tech.netcdf — techascent/tech.netcdf 0.18

att->clj clj

(att->clj att)

attributes clj

(attributes netcdf)

dim->clj clj

(dim->clj dim)

dimensions clj

(dimensions netcdf)

distance-lerp-lat-lon-query clj

(distance-lerp-lat-lon-query {:keys [lat lng grid-latlngs grid-data]
                              :as query-data}
                             &
                             [options])

Return weighted average of all values by distance. If options contains :fill-value and one of the values is equal to the entry missing value, fill-value will be used instead. If fill value is not provided, then 0 is used. This will lower your average temp.

tech.netcdf> (distance-lerp-lat-lon-query (first query)) {:lat 21.145 :lng 237.307 :grid-data [{:missing-value ##NaN :fullname "Temperature_surface" :abbreviation "TMP" :level-desc "Ground or water surface" :level-type 1 :value 296.20944}]}

exact-match-lat-lon-query clj

(exact-match-lat-lon-query {:keys [lat lng row col x-idx-range y-idx-range
                                   grid-latlngs grid-data]
                            :as query-data}
                           &
                           [options])

Return the item that was the closest match to the distance query. If fill-value is provided in options then it will be used should the exact match be a missing value. Else the missing value will be returned. tech.netcdf> (exact-match-lat-lon-query (first query)) {:lat 21.145 :lng 237.307 :query-lat 21.14511133620467 :query-lng 237.30713946785917 :grid-data [{:missing-value ##NaN :fullname "Temperature_surface" :abbreviation "TMP" :level-desc "Ground or water surface" :level-type 1 :value 296.2293}]}

fname->netcdf clj

(fname->netcdf fname)

Open a netcdf file. The return value is tracked via 'tech.resource/track. If the user wishes to release the memory early they can call .close on the object.

lat-lon-query-gridsets clj

(lat-lon-query-gridsets gridsets
                        lat-lon-seq
                        &
                        {:keys [query-gridsize] :or {query-gridsize 3}})

Ignoring time, query a dataset by lat-lon. Example output:

({:lat 21.145, :lng 237.307, :grid-data [{:missing-value ##NaN, :fullname "Temperature_surface", :abbreviation "TMP", :level-desc "Ground or water surface", :level-type 1, :values ({:cell-lat 21.14511133620467, :cell-lng 237.30713946785917, :row 0, :col 1, :data 296.22930908203125} ...) ...])

named-item->map clj

(named-item->map named-item-seq)

netcdf->gridsets clj

(netcdf->gridsets netcdf
                  &
                  {:keys [time-axis z-axis fill-value]
                   :or {time-axis 0 z-axis 0}})

Return a sequence of gridsets. A gridset has a coordinate-space and a sequence of grids. Grids have a name, attributes, and a 2d tensor. When creating the gridset, you can choose the time-axis and the z-axis to choose. -1 means choose the entire dimension; defaults to 0 meaning all of the returned grids is 2 dimension. It should be safe to close the netcdf file after this operation.

overview clj

(overview netcdf)

test-cdl-file clj

test-nc-file clj

var->clj clj

(var->clj variable)

variables clj

(variables netcdf)