Identification

Title

Quantifying the Impact of Solar Irradiance Uncertainty on Thermosphere-Ionosphere Variability Using Ensemble Forecasts

Alternative title(s)

d010075

Abstract

<p>This dataset accompanies the paper titled "Quantifying the Impact of Solar Irradiance Uncertainty on Thermosphere-Ionosphere Variability Using Ensemble Forecasts." The study examines the sensitivity of the thermosphere and ionosphere to variations in solar spectral irradiance. Ensemble simulation experiments were conducted for the 2021/2022 winter period, using both data-driven and parameterized solar irradiance perturbations to assess their impact. The ensemble spread in electron density and neutral temperature is used as a measure of the system's sensitivity to changes in solar irradiance. Simulation results are also compared with satellite observations from Swarm, ICON, and COSMIC-2. files with string "euvac05" are result from EXP1 on table 1 in the paper. files with string "euvac15" are result from EXP2 on table 1 in the paper. files with string "data" are result from EXP3 on table 1 in the paper. files with string "data_doubled" are result from EXP4 on table 1 in the paper. Files beginning with "cosmic_doy" contain the results of comparisons between the ensemble simulation experiments and COSMIC-2 electron density observations. The "doy" portion represents the three-digit day-of-year (DOY) identifier. Files beginning with "icon_might_x" contain the results of comparisons between the ensemble simulation experiments and ICON neutral temperature observations. The "x" indicates the instrument identifier, either MIGHTI-A or MIGHTI-B. Files beginning with "swarm_x" contain the results of comparisons between the ensemble simulation experiments and SWARM neutral density observations. The "x" indicates the instrument identifier, either SWARM-A or SWARM-C. </p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d010075/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d010075/dataaccess/

protocol: https

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2021-03-30

Keyword set

keyword value

COSMIC-2/FORMOSAT-7 > Constellation Observing System for Meteorology, Ionosphere, and Climate - 2

ICON > Ionospheric Connection Explorer

MODELS > MODELS

Swarm-A

Swarm-C

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-10-03

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > UPPER AIR TEMPERATURE

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-10-03

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

2021-12-01T0000+00

End position

2021-12-30T0000+00

Dataset reference date

date type

publication

effective date

2025-07-29

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NSF NCAR Geoscience Data Exchange

email address

datahelp@ucar.edu

web address

https://gdex.ucar.edu

name: NSF NCAR Geoscience Data Exchange

description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.

function: download

responsible party role

pointOfContact

Metadata date

2025-10-09T01:42:57Z

Metadata language