Comments (11)
@n-a-t-e Think it would be best to create a view for this dataset with the following variables available (see here):
- PruthDock.TideHeight_Avg
- PruthDock.TideHeightDelta_Avg
- PruthDock.TideHeightPLS_Avg
- PruthDock.AirTemp_Avg
- PruthDock.AirTemp2_Avg
- PruthDock.SeaLevelAirPressure_Avg
- PruthDock.SeaLevelAirPressure_Avg
- PruthDock.PAR_Avg
- PruthDock.SolarRad_Avg
- PruthDock.Rain
- PruthDock.UVRad_Avg
- PruthDock.WindDir_Avg
- PruthDock.WindSpd_Avg
- PruthDock.StationAirPressure_Avg
- PruthDock:RH
Potentially (that data has some issues and would need to corrected)
- PruthDock.PLS_Salinity_Avg
- PruthDock.PLS_Cond_Avg
- PruthDock.PLS_TDS_Avg
- PruthDock.PLS_Temp_Avg
from hakai-datasets.
@raytula Regarding the tide gauge data at Pruth dock. Do you have any thoughts regarding also including the meteorological station data coming from the exact same location?
from hakai-datasets.
@raytula Regarding the tide gauge data at Pruth dock. Do you have any thoughts regarding also including the meteorological station data coming from the exact same location?
@JessyBarrette that sounds good to me.
from hakai-datasets.
Alright, we'll get that setup like that. Should be a simple link to the database!
from hakai-datasets.
Preliminary dataset is now available here https://goose.hakai.org/erddap/tabledap/HakaiPruthDockProvisional.html
@raytula have a look, there's a lot of variables listed within this dataset with more than 60% being quality flag-related variables.
I wonder if we should just omit the Hakai flag columns and only consider keeping the QARTOD flag ones.
Let me know your thoughts!
from hakai-datasets.
I wonder if we should just omit the Hakai flag columns and only consider keeping the QARTOD flag ones.
Would it make sense to do the same as we are doing for the BoL datasets, where I believe we are passing through the UQL column and the flags (string) column? The Hakai QC column is mapped to UQL.
At some point we should likely review how the two Hakai QC columns are passed through to ERDDAP, as there are likely one or more improvements that should be made there.
from hakai-datasets.
from hakai-datasets.
I have one issue with the tide data water level. I need to specify to which datetum 0m refers too. Easy fix is to shift the data to center it on the mean value, but it would probably be better to keep the datum used by CHS. Both can probably live together at the same time on the same ERDDAP dataset.
From https://cfconventions.org/Data/cf-standard-names/77/build/cf-standard-name-table.html
-
sea_surface_height_above_geopotential_datum
"Height_above_X" means the vertical distance above the named surface X. "Sea surface height" is a time-varying quantity. The "geopotential datum" is any estimated surface of constant geopotential used as a datum i.e. a reference level; for the geoid as a datum, specific standard names are available. To specify which geoid or geopotential datum is being used as a reference level, a grid_mapping variable should be attached to the data variable as described in Chapter 5.6 of the CF Convention. -
sea_surface_height_above_mean_sea_level
alias: sea_surface_height_above_sea_levelalias, sea_surface_height
"Sea surface height" is a time-varying quantity. "Height_above_X" means the vertical distance above the named surface X. "Mean sea level" means the time mean of sea surface elevation at a given location over an arbitrary period sufficient to eliminate the tidal signals. The standard name for the height of the sea surface above the geoid is sea_surface_height_above_geoid. The standard name for the height of the sea surface above the reference ellipsoid is sea_surface_height_above_reference_ellipsoid.
There are other terms that I think refer only to the tide-related variability.
- tidal_sea_surface_height_above_lowest_astronomical_tide
"Sea surface height" is a time-varying quantity. "Height_above_X" means the vertical distance above the named surface X. "Lowest astronomical tide" describes a local vertical reference based on the lowest water level that can be expected to occur under average meteorological conditions and under any combination of astronomical conditions. The tidal component of sea surface height describes the predicted variability of the sea surface due to astronomic forcing (chiefly lunar and solar cycles) and shallow water resonance of tidal components; for example as generated based on harmonic analysis, or resulting from the application of harmonic tidal series as boundary conditions to a numerical tidal model. - tidal_sea_surface_height_above_mean_lower_low_water
"Sea surface height" is a time-varying quantity. "Height_above_X" means the vertical distance above the named surface X. "Mean lower low water" is the arithmetic mean of the lower low water height of each tidal day observed at a station over a Tidal Datum Epoch, which is a period of time that is usually greater than 18.6 years to include a full lunar cycle. Tidal datums in certain regions with anomalous sea level changes may be calculated using a shorter, or modified, Tidal Datum Epoch (e.g. 5 years). To specify the tidal datum epoch to which the quantity applies, provide a scalar coordinate variable with standard name reference_epoch.
from hakai-datasets.
Regarding this, i will for the moment shift the tide data to center (mean value recorded) and use the standard_name: sea_surface_height_above_mean_sea_level
Conductivity and salinity data will be removed for now since they are giving some questionable data. A correction needs to be applied based on profile data collected at KC1.
from hakai-datasets.
Added Hakai Metadata Form
from hakai-datasets.
Pruth Dock data is now available on ERDDAP and CIOOS CKAN!
from hakai-datasets.
Related Issues (20)
- Issue: Fix Hakai Datasets Metadata from compliance checker
- Algae Explorer Chla dataset
- Hakai Sentinel Temperature Data HOT 1
- Update the different NCEI submitted datasets from OA is reflected on ERDDAP HOT 2
- Connect Hakai CTD Profile Datasets to the Hakai Database HOT 1
- ERDDAP handling of ctd.qartod_flag_type HOT 4
- Hakai Watersheds Weather Stations
- Hakai Watersheds Streams
- Nature Trust CTD Data Provisional/Research datasets HOT 1
- Parks Canada CTD Data Provisional/Research datasets HOT 1
- Skeena River Fisheries CTD Data Provisional/Research datasets HOT 1
- github action tests HOT 1
- Update hakai-datasets to latest and greatest HOT 1
- Hakai ERDDAP is sending notifications to info at cioospacific.ca
- Dataset Submission: Seaspan Royal SuperCO2 password protected HOT 2
- Add non public datasets to hakai ERDDAP HOT 3
- Issue: Hakai Limpet Non connected handling
- Update: Link Hakai CTD profiles provisional dataset to database
- Get QCed data from database directely to ERDDAP
- HakaiPruthDockProvisional Tide data is failing HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from hakai-datasets.