20150902
23592500
1.0
FGDC CSDGM Metadata
FALSE
ExtractByMask C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island\ha_anom_m C:\Workspace\OTP\EnvDrivers\Mask\Mask_gcs84_SplitByIsland\ha.shp C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\ha_anom_m
CopyRaster C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\ha_anom_m C:\Workspace\OTP\EnvDrivers\Final\EnvDrivers_gcs.gdb\ha_anom_m # # -3.402823e+038 NONE NONE # NONE NONE
Mosaic C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\ka_anom_m;C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\kh_anom_m;C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\la_anom_m;C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\ma_anom_m;C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\mo_anom_m;C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\ni_anom_m;C:\Workspace\OTP\EnvDrivers\MGETout\Wave_by_island_ext\oa_anom_m C:\Workspace\OTP\EnvDrivers\Final\EnvDrivers_gcs.gdb\Waves_anom_max LAST FIRST # # NONE 0 NONE
ProjectRaster C:\Workspace\OTP\EnvDrivers\Final\EnvDrivers_gcs.gdb\Waves_anom_max C:\Workspace\OTP\EnvDrivers\Final\EnvDrivers_FINAL.gdb\Waves_anom_max PROJCS['NAD_1983_UTM_Zone_4N',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['false_easting',500000.0],PARAMETER['false_northing',0.0],PARAMETER['central_meridian',-159.0],PARAMETER['scale_factor',0.9996],PARAMETER['latitude_of_origin',0.0],UNIT['Meter',1.0]] NEAREST C:\Workspace\OTP\EnvDrivers\Mask\Mask_5kmOcean_1kmLand_NADutm4.tif WGS_1984_(ITRF00)_To_NAD_1983 # GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433],METADATA['World',-180.0,-90.0,180.0,90.0,0.0,0.0174532925199433,0.0,1262]]
CopyRaster C:\Users\Jessica\Desktop\COS\OceanTippingPoints\Data\OTP_Environmental_Drivers.gdb\WAV_ANOM_M C:\Users\Jessica\Desktop\COS\OceanTippingPoints\Data\EnviroGeoTIFFs\WAV_ANOM_M.tif # # 255 NONE NONE # NONE NONE TIFF NONE
WAV_ANOM_M.tif
362124.488586
949624.488586
2083730.666079
2470730.666079
1
file://C:\Users\jessw\Desktop\COS\OceanTippingPoints\Data\EnviroGeoTIFFs\WAV_ANOM_M.tif
Local Area Network
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.4'><WKT>PROJCS["NAD_1983_UTM_Zone_4N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-159.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26904]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26904</WKID><LatestWKID>26904</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_UTM_Zone_4N
64
FALSE
LZW
1
TIFF
TRUE
continuous
double precision
255
20170304
18535900
20170304
18535900
FGDC
150000000
500000
external
8999f57aaf36f71f2a737729672e07f5
Carrie Kappel
National Center for Ecological Analysis and Synthesis
Primary Investigator
Santa Barbara
CA
kappel@nceas.ucsb.edu
Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway.
True
Carrie Kappel
This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions.
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:7 0 7 0;"><SPAN>Wave power is a major environmental forcing mechanism in Hawai‘i that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawai’i is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months.This layer represents the annual average the maximum anomaly of Wave power (kW/m) from 2000 – 2013. Data were obtained from the School of Ocean and Earth Science and Technology, University of Hawai‘i at Manoa SWAN model (Simulating WAves Nearshore) following Li et al., (2016). </SPAN></P><P STYLE="margin:7 0 7 0;"><SPAN /></P><P STYLE="margin:0 0 0 0;"><SPAN>Li, N., Cheung, K.F., Stopa, J.E., Hsiao, F., Chen, Y.-L., Vega, L., and Cross, P. 2016. Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100:78-95.</SPAN></P></DIV></DIV></DIV>
Wave Power Average Annual Maximum Anomaly
2016-03-31T00:00:00
Carrie Kappel
National Center for Ecological Analysis and Synthesis
Primary Investigator
Santa Barbara
CA
kappel@nceas.ucsb.edu
Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway.
external
2abe3f5bd45c066fc2f4a8b86dd3cee
Kim Selkoe
National Center for Ecological Analysis and Synthesis
Santa Barbara
CA
selkoe@nceas.ucsb.edu
Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway.
True
Kim Selkoe
Ocean Tipping Points
environmental driver
oceanographic driver
coastal impacts
coral reef
waves
wave power
Ground condition
Hawaii
Main Hawaiian Islands
The Ocean Tipping Points project, 2016. (Please acknowledge the Ocean Tipping Points project as a source when this data is used in the preparation of reports, papers, publications, maps, and other products.)
external
8999f57aaf36f71f2a737729672e07f5
Carrie Kappel
National Center for Ecological Analysis and Synthesis
Primary Investigator
Santa Barbara
CA
kappel@nceas.ucsb.edu
Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway.
True
Carrie Kappel
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, </SPAN><A href="http://oceantippingpoints.org/our-work/publications"><SPAN>Wedding et al. 2017</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV>
Lineage statement here?
Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686
1
-160.338832
-154.638342
22.342436
18.796702
Raster Dataset
dataset
EPSG
6.13(3.0.1)
Pixel
774
1175
500.000000
500.000000
64
1
Upper Left
FALSE
NONE
1
pixel codes
FGDBR
FALSE
row and column
500.000000
500.000000
20170304
Analysis performed in Matlab and ArcGIS 10.1
The Average Annual Maximum Anomaly product was calculated by taking the average of the annual maximum wave power values in exceedance of the maximum monthly climatological wave power from 2000 – 2013 for each 500 m grid cell.
Raw hourly, 500 m Wave Power data were provided by the School of Ocean and Earth Science and Technology (SOEST), University of Hawai‘i at Manoa. SWAN model (Simulating WAves Nearshore) runs (see Li et al., 2016) were converted to maximum daily from 1979 - 2013 and then averaged over each month from 1979 – 2013 creating a monthly time series from which monthly climatologies were made. Time series of anomalies were calculated by quantifying the number and magnitude of events from the maximum daily data set that exceeded the maximum climatological monthly mean during 2000-2013. Pixels were removed directly adjacent to coastline owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS, then converting points to raster.
Li, N., Cheung, K.F., Stopa, J.E., Hsiao, F., Chen, Y.-L., Vega, L., and Cross, P. 2016. Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100:78-95.
2
1
0
362124.488586 2083730.666079
362124.488586 2470730.666079
949624.488586 2470730.666079
949624.488586 2083730.666079
655874.488586 2277230.666079
1175
500.000000
774
500.000000
Band_1
446.840348
0.002515
64