NAME Soundings Rawinsonde NWS (6-sec vertical levels) JOSS 1.0 General Description This is one of the upper air data sets developed for the North American Monsoon Experiment (NAME). Included in this data set are 61 National Weather Service (NWS) rawinsonde stations located in or near the NAME tier-3 domain. The soundings were released two a day with more released during the IOPs. The final data set consists of 6-sec vertical resolution files. On 23 March 2010 a new version of these data were released that included the corrections of Ciesielski, et al (2009). Only the following 5 stations were corrected: Amarillo, TX (KAMA), El Paso, TX/Santa Teresa, NM (KEPZ), Flagstaff, AZ (KFGZ), Midland, TX (KMAF), and Tucson, AZ (KTUS). 2.0 Detailed Data Description 2.0.1 National Weather Service High-Resolution Sounding Algorithms The detailed description of NWS sounding collection and instrumentation is located in NWS (1991). 2.1 Detailed Format Description All upper air soundings were converted to University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS) Cross Chain LORAN Atmospheric Sounding System (CLASS) Format (JCF). JCF is a version of the National Center for Atmospheric Research (NCAR) CLASS format and is an ASCII format consisting of 15 header records for each sounding followed by the data records with associated QC information. Header Records The header records (15 total records) contain data type, project ID, site ID, site location, release time, sonde type, meteorological and wind data processors, and the operator's name and comments. The first five header lines contain information identifying the sounding, and have a rigidly defined form. The following 7 header lines are used for auxiliary information and comments about the sounding, and may vary from dataset to dataset. The last 3 header records contain header information for the data columns. Line 13 holds the field names, line 14 the field units, and line 15 contains dashes ('-' characters) delineating the extent of the field. The five standard header lines are as follows: Line Label (padded to 35 char) Contents 1 Data Type: Description of type and resolution of data. 2 Project ID: ID of weather project. 3 Release Site Type/Site ID: Description of release site. 4 Release Location (lon,lat,alt): Position of release site, in format described below. 5 GMT Launch Time (y,m,d,h,m,s): Time of release, in format: yyyy, mm, dd, hh:mm:ss The release location is given as: lon (deg min), lat (deg min), lon (dec. deg), lat (dec. deg), alt (m) Longitude in deg min is in the format: ddd mm.mm'W where ddd is the number of degrees from True North (with leading zeros if necessary), mm.mm is the decimal number of minutes, and W represents W or E for west or east longitude, respectively. Latitude has the same format as longitude, except there are only two digits for degrees and N or S for north/south latitude. The decimal equivalent of longitude and latitude and station elevation follow. The seven non-standard header lines may contain any label and contents. The labels are padded to 35 characters to match the standard header lines. Records for this dataset include the following three non-standard header lines. Line Label (padded to 35 char) Contents 6 Ascension No: 1299 7 Radiosonde Serial Number: 152551614 8 Radiosonde Manufacturer: Vaisala Data Records The data records each contain time from release, pressure, temperature, dew point, relative humidity, U and V wind components, wind speed and direction, ascent rate, balloon position data, altitude, and quality control flags (see the QC code description). Each data line contains 21 fields, separated by spaces, with a total width of 130 characters. The data are right-justified within the fields. All fields have one decimal place of precision, with the exception of latitude and longitude, which have three decimal places of precision. The contents and sizes of the 21 fields that appear in each data record are as follows: Field Format No. Width Parameter Units Missing Value ------------------------------------------------------------------------ 1 6 F6.1 Time Seconds 9999.0 2 6 F6.1 Pressure Millibars 9999.0 3 5 F5.1 Dry-bulb Temperature Degrees C 999.0 4 5 F5.1 Dew Point Temperature Degrees C 999.0 5 5 F5.1 Relative Humidity Percent 999.0 6 6 F6.1 U Wind Component Meters / Second 9999.0 7 6 F6.1 V Wind Component Meters / Second 9999.0 8 5 F5.1 Wind Speed Meters / Second 999.0 9 5 F5.1 Wind Direction Degrees 999.0 10 5 F5.1 Ascension Rate Meters / Second 999.0 11 8 F8.3 Longitude Degrees 9999.0 12 7 F7.3 Latitude Degrees 999.0 13 5 F5.1 Elevation Angle Degrees 999.0 14 5 F5.1 Azimuth Angle Degrees 999.0 15 7 F7.1 Altitude Meters 99999.0 16 4 F4.1 QC for Pressure Code (see below) 99.0 17 4 F4.1 QC for Temperature Code (see below) 99.0 18 4 F4.1 QC for Humidity Code (see below) 99.0 19 4 F4.1 QC for U Component Code (see below) 99.0 20 4 F4.1 QC for V Component Code (see below) 99.0 21 4 F4.1 QC for Ascension Rate Code (see below) 99.0 Fields 16 through 21 contain the Quality Control information derived at the UCAR Joint Office for Science Support (UCAR/JOSS). Any QC information from the original sounding is replaced by the following JOSS codes: Code Description 99.0 Unchecked (QC information is "missing.") ("UNCHECKED") 1.0 Checked, datum seems physically reasonable. ("GOOD") 2.0 Checked, datum seems questionable on physical basis.("MAYBE") 3.0 Checked, datum seems to be in error. ("BAD") 4.0 Checked, datum is interpolated. ("ESTIMATED") 9.0 Checked, datum was missing in original file. ("MISSING") Sample Data The following is a sample record of NAME Sounding Rawinsonde NWS upper air data in JOSS CLASS format. The data portion is much longer than 80 characters and, therefore, wraps around to a second line. See section 2.1 for an exact format specification Data Type: NWS Project ID: NAME NWS Highres Sounding Release Site Type/Site ID: ABQ Albuquerque, NM Release Location (lon,lat,alt): 106 36.00'W, 35 0.00'N, -106.60, 35.00, 1615.0 UTC Release Time (y,m,d,h,m,s): 2004, 06, 01, 11:06:00 Ascension No: 1305 Radiosonde Serial Number: 84922940.CSN Radiosonde Manufacturer: VIZ B2 / / / Nominal Release Time (y,m,d,h,m,s):2004, 06, 01, 12:00:00 Time Press Temp Dewpt RH Uwind Vwind Wspd Dir dZ Lon Lat Elev Azim Alt Qp Qt Qh Qu Qv Qdz sec mb C C % m/s m/s m/s deg m/s deg deg deg deg m code code code code code code ------ ------ ----- ----- ----- ------ ------ ----- ----- ----- -------- ------- ----- ----- ------- ---- ---- ---- ---- ---- ---- 0.0 836.6 13.0 -10.8 18.0 -4.4 1.6 4.7 110.0 999.0 -106.600 35.000 999.0 999.0 1615.0 2.0 2.0 2.0 99.0 99.0 9.0 6.0 831.1 16.1 -12.0 13.4 -4.2 1.1 4.3 105.0 9.3 9999.000 999.000 999.0 999.0 1671.0 2.0 2.0 2.0 4.0 4.0 99.0 12.0 827.9 17.9 -11.4 12.5 -4.1 0.6 4.1 98.0 5.3 9999.000 999.000 999.0 999.0 1703.0 2.0 2.0 2.0 4.0 4.0 99.0 18.0 825.2 18.5 -11.6 11.9 0.0 3.9 3.9 180.0 4.7 9999.000 999.000 999.0 999.0 1731.0 99.0 99.0 99.0 4.0 4.0 99.0 2.2 Data Remarks NWS soundings during NAME utilized either the VIZ type radiosonde produced by Sippican Inc. (http://www.sippican.com/meteorological.html) or the Vaisala RS-80 radiosonde (http://www.vaisala.com, under "Product and Systems/Radiosonde,dropsondes,rockectsondes"). The use of the raw 6-sec resolution elevation and azimuth angle data to derive the winds sometimes led to large oscillations in wind speed, due to the presence of oscillations in the elevation angle data, particularly at low elevation angles. The general approach to correct this problem was to remove the out-lier radiosonde position data before computing the wind components (Williams et al. 1993). For both the azimuth and elevation angles from 360 sec to the end of the sounding, a ninth order polynomial was fit to the curve. The residuals were calculated and compared to the observed values. The outliers of the residuals were then removed. Then to help correct the more extensive problems at low elevation angles within 10 degrees of the limiting angles (LA) some additional smoothing was applied. If the elevation angle was between (LA + 7.5) and (LA + 10), the new elevation angle was computed with a 2 min linear fit. If the elevation angle was between (LA + 5) and (LA + 7.5), the new elevation angle was computed with a 3 min linear fit. If the elevation angle was less than (LA + 5), the new elevation angle was computed with a 4 min linear fit. If the number of observations with low elevation angles was greater than 20% of the total number of observations for the sounding no frequency smoothing occurred. Then, for the elevation angle only, a finite Fourier analysis was performed on the residuals. Periods from 90-190 sec were removed and those below 30 sec were flattened. Finally, a 2 min second order polynomial was then fit to the position to derive the u and v wind components, except for the beginning and end minute (or 1.5 minutes if over 50 mb) which used a 3 min fit. If there were less than 15% of the total number of points, not counting the beginning or end of the flight, on one side of the point for which the wind value was being computed, a linear fit was used. For further information on this methodology and its changes since Williams et al. (1993) please see Williams, et al. (1998). 2.3 Station List ID SITE STATE LONG LAT ELEV (m) SONDE TYPE ------------------------------------------------------------------ ABQ Albuquerque NM -106.6 35.0 1615.0 VIZ B2 ABR Aberdeen SD -98.4 45.5 397.0 Vaisala AMA Amarillo TX -101.7 35.2 1094.0 Vaisala APX Gaylord MI -84.7 44.9 448.0 Vaisala BIS Bismarck ND -100.7 46.8 505.0 VIZ B2 BMX Shelby County AL -86.8 33.2 178.0 Vaisala BNA Nashville TN -86.6 36.2 180.0 VIZ B2 BOI Boise ID -116.2 43.6 871.0 Vaisala BRO Brownsville TX -97.4 25.9 7.0 VIZ B2 BUF Buffalo NY -78.7 42.9 218.0 Vaisala CRP Corpus Christi TX -97.5 27.8 14.0 VIZ B2 DDC Dodge City KS -100.0 37.8 788.0 VIZ B2 DNR Denver INT APT CO -104.9 39.8 1611.0 Vaisala DRA Desert Rock NV -116.0 36.6 1007.0 VIZ B2 DRT Del Rio TX -100.9 29.4 314.0 VIZ B2 DTX White Lake MI -83.5 42.7 329.0 Vaisala EPZ Santa Teresa NM -106.7 31.9 1252.0 Vaisala EYW Key West FL -81.8 24.5 2.0 VIZ B2 FFC Peachtree City GA -84.6 33.4 245.0 Vaisala FGZ Flagstaff AZ -111.8 35.2 2180.0 Vaisala FWD Fort Worth TX -97.3 32.8 198.0 Vaisala GGW Glasgow MT -106.6 48.2 693.0 VIZ B2 GJT Grand Junction CO -108.5 39.1 1472.0 Vaisala GRB Green Bay WI -88.1 44.5 214.0 VIZ B2 GSO Greensboro NC -79.9 36.1 277.0 Vaisala IAD Sterling VA -77.5 39.0 86.0 Vaisala ILN Wilmington OH -83.7 39.4 323.0 Vaisala ILX Central Illinois IL -89.3 40.2 178.0 Vaisala INL International Falls MN -93.4 48.5 361.0 Vaisala JAN Jackson MS -90.1 32.3 91.0 VIZ B2 JAX Jacksonville FL -81.7 30.5 9.0 Vaisala LBF North Platte NE -100.7 41.1 849.0 Vaisala LCH Lake Charles LA -93.2 30.1 5.0 Vaisala LIT Little Rock AR -92.3 34.8 172.0 Vaisala LKN Elko NV -115.7 40.9 1592.0 VIZ B2 MAF Midland TX -102.2 32.0 873.0 Vaisala MFL Miami FL -80.4 25.8 5.0 Vaisala MFR Medford OR -122.9 42.9 397.0 VIZ B2 MHX Newport NC -76.9 34.8 11.0 Vaisala MPX Chanhassen MN -93.6 44.8 290.0 Vaisala NKX San Diego CA -117.1 32.8 134.0 VIZ B2 OAK Oakland CA -122.2 37.7 6.0 VIZ B2 OAX Valley NE -96.4 41.3 350.0 Vaisala OKX Brookhaven NY -72.9 40.9 20.0 Vaisala OTX Spokane WA -117.6 47.7 728.0 VIZ B2 OUN Norman OK -97.4 35.2 357.0 Vaisala PIT Pittsburgh PA -80.2 40.5 360.0 VIZ B2 REV Reno NV -119.8 39.6 1516.0 Vaisala RIW Riverton WY -108.5 43.1 1699.0 Vaisala RNK Blacksburg VA -80.4 37.2 640.0 Vaisala SGF Springfield MO -93.4 37.2 391.0 Vaisala SHV Shreveport LA -93.8 32.5 85.0 Vaisala SIL Slidell LA -89.8 30.4 10.0 Vaisala SLC Salt Lake City UT -111.9 40.8 1288.0 Vaisala SLE Salem OR -123.0 44.9 61.0 VIZ B2 TBW Tampa Bay Area FL -82.4 27.7 13.0 Vaisala TFX Great Falls MT -111.4 47.5 1132.0 VIZ B2 TLH Tallahassee FL -84.3 30.5 53.0 Vaisala TOP Topeka KS -95.6 39.1 270.0 Vaisala TUS Tucson AZ -110.0 32.1 787.0 Vaisala UIL Quillayute WA -124.6 48.0 56.0 VIZ B2 UNR Rapid City SD -103.2 44.1 1029.0 Vaisala 3.0 Quality Control Processing This dataset underwent an automated QC process. The dataset underwent internal consistency checks which included two types of checks, gross limit checks on all parameters and rate-of-change checks on temperature, pressure and ascension rate. Some further information on the QC processing conducted by JOSS can be found in Loehrer et al. (1996) and Loehrer et al. (1998). 3.1 Gross Limit Checks These checks were conducted on each sounding and data were automatically flagged as appropriate. Only the data point under examination was flagged. JOSS conducted the following gross limit checks on the NAME NWS sounding dataset. In the table P = pressure, T = temperature, RH = relative humidity, U = U wind component, V = V wind component, B = bad, and Q = questionable. __________________________________________________________________ Parameter(s) Flag Parameter Gross Limit Check Flagged Applied __________________________________________________________________ Pressure < 0 mb or > 1050 mb P B Altitude < 0 m or > 40000 m P, T, RH Q Temperature < -90C or > 45C T Q Dew Point < -99.9C or > 33C RH Q > Temperature T, RH Q Relative Humidity < 0% or > 100% RH B Wind Speed < 0 m/s or > 100 m/s U, V Q > 150 m/s U, V B U Wind Component < 0 m/s or > 100 m/s U Q > 150 m/s U B V Wind Component < 0 m/s or > 100 m/s V Q > 150 m/s V B Wind Direction < 0 deg or > 360 deg U, V B Ascent Rate < -10 m/s or > 10 m/s P, T, RH Q _________________________________________________________________ 3.2 Vertical Consistency Checks These checks were conducted on each sounding and data were automatically flagged as appropriate. These checks were started at the lowest level of the sounding and compared neighboring 6-sec data points (except at pressures less than 100 mb where 30-sec average values were used. In the case of checks ensuring that the values increased/decreased as expected, only the data point under examination was flagged. However, for the other checks, all of the data points used in the examination were flagged. All items within the table are as previously defined. _____________________________________________________________________ Vertical Consistency Parameter(s) Flag Parameter Check Flagged Applied _____________________________________________________________________ Time decreasing/equal None None Altitude decreasing/equal P, T, RH Q Pressure increasing/equal P, T, RH Q > 1 mb/s or < -1 mb/s P, T, RH Q > 2 mb/s or < -2 mb/s P, T, RH B Temperature < -15 C/km P, T, RH Q < -30 C/km P, T, RH B > 50 C/km (not applied at p < 250mb) P, T, RH Q > 100 C/km (not applied at p < 250mb) P, T, RH B Ascent Rate change of > 3 m/s or < -3 m/s P Q change of > 5 m/s or < -5 m/s P B _____________________________________________________________________ 3.3 Data Quality Issues 3.3.1 Near Surface Winds A common problem in near surface wind speed values calculated from the 6-second position data is that the first radiosonde wind speed is much higher than the independently measured surface value. The calculated radiosonde winds then decrease rapidly so that within about 60 s (20-30 mb) after release the wind speeds are more realistic. The cause of this appears to be the acceptance of radiosonde position data prior to a "good lock" being achieved on the radiosonde by the tracking system. Thus there appear to be rapid positional shifts of the radiosonde while the tracking system "searches" for the radiosonde. 3.3.2 Wind Oscillations Despite the extensive efforts to remove oscillations in wind speeds caused by oscillations in elevation angles (see Section 2.2) there are occasional cases with remaining oscillations. Most of the remaining oscillations have periods just slightly longer than the 190 s maximum point of our notch filter. 4.0 References Ciesielski, P. E., R. H. Johnson, and J. Wang, 2009: Correction of Humidity Biases in Vaisala RS80-H Sondes during NAME. J. Atmos. Oceanic Technol., 26, 1763-1780. Loehrer, S. M., T. A. Edmands, and J. A. Moore, 1996: TOGA COARE upper-air sounding data archive: development and quality control procedures. Bull. Amer. Meteor. Soc., 77, 2651-2671. Loehrer, S. M., S. F. Williams, and J. A. Moore, 1998: Results from UCAR/JOSS quality control of atmospheric soundings from field projects. Preprints, Tenth Symposium on Meteorological Observations and Instrumentation, Phoenix, AZ, Amer. Meteor. Soc., 1-6. NWS, 1991: Micro-ART Observation and Rework Programs Technical Document, National Weather Service, National Oceanic and Atmospheric Administration, Washington, D.C., March 1991. Wade, C. G., 1995: Calibration and data reduction problems affecting National Weather Service radiosonde humidity measurements. Preprints, Ninth Symposium on Meteorological Observations and Instrumentation, Charlotte, NC, Amer. Meteor. Soc., 37-42. Williams, S. F., C. G. Wade, and C. Morel, 1993: A comparison of high resolution radiosonde winds: 6-second Micro-ART winds versus 10-second CLASS LORAN winds. Preprints, Eighth Symposium on Meteorological Observations and Instrumentation, Anaheim, California, Amer. Meteor. Soc., 60-65. Williams, S. F., S. M. Loehrer, and D. R. Gallant, 1998: Computation of high-resolution National Weather Service rawinsonde winds. Preprints, Tenth Symposium on Meteorological Observations and Instrumentation, Phoenix, AZ, Amer. Meteor. Soc., 387-391.