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where reftime is the model run time dimension, and time1 is the forecast valid time dimension.
Specifying a time range on the NCSS query (resulting in an NCSS query with time_start and time_end) will not give you what you'd expect (whatever your expectation is...not sure what it should be). For example:
That is, the seven forecast times between 2019-07-16 0Z and 2019-07-17 12Z from the 2019-07-15 12Z run of the HRRR CONUS 2.5km collection. Why seven? Each run of the HRRR has 18 hours of hourly output, so the 12Z run on the 15th should only have data from 2019-07-15 12Z through 2019-07-16 6Z, thus only 7 forecast times are available between the times requested.
A second new parameter, timeOffset, can be used as well, but only in combination with runtime. So, if we request:
In this case, we have the forecast valid at "valid forecast time" coordinate 2 from the 2019-07-15 12z run of the HRRR (in this case, 2 hours into the run).
In theory, runtime can be "all", but that's not working. In the query above, that would give us all of the 2 hour old forecasts from all of the model runs.
More generally, the rules for the time, runtime, and timeoffset parameters should follow those outlined here under 2D Time subsetting
Ensemble datasets
In addition to the new 2D time parameters, we also have ensCoord, which allows you to select a single ensemble coordinate (index) for a dataset with an ensemble dimension. So, if we add ensCoord=3 to a request query for a dataset with an ensemble dimension, we should get the data back from the third ensemble member only.
The text was updated successfully, but these errors were encountered:
In TDS v5, the NCSS API has been extended with parameters related to 2D time datasets and ensemble dataset.
2D time datasets
For example:
https://thredds-test.unidata.ucar.edu/thredds/catalog/grib/NCEP/HRRR/CONUS_2p5km/catalog.html?dataset=grib/NCEP/HRRR/CONUS_2p5km/TwoD
As an example here, the variable
Temperature_isobaric
looks likewhere
reftime
is the model run time dimension, andtime1
is the forecast valid time dimension.Specifying a
time
range on the NCSS query (resulting in an NCSS query withtime_start
andtime_end
) will not give you what you'd expect (whatever your expectation is...not sure what it should be). For example:https://thredds-test.unidata.ucar.edu/thredds/ncss/grid/grib/NCEP/HRRR/CONUS_2p5km/TwoD?var=Temperature_isobaric&north=52.818&west=-130.123&east=-60.866&south=20.179&time_start=2019-07-16T00:00:00Z&time_end=2019-07-17T12:00:00Z
will give you one
reftime
and onetime1
, so:Enter TDS v5 parameters
runtime
andoffsetTime
. If I add aruntime
to the previous query:https://thredds-test.unidata.ucar.edu/thredds/ncss/grid/grib/NCEP/HRRR/CONUS_2p5km/TwoD?var=Temperature_isobaric&north=52.818&west=-130.123&east=-60.866&south=20.179&time_start=2019-07-16T00:00:00Z&time_end=2019-07-17T12:00:00Z&runtime=2019-07-15T12:00:00Z
we get
That is, the seven forecast times between 2019-07-16 0Z and 2019-07-17 12Z from the 2019-07-15 12Z run of the HRRR CONUS 2.5km collection. Why seven? Each run of the HRRR has 18 hours of hourly output, so the 12Z run on the 15th should only have data from 2019-07-15 12Z through 2019-07-16 6Z, thus only 7 forecast times are available between the times requested.
A second new parameter,
timeOffset
, can be used as well, but only in combination withruntime
. So, if we request:https://thredds-test.unidata.ucar.edu/thredds/ncss/grid/grib/NCEP/HRRR/CONUS_2p5km/TwoD?var=Temperature_isobaric&north=52.818&west=-130.123&east=-60.866&south=20.179&&runtime=2019-07-15T12:00:00Z&timeOffset=2
we get
In this case, we have the forecast valid at "valid forecast time" coordinate 2 from the 2019-07-15 12z run of the HRRR (in this case, 2 hours into the run).
In theory, runtime can be "all", but that's not working. In the query above, that would give us all of the 2 hour old forecasts from all of the model runs.
More generally, the rules for the time, runtime, and timeoffset parameters should follow those outlined here under
2D Time subsetting
Ensemble datasets
In addition to the new 2D time parameters, we also have
ensCoord
, which allows you to select a single ensemble coordinate (index) for a dataset with an ensemble dimension. So, if we addensCoord=3
to a request query for a dataset with an ensemble dimension, we should get the data back from the third ensemble member only.The text was updated successfully, but these errors were encountered: