January 16, 2003
1:30 pm in 230 Bolz Hall
RAs & co-PI’s
Appendix A | Appendix B | Future Meetings

Attendees:

Absentees:

Dr. Ron Li is attending a meeting of the National Academy of Science.

Chung-Yen Kuo reported on the tide-gauge stations in Lake Erie. He noted there are 8 stations on the US coast and 7 stations on the Canadian coast. He computed the MLW, MLLW, MHW water levels for each station for 1999, 2000, and 2001 except two stations (Marblehead and Erie) because they don’t have 1999 data. He also computed the 1999-2001 MLW, MLLW, and MHW levels for each station.

Xutong Niu reported that he and Xian Xu have decided to use ArcObject and .Net C++ language to program the data accessing system. The advantage of ArcObject over the current MapObject tool is that it will add spatial data query and display manipulation functions inside. He also started examining and converting the Lake Erie data set in common data projection.

Ruijin Ma reported on the Tampa Bay data set. He mentioned that he looked for aerial photos in the Florida Department of Transportation. The purchase order is ready and will be sent. He is investigating the aerial photos available at NAPP for Tampa Bay. He reported on the assessment of the 3D IKONOS shoreline. The outlier elevations are due to either mismatching or trees on the shoreline.

Tarig Ali talked about the Painesville data set he recently obtained (see Appendix A).

Xian Xu reported that in the last two weeks he has continued to improve the program he is working on. It now supports data on an FTP server (previously, it worked only with an HTTP server). He obtained and installed ArcInfo Workstation on his computer and started familiarizing himself with ArcObject.

Vasilia Velissariou reported that she has created the yearly and overall mean water elevations for the years 2001, 2000 and 1999. The README file she created is in Appendix B.

Action List:

• OSU Mapping & GIS Lab
• Dr. Elaksher will work on the tide coordination problem.
• Ruijin Ma will work on gathering the Tampa Bay data and complete the 3D IKONOS shoreline analysis.
• Xutong Niu will design a web page for the research team to download data conveniently. He will also contact Xian Xu to complete the work on the data accessing system. Xutong will complete the data assessment task.

• Center for Mapping
• Tarig Ali will work on the erosion prediction system in Painesville.

• OSU Geodesy Lab
• Chung-Yen Kuo will work on generating the MLW, MLLW and MHW water surfaces for Lake Erie using the tide-gauge stations.

• Great Lakes Forecasting System Laboratory
• Vasilia Velissariou will work on generating the 5-year and 10-year water surfaces for Lake Erie.

• SUNY at Buffalo
• Xian Xu will continue working on generating the remote access system to the infrastructure coastal database using ArcObject.

• Future Meetings:
• The next RA meeting will be held Thursday, January 30
• The next co-PI and RA only meeting will be Thursday, February 13

Attachments

• Appendix A: DG Project Data Manipulation: Lake County, Ohio, Dataset by Tarig Ali (see separate file)
• Appendix B: README File for the Water Surfaces Generated by the GLFS Lab by Vasilia Velissariou

For more information, email: li.282@osu.edu

Appendix B: README
File for the Water Surfaces Generated by the GLFS Lab

This README file describes the format of the data generated from the GLFS model runs.

The data files can be found in the directory "outDIR".

The filenames of the data files follow the scheme:

mhhYYYY.dat, mllYYYY.dat, mwlYYYY.dat

mhhYYYY-YYYY.dat, mllYYYY-YYYY.dat, mwlYYYY-YYYY.dat

where: YYYY = four digit year (2000, 1999, ...)

mhh = mean high water level

mll = mean low water level

mwl = mean water level

The files mhhYYYY-YYYY.dat, ... represent the mean values for the years YYYY-YYYY (2001-1999 means average values for all three years 2001, 2000 and 1999), while the files mhhYYYY.dat, ... are simply representing the yearly averages.

Each file contains 209 x 57 = 11913 data points that is, 209 points in the longitudinal (x) direction and 57 in the lateral (y) direction, based on the 2km x 2km grid used.

The file(s) can be read with:

real tmparr(209, 57)

do j = 1, 57

do i = 1, 209

read(), tmparr(i, j)

end do

end do

Note: All the elevations are in meters. The value -999.0 represents those grid points that are on the land.

The mean high elevations were calculated by each day choosing the two highest values and taking the average of them and then by averaging these values over the whole year.

The file e_latlon.inp contains the latitude and longitude of the above grid points (first the latitudes and then the longitudes, one value per line). The longitude values are negative because this is the way my plotting program accepts them. If this is not true for your plotting package, just make them positive.