GOES Product Applications

GOES Product ApplicationsGOES Product Applications

Jaime DanielsJaime DanielsNESDIS/ORA/Forecast Products Development TeamNESDIS/ORA/Forecast Products Development Team

Camp Springs, MarylandCamp Springs, Maryland

Gary GrayGary GrayRaytheon Information Technology and Scientific Raytheon Information Technology and Scientific

ServicesServices Lanham, MarylandLanham, Maryland

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TopicsTopics

Issues important for the effective utilization of Issues important for the effective utilization of satellite products satellite products

Conclusions from the 1999 NWS Field Conclusions from the 1999 NWS Field Assessment of GOES sounder productsAssessment of GOES sounder products

Operational GOES Products at NESDISOperational GOES Products at NESDIS

Experimental Products Under DevelopmentExperimental Products Under Development

Challenges: Current & FutureChallenges: Current & Future

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Issues Important for the Effective Issues Important for the Effective Utilization of Satellite ProductsUtilization of Satellite Products

• TimelinessTimeliness• AccuracyAccuracy• CoverageCoverage

– Horizontal, vertical, temporalHorizontal, vertical, temporal

• Information contentInformation content• Format and/or PresentationFormat and/or Presentation

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Conclusions from 1999 NWS Field Conclusions from 1999 NWS Field Assessment of GOES Sounder ProductsAssessment of GOES Sounder Products

• Purpose:Purpose: Assess the operational value of GOES Assess the operational value of GOES sounder sounder products to the NWS products to the NWS Forecast and Warning Forecast and Warning ProgramProgram

• Conducted:Conducted: July 19 – August 30, 1999 July 19 – August 30, 1999

• Heightened the forecasters’ situational awareness to potential watch/warnings scenarios

• Led to the issuance of improved forecast products in over 79% of all active weather situations

• GOES sounder products especially useful for:– Locating maximum instability & atmospheric moisture axes prior to convective

development– Observing temporal changes in stability & moisture– Judging the validity of NWP forecasts

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GOES ProductGOES Product InstInst ResRes CoverageCoverage FreqFreq FormatFormat DeliveryDelivery Users/UseUsers/Use

Temp soundingTemp sounding

Moisture soundingMoisture sounding

Clear-sky radiancesClear-sky radiances

Stability IndicesStability Indices

Skin tempSkin temp

SS 50km50km

CONUSCONUS

Adj. OceanAdj. Ocean HourlyHourly

BUFRBUFR

DPIDPI

AWIPSAWIPS

FTPFTP

NCEP – NWPNCEP – NWP

NWS/ WFOs – NWS/ WFOs – ForecastingForecasting

NESDIS/SAB – Sat NESDIS/SAB – Sat precip estimationprecip estimation

Cloud-top pressureCloud-top pressure

Cloud-top tempCloud-top temp

Effective cloud amtEffective cloud amt

SS 10km10km

CONUSCONUS

Adj. OceanAdj. Ocean HourlyHourly

BUFRBUFR

DPIDPI

AWIPSAWIPS

FTPFTP



NESDIS/SAB – Sat NESDIS/SAB – Sat precip estimationprecip estimation

ASOS-SCPASOS-SCP S/IS/I 50km50km

ASOS sites ASOS sites over over CONUS, CONUS, Puerto Puerto Rico & Rico & HawaiiHawaii

HourlyHourly TextText GTSGTS

NWS – State Wx NWS – State Wx roundupsroundups

Cloud-drift windsCloud-drift winds

Water Vapor motion Water Vapor motion windswinds

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IR 60kmIR 60km

WV 60kmWV 60km

VZ 30kmVZ 30km NHEMNHEM

SHEMSHEM

8x/day8x/day BUFRBUFR AWIPSAWIPS

GTSGTS



NCEP –TPCNCEP –TPCSS WV 70kmWV 70km

Operational GOES Products at NESDISOperational GOES Products at NESDIS

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GOES Products Distributed Over AWIPSGOES Products Distributed Over AWIPSSignificant milestone for NOAA!!Significant milestone for NOAA!!

• All NOAA/NWS offices now or will soon have digital access to several GOES products and All NOAA/NWS offices now or will soon have digital access to several GOES products and sounder imagerysounder imagery

• NWS field forecasters can use these data in their daily forecast preparationsNWS field forecasters can use these data in their daily forecast preparations

• AWIPS workstations allow forecasters to easily integrate GOES wind products with other AWIPS workstations allow forecasters to easily integrate GOES wind products with other data sources (model output, ACARS, rawinsondes, etc)data sources (model output, ACARS, rawinsondes, etc)

AWIPS Build/Deploy DateAWIPS Build/Deploy Date ProductProduct

5.2.25.2.2 October 2002October 2002 Soundings (BUFR)Soundings (BUFR)

OB1OB1 April 2003April 2003 GOES-12GOES-12data/products data/products

OB2OB2 July 2003July 2003 Satwinds (BUFR)Satwinds (BUFR)

OB3OB3 Feb 2004Feb 2004 Sounder imagerySounder imagery

OB5OB5 Feb 2005Feb 2005 Sounder DPI Cloud Sounder DPI Cloud amountamount

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http://www.ssd.noaa.gov/PS/PCPN/pcpn-na.html http://www.ssd.noaa.gov/PS/PCPN/pcpn-na.html

TPWTPW

Skin TemperatureSkin Temperature

Lifted IndexLifted Index

Operational GOES Sounder Operational GOES Sounder DPI Products prepared for DPI Products prepared for AWIPSAWIPS

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Experimental ProductsExperimental Products

• Full resolution GOES sounder retrievalsFull resolution GOES sounder retrievals

• Cloud-drift & Water Vapor Motion WindsCloud-drift & Water Vapor Motion Winds– GOES & MODISGOES & MODIS

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Full Resolution GOES Sounder Retrieval SystemFull Resolution GOES Sounder Retrieval System

• Funded GOES Product Systems Development and Funded GOES Product Systems Development and Implementation (PSDI) task (ORA/CIMSS/OSDPD)Implementation (PSDI) task (ORA/CIMSS/OSDPD)– Operational implementation (late 2004 or early 2005)Operational implementation (late 2004 or early 2005)

• Pixel level retrievalsPixel level retrievals

• Integration of temp/moisture retrieval, cloud retrieval Integration of temp/moisture retrieval, cloud retrieval (includes ASOS SCP), and DPI product processing (includes ASOS SCP), and DPI product processing systemssystems– More consistency amongst products (ie., cloud determination)More consistency amongst products (ie., cloud determination)

• Improved resolution (horiz, vertical, temporal) of first Improved resolution (horiz, vertical, temporal) of first guess (model) dataguess (model) data

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GOES Sounder Retrieval ProductsGOES Sounder Retrieval Products Experimental SFOV ProductsExperimental SFOV Products

• Experimental production and Experimental production and validationvalidation at FPDT & CIMSS at FPDT & CIMSS (point & image)(point & image)

• Increased horizontal coverage offers exciting possibilities for enhanced use of product in mesoscale forecasting

• Improved depiction of gradients in retrieved products (PW, LI, etc)

• Focus attention to localized areas of interest (instability)

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Single FOV soundings (10km resolution) Single FOV soundings (10km resolution) offer significantly improved coverage.offer significantly improved coverage.

Derived SFOV quantities, such as Derived SFOV quantities, such as atmospheric stability, can be plotted over atmospheric stability, can be plotted over imagery or can be placed in image format imagery or can be placed in image format and used by NWS for severe storm and used by NWS for severe storm forecastingforecasting

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5x5 FOV5x5 FOV 3x3 FOV3x3 FOV

1x1 FOV1x1 FOV Derived Product Image of Derived Product Image of CAPE from single FOV CAPE from single FOV retrievalsretrievals

GOES SOUNDER CONVECTIVE AVAILABLEGOES SOUNDER CONVECTIVE AVAILABLEPOTENTIAL ENERGY (CAPE) INDEXPOTENTIAL ENERGY (CAPE) INDEX

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GOES-12 Total Precipitable Water DPIGOES-12 Total Precipitable Water DPI

Operational product (5x5)Operational product (5x5) Experimental product (1x1)Experimental product (1x1)

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Clear/Cloudy DesignationClear/Cloudy Designation

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VALUE ADDEDVALUE ADDED THERMODYNAMIC DIAGRAMS SHOWING THERMODYNAMIC DIAGRAMS SHOWING GOES VERTICAL TEMPERATURE AND MOISTURE PROFILES GOES VERTICAL TEMPERATURE AND MOISTURE PROFILES DERIVED FROM DERIVED FROM GOES SOUNDERGOES SOUNDER

Generated at Generated at hundredshundreds of sites of sites across US across US every every hourhour

Used extensively by Used extensively by NWS field NWS field forecasters for forecasters for severe weathersevere weather forecastingforecasting

Product can be Product can be looped over a 24 looped over a 24 hour period to hour period to show show trendstrends of of atmospheric atmospheric stabilitystability

http://orbit-net.nesdis.noaa.gov/goes/soundings/skewt/html/skewloop.html

UNSTABLEUNSTABLE

STABLESTABLE

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””The IHOP Experience”The IHOP Experience”

GOES Sounder Retrieval ProductsGOES Sounder Retrieval Products Experimental SFOV ProductsExperimental SFOV Products

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GOES Sounder SFOV Retrieval Products for theGOES Sounder SFOV Retrieval Products for the International HInternational H220 Project (IHOP) 20020 Project (IHOP) 2002

• Product latencyProduct latency– Key factor for increasing the

utility of the sounder products

• IHOP offered us an opportunity IHOP offered us an opportunity to demonstrate these products to demonstrate these products could be produced with reduced could be produced with reduced latencylatency– SFOV product processing

requires significantly more processing

– stream-lined software– software ported to new H/W

• FPDT successfully delivered GOES-8 FPDT successfully delivered GOES-8 & GOES-11 SFOV PW and cloud & GOES-11 SFOV PW and cloud products to FSL for use in the Local products to FSL for use in the Local Analysis Prediction System (LAPS)Analysis Prediction System (LAPS)

( HH:56)( HH:56)

( HH+1:02)( HH+1:02)

IHOP SFOV Products available to FSL at HH:24

38-min latency from start time of sounder scan to time product is available

May 13 – June 25, 2002May 13 – June 25, 2002

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GOES Sounder TPW SFOV Product GOES Sounder TPW SFOV Product AccuracyAccuracy

-1012345

(mm)

1 2 3

RMSE MAE Bias

GOES-12 PW vs Raob PW4/1/2003- 7/31/2003

5x5 (OPS) 3x3 (Wisc) 1x1 (FPDT)

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-1-0.5

00.5

11.5

2

(mm)

1 2 3

RMSE MAE Bias

GOES-12 PW vs Raob PW (SFC-900mb)4/1/2003- 7/31/2003


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00.5

11.5

22.5

3

(mm)

1 2 3

RMSE MAE Bias

GOES-12 PW vs Raob PW (900-700mb)4/1/2003- 7/31/2003


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-0.5

0

0.5

1

1.5

2

(mm)

1 2 3

RMSE MAE Bias

GOES-12 PW vs Raob PW (700-300mb)4/1/2003- 7/31/2003


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Experimental ProductsExperimental Products

• Cloud-drift & water vapor motion windsCloud-drift & water vapor motion winds – Hourly productionHourly production over CONUS and PACUS over CONUS and PACUS

sectors using highest temporal frequency sectors using highest temporal frequency imagery available (15-min or 7.5-min)imagery available (15-min or 7.5-min)

• MODIS cloud-drift and water vapor motion MODIS cloud-drift and water vapor motion windswinds

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Rapid Scan WindsRapid Scan Winds

Lower TroposphereLower Troposphere

25 Feb 200125 Feb 2001

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GOES-10 Rapid-Scan IR Cloud-Drift Winds during PACJETGOES-10 Rapid-Scan IR Cloud-Drift Winds during PACJET

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…… The remainder of the presentation will on focus initial results The remainder of the presentation will on focus initial results from the retrospective test designed to from the retrospective test designed to quantify the forecast impact quantify the forecast impact from the special rapid-scan satellite windsfrom the special rapid-scan satellite winds. In this test, two parallel . In this test, two parallel sets of 1-h cycled RUC forecasts were produced for a meteorologically sets of 1-h cycled RUC forecasts were produced for a meteorologically active period. The active period. The first experimentfirst experiment utilized all conventional observations (rawinsonde, utilized all conventional observations (rawinsonde, 404 and 915 MHz profiler, RASS, VAD, ACARS, and surface reports), 404 and 915 MHz profiler, RASS, VAD, ACARS, and surface reports), while the while the second experimentsecond experiment, supplemented the conventional observations with , supplemented the conventional observations with the rapid-scan satellite winds. the rapid-scan satellite winds.

Initial results from the retrospective test indicate that Initial results from the retrospective test indicate that inclusion inclusion of the rapid-scan satellite wind observations improved short-of the rapid-scan satellite wind observations improved short-range (0-12 h) wind predictions by up to 10% for this caserange (0-12 h) wind predictions by up to 10% for this case.

High-resolution RUC forecasts for PACJET:High-resolution RUC forecasts for PACJET:Real-time NWS guidance and retrospective data impact testsReal-time NWS guidance and retrospective data impact tests

Steve WeygandtSteve Weygandt1*1*, Stan Benjamin, Stan Benjamin11, Chris Velden, Chris Velden2 2 Jason BurksJason Burks33, and Louisa Nance, and Louisa Nance4,54,5 1NOAA/Forecast Systems Laboratory, Boulder, CO

2CIMSS, University of Wisconsin, Madison, WI3NOAA/National Weather Service Western Region, Salt lake City, UT

4NOAA/Environmental Technology Laboratory, Boulder, CO5CIRES, University of Colorado, Boulder, CO

(Excerpt from Abstract Submitted to USWRP 4(Excerpt from Abstract Submitted to USWRP 4thth Science Science Symposium)Symposium)

37MODIS band 31 (11 m)

TERRA/MODIS Cloud-Drift WindsTERRA/MODIS Cloud-Drift Winds

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MODIS band 27 (6.7 m)

TERRA/MODIS Water Vapor ChannelTERRA/MODIS Water Vapor Channel(One Day of Arctic Orbits)(One Day of Arctic Orbits)

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GOES Satellite Wind Product ValidationGOES Satellite Wind Product Validation

http://orbit-net.nesdis.noaa.gov/goes/winds/html/tseries.htmlhttp://orbit-net.nesdis.noaa.gov/goes/winds/html/tseries.html

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http://orbit-net.nesdis.noaa.gov/goes/winds/html/tseries.htmlhttp://orbit-net.nesdis.noaa.gov/goes/winds/html/tseries.html

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Challenges: Current & FutureChallenges: Current & Future

• Need to reduce product latencyNeed to reduce product latency– Streamlined product processingStreamlined product processing– Faster scanning strategies; adaptable scanning Faster scanning strategies; adaptable scanning

strategiesstrategies

• Improved product quality control & monitoring Improved product quality control & monitoring to assure the reliability of high quality productsto assure the reliability of high quality products

• Getting experimental satellite products into the Getting experimental satellite products into the hands of NWS forecastershands of NWS forecasters– AWIPSAWIPS– Other ways (ie., internet etc.)Other ways (ie., internet etc.)

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Challenges: Current & Future Challenges: Current & Future (cont’d)(cont’d)

• Data fusion, new display capabilities & forecaster Data fusion, new display capabilities & forecaster toolstools– Derived Product Imagery (DPIs) information will become Derived Product Imagery (DPIs) information will become

increasingly importantincreasingly important• Expansion of applicationsExpansion of applications

– Pre-convective storm location/intensity, fog, wild fires, icing, etcPre-convective storm location/intensity, fog, wild fires, icing, etc• Real-time model verificationReal-time model verification• Easy to interpretEasy to interpret• Easily integrated with “Nowcasting” productsEasily integrated with “Nowcasting” products• Combine the best of all observing systemsCombine the best of all observing systems

– Combine Raob, Aircraft, Profiler winds, and GOES RH to produce Combine Raob, Aircraft, Profiler winds, and GOES RH to produce moisture fluxmoisture flux

• Real-time model verificationReal-time model verification• Continued need for trainingContinued need for training

• New instrumentsNew instruments– Improved vertical resolving powerImproved vertical resolving power

• Improved depiction of vertical distribution of moistureImproved depiction of vertical distribution of moisture

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Web Site & Contact InformationWeb Site & Contact Information

• http://orbit-net.nesdis.noaa.gov/goes/soundings– GOES sounder retrieval productsGOES sounder retrieval products

• http://orbit-net.nesdis.noaa.gov/goes/sdpi/html/sdpiimgnewt.html– Contains the experimental SFOV Sounder Derived Product Imagery Contains the experimental SFOV Sounder Derived Product Imagery

– Products are categorized as cloud, fire, moisture, severe weather, and Products are categorized as cloud, fire, moisture, severe weather, and temperaturetemperature

• http://orbit-net.nesdis.noaa.gov/goes/winds– GOES wind productsGOES wind products

• [email protected]; 301-763-8204 x143; 301-763-8204 x143

http://orbit-net.nesdis.noaa.gov/goes/soundings

http://orbit-net.nesdis.noaa.gov/goes/sdpi/html/sdpiimgnewt.html

http://orbit-net.nesdis.noaa.gov/goes/winds







mailto:[email protected]

mailto:[email protected]

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GOES-12 ECAGOES-12 ECA

Operational DPI System Operational DPI System

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GOES-12 ECAGOES-12 ECA

Merged Sounder Product System Merged Sounder Product System

Documents

GOES Product Applications