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GLOSS Training Workshop Course

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GLOSS Training Workshop Course. Japan Meteorological Agency ... Unzip: slpaq2 -d. Directory Tree SLPR2 | |--DIN {data information files} | |--DMT {manual} ... – PowerPoint PPT presentation

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Title: GLOSS Training Workshop Course


1
GLOSS Training Workshop Course Japan
Meteorological Agency May 15-26, 2006
Sea Level Data Processing with SLPR2 1.
Introduction
2
Sea Level Processing Software (SLPR2)
http//ilikai.soest.hawaii.edu/UHSLC/jaslsoft2.
html
motivation TOGA Program (1988) GLOSS-endorsed
(1991)
Previous Courses
Brazil, 1993 India, 1995 Caribbean,
1997 Guatemala, 2001 Chile, 2003 India,
2005 Panama, 2005
3
Introduction to SLPR2
Three most important points to remember
Make copies of original data files Keep the
manual at hand Email questions to Patrick
Caldwell, caldwell_at_hawaii.edu
4
SLPR2 General Features
  • Basis of Processing and Quality Control aimed
    at HOURLY data
  • Includes M.Foreman Tidal Analysis and
    Prediction Programs
  • SLPR2 simplifies use of Foreman software
  • SLPR2 fixed for data at hourly intervals
  • -provides output option for Hi-Lo tide
    predictions (tide table)
  • -primary use of predicted tides is for quality
    control

Uses PLOT88 graphical package SLPR2 filter
computes daily and monthly values
5
System Requirements
DOS systems - most routines can be initiated
from Windows - a few programs require using
the MS DOS prompt window Requires about 4
megabytes of disk space Output of plot programs
to a range of printers or to a PostScript file
Need text editor to perform various tasks
Participant Background
  • Assume some experience with sea level data
  • Assume some experience with personal computers

6
Basic Scheme of SLPR2
Set up information about your station Convert
your format to SLPR2 format for hourly
data Monthly files Tide staff readings
comparisons Calibration Yearly files
Make copy of original data Plot Hourly Data
Choose time period for tidal analysis
Run tidal analysis -gt harmonic constituents
Run tidal predictions for each year of data
Calculate residuals (hourly data minus predicted
tides) Plot residuals Perform
corrections as necessary Make backup copies
of finalized hourly data Filter hourly data to
daily and monthly values Plot daily and monthly
data Compare daily and monthly data to nearby
stations
7
Installation of Software
  • Download from http//ilikai.soest.hawaii.edu/UHS
    LC/jaslsoft2.html
  • (or require via diskette or CDROM)
  • On C drive, make directory mkdir slpr2
  • Place file slpaq2.exe (self-extracting zip file)
    on c\slpr2
  • From MS DOS Prompt window cd \slpr2
  • Unzip slpaq2 -d

8
Directory Tree
\SLPR2 --\DIN data information files
--\DMT manual --\DAT data files
--\PRD predicted tide files --\CAL
calibration data files --\TIDE
---\ANA tidal analysis ---\PRD
tidal prediction ---\HARM harmonic
constituents --\PLOT plotting software
--\QC quality control --\FILT
filtering software --\UTIL utility
programs --\SAMP sample data
--\SRC source code under most directories
9
Station Information File Setup
Appendix E.1
Assign 3-digit station number Name,
position, time zone, 24-hour time scheme Plot
factor for for hourly data (depends on tide range)
Example station name latitude longitude
mer S start date country P 001 Ponape
06 59N 158 14E 165 1 Apr 1974
Micronesia 2 002 Tarawa,Betio 01 22N 172
56E 180 1 May 1974 Kiribati 2
10
Filename Conventions
Manual Section 1.5, Appendix D
Hourly Data Files Grouped by Year CVSSSYY.DAT
C century (U1800-1899, V1900-1999,
W2000-2099) V file version (letters A-Z)
SSS station number YY the last two
digits of the year Hourly data files grouped by
month VSSSYYMM.DAT V fixed, always V
MM numeric month (this is only used in the
calibration stage)
eg, VA03299.DAT
Hourly Predicted Tides Files Grouped by Year
CVSSSYY.DAT C century (O1800-1899,
P1900-1999, Q2000-2099)
eg, PA03299.DAT
Daily and Monthly Data All Years in One File
TVSSS.DAT T type, D (daily) or M (monthly)
eg, DA032.DAT MA032.DAT
11
Hourly Data File Format
Appendix D.1
Notes 1) one year of data per file
2) one header per month 3) one footer
per month (line of 99999999s) 4) two
lines (records) per day 5) missing
data indicator 9999 6) utility
\slpr2\util\FILLVM.EXE can be used to make
blocks of missing data flags (by
month)
Example 003BALTRA LAT00 26.8S LONG090 17.2W
TMZONEGMT REF00000 60 APR 85 M 30 003BALTRA
1985 4 11 1492 1668 1879 2054 2152 2161 2067 1890
1663 1445 1285 1218 003BALTRA 1985 4 12 1266
1431 1667 1921 2123 2235 2230 2097 1893 1650 1432
1299 . . 999999999999999999999999999999999
9999999999999999999999999999999999999999 999999999
99999999999999999999999999999999999999999999999999
99999999999999
12
Convert to SLPR2 Format for Hourly Data
Manual Section 2.1, Appendix E.3
Step 1. Convert from original format to a simple
format per line as year month
day hour data if original data not
hourly, suggest Hanning filter of weights
25-50-25 Step 2.
Edit \slpr2\din\DTDCNV.DIN and enter position
information for the
parameters Step 3. Run utility,
\slpr2\util\DTDCNV.EXE Step 4. Inspect the
output using a text editor, compare to input.
13
Plot Program for Hourly Data
Manual Section 3.1
  • Recall Station Information File,
    \slpr2\din\STAINFO.DIN
  • Data file must be in directory \slpr2\dat
  • Run \slpr2\plot\HOURYR.EXE
  • (from Windows or MS DOS prompt)
  • interactive input (filename, scale, output)
  • 4. May have to adjust \slpr2\PLOTSIZ.DIN or the
    plot factor
  • in \slpr2\STAINFO.DIN
  • 5. This program can be used for observed hourly
    data,
  • residuals, and predicted tides

14
  • First Assignment for Hands-On Training Session
  • (HOTS)
  • Load SLPR2 onto computer
  • Copy c\slpr2\samp\va0038?.dat to c\slpr2\dat
  • (if you have your own data, convert format
  • to SLPR2 and place in \slpr2\dat)
  • Inspect station information in
  • c\slpr2\din\stainfo.din
  • (if you have your own data, assign a number
  • in \slpr2\din\stainfo.din)
  • 4. Plot data (c\slpr2\plot\houryr)
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