SlideShare a Scribd company logo
1 of 8
IMPLEMENTATION OF A REAL TIME
NUMERICAL WEATHER PREDICTION
(NWP) FORECASTING SYSTEM :
VALIDATION AND DATA
DISSEMINATION
BY ISIAH .T. KAZAPUA
PROJECT
OBJECTIVES:
•To implement a real
time numerical weather
prediction (NWP)
forecasting system.
•Validate the data from
the model using data
from other sources.
•Disseminate the
graphical data on a
website (intranet).
Introduction
A real time(NWP)
forecasting system is
one which uses
mathematical equations
and models of the
atmosphere and oceans
to simulate the
evolution of the
atmosphere in a given
period of time, usually
days.
Dynamics and Physics Parameterizations:
•In the dynamics options, motions of the atmosphere; Vertical and
Horizontal also the gravity wave drag option was turned off because the
domain that was to be modelled on does not include high range altitudes.
•Then the physics options were chosen as follows:
 Cumulus scheme - Kain-Fritsch convective parameterization
 Radiation schemes - Shortwave radiation : Goddard scheme
- Long-wave Radiation : RRTM
By the Stephan Boltzmann equation E= ɛ Ϭ T4
 Surface Layer scheme - Monin-Obukhov similarity theory
Domain Creation - The Domain was created over lower
latitudes or areas in Southern Africa namely ; Botswana,
RSA, Zimbabwe, Lesotho and Swaziland.
VALIDATION OF DATA
Temperature Data from
Department of
Meteorological Services
Temperature Data from
the WRF-EMS
REGION MAX TEMP MIN TEMP
Francis-
town
22 16
Maun 25 17
Tsabong 29 15
Gaborone 26 14
REGION MAX TEMP MIN TEMP
Francis-
town
24 15
Maun 28 18
Tsabong 28 16
Gaborone 27 13
DISSEMINATION OF DATA
CONCLUSION
The project objective of implementing a real time numerical
weather (NWP) forecasting system was met.
The models data was validated using observations obtained
from the Department of meteorological services.
The data was disseminated through a website (intranet).
The model worked relatively well given that the forecasted
parameters and observed data were not that much different,
thus to improve its capability, needs to be compared to other
operational models such as the Consortium for small scale
models (COSMO).
•THANK YOU.. COMMENTS ??
SUGGESTIONS??
•SEND ANYMORE COMMENTS TO THE
EMAIL;
•ikazapua@gov.bw

More Related Content

What's hot

Downscaling global climate model outputs to fine scales sanjaya ratnayake
Downscaling global climate model outputs to fine scales   sanjaya ratnayakeDownscaling global climate model outputs to fine scales   sanjaya ratnayake
Downscaling global climate model outputs to fine scales sanjaya ratnayakePixel Clear (Pvt) Ltd
 
Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...
Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...
Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...BREEZE Software
 
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONSTU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONSgrssieee
 
Hui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptHui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptgrssieee
 
igarss_2011_breunig_DLR_TDM_water_mask.ppt
igarss_2011_breunig_DLR_TDM_water_mask.pptigarss_2011_breunig_DLR_TDM_water_mask.ppt
igarss_2011_breunig_DLR_TDM_water_mask.pptgrssieee
 
3D Cloud Visualizations
3D Cloud Visualizations3D Cloud Visualizations
3D Cloud VisualizationsJohn Pham
 
IGARSS 2011 - FR3.T02 Clement ALBINET.ppt
IGARSS 2011 - FR3.T02 Clement ALBINET.pptIGARSS 2011 - FR3.T02 Clement ALBINET.ppt
IGARSS 2011 - FR3.T02 Clement ALBINET.pptgrssieee
 
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...Deltares
 
20160614 CAMS GA Acquisition by Suttie
20160614 CAMS GA Acquisition by Suttie20160614 CAMS GA Acquisition by Suttie
20160614 CAMS GA Acquisition by SuttieCopernicus ECMWF
 
Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup
Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup
Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup UAS Colorado
 
FR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOS
FR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOSFR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOS
FR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOSgrssieee
 
CAMS General Assembly EUMETSAT
CAMS General Assembly EUMETSATCAMS General Assembly EUMETSAT
CAMS General Assembly EUMETSATCopernicus ECMWF
 
2005-10-31 Satellite Aerosol Climatology
2005-10-31 Satellite Aerosol Climatology2005-10-31 Satellite Aerosol Climatology
2005-10-31 Satellite Aerosol ClimatologyRudolf Husar
 

What's hot (19)

Short-term solar forecasting based on sky images
Short-term solar forecasting based on sky imagesShort-term solar forecasting based on sky images
Short-term solar forecasting based on sky images
 
CUPC2015Poster
CUPC2015PosterCUPC2015Poster
CUPC2015Poster
 
Downscaling global climate model outputs to fine scales sanjaya ratnayake
Downscaling global climate model outputs to fine scales   sanjaya ratnayakeDownscaling global climate model outputs to fine scales   sanjaya ratnayake
Downscaling global climate model outputs to fine scales sanjaya ratnayake
 
Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...
Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...
Potential Benefits and Implementation of MM5 and RUC2 Data with the CALPUFF A...
 
CLIM: Transition Workshop - Optimization Methods in Remote Sensing - Jessica...
CLIM: Transition Workshop - Optimization Methods in Remote Sensing  - Jessica...CLIM: Transition Workshop - Optimization Methods in Remote Sensing  - Jessica...
CLIM: Transition Workshop - Optimization Methods in Remote Sensing - Jessica...
 
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONSTU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
TU2.L10 - NEXT-GENERATION GLOBAL PRECIPITATION PRODUCTS AND THEIR APPLICATIONS
 
Hui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.pptHui-Lu-improving-flux.ppt
Hui-Lu-improving-flux.ppt
 
igarss_2011_breunig_DLR_TDM_water_mask.ppt
igarss_2011_breunig_DLR_TDM_water_mask.pptigarss_2011_breunig_DLR_TDM_water_mask.ppt
igarss_2011_breunig_DLR_TDM_water_mask.ppt
 
GPS in Geodesy
GPS in GeodesyGPS in Geodesy
GPS in Geodesy
 
Copernicus Status
Copernicus Status Copernicus Status
Copernicus Status
 
3D Cloud Visualizations
3D Cloud Visualizations3D Cloud Visualizations
3D Cloud Visualizations
 
IGARSS 2011 - FR3.T02 Clement ALBINET.ppt
IGARSS 2011 - FR3.T02 Clement ALBINET.pptIGARSS 2011 - FR3.T02 Clement ALBINET.ppt
IGARSS 2011 - FR3.T02 Clement ALBINET.ppt
 
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...
DSD-INT 2016 Data assimilation to improve volcanic ash forecasts using LOTOS-...
 
20160614 CAMS GA Acquisition by Suttie
20160614 CAMS GA Acquisition by Suttie20160614 CAMS GA Acquisition by Suttie
20160614 CAMS GA Acquisition by Suttie
 
EC-Earth Climate Modelling Activities - Ray McGrath, Met Eireann
EC-Earth Climate Modelling Activities - Ray McGrath, Met EireannEC-Earth Climate Modelling Activities - Ray McGrath, Met Eireann
EC-Earth Climate Modelling Activities - Ray McGrath, Met Eireann
 
Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup
Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup
Use of UAV Assessment in Navajo Nation Abandoned Uranium Mine Cleanup
 
FR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOS
FR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOSFR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOS
FR1.L10.2: CALIBRATION OF LOCALIZATION BIASES FOR SMOS
 
CAMS General Assembly EUMETSAT
CAMS General Assembly EUMETSATCAMS General Assembly EUMETSAT
CAMS General Assembly EUMETSAT
 
2005-10-31 Satellite Aerosol Climatology
2005-10-31 Satellite Aerosol Climatology2005-10-31 Satellite Aerosol Climatology
2005-10-31 Satellite Aerosol Climatology
 

Viewers also liked

Дистанційна освіта
Дистанційна освітаДистанційна освіта
Дистанційна освітаUriy Gerasimuk
 
numeros de estampas brasil
numeros de estampas brasil numeros de estampas brasil
numeros de estampas brasil Eber Galo
 
Tekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastata
Tekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastataTekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastata
Tekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastataPoutapilvi Web Design
 
τηλεοραση ηλιανα ελενη αλεξανδρα
τηλεοραση    ηλιανα  ελενη  αλεξανδρατηλεοραση    ηλιανα  ελενη  αλεξανδρα
τηλεοραση ηλιανα ελενη αλεξανδραrenablatz
 
яресько н 2015 09 03 final nrc_tax reform_final_format 16_9
яресько н 2015 09 03 final nrc_tax reform_final_format 16_9яресько н 2015 09 03 final nrc_tax reform_final_format 16_9
яресько н 2015 09 03 final nrc_tax reform_final_format 16_9indrih
 
Plan_QualityManagement
Plan_QualityManagementPlan_QualityManagement
Plan_QualityManagementFahad Saleem
 
Sosialisasi Kurikulum kelas II semester 1 2016/2017
Sosialisasi Kurikulum kelas II semester 1 2016/2017Sosialisasi Kurikulum kelas II semester 1 2016/2017
Sosialisasi Kurikulum kelas II semester 1 2016/2017florryfiorella
 
Cst sauter verdict
Cst   sauter verdictCst   sauter verdict
Cst sauter verdictkralovec
 

Viewers also liked (15)

Дистанційна освіта
Дистанційна освітаДистанційна освіта
Дистанційна освіта
 
numeros de estampas brasil
numeros de estampas brasil numeros de estampas brasil
numeros de estampas brasil
 
ㅇㄹㄴㄹ
ㅇㄹㄴㄹㅇㄹㄴㄹ
ㅇㄹㄴㄹ
 
BEST Profile cv.
BEST Profile cv.BEST Profile cv.
BEST Profile cv.
 
Tekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastata
Tekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastataTekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastata
Tekeekö verkkopalvelu työnsä - seitsemän kysymystä, joihin sivusi tulisi vastata
 
Cartell intercanvis
Cartell intercanvisCartell intercanvis
Cartell intercanvis
 
141060753008 3715302
141060753008 3715302141060753008 3715302
141060753008 3715302
 
τηλεοραση ηλιανα ελενη αλεξανδρα
τηλεοραση    ηλιανα  ελενη  αλεξανδρατηλεοραση    ηλιανα  ελενη  αλεξανδρα
τηλεοραση ηλιανα ελενη αλεξανδρα
 
яресько н 2015 09 03 final nrc_tax reform_final_format 16_9
яресько н 2015 09 03 final nrc_tax reform_final_format 16_9яресько н 2015 09 03 final nrc_tax reform_final_format 16_9
яресько н 2015 09 03 final nrc_tax reform_final_format 16_9
 
тиждень дошкілля
тиждень дошкіллятиждень дошкілля
тиждень дошкілля
 
Slide 2
Slide 2Slide 2
Slide 2
 
Plan_QualityManagement
Plan_QualityManagementPlan_QualityManagement
Plan_QualityManagement
 
Verilog tutorial
Verilog tutorialVerilog tutorial
Verilog tutorial
 
Sosialisasi Kurikulum kelas II semester 1 2016/2017
Sosialisasi Kurikulum kelas II semester 1 2016/2017Sosialisasi Kurikulum kelas II semester 1 2016/2017
Sosialisasi Kurikulum kelas II semester 1 2016/2017
 
Cst sauter verdict
Cst   sauter verdictCst   sauter verdict
Cst sauter verdict
 

Similar to Presentation Kazapua

Short term power forecasting Awea 2014
Short term power forecasting Awea 2014Short term power forecasting Awea 2014
Short term power forecasting Awea 2014Jean-Claude Meteodyn
 
Future guidelines the meteorological view - Isabel Martínez (AEMet)
Future guidelines the meteorological view - Isabel Martínez (AEMet)Future guidelines the meteorological view - Isabel Martínez (AEMet)
Future guidelines the meteorological view - Isabel Martínez (AEMet)IrSOLaV Pomares
 
CFD down-scaling and online measurements for short-term wind power forecasting
CFD down-scaling and online measurements for short-term wind power forecastingCFD down-scaling and online measurements for short-term wind power forecasting
CFD down-scaling and online measurements for short-term wind power forecastingJean-Claude Meteodyn
 
"How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar...
"How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar..."How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar...
"How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar...Copernicus ECMWF
 
Future guidelines on solar forecasting the research view - David Pozo (Univer...
Future guidelines on solar forecasting the research view - David Pozo (Univer...Future guidelines on solar forecasting the research view - David Pozo (Univer...
Future guidelines on solar forecasting the research view - David Pozo (Univer...IrSOLaV Pomares
 
The Role of Semantics in Harmonizing YOPP Observation and Model Data
The Role of Semantics in Harmonizing YOPP Observation and Model DataThe Role of Semantics in Harmonizing YOPP Observation and Model Data
The Role of Semantics in Harmonizing YOPP Observation and Model DataSiri Jodha Singh Khalsa
 
EGU21-11075_presentation.pptx
EGU21-11075_presentation.pptxEGU21-11075_presentation.pptx
EGU21-11075_presentation.pptxssusercd49c0
 
Ott, Lesley: Low latency flux and concentration datasets in support of greenh...
Ott, Lesley: Low latency flux and concentration datasets in support of greenh...Ott, Lesley: Low latency flux and concentration datasets in support of greenh...
Ott, Lesley: Low latency flux and concentration datasets in support of greenh...Integrated Carbon Observation System (ICOS)
 
meteodynWT meso coupling downscaling regional planing
meteodynWT meso coupling downscaling regional planingmeteodynWT meso coupling downscaling regional planing
meteodynWT meso coupling downscaling regional planingJean-Claude Meteodyn
 
Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014
Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014
Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014Gwendalyn Bender
 
Solar irradiance data sources & software
Solar irradiance data sources & softwareSolar irradiance data sources & software
Solar irradiance data sources & softwareakhtar ali
 
5 - K Prasad - Weather forecasting in modern age-Sep-16
5 - K Prasad - Weather forecasting in  modern age-Sep-165 - K Prasad - Weather forecasting in  modern age-Sep-16
5 - K Prasad - Weather forecasting in modern age-Sep-16indiawrm
 
Technical report site assessment of solar resource for a csp plant. correctio...
Technical report site assessment of solar resource for a csp plant. correctio...Technical report site assessment of solar resource for a csp plant. correctio...
Technical report site assessment of solar resource for a csp plant. correctio...IrSOLaV Pomares
 
Expanding existing solar irradiance monitoring network using entropy
Expanding existing solar irradiance monitoring network using entropyExpanding existing solar irradiance monitoring network using entropy
Expanding existing solar irradiance monitoring network using entropyI3E Technologies
 
Predicting the Wind - wind farm prospecting with GIS
Predicting the Wind - wind farm prospecting with GISPredicting the Wind - wind farm prospecting with GIS
Predicting the Wind - wind farm prospecting with GISKenex Ltd
 
Predicting the Wind: Wind farm prospecting using GIS
Predicting the Wind: Wind farm prospecting using GISPredicting the Wind: Wind farm prospecting using GIS
Predicting the Wind: Wind farm prospecting using GISKenex Ltd
 

Similar to Presentation Kazapua (20)

Short term power forecasting Awea 2014
Short term power forecasting Awea 2014Short term power forecasting Awea 2014
Short term power forecasting Awea 2014
 
Future guidelines the meteorological view - Isabel Martínez (AEMet)
Future guidelines the meteorological view - Isabel Martínez (AEMet)Future guidelines the meteorological view - Isabel Martínez (AEMet)
Future guidelines the meteorological view - Isabel Martínez (AEMet)
 
CFD down-scaling and online measurements for short-term wind power forecasting
CFD down-scaling and online measurements for short-term wind power forecastingCFD down-scaling and online measurements for short-term wind power forecasting
CFD down-scaling and online measurements for short-term wind power forecasting
 
"How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar...
"How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar..."How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar...
"How Solar Technologies can benefit from the Copernicus Project" by Kevin Sar...
 
Future guidelines on solar forecasting the research view - David Pozo (Univer...
Future guidelines on solar forecasting the research view - David Pozo (Univer...Future guidelines on solar forecasting the research view - David Pozo (Univer...
Future guidelines on solar forecasting the research view - David Pozo (Univer...
 
Program on Mathematical and Statistical Methods for Climate and the Earth Sys...
Program on Mathematical and Statistical Methods for Climate and the Earth Sys...Program on Mathematical and Statistical Methods for Climate and the Earth Sys...
Program on Mathematical and Statistical Methods for Climate and the Earth Sys...
 
The Role of Semantics in Harmonizing YOPP Observation and Model Data
The Role of Semantics in Harmonizing YOPP Observation and Model DataThe Role of Semantics in Harmonizing YOPP Observation and Model Data
The Role of Semantics in Harmonizing YOPP Observation and Model Data
 
EGU21-11075_presentation.pptx
EGU21-11075_presentation.pptxEGU21-11075_presentation.pptx
EGU21-11075_presentation.pptx
 
Ott, Lesley: Low latency flux and concentration datasets in support of greenh...
Ott, Lesley: Low latency flux and concentration datasets in support of greenh...Ott, Lesley: Low latency flux and concentration datasets in support of greenh...
Ott, Lesley: Low latency flux and concentration datasets in support of greenh...
 
meteodynWT meso coupling downscaling regional planing
meteodynWT meso coupling downscaling regional planingmeteodynWT meso coupling downscaling regional planing
meteodynWT meso coupling downscaling regional planing
 
Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014
Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014
Reanalysis Datasets for Solar Resource Assessment Presented at ASES 2014
 
Solar irradiance data sources & software
Solar irradiance data sources & softwareSolar irradiance data sources & software
Solar irradiance data sources & software
 
5 - K Prasad - Weather forecasting in modern age-Sep-16
5 - K Prasad - Weather forecasting in  modern age-Sep-165 - K Prasad - Weather forecasting in  modern age-Sep-16
5 - K Prasad - Weather forecasting in modern age-Sep-16
 
Technical report site assessment of solar resource for a csp plant. correctio...
Technical report site assessment of solar resource for a csp plant. correctio...Technical report site assessment of solar resource for a csp plant. correctio...
Technical report site assessment of solar resource for a csp plant. correctio...
 
The UAE solar Atlas
The UAE solar AtlasThe UAE solar Atlas
The UAE solar Atlas
 
CliffStat.ppt
CliffStat.pptCliffStat.ppt
CliffStat.ppt
 
Downscaling and its limitation on climate change impact assessments
Downscaling and its limitation on climate change impact assessmentsDownscaling and its limitation on climate change impact assessments
Downscaling and its limitation on climate change impact assessments
 
Expanding existing solar irradiance monitoring network using entropy
Expanding existing solar irradiance monitoring network using entropyExpanding existing solar irradiance monitoring network using entropy
Expanding existing solar irradiance monitoring network using entropy
 
Predicting the Wind - wind farm prospecting with GIS
Predicting the Wind - wind farm prospecting with GISPredicting the Wind - wind farm prospecting with GIS
Predicting the Wind - wind farm prospecting with GIS
 
Predicting the Wind: Wind farm prospecting using GIS
Predicting the Wind: Wind farm prospecting using GISPredicting the Wind: Wind farm prospecting using GIS
Predicting the Wind: Wind farm prospecting using GIS
 

Presentation Kazapua

  • 1. IMPLEMENTATION OF A REAL TIME NUMERICAL WEATHER PREDICTION (NWP) FORECASTING SYSTEM : VALIDATION AND DATA DISSEMINATION BY ISIAH .T. KAZAPUA
  • 2. PROJECT OBJECTIVES: •To implement a real time numerical weather prediction (NWP) forecasting system. •Validate the data from the model using data from other sources. •Disseminate the graphical data on a website (intranet). Introduction A real time(NWP) forecasting system is one which uses mathematical equations and models of the atmosphere and oceans to simulate the evolution of the atmosphere in a given period of time, usually days.
  • 3. Dynamics and Physics Parameterizations: •In the dynamics options, motions of the atmosphere; Vertical and Horizontal also the gravity wave drag option was turned off because the domain that was to be modelled on does not include high range altitudes. •Then the physics options were chosen as follows:  Cumulus scheme - Kain-Fritsch convective parameterization  Radiation schemes - Shortwave radiation : Goddard scheme - Long-wave Radiation : RRTM By the Stephan Boltzmann equation E= ɛ Ϭ T4  Surface Layer scheme - Monin-Obukhov similarity theory
  • 4. Domain Creation - The Domain was created over lower latitudes or areas in Southern Africa namely ; Botswana, RSA, Zimbabwe, Lesotho and Swaziland.
  • 5. VALIDATION OF DATA Temperature Data from Department of Meteorological Services Temperature Data from the WRF-EMS REGION MAX TEMP MIN TEMP Francis- town 22 16 Maun 25 17 Tsabong 29 15 Gaborone 26 14 REGION MAX TEMP MIN TEMP Francis- town 24 15 Maun 28 18 Tsabong 28 16 Gaborone 27 13
  • 7. CONCLUSION The project objective of implementing a real time numerical weather (NWP) forecasting system was met. The models data was validated using observations obtained from the Department of meteorological services. The data was disseminated through a website (intranet). The model worked relatively well given that the forecasted parameters and observed data were not that much different, thus to improve its capability, needs to be compared to other operational models such as the Consortium for small scale models (COSMO).
  • 8. •THANK YOU.. COMMENTS ?? SUGGESTIONS?? •SEND ANYMORE COMMENTS TO THE EMAIL; •ikazapua@gov.bw

Editor's Notes

  1. 5