Notebook

Swarm Ion Temperature Estimate Products in VirES¶

This notebook demonstrates access to the Swarm ion temperature estimates (EFIxTIE products). The available variables and their mapping to source product variables are provided.

In [1]:

from viresclient import SwarmRequest

SERVER_URL = "https://vires.services/ows"

EFIxTIE_2_ - Ion Temperature Estimate¶

Collections¶

Collection	Dataset
`SW_OPER_EFIATIE_2_`	Swarm A ion temperature estimate
`SW_OPER_EFIBTIE_2_`	Swarm B ion temperature estimate
`SW_OPER_EFICTIE_2_`	Swarm C ion temperature estimate

Avaiable Variables¶

Note that the source EFIxTIE_2_ products contain WGS84 geodetic coordinates rather than the ITRF geocentric sperical coordinates commonly used by other Swarm products. Although the differerences between the latitudes are not very large, VirES coverts the geodetic coordinates to the geocentric ones. The original coordinates from the source products are provides as a reference.

VirES Variable	Source Product Variable	Unit	Dimension	Description
`Timestamp`	`Timestamp`	$$-$$	scalar	UTC time-stamp
`Latitude`	n/a	$$\text{deg}$$	scalar	ITRF geocentric latitude calculated from the source geodetic coordinates
`Longitude`	n/a	$$\text{deg}$$	scalar	ITRF geocentric longitude calculated from the source geodetic coordinates
`Radius`	n/a	$$\text{m}$$	scalar	ITRF geocentric radius calculated from the source geodetic coordinates
`Latitude_GD`	`Latitude`	$$\text{deg}$$	scalar	Geodetic latitude from the source product
`Longitude_GD`	`Longitude`	$$\text{deg}$$	scalar	Geodetic longitude from the source product
`Height_GD`	`Height`	$$\text{m}$$	scalar	Height above the WGS84 ellipsoind from the source product
`Radius_GC`	`Radius`	$$\text{m}$$	scalar	Geocentric radius from the source products
`Latitude_QD`	`QDLatitude`	$$\text{deg}$$	scalar	Quasi-dipole latitude from the source product
`MLT_QD`	`MLT`	$$\text{hour}$$	scalar	Magnetic local time (QD) from the source product
`Tn_msis`	`Tn_msis`	$$\text{K}$$	scalar	Neutral temperature from NRLMSISE00 model
`Te_adj_LP`	`Te_adj_LP`	$$\text{K}$$	scalar	Corrected Swarm Langmuir probe (LP) electron temperature
`Ti_meas_drift`	`Ti_meas_drift`	$$\text{K}$$	scalar	Ion temperature estimated using Swarm TII drift at high latitudes
`Ti_model_drift`	`Ti_model_drift`	$$\text{K}$$	scalar	Ion temperature estimated using Weimer 2005 model drifts at high latitudes
`Flag_ti_meas`	`Flag_ti_meas`	$$-$$	scalar	Flags characterising TII-based ion temperature
`Flag_ti_model`	`Flag_ti_model`	$$-$$	scalar	Flags characterising model-based ion temperature

See the EFIxTIE_2_ product specification for more details.

In [2]:

request = SwarmRequest(SERVER_URL)

request.set_collection("SW_OPER_EFIATIE_2_")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["EFI_TIE"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["EFI_TIE"]))
print("Response:", data)

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Downloading:   0%|          |  [ Elapsed: 00:00, Remaining: ? ] (24.028MB)

Requested variables Latitude_GD, Longitude_GD, Height_GD, Radius_GC, Latitude_QD, MLT_QD, Tn_msis, Te_adj_LP, Ti_meas_drift, Ti_model_drift, Flag_ti_meas, Flag_ti_model
Response: <xarray.Dataset>
Dimensions:         (Timestamp: 172776)
Coordinates:
  * Timestamp       (Timestamp) datetime64[ns] 2016-01-02T00:00:00.196999936 ...
Data variables: (12/19)
    Spacecraft      (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
    Flag_ti_model   (Timestamp) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1
    MLT             (Timestamp) float64 17.16 17.16 17.16 ... 5.09 5.09 5.09
    Ti_model_drift  (Timestamp) float64 1.031e+03 1.031e+03 ... 843.1 843.2
    Radius_GC       (Timestamp) float64 6.823e+06 6.823e+06 ... 6.826e+06
    Flag_ti_meas    (Timestamp) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1
    ...              ...
    Tn_msis         (Timestamp) float64 917.5 917.5 917.4 ... 755.6 755.7 755.7
    Latitude_QD     (Timestamp) float64 41.45 41.48 41.52 ... 1.453 1.418 1.383
    Latitude_GD     (Timestamp) float64 31.91 31.94 31.98 ... 8.798 8.765 8.733
    QDLat           (Timestamp) float64 41.45 41.48 41.52 ... 1.453 1.418 1.382
    MLT_QD          (Timestamp) float64 17.09 17.09 17.09 ... 5.051 5.051 5.051
    Height_GD       (Timestamp) float64 4.506e+05 4.506e+05 ... 4.488e+05
Attributes:
    Sources:         ['SW_OPER_EFIATIE_2__20160102T000000_20160102T235959_0101']
    MagneticModels:  []
    RangeFilters:    []