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ri. DTIlC. · 2011. 5. 13. · JORNADA EXPERIMENTAL RANGE (USDA), LAS CRUCES, NEW MEXICO SITE 107...

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AD A2 54 044TATON________ -- ITATION PAGE form Appiove. I OPMl No. 0704.01U i. AGENCY USE ONLYV'Leeve bleank) I. REPORT DATE J 3. REPORT TYPE AND DATES COVERED- 7 T21 Feb 92 Scientific Paper /00:1 4. TiTLE AND SUBTITLE S. fUNDING NUMB[ l,. LONG-TERM DATA COLLECTION AND EMPIRICAL BACKGROUND TEMPERATURE MODELING B. AUTHOR(S) Alan E. Krusinger 7. PERFORMING ORGANIZATION NAME(S) AND Ar.JRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBER U.S. Army Topographic Engineering Center ATTN: CETEC-LO .R-162 Fort Belvoir, VA 22060-5546 ri. SPONSORING /MONITORING AGENCY NAME(S) AND ADORESS(ES) 10. SPONSORINGI MONITORING AGENCY REPORT NUMBER DTIlC. i •ELECT.E 1 .SUPP LEM ENTARY N T S-- #4i A D I•a. DISTRIBUTION / AVAILAMIUTY STATEMENT 12b. DISTRIBUTION COOD Approved for public release; distribution is unlimited. 113. ABSTRA•CT (Maximum 200 words) At the Research Institute, U.S. Army Topographic Engineering Center (TEC) we are developing empirical models to predict background surface temperatures and thermal contrasts, using continuous, long-term data collection in various climates. We are using a type-day concept to bound and group the values of radiation and other meteorological parameters into typical, somewhat unique weather conditions. Type- days are differentiated mainly by limits on integrated short and long wave incoming radiation, which portray sky cover and atmospheric conditions. The inputs to the models ar climate,' season, sky cover and whether the bare soil is "wet" or "dry". We believe that existing, energy budget, surface temperature models are too complex in input variables and in operation, and that they ca t be simplified for tactical use. We also think that there is insufficient J1int meteorological, radiometric and surface temperature data avaliable. 14. SUBJECT TERMS 1S. NUMBER OF PAGES 16 Empirical models, Background Surface Temperatures, Thermal 1 6 Contrasts, Long-term Data Collection, Type-day Concept 17. SECURITY CLASSIFICATION 10. SECURITY CLASSIFICATION 19. SECURITY CLASSIFICATION 20. UMITATION OF ABSTRACT OF REPORT OF THIS PAGE OF ABSTRACT UNCLASSIFIED UNCLASSIFIED UNCLASSIFIED NSN 7540-01.280.5500 Standa•d 'orm 298 ,R: , -89), 4t,b.'1,• £~ '".' , 'J '
Transcript
  • AD A2 5 4 044TATON________-- ITATION PAGE

    form Appiove.

    I OPMl No. 0704.01U

    i. AGENCY USE ONLYV'Leeve bleank) I. REPORT DATE J 3. REPORT TYPE AND DATES COVERED-7 T21 Feb 92 Scientific Paper /00:1

    4. TiTLE AND SUBTITLE S. fUNDING NUMB[ l,.

    LONG-TERM DATA COLLECTION AND EMPIRICAL BACKGROUND

    TEMPERATURE MODELING

    B. AUTHOR(S)

    Alan E. Krusinger

    7. PERFORMING ORGANIZATION NAME(S) AND Ar.JRESS(ES) 8. PERFORMING ORGANIZATIONREPORT NUMBER

    U.S. Army Topographic Engineering CenterATTN: CETEC-LO .R-162Fort Belvoir, VA 22060-5546

    ri. SPONSORING /MONITORING AGENCY NAME(S) AND ADORESS(ES) 10. SPONSORINGI MONITORINGAGENCY REPORT NUMBER

    DTIlC.i •ELECT.E

    1 .SUPP LEM ENTARY N T S-- #4i A D

    I•a. DISTRIBUTION / AVAILAMIUTY STATEMENT 12b. DISTRIBUTION COOD

    Approved for public release;

    distribution is unlimited.

    113. ABSTRA•CT (Maximum 200 words)At the Research Institute, U.S. Army Topographic Engineering Center (TEC) we

    are developing empirical models to predict background surface temperatures andthermal contrasts, using continuous, long-term data collection in various climates.

    We are using a type-day concept to bound and group the values of radiation and othermeteorological parameters into typical, somewhat unique weather conditions. Type-days are differentiated mainly by limits on integrated short and long wave incomingradiation, which portray sky cover and atmospheric conditions.

    The inputs to the models ar climate,' season, sky cover and whether the bare soilis "wet" or "dry". We believe that existing, energy budget, surface temperaturemodels are too complex in input variables and in operation, and that they ca tbe simplified for tactical use. We also think that there is insufficient J1intmeteorological, radiometric and surface temperature data avaliable.

    14. SUBJECT TERMS 1S. NUMBER OF PAGES16Empirical models, Background Surface Temperatures,

    Thermal 1 6

    Contrasts, Long-term Data Collection, Type-day Concept

    17. SECURITY CLASSIFICATION 10. SECURITY CLASSIFICATION 19. SECURITY CLASSIFICATION 20. UMITATION OF ABSTRACTOF REPORT OF THIS PAGE OF ABSTRACT

    UNCLASSIFIED UNCLASSIFIED UNCLASSIFIED

    NSN 7540-01.280.5500 Standa•d 'orm 298 ,R: , -89),• 4t,b.'1,• £~ '".' , 'J '

  • LONG-TERM DATA COLLECTION AND EMPIRICAL

    BACKGROUND TEMPERATURE MODELING

    UNCLASSIFIED

    Alan E. KrusingerU.S. Army Topographic Engineering Center

    Fort Belvoir, Virginia 22060-5546

    Abstract

    At the Research Institute, U.S. Army Topographic EngineeringCenter (TEC) we are developing empirical models to predictbackground surface temperatures-and thermal contrasts, usingcontinuous, long-term data collection in various climates. Weare using a type-day concept to bound nnd group the values ofradiation and other meteorological p.w4aýaeters into typical,somewhat unique weather conditions. T;pe-days are differentiatedmainly by limits on integrated short and long wave incomingradiation, which portray sky cover and atmospheric conditions.

    The inputs to the models are climate, season, sky cover andwhether the bare soil is "wet" or "dry". We believe thatexisting, energy budget, surface temperature models are toocomplex in input variables and in operation, and that they cannotbe simplified for tactical use. We also think that there isinsufficient joint meteorological, radiometric and surfacetemperature data available.

    We request cooperation in finding local contacts, funding,target vehicles, and people for site maintenance to set upremote, automatic data colaectinn sites in tropical and Europeanclimates to complement our existinj desert sites in Las Cruces,New Mexico and Yuma, Arizona and ti~mpevate site in Fort Belvoit,Virginia. With permanent, stationavy tarqets and continuousbackground and meteorological data collection, statisticallyrepresentative data could be collected for all seasons andweather condit ons. The sites could be overflown by anyonewithout scheddling, and they could be assured of real groundtruth.

    Outline

    1. Background Signatures Study Summary: What, Why, How M

    2. Ground Photo and Description of TEC Instrumented Site, Ft. anBelvoir, VA

    3. Ground Photo and Description of Jornada Exp. Range Site,Las Cruces, NM

    4. List of Data Collected at TEC Site

    5. List of Data Collected at Jornada and Yuma Sites

    92 8 13 032

  • -2-

    6. Diurnal Temperature Curves for TEC Site , Data Example

    7. Soil Temperature and Moisture Time Plot for TEC Site,Data Example

    8. Description of Type-Day Concept, Uslig Multiplot Graph

    9. Site Radiometric/Meteorological Characterization Data Table,TEC Site, •xample

    10. List of Input Variables to Typical Energy Budget SurfaceTemperature Model (USAWES)

    11. List of Input Variables to TEC Empirical Surface TemperatureModel

    12. Plot of Composite Day Diurnal Period Data and Fourier SeriesCurve Fit for a Typical Type-Day

    13. Set of Typical Composite Day Diurnal Temperature Curves fromthe TEC Model, Showing 5 Type-Days

    14. Test of Model: Plot Showing Measured and Predicted SurfaceTemperatures, Clear Dry Day

    15. Test of Model: Plot Showing Measured and Predicted SurfaceTemperatures, Partly Cloudy Dry Day

    16. Test of Model: Plot Showing Measured and Predicted SurfaceTemperatures, Overcast Dry Day

    17. Test of Model: Plot Showing Measured and Predicted SurfaceTemperatures, Overcast Rainy Day

    18. Handout: "Radiation Data Bases"; Unpublished Report, Feb1991

    Acceston For

    fNTIS CRA&IDTIC TABUnannounced tjJustif-cation ............By . ............. ........... ...

    Distribution I

    Availability Cou~t,DTIC QUALITY INSP V'SD 5 viiidu

    Dist Special

  • RADIATION DATA BASES

    U.S. ARMY TOPOGRAPHIC ENGINEERING CENTER

    Research Institute

    Remote Sonsing Division

    Fort Belvoir, VA 22060-5546

    POC Alan E. Krusinger, Phone (703) 355-3138

    TEC, FORT BELVOIR, VIRGINIA SITE

    77 08 46 W long., 38 44 35 N lat., Elev. 30m

    Humid Subtropical Climate; Data 1983-Present

    Warm Summer, Constantly Moist

    H4alf Hourly Records

    No. of Inputs Measurement

    At Each Half Hour, Averaged, with 21 Samples in 2 mini

    1 Global Short Wave Incoming Radiation (W/m2 ) in .2-2.8pm band

    I Global Long Wave Incoming Radiation (W/m 2 ) in 3-5Opm band

    1 Global All Wave Incoming Radiation (W/m2) in .2-50pm band

    3 Global Short Wave Net Radiation (W/m 2 ) in .2-2.8tm band:

    Over Bare Soil, Cut Grass, and Uncut Grass & Weeds3 Wind Speed Profile (m/s) @ 10cm, 1.2m, 15m

    1 Wind Direction CAzimuth) @ 15m

    2 Surface Radiometric Temperature (C) in 8-14pm band, over:

    Cut Grass

    Uncut Grass and Weeds

    Bare Soil

    Gravel

    Shrubs

    Fir Tree

    Deciduous Forest

    Buried Rock

    Camouflage Net

    M114 Armored Reconnaisance Vehicle

    Measured Every 30 min

    I Cumulative Precipitation (mm)

    I Barometric Pressure (mb)

    10 Air Temperature Profile (C) @ 10,50cm, 1.2,2,3,4,6,8,10,12m

    1 Dew Point Temperature CC) @ 1.2m

    56 Soil Temperature CC) in 8 Profiles @ 1,2,6,10,20,40,80cm

    8 Soil Heat Flux (W/m 2 ) in 2 Profiles @ 2,6,10,20cm depths

    72 Soil Moisture Resistance (f)hms) in 6 Profiles @ 2,6,10,20cm

    3 Buried Rock Temperature; (CC) @ Top, Center, Bottom

    2 Armored Recon Vehicle Temperature CC), Skin and Internal Air

    6 Housekeeping and Self Calibration

    172 TOTAL

  • JORNADA EXPERIMENTAL RANGE (USDA), LAS CRUCES, NEW MEXICO SITE

    107 45 00 W long., 32 38 00 N lat., Elev. 1323m

    Chihuahuan Desert: ISLSCP/ NASA International Site for Study of Arid Lands

    Semiarid to Arid Climate : Data 1986-Present

    Cool Winter (Dry), Warm Summer (with Precipitation)

    50 yr Record of Vegetation and Soil Changes (Erosion)

    Soil and Vegetation Maps

    Cooperative Site with USAETL, USGS, USDA, UNM

    AND

    YUMA MARINE CORPS AIR STATION, GOLDWATER RANGE, ARIZONA SITE

    114 31 27 W long., 32 32 06 N lat., Elev. 75m

    Lower Sonoran Desert

    Arid Climate : Data 1988- Present

    Mild Winter (with Precipitation), Spring (Dry)

    Hot Summer (with Precipitation), Autumn (Dry)

    7 years previous Met Data, USGS Desert Winds Site

    Cooperative Site with USGS, Flagstaff, AZ

    Both, Solar/Battery Powered Remote Sites, using GOES Telemetry

    [ Periodic, Field Spectral Reflectance Measurements ]6min, 12min, and 60min Data Averaging

    No. of Measurement Sampling

    Inputs IntervalAveraged Every 6 min

    3 Wind Speed Profile (m/s) @ 1.3m, 2.4m, 6m lsec

    Wind Speed Peak Gust (m/s? @ 1.3m, 6m lsec

    I Wind Direction (Azimuth) @ 6m losec

    1 Sand Flux Momentum Average @ 10cm hsec

    Sand Flux Momentum Peak lsec

    Measured / Averaged Every 12 min

    1 Global Short Wave Incoming Radiation (W/m 2 ) [.2-2.8pm] lOsec

    1 Globalyhort Wave Outgoing Radiation (W/m2 ) (.2-2.8pm] lOsec

    1 Global Long Wave Incoming Radiation (W/m 2 ) (3-50pm] 10sec

    1 Global Long Wave Outgoing Radiation (W/m 2 ) [3-50tm] 10seC

    1 Cumulative Precipitation (mm) 12min

    2 Air Temperature Profile ('C) @ 1.3m, 6m 12mmn

    4 Surface Radiometric Temperature (C) Shrubs and Soil lOsec

    2 Soil Heat Flux (W/m 2 ) @ 2cm depth 10s*c

    Measured / Averaged Every 1 hr

    1 Barometric Pressure (mb) lhr

    1 Humidity (%) @ 1.3m lhr

    3 Soil Temperature Profile CC) @ 4cm, 10cm, 20cm depths lhr

    1 Soil Moisture (%) @ 4cm depth lOsec

    1 Battery Voltage (V) lhr

    25 TOTAL

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  • Meteorological Site Classification

    TEC Site Ft Belvoir, VA

    Site Data, 1986-1988

    SEPTEMBER SEASON

    Mean Max Min Mean Mean Mean Max Min Area Area MaxAir Air Air Dew Baro. Lwi Lwi Lwi Swi Wind SoilTemp Temp Temp Pt. Press. Curve Curve Moist(C) (C) (C) (C) (mb) - (W/mA2) (W/m^2 (m/s (%/wt)

    *hr) *hr)

    Type Days:

    Clear-Dry

    16.2 31.5 4.2 9.4 1026 333 466 216 5760 12.2 10.2

    Partly Cloudy-Dry

    20.8 32.7 9.0 15.3 1020 387 474 256 4432 11.1 10.2

    Partly Cloudy-Wet

    22.2 29.5 13.7 17.9 1013 383 480 253 4160 8.2 11.0

    Overcast-Dry

    20.3 26.3 13.9 16.4 1018 412 566 340 1362 10.0 10.1

    Overcast-Wet

    20.2 23.5 15.9 18.0 1014 413 436 361 1738 6.7 11.0

    Overcast-Rain

    20.9 25.6 17.7 19.1 1016 416 468 363 712 7.6 11.0

  • INPUTSto

    USA WES Terrain Surface Temperature Model with"VEGIE" Vegetation Temperature Model

    1. Time Step Interval Between Inputs2. Shelter Height at which Weather Data is Measured (cm)3. Number of Systems ,or Different Backgrounds4. System Index, or Interval Between Measurements5. Number of Measurements in Soil Temperature Profile6. Number of Layers in the System7. Layer Thickness (cm)8. Grid Spacing of each layer (arbitrary) (cm)9. Thermal Diffusivity for each layer (cmA2/mln)

    1e. Thermal Conductivity for each layer (cal/min cm K)11. Long Wave Emissivity of the Surface (0-1)12. Short Wave Rdsorbtlvity of the Surface (0-1)13. Wetness of the Surface (0-1)14. Bottem Boundary Condition Indicator ( -1,01)15. Bottem Boundary Temperature or Flux (OC or cal/cm^2 min)16. Vegetation Presence Indicator (Yes/ No) (1,1)17. Vegetation Coverage Factor (S-1)IS. Vegetation Stress Factor (S-I)19. Vegetation Long Wave Emissivity (8-1)20. Vegetation Short Wave Rdsorbtivity (8-1)20. Vegetation Height (cm)21. Barometric Ptessure (mb)

    '22. Soil Terperatur* Profile (°Cy•3. Air Temperatu•;•t. Shelter (eC)• - /

    F24. Relative Humi4lty or Dew Point Temperature at Shelter (% or *C)25. Long Wave Incoýfng Irradiation -(/m*2) or Cloud Cover (M)26. Short Wave Incoming Irradiation (Insolation) (N/m^2)27. Average Wind Speed (m/s)28. Time29. Latitude (0)39. Surface Azimuh (0)31. Surface Slop:i (o)

    /

  • INPUTS TO TEC SURFACE TEMPERATURE MODEL

    1.CLMT

    Humid SubtropicalSemiaridArid

    2. SEASON

    Summer ( Jun, Jul, Aug)Septer.,berOctoberNovemberWinter ( Dec, Jan, Feb)MarchAprilMay

    3. SKY CONDITIO:NS AND SURFACE SOIL MOISTURE

    Clear, DryClear, WetClear, SnowPartly Cloudy, DryPartly Cloudy, WetPartly Cloudy, SnowOvercast, DryOvercast, WetOvercast, Rain,WetOvercast, Snow

    4. BACKGROUND OR THERMAL CONTRAST

    Camouflage NetBare SoilCut GrassUncut GrassGravelFir TreeRockM114 Armored Reconnaisance VehicleM114- Cut GrassM114- Bare SoilM114- Uncut GrassM114- GravelM114- Fir TreeM114- Rock

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