INSTITUTE FOR FISHERIES RESOURCES GIS TECHNICAL WORK GROUP -- GIS METADATA LIBRARY: Sonomarin COVERAGE NAME: goga_wq_temps.shp METADATA FILE: goga_wq_temps.shp.txt METADATA FILE DATE: November 7, 2002 METADATA PREPARER: Eli Asarian Institute for Fisheries Resources (IFR) 791 Eighth Street Ste. N Arcata, CA 95521 (707) 822-9428 COVERAGE DESCRIPTION: This shapefile shows National Park Service temperature and water quality monitoring stations for the Golden Gate National Recreation Area (GOGA) in Marin County, California for the years 1995-2001. Sites are on the streams Redwood Creek, Laurel Creek, Eskoot Creek. This shapefile contains only the sites that KRIS was able to acquire data for, it is not necessarily a comprehensive list of all temperature monitoring sites in GOGA for the years listed. Methods: Most point features (all except RED_MBC, see below) were created in ArcView by using the "add point" tool to create point features by plotting them on top of images of 1:24,000 USGS topographic maps. Locations for Redwood Creek sites came from a map contained in the report, "STREAM HABITAT and BENTHIC MACROINVERTEBRATE INVENTORY, REDWOOD CREEK, MARIN COUNTY, CALIFORNIA" by Darren Fong, National Park Service, Golden Gate National Recreation Area, Division of Natural Resource Management and Science. June 2002. This map showed points on top of a map. The location for the point RED_MBC came from the Landmark #16 from the shapefile creek_landmarks.shp, which was produced by GOGA. Locations for Eskoot and Laurel Creek sites came from a map contained in the report "FISHERIES ASSESSMENT FOR BOLINAS LAGOON TRIBUTARIES WITHIN THE GOLDEN GATE NATIONAL RECREATION AREA, 1995-2000" by Darren Fong, National Park Service, Golden Gate National Recreation Area, Division of Natural Resource Management and Science. February, 2002. This map showed points on top of a 1:24,000 USGS topographic map. The temperature data (MWATs) in the attribute table (described below in data dictionary) was derived from KRIS source tables. Data was collected by GOGA. VITAL STATISTICS: Datum: NAD 27 Projection: UTM Units: Meters 1st Std. Parallel: 34 00 00 (34.0 degrees N) 2nd Std. Parallel: 40 30 00 (40.5 degrees N) Longitude of Origin: -120 00 00 (120.0 degrees W) Latitude of Origin: 00 00 00 (0.0 degrees) False Easting (X shift): 0 False Northing (Y shift): 0 Source: see notes above Data Structure: Vector (point) DATA DICTIONARY: NOTE: Items common to all ARC/INFO coverages: LENGTH, AREA, PERIMETER COVER_ (#), and COVER _ID (-ID) are not described here. Structure for attribute table Column Column name 2 LOCATION 3 DESCRIPTN 4 SITE_TYPE 5 MWAT16PT8 6 MWAT_1995 7 MWAT_1996 8 MWAT_1997 9 MWAT_1998 10 MWAT_1999 11 MWAT_2000 12 MWAT_2001 13 MWAT_2002 LOCATION: This field contains the location code used in the KRIS chart and source tables that contain the temperature and water quality data. DESCRIPTION: The creek on which the the temperature/WQ monitoring station was located, and the location along the creek. SITE_TYPE: Indicates what data was collected at the monitoring site. MWAT16PT8: Of the years in which data was collected, how often did MWAT exceed 16.8 °C? The significance of 16.8 °C is described in the KRIS Temperature background page at www.krisweb.com. MWAT_YEAR: The maximum annual floating weekly average water temperature (in °C) for each year in which data was collected during at least the majority of the summer months. MWAT values were derived from source tables (wq_goga_2000source.DB, tempraw_goga_95_01.dbf) of raw temperature data using KRIS, MS Access, and MS Excel. A detailed description of methods is contained in the file "Directions for building MWAT source table.txt" in the "KRIS_Tools" folder at the IFR - KRIS office in Arcata. Data was collected by GOGA. DATA QUALITY ASSESSMENT: Unknown, it depends on the accuracy of the paper maps this layer was created from. The accuracy of converting the digital non-GIS maps to GIS points should be within approximately 5-10 meters?, given the high quality (1:24,000 topo) of the base layer of the source map. Actual accuracy is most likely within 20-30m.