http://lod.bco-dmo.org/id/dataset/2297
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2010-06-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Broadscale physical and nutrient kriged data, five year summary from R/V Endeavor, R/V Albatross IV, R/V Oceanus in the Gulf of Maine and Georges Bank, WHOI from 1995-2004 (GB project)
2010-03-12
publication
2010-03-12
revision
BCO-DMO Linked Data URI
2010-03-12
creation
http://lod.bco-dmo.org/id/dataset/2297
Dr David Mountain
National Oceanic and Atmospheric Administration
principalInvestigator
David W. Townsend
University of Miami
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Mountain, D., Townsend, D. W. (2010) Broadscale physical and nutrient kriged data, five year summary from R/V Endeavor, R/V Albatross IV, R/V Oceanus in the Gulf of Maine and Georges Bank, WHOI from 1995-2004 (GB project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2010-03-12 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/2297 [access date]
Broadscale physical and nutrient kriged data, five year summary. Dataset Description: <p>Modeling study performed at WHOI using Broadscale cruise data. Thumbnail images of the broad-scale data, processed using kriging techniques, are displayed here. Clicking on the thumbnail image will open a new browser window displaying the original, large image. Matlab data files are also accessible on these pages by clicking on the appropriate link. Matlab data files are of kriged values for Georges Bank with 2385 grid points. Note that on some browsers it will be necessary to hold down the "shift key" before clicking on the link in order to download the data to a file. Otherwise the data are loaded into your browser. Unless your browser knows what to do with Matlab binary data, it is best to download the whole file.</p>
<p>Thumbnail images were created from the original Matlab generated images using the mogrify utility in a single batch operation prior to serving. The thumbnail image page, however, is created each time it is viewed so that the most recent images are incorporated in the served data.</p>
<p>These maps were created using EasyKrig 3.0 (D. Chu, WHOI, 2004, <a href="http://globec.whoi.edu/software/kriging/easy_krig/easy_krig.html" target="_blank"> http://globec.whoi.edu/software/kriging/easy_krig/easy_krig.html</a>) by Nancy Copley, WHOI. All data were treated anisotropically, i.e., the variable of interest changes more rapidly in one direction than in another, essentially stretching the effect. In this case the x:y ratio was 2:1 and the rotation was 45 degrees for alignment with the Bank. These parameters were chosen based upon known circulation and geography of Georges Bank. When plotting the station locations as circles on the maps, only those stations containing data are shown. Some datasets are quite sparse, e.g. ammonia at 50-100m.</p>
<p><strong>Nutrients:</strong> nitrates &amp; nitrites (NO3/NO2), ammonia (NH4), silica (SiOH4), phosphates (PO4) (Townsend et al, U. Maine):<br />
Data are available for 1997-1999, for January through June except:<br />
1997: no January or June data<br />
1998: no January data</p>
<p>The same colorbar range was used for the nutrient maps (nitrates/nitrites, ammonia, phosphates, silicates) as D. Townsend used in his plots, located on the GLOBEC website at: <a href="http://globec.whoi.edu/jg/info/globec/gb/nut_phyto%7Bdir=globec.whoi.edu/jg/dir/globec/gb/,data=grampus.umeoce.maine.edu/jg/serv/globec/nut_phyto.html0%7D?" target="_blank"> http://globec.whoi.edu/jg/info/globec/gb/nut_phyto%7Bdir=globec.whoi.edu/jg/dir/globec/gb/,data=grampus.umeoce.maine.edu/jg/serv/globec/nut_phyto.html0%7D?</a></p>
<p>Chlorophyll-a values for 1995-1996 (February through July 1995 and January through June 1996) are from the ctd_hydrography; the 1997-1999 data are from D. Townsend's nutrient data. The color range is given as both 0-6 and 0-10 in order to make both large and small scale variations more clearly visible.</p>
<p>Nutrient and chl-a data were averaged from 3 depth strata: 0-15m, 15-50m, and 50-100m. There were usually one or two bottle samples in each range.</p>
<p>Biovolume data from bongo net displacement volumes is from D. Mountain, Jack Green and Joe Kane, NMFS:<a href="http://globec.whoi.edu/jg/serv/globec/gb/broadscale/bongovols.html0%7Bdir=globec.whoi.edu/jg/dir/globec/gb/broadscale/,info=globec.whoi.edu/jg/info/globec/gb/broadscale/bongovols%7D" target="_blank">http://globec.whoi.edu/jg/serv/globec/gb/broadscale/bongovols.html0%7Bdir=globec.whoi.edu/jg/dir/globec/gb/broadscale/,info=globec.whoi.edu/jg/info/globec/gb/broadscale/bongovols%7D</a></p>
<p>Temperature, fluorometry, salinity and density stratification values were kriged from data provided by D. Mountain at <a href="http://globec.whoi.edu/jg/dir/globec/gb/broadscale/" target="_blank">http://globec.whoi.edu/jg/dir/globec/gb/broadscale/</a> under ctd_hydrography.</p>
<p>The density stratification was calculated by first finding the density of each station and depth for which there was a temperature and salinity using a Matlab mfile function called <a href="http://usjgofs.whoi.edu/globec-dir/software/sw_dens.m" target="_blank">sw_dens.m</a>. Then the mean density was calculated for the depth strata 0-15 meters and for 50-100 m. If the maximum depth of a station was less than 50 m, the mean of 25-50m was used as the deep value. The difference is the stratification index.</p> Methods and Sampling: <p>See cruise reports for information on original data used to create the kriged maps.</p>
<p>NOTE: There appears to be a decrease in the sensitivity of the fluorometer beginning in<br />
June 1997 (It may have begun earlier but the data is too variable to tell).<br />
It appeared to remain about the same until January of 1999 where it declined again<br />
and became only about 1/3 - 1/4 the sensitivity of what it was in 95 and 96.<br />
There does not appear to be a further change during 1999 although again it is hard<br />
to tell. (E.D.,8/05)</p>
Funding provided by National Science Foundation (NSF) Award Number: unknown GB NSF
Funding provided by National Oceanic and Atmospheric Administration (NOAA) Award Number: unknown GB NOAA
completed
Dr David Mountain
National Oceanic and Atmospheric Administration
508-495-2271
Woods Hole
MA
02543
USA
David.Mountain@noaa.gov
pointOfContact
David W. Townsend
University of Miami
207-581-4367
School of Marine Sciences 5741 Libby Hall
Orono
ME
04469-5741
USA
davidt@maine.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
biovol
chl_a
density
flvolt
NH4
NO3_NO2
PO4
sal
SiOH_4
temp
press
CTD profiler
theme
None, User defined
No BCO-DMO term
chlorophyll a
density
flvolt
Ammonium
nitrate plus nitrite
reactive phosphorus (PO4)
salinity
Silicate, Si(OH)4, silicic acid
water temperature at measurement depth
water pressure
featureType
BCO-DMO Standard Parameters
CTD - profiler
instrument
BCO-DMO Standard Instruments
EN276
lab_WHOI_broadscale_summary
EN261
EN263
EN265
AL9505
AL9506
AL9508
EN278
EN282
AL9607
AL9605
AL9701
OC317
EN319
OC322
AL9806
AL9808
AL9901
OC336
EN320
OC341
AL9904
AL9906
OC298
OC300
OC302
AL9705
AL9707
AL9801
OC275
service
Deployment Activity
Gulf of Maine and Georges Bank
WHOI
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
U.S. GLOBal ocean ECosystems dynamics
http://www.usglobec.org/
U.S. GLOBal ocean ECosystems dynamics
U.S. GLOBEC (GLOBal ocean ECosystems dynamics) is a research program organized by oceanographers and fisheries scientists to address the question of how global climate change may affect the abundance and production of animals in the sea.
The U.S. GLOBEC Program currently had major research efforts underway in the Georges Bank / Northwest Atlantic Region, and the Northeast Pacific (with components in the California Current and in the Coastal Gulf of Alaska). U.S. GLOBEC was a major contributor to International GLOBEC efforts in the Southern Ocean and Western Antarctic Peninsula (WAP).
U.S. GLOBEC
largerWorkCitation
program
U.S. GLOBEC Georges Bank
http://globec.whoi.edu/globec_program.html
U.S. GLOBEC Georges Bank
<p>The U.S. GLOBEC <a href="http://globec.whoi.edu/globec-dir/about_georges_bank.html">Georges Bank</a> Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, <a href="http://globec.whoi.edu/images/haddock103.07.gif">Haddock</a>, and two species of zooplankton (<a href="http://globec.whoi.edu/images/calanus-finmarchicus.html"><em>Calanus finmarchicus</em></a> and <a href="http://globec.whoi.edu/images/pseudocalanus.html"><em>Pseudocalanus</em></a>) - in terms of their coupling to the physical environment and in terms of their <a href="http://globec.whoi.edu/images/targetpp.gif">predators and prey</a>. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change.</p>
<p>The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc).</p>
<p>Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations.</p>
<p>The U.S. GLOBEC Georges Bank <a href="http://globec.whoi.edu/globec-dir/EXCO.html">Executive Committee (EXCO)</a> provides program leadership and effective communication with the funding agencies.</p>
GB
largerWorkCitation
project
eng; USA
oceans
Gulf of Maine and Georges Bank; WHOI
-70.5
-65.5
40
42.5
1995-01-01
2004-12-31
Georges Bank, Gulf of Maine, Northwest Atlantic Ocean
0
BCO-DMO catalogue of parameters from Broadscale physical and nutrient kriged data, five year summary from R/V Endeavor, R/V Albatross IV, R/V Oceanus in the Gulf of Maine and Georges Bank, WHOI from 1995-2004 (GB project)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/6486.rdf
Name: biovol
Units: cc/m2
Description: <p>Bongo net displacement volume </p>
http://lod.bco-dmo.org/id/dataset-parameter/6487.rdf
Name: chl_a
Units: milligrams per meter cubed (mg/m3) or micrograms per liter (g/l)
Description: <p>Chlorophyll-a pigment </p>
http://lod.bco-dmo.org/id/dataset-parameter/6488.rdf
Name: density
Units: density of deep (25-50m) minus density of shallow (0-15m)
Description: <p>Density stratification index </p>
http://lod.bco-dmo.org/id/dataset-parameter/6489.rdf
Name: flvolt
Units: volts
Description: <p>Fluorometer voltage measurement </p>
http://lod.bco-dmo.org/id/dataset-parameter/6490.rdf
Name: NH4
Units: microM (micromolar) or g-at NH3-N/l
Description: <p>Ammonium </p>
http://lod.bco-dmo.org/id/dataset-parameter/6491.rdf
Name: NO3_NO2
Units: microM (micromolar) or microgram-at NO3-N and NO2-N/l
Description: <p>Nitrate and Nitrite </p>
http://lod.bco-dmo.org/id/dataset-parameter/6492.rdf
Name: PO4
Units: microM (micromolar) or g-at PO4-P/l
Description: <p>Orthophosphate </p>
http://lod.bco-dmo.org/id/dataset-parameter/6493.rdf
Name: sal
Units: practical salinity units
Description: <p>Salinity </p>
http://lod.bco-dmo.org/id/dataset-parameter/6494.rdf
Name: SiOH_4
Units: Si(OH)4 microM(micromolar) or g-at Si(OH)4-Si/l
Description: <p> Orthosilicic Acid </p>
http://lod.bco-dmo.org/id/dataset-parameter/6495.rdf
Name: temp
Units: degrees Centigrade
Description: <p>Temperature </p>
http://lod.bco-dmo.org/id/dataset-parameter/6496.rdf
Name: press
Units: decibars
Description: <p>Pressure </p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
8268
https://datadocs.bco-dmo.org/file/qAAoEqXHO10BBp/broadscale_summary.csv
broadscale_summary.csv
Primary data file for dataset ID 2297
download
https://osprey.bco-dmo.org/dataset/2297/data/download
download
onLine
dataset
<p>See cruise reports for information on original data used to create the kriged maps.</p>
<p>NOTE: There appears to be a decrease in the sensitivity of the fluorometer beginning in<br />
June 1997 (It may have begun earlier but the data is too variable to tell).<br />
It appeared to remain about the same until January of 1999 where it declined again<br />
and became only about 1/3 - 1/4 the sensitivity of what it was in 95 and 96.<br />
There does not appear to be a further change during 1999 although again it is hard<br />
to tell. (E.D.,8/05)</p>
from Deployment: lab_WHOI_broadscale_summary <p>Modeling study performed at WHOI using Broadscale cruise data</p>
Specified by the Principal Investigator(s)
<h4>VARIABLE STRUCTURE</h4>
<p>There are two structures: "para" and "data", where structure "para" contains all parameters including "load data", "variogram", "kriging", and "display", and structure "data" contains the input ("in")and output data ("out") structures.</p>
<p>&nbsp;</p>
<table border="0" cellspacing="0" style="width:99%">
<tbody>
<tr>
<td colspan="4">1. PARAMETERS</td>
</tr>
<tr>
<td colspan="3">VARIABLE NAME</td>
<td>DESCRIPTION</td>
</tr>
<tr>
<td>para</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>Parameters Structure</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.home_dir</td>
<td>&nbsp;</td>
<td>home directory</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.optim</td>
<td>&nbsp;</td>
<td>flag of optimization tool box</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.dataprep</td>
<td>&nbsp;</td>
<td>Data Preparation parameters</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.filename</td>
<td>input filename</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.fileID</td>
<td>File ID for the data set</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.x_norm</td>
<td>normalization factor for variable 1</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.y_norm</td>
<td>normalization factor for variable 2</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.z_norm</td>
<td>normalization factor for variable 3</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.x_offset</td>
<td>coordinate offset for variable 1</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.y_offset</td>
<td>coordinate offset for variable 2</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.z_offset</td>
<td>coordinate offset for variable 3</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.latlonfac</td>
<td>conversion factor between longitude/latitude (deg) and x/y (length)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.reduct_fac</td>
<td>data reduction factor</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.filter_type</td>
<td>filter type</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.filter_supt</td>
<td>filter support</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.transform_index</td>
<td>index of data transformation model</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.vario</td>
<td>&nbsp;</td>
<td>(Semi-)Variogram/Correlogram parameters</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.model</td>
<td>model index of variogram/correlogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.sill</td>
<td>sill</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.lscl</td>
<td>relative length scale</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.nugt</td>
<td>nugget</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.powr</td>
<td>power</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.hole</td>
<td>scale of hole effect</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.range</td>
<td>range of modeling</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.res</td>
<td>resolution of the lag</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.angle</td>
<td>anisotrophy angle</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ratio</td>
<td>anisotrophy aspect ratio</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ang_res</td>
<td>angle resolution of 2D variogram/correlogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.para_file</td>
<td>parameter filename</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.krig</td>
<td>&nbsp;</td>
<td>Kriging parameters</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.xmin</td>
<td>minimum x-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.xmax</td>
<td>maximum x-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.dx</td>
<td>resolution in x direction</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ymin</td>
<td>minimum y-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>
<p>.ymax</p>
</td>
<td>maximum y-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.dy</td>
<td>resolution in y direction</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.zmin</td>
<td>minimum z-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.zmax</td>
<td>maximum z-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.dz</td>
<td>resolution in z direction</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.model</td>
<td>kriging model index</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.scheme</td>
<td>kriging scheme index</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.blk_nx</td>
<td>horizontal block size (only for point-block kriging)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.blk_ny</td>
<td>vertical block size (only for point-block kriging)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.srad</td>
<td>kriging search radius</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.kmin</td>
<td>minimum kriging points</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.kmax</td>
<td>maximum kriging points</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.elim</td>
<td>&nbsp;relative error limit</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.batch_file_proc</td>
<td>flag for batch file processing</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.batch_data_file</td>
<td>file that contains a list of input data filename(s) for batch processing</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;.grid_file</td>
<td>filepath and filename of the customized grid file</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
</tbody>
</table>
<table border="0" cellspacing="0" style="width:98%">
<tbody>
<tr>
<td colspan="5">
<p>2. OUTPUT AND INPUT DATA</p>
</td>
</tr>
<tr>
<td colspan="3">VARIABLE NAME</td>
<td>&nbsp;</td>
<td>DESCRIPTION</td>
</tr>
<tr>
<td>data</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>Data Structure</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.in</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>Input data</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.dim</td>
<td>&nbsp;</td>
<td>dimension of the input data</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;.var1</td>
<td>&nbsp;</td>
<td>x-coordinates of raw data after duplicated data and nan's removed</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;.var2</td>
<td>&nbsp;</td>
<td>y-coordinates of raw data after duplicated data and nan's removed</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;.var3</td>
<td>&nbsp;</td>
<td>z-coordinates of raw data after duplicated data and nan's removed</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.var</td>
<td>&nbsp;</td>
<td>raw data after duplicated data and nan's removed</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.x</td>
<td>&nbsp;</td>
<td>x - coordinates after initial manipulation (reduction, normalization)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.y</td>
<td>&nbsp;</td>
<td>y - coordinates after initial manipulation (reduction, normalization)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.z</td>
<td>&nbsp;</td>
<td>z - coordinates after initial manipulation (reduction, normalization)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.v</td>
<td>&nbsp;</td>
<td>data after initial data processing (reduction)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.tvar</td>
<td>&nbsp;</td>
<td>transformed data from data.in.var.</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.tv</td>
<td>&nbsp;</td>
<td>transformed data from data.in.v</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>.out</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>Output data</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.vario</td>
<td>&nbsp;</td>
<td>Data output from semi-variogram/correlogram computation</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.c0</td>
<td>variance</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.lag</td>
<td>lag of semi-variogram (correlogram)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gammah</td>
<td>semi-variogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.cnt</td>
<td>count of data pairs at each lag</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ang</td>
<td>angle array for 2D semi-variogram/correlogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.x</td>
<td>x-axis of 2D semi-variogram/correlogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.y</td>
<td>y-axis of 2D semi-variogram/correlogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.lag_theo</td>
<td>lag used in model-based variogram/correlogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gammah_theo</td>
<td>model-based semi-variogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gammah2d</td>
<td>2D semi-variogram</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.krig</td>
<td>&nbsp;</td>
<td>Data output from kriging</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.nx</td>
<td>output data dimension: nx * ny for 2D and nx * ny * nz for 3D</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ny</td>
<td>output data dimension: nx * ny for 2D and nx * ny * nz for 3D</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.nz</td>
<td>output data dimension: nx * ny * nz for 3D</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.xg</td>
<td>normalized grided x-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.yg</td>
<td>normalized grided y-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.zg</td>
<td>normalized grided z-coordinate</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gx</td>
<td>normalized grided x-coordinates for customized grids</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gy</td>
<td>normalized grided y-coordinates for customized grids</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gz</td>
<td>normalized grided z-coordinates for customized grids</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Xg</td>
<td>2D/3D x-coordinate matrix</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Yg</td>
<td>2D/3D x-coordinate matrix</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Zg</td>
<td>2D/3D x-coordinate matrix</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Vg</td>
<td>2D/3D data from kriging at (Xg, Yg)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Eg</td>
<td>2D/3D kriging variance at (Xg,Yg)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Ig</td>
<td>reshaped 1D representation of the 2D/3D variable Cg</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.eg</td>
<td>reshaped 1D representation of the 2D/3D variable Eg</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.gv</td>
<td>kriging results at the customized grids (gx, gy, gz)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ge</td>
<td>kriging variance at the customized grids (gx, gy, gz)</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Is</td>
<td>predicted observed data from Double Kriging cross-validation</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.Ijk</td>
<td>predicted observed data from leave-one-out cross-validation</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.ek</td>
<td>normalized residual array in Q1 and Q2 cross-validations</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.q1</td>
<td>value of Q1 cross validation</td>
</tr>
<tr>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>.q2</td>
<td>value of Q2 cross validation</td>
</tr>
</tbody>
</table>
<p>3. Example<br />
To plot the kriging map using your own program, load the output file saved<br />
from easy_krig3.0 and then type:</p>
<p>&gt;&gt;pcolor(data.out.krig.Xg,data.out.krig.Yg,data.out.krig.Cg);<br />
&gt;&gt;colorbar;shading interp</p>
<p>to plot a kriging image, or</p>
<p>&gt;&gt;pcolor(data.out.krig.Xg,data.out.krig.Yg,data.out.krig.Eg);<br />
&gt;&gt;colorbar;shading interp</p>
<p>to plot the kriging variance image. The structured variable "data.out.krig.Xg" means "out" is a substructure under "data", "krig" is a substructure of "out", and "Xg" is a member (2d array) of the substructure "krig". All substructures and members of the primary structures "data" and "para" are listed and explained above (note that only part of those parameters may be useful to the users).</p>
<p><em>Last modified: May 18, 2005</em></p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
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For questions regarding this resource, please contact BCO-DMO via the email address provided.
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