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Dataset Title:	Model output statistical downscale Hawaii delta-t RCP45 100m 2070-2099
Institution:	APDRC (Dataset ID: hawaii_soest_2f23_3aba_f28c)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	1	(just one value)

latitude (degrees_north)	2994	0.001178765 (even)

longitude (degrees_east)	4468	0.001178765 (even)

Grid Variables (which always also download all of the dimension variables)
mean (surface air temperature anomaly)
ensvar (error variance due to ensemble model spread)
scalevar (error variance due to scaling function)
lower (mean-2*stddev)
upper (mean+2*stddev)
min (ensemble min (with -2*scaling error added))
max (ensemble max (with +2*scaling error added))

File type: more info
Documentation / Bypass this form

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.6291456e+9, 3.6291456e+9;
    String axis "T";
    String calendar "GREGORIAN";
    String direction "L";
    String ioos_category "Time";
    String long_name "Time";
    String point_spacing "even";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 18.79824577335, 22.32628853065;
    String axis "Y";
    String direction "J";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -159.83411367165, -154.56857174138;
    String axis "X";
    String direction "I";
    String ioos_category "Location";
    String long_name "Longitude";
    String modulo "yes";
    Int32 modulo_length 360;
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  mean {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String direction "IJL";
    String ioos_category "Temperature";
    String long_name "surface air temperature anomaly";
    Float32 missing_value -1.0e+34;
  }
  ensvar {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String direction "IJL";
    String ioos_category "Statistics";
    String long_name "error variance due to ensemble model spread";
    Float32 missing_value -1.0e+34;
  }
  scalevar {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String direction "IJL";
    String ioos_category "Statistics";
    String long_name "error variance due to scaling function";
    Float32 missing_value -1.0e+34;
  }
  lower {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String direction "IJL";
    String ioos_category "Statistics";
    String long_name "mean-2*stddev";
    Float32 missing_value -1.0e+34;
  }
  upper {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String direction "IJL";
    String ioos_category "Statistics";
    String long_name "mean+2*stddev";
    Float32 missing_value -1.0e+34;
  }
  min {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String direction "IJL";
    String ioos_category "Statistics";
    String long_name "ensemble min (with -2*scaling error added)";
    Float32 missing_value -1.0e+34;
  }
  max {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String direction "IJL";
    String ioos_category "Statistics";
    String long_name "ensemble max (with +2*scaling error added)";
    Float32 missing_value -1.0e+34;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "APDRC";
    String creator_type "institution";
    String creator_url "http://apdrc.soest.hawaii.edu/thredds/dodsC/las/sd5_delta-t_100m/data_apdrc.soest.hawaii.edu_dods_public_data_Model_output_statistical_downscale_Hawaii_delta-t_RCP45_100m_2070-2099.jnl.html";
    Float64 Easternmost_Easting -154.56857174138;
    Float64 geospatial_lat_max 22.32628853065;
    Float64 geospatial_lat_min 18.79824577335;
    Float64 geospatial_lat_resolution 0.0011787647034079518;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -154.56857174138;
    Float64 geospatial_lon_min -159.83411367165;
    Float64 geospatial_lon_resolution 0.0011787647034407858;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-04-05T05:44:45Z http://apdrc.soest.hawaii.edu/thredds/dodsC/las/sd5_delta-t_100m/data_apdrc.soest.hawaii.edu_dods_public_data_Model_output_statistical_downscale_Hawaii_delta-t_RCP45_100m_2070-2099.jnl
2025-04-05T05:44:45Z http://apdrc.soest.hawaii.edu/erddap/griddap/hawaii_soest_2f23_3aba_f28c.das";
    String infoUrl "http://apdrc.soest.hawaii.edu/thredds/dodsC/las/sd5_delta-t_100m/data_apdrc.soest.hawaii.edu_dods_public_data_Model_output_statistical_downscale_Hawaii_delta-t_RCP45_100m_2070-2099.jnl.html";
    String institution "APDRC";
    String keywords 
"+2*scaling, -2*scaling, 100m, 2*stddev, 2070-2099, added, air, anomaly,
apdrc.soest.hawaii.edu, data, delta, delta-t, dods, downscale, due, earth,
ensemble, ensvar, error, function, hawaii, latitude, longitude, lower, max,
mean, mean+2*stddev, mean-2*stddev, min, model, ocean, output, public, rcp45,
scalevar, scaling, school, science, soest, spread, statistical, statistics,
surface, technology, temperature, time, upper, variance, with";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 22.32628853065;
    String sourceUrl "http://apdrc.soest.hawaii.edu/thredds/dodsC/las/sd5_delta-t_100m/data_apdrc.soest.hawaii.edu_dods_public_data_Model_output_statistical_downscale_Hawaii_delta-t_RCP45_100m_2070-2099.jnl";
    Float64 Southernmost_Northing 18.79824577335;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Model output statistical downscale Hawaii delta-t RCP45 100m 2070-2099";
    String time_coverage_end "2085-01-01T00:00:00Z";
    String time_coverage_start "2085-01-01T00:00:00Z";
    String title "Model output statistical downscale Hawaii delta-t RCP45 100m 2070-2099";
    Float64 Westernmost_Easting -159.83411367165;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface
temperature data from a satellite), via a specially formed URL. griddap uses the
OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection constraints (external link)

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file
type for the response.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by
hand or with a computer program or script.

griddap request URLs must be in the form
https://apdrc.soest.hawaii.edu/erddap/griddap/datasetID.fileType{?query}
For example,
https://apdrc.soest.hawaii.edu/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2015-06-09T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a variable name (e.g., analysed_sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.

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