GEOGloWS.jl
Julia package to request data from the GEOGloWS ECMWF Streamflow service
Information regarding the GEOGloWS ECMWF Streamflow service can be found at the About page
Installation
$ julia
julia> ]
pkg> add GEOGloWS
julia> using GEOGloWS
Quick start
The GEOGloWS services provides critical historical and forecast information on streamflow for every reach across the globe. This quick start example illustrates how to request data for the Brahmaputra River near Guwahati, India.
Requesting historical data
using GEOGloWS
df = GEOGloWS.historic_simulation(26.1807, 91.7108)
df
15553×2 DataFrame
Row │ datetime streamflow_m^3/s
│ DateTime… Float64
───────┼───────────────────────────────────────
1 │ 1979-01-01T00:00:00 0.0
2 │ 1979-01-02T00:00:00 3.41469
3 │ 1979-01-03T00:00:00 26.3249
4 │ 1979-01-04T00:00:00 68.7416
⋮ │ ⋮ ⋮
15550 │ 2021-07-28T00:00:00 24899.9
15551 │ 2021-07-29T00:00:00 23278.6
15552 │ 2021-07-30T00:00:00 22384.6
15553 │ 2021-07-31T00:00:00 22817.1
15545 rows omitted
Requesting forecast data
using GEOGloWS
df = GEOGloWS.forecast_ensembles(26.1807, 91.7108)
df
145×53 DataFrame
Row │ datetime ensemble_01_m^3/s ensemble_10_m^3/s ensemble_11_m^3/s ensemble_12_m^3/s ensemble_13_m^3/s ensemble_14_m^3/s ensemble_15_m^3/s ensemble_16_m^3/s ensembl ⋯
│ DateTime… Float64? Float64? Float64? Float64? Float64? Float64? Float64? Float64? Float64 ⋯
─────┼───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
1 │ 2021-10-16T00:00:00 10738.7 10738.7 10738.7 10738.7 10738.7 10738.7 10738.7 10738.7 ⋯
2 │ 2021-10-16T01:00:00 missing missing missing missing missing missing missing missing
3 │ 2021-10-16T02:00:00 missing missing missing missing missing missing missing missing
4 │ 2021-10-16T03:00:00 10687.7 10687.6 10687.7 10687.6 10687.7 10687.6 10687.6 10687.6
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱
142 │ 2021-10-30T06:00:00 18810.5 20950.2 18868.2 19794.4 16530.8 20430.2 17165.0 14943.7 ⋯
143 │ 2021-10-30T12:00:00 19617.2 21530.3 19545.2 20586.4 17056.5 21485.9 17189.7 15129.7
144 │ 2021-10-30T18:00:00 20127.3 21759.9 19995.9 21154.5 17334.7 22283.9 17025.3 15103.7
145 │ 2021-10-31T00:00:00 20292.8 21616.3 20157.9 21426.9 17329.0 22724.2 16667.9 14857.3
44 columns and 137 rows omittedFor more information on the methods the signatures, please see the API documentation