp lab pdf
Dsp lab pdfDsp lab pdf
Dsp lab pdf
 
A fast atmospheric correction algorithm applied to landsat tm images
A fast atmospheric correction algorithm applied to landsat tm imagesA fast atmospheric correction algorithm applied to landsat tm images
A fast atmospheric correction algorithm applied to landsat tm images
 
Extrapolation
ExtrapolationExtrapolation
Extrapolation
 
Thesis
ThesisThesis
Thesis
 
FITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTION
FITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTIONFITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTION
FITTING THE LOG SKEW NORMAL TO THE SUM OF INDEPENDENT LOGNORMALS DISTRIBUTION
 
Fitting the log skew normal to
Fitting the log skew normal toFitting the log skew normal to
Fitting the log skew normal to
 
Nonnegative Matrix Factorization with Side Information for Time Series Recove...
Nonnegative Matrix Factorization with Side Information for Time Series Recove...Nonnegative Matrix Factorization with Side Information for Time Series Recove...
Nonnegative Matrix Factorization with Side Information for Time Series Recove...
 
ees-Long-10.ppt
ees-Long-10.pptees-Long-10.ppt
ees-Long-10.ppt
 
Efficient HPR-based Rendering of Point Clouds
Efficient HPR-based Rendering of Point CloudsEfficient HPR-based Rendering of Point Clouds
Efficient HPR-based Rendering of Point Clouds
 
Atmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptxAtmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptx
 
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
An Efficient DSP Based Implementation of a Fast Convolution Approach with non...
 
PR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptx
PR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptxPR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptx
PR3 MODIS_VIIRS_Geo_Error_Trend_with_Kalman_Filter.pptx
 
SDF Hysteretic System 1 - Analytical Vaiana Rosati Model
SDF Hysteretic System 1 - Analytical Vaiana Rosati ModelSDF Hysteretic System 1 - Analytical Vaiana Rosati Model
SDF Hysteretic System 1 - Analytical Vaiana Rosati Model
 
On Selection of Periodic Kernels Parameters in Time Series Prediction
On Selection of Periodic Kernels Parameters in Time Series Prediction On Selection of Periodic Kernels Parameters in Time Series Prediction
On Selection of Periodic Kernels Parameters in Time Series Prediction
 
ON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTION
ON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTIONON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTION
ON SELECTION OF PERIODIC KERNELS PARAMETERS IN TIME SERIES PREDICTION
 
lecture_09.pptx
lecture_09.pptxlecture_09.pptx
lecture_09.pptx
 
Presentacion limac-unc
Presentacion limac-uncPresentacion limac-unc
Presentacion limac-unc
 
Dsp file
Dsp fileDsp file
Dsp file
 

Recently uploaded

Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxEran Akiva Sinbar
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxFarihaAbdulRasheed
 
insect anatomy and insect body wall and their physiology
insect anatomy and insect body wall and their  physiologyinsect anatomy and insect body wall and their  physiology
insect anatomy and insect body wall and their physiologyDrAnita Sharma
 
Temporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of MasticationTemporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of Masticationvidulajaib
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555kikilily0909
 
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.PraveenaKalaiselvan1
 
Evidences of Evolution General Biology 2
Evidences of Evolution General Biology 2Evidences of Evolution General Biology 2
Evidences of Evolution General Biology 2John Carlo Rollon
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxNandakishor Bhaurao Deshmukh
 
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxMicrophone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxpriyankatabhane
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024AyushiRastogi48
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCR
Call Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCRCall Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCR
Call Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCRlizamodels9
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Nistarini College, Purulia (W.B) India
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |aasikanpl
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxpriyankatabhane
 
Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫qfactory1
 

Recently uploaded (20)

Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
 
insect anatomy and insect body wall and their physiology
insect anatomy and insect body wall and their  physiologyinsect anatomy and insect body wall and their  physiology
insect anatomy and insect body wall and their physiology
 
Temporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of MasticationTemporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of Mastication
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555
 
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
 
Evidences of Evolution General Biology 2
Evidences of Evolution General Biology 2Evidences of Evolution General Biology 2
Evidences of Evolution General Biology 2
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
 
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxMicrophone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCR
Call Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCRCall Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCR
Call Girls In Nihal Vihar Delhi ❤️8860477959 Looking Escorts In 24/7 Delhi NCR
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptx
 
Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫Manassas R - Parkside Middle School 🌎🏫
Manassas R - Parkside Middle School 🌎🏫
 

A non-interpolating semi-Lagrangian scheme for the continuity equation of the ECMWF forecast model.

  • 1. A non-interpolating semi-Lagrangian scheme for the continuity equation of the ECMWF forecast model. Project 4: Formation in technical used in the dynamics of the numerical weather models. Tomás Morales Morín Mariano Hortal Reymundo Area of Modelization Spanish Meteorological Agency (AEMET)
  • 2. Outline • Conclusions of previous works. • A non-interpolating semi-Lagrangian scheme for the continuity equation (NI-SLCE). • Implementation of NI-SLCE in semi-Lagrangian semi-implicit (SLSI) scheme of the ECMWF Forecast Model. • New conclusions.
  • 3. IFS Spectral Spacial Correction SL Interpolation Correction HARMONIE 2-D and 3-D interpolation scheme Non- Interpolating semi-Lagrangian scheme Conservation in Continuity equation Conservation of NOx, Ozone, Humidity equation without sink and source terms GM SLSI scheme for h y d r o s t a t i c p r i m i t i v e equations LAM SLSI scheme for non-hydrostatic p r i m i t i v e equations
  • 4. Why should we use a NI-SLCE scheme to calculate the value of the fields at the departure point of the semi-Lagrangian trajectory? Conclusions of previous works
  • 5. SL scheme NI-SL scheme dX dt = RHS XA,+ = XD,0 + RHSD,0 XA,+ = ⇢ X d X x ⇤,0 + RHS⇤,0 X t + (v 0 + v⇤ ) X x = RHS D⇤ X Dt + v 0 X x = RHS • •• • dd 0 d⇤ v = v 0 + v⇤ NI-SLCE
  • 6. A non-interpolating SL scheme for the continuity equation Temporal discretization Non-interpolating semi-Lagrangian semi-implicit time integration scheme (only for the continuity equation). Spacial discretization Spectral in the horizontal (spherical harmonics). Pseudo-spectral (finite-element) vertical representation (cubic B-spline). LnpA,+ sup = {Lnpsup d⇥Lnpsup} ⇤,0 + {N.L. + L.} ⇤,0 + {L.} A,+ LnpA,+ sup + {L.} A,+ = {Lnpsup d⇥Lnpsup} ⇤,0 + {N.L. + L.} ⇤,0 A B C 21 NI-SLCE
  • 7. Stepo.F90 / scan2h.F90 / scan2mdm.F90 gp_model.F90 3. Dynamics 4. ECMWF Radiation 5. SL Interpolation cpg.F90 cpg_dyn.F90 lacdyn.F90 3. Computation of the wind c o m p o n e n t s necessary for SL trajectory 4. Computations of the 3-D eq. RHS terms 5. Computations of the 2-D eq. RHS terms lavent.F90 lattex.F90 lattes.F90 call_sl.F90 3. SL trajectory research weight and interpolation grid calculation 5. Interpolations lapinea.F90 larmes.F90 . . . . lapineb.F90 larcinb.F90 OpenMP laiddi.F90 laitli.F90 binislce.F90 trinislce.F90 Bi-dimensional 1 2 - p o i n t interpolations (in horizontal) T r i l i n e a r interpolations for one variable /module/ptrslb1.F90 /setup/suslb.F90 Implementation of NI-SLCE
  • 8. Results 40 50 60 70 80 90 100 % 0 1 2 3 4 5 6 7 8 9 10 Forecast Day es oper 12UTC | Mean method: fair Date: 20091015 12UTC to 20091015 12UTC NHem Extratropics (lat 20.0 to 90.0, lon -180.0 to 180.0) Anomaly correlation 500hPa geopotential NISLCE MR
  • 11. New conclusions Conclusions • The NI-SLCE in the horizontal scheme does not improve the conservation of the mass in the continuity equation. • It is better to continue using interpolation methods to calculate the value of the field at the departure point of the semi-Lagrangian trajectory.