Published March 2, 2022
| Version
v1
Dataset
Open
Study about effects of sky view factor and screening on road surface temperaure forecast accuracy
Description
Data related to manuscript titled "Effects of sky view factor and screening on road surface temperature forecast accuracy in Finland" to be submitted to a scientific journal for publication. Data includes: -Coordinates of the selected forecast points -Local horizon angles of the selected forecast points -Road weather station measurements -MEPS forecast -Simulated road surface temperatures -Verification results Each folder contains a readme file to explain the data
Files
data_karsisto_2022.zip
Files
(81.0 MB)
| Name | Size | Download selected | Download all |
|---|---|---|---|
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Checksum: md5:7231a1a2ffe4d95e5bd044d2e4fd14e2
PID: http://hdl.handle.net/11304/0d017d98-c043-4ec1-91c7-f79858e90d47 |
81.0 MB |
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Additional details
Identifiers
- URL
- https://etsin.fairdata.fi/dataset/ec8a2f35-41f5-46cb-81f1-5f0f373d13bd
- B2SHARE Legacy Record ID
- ebee87254daf41e6b2d3bcd6c32250c2
FMI metadata
- Process step
- The source data was given to the FMI road weather model as input and the model gave surface temperature as output. The output surface temperature was verified againts observations and several verification metrics were calculated
- Source data
- Road weather observations are provided by Finnish Transport and Communication Agency (https://www.traficom.fi/en/), Local horizon angles are calculated from laser scanning data provided by National Land Survey of Finland (https://www.maanmittauslaitos.fi/en/maps-and-spatial-data/expert-users/product-descriptions/laser-scanning-data). First the laser scanning data was transformed to digital surface model with Lastools software.., MEPS forecasts are provided by Finnish Meteorological Institute (https://en.ilmatieteenlaitos.fi/open-data). The data has been interpolotaed to the forecast points and some cumulative values changed to intensity
- Lineage
- This is first version of the manuscript dataset
- Model
- FMI Road weather model
- Parameter
- Resolution
- -1
- Topic category
- climatologyMeteorologyAtmosphere
Parameter name
:
Air temperature
Parameter unit
:
C
Parameter description
:
Air temperature or Temperature 2 m
Parameter name
:
Surface temperature
Parameter unit
:
C
Parameter description
:
Surface temperature
Parameter name
:
Precipitation intensity
Parameter unit
:
mm/h
Parameter description
:
Precipitation intensity or precipitation rate
Parameter name
:
Relative humidity
Parameter unit
:
%
Parameter description
:
Relative humidity
Parameter:
parameter
Parameter name
:
Local horizon angles
Parameter description
:
Local horizon angles
Parameter name
:
Precipitation form
Parameter unit
:
explained in readme file
Parameter description
:
Precipitation form
Parameter name
:
Total cloud cover
Parameter unit
:
%
Parameter description
:
Total cloud cover
Parameter name
:
Net long wave radiation
Parameter unit
:
W/m^2
Parameter description
:
Net long wave radiation
Parameter name
:
Downwelling long wave radiation
Parameter unit
:
W/m^2
Parameter description
:
Downwelling long wave radiation
Parameter name
:
Downwelling short wave radiation
Parameter unit
:
W/m^2
Parameter description
:
Downwelling short wave radiation
Parameter name
:
Global radiation
Parameter unit
:
W/m^2
Parameter description
:
Global radiation
Parameter name
:
Dew point temperature
Parameter unit
:
C
Parameter description
:
Dew point temperature
Parameter name
:
Simulated surface temperature
Parameter unit
:
C
Parameter description
:
Simulated surface temperature
Parameter name
:
root mean square error
Parameter unit
:
C
Parameter description
:
rmse
Parameter name
:
bias
Parameter unit
:
C
Parameter description
:
bias
Parameter name
:
mean rmse difference between the simulations
Parameter unit
:
C
Parameter description
:
mean rmse difference between the simulations
Parameter name
:
lower probability limit (95 % confidence) for rmse difference distribution
Parameter description
:
rmse difference, lower limit (95 % confidence)
Parameter name
:
upper probability limit (95 % confidence) for rmse difference distribution
Parameter description
:
rmse difference, upper limit (95 % confidence)
Parameter name
:
standard deviation of the rmse differences multiplied by z-value (1.96)
Parameter description
:
standard deviation of the rmse differences multiplied by z-value (1.96)
Parameter name
:
mean bias difference between the simulations
Parameter description
:
mean bias difference between the simulations
Parameter name
:
lower probability limit (95 % confidence) for bias difference distribution
Parameter description
:
bias difference, lower limit (95 % confidence)
Parameter name
:
upper probability limit (95 % confidence) for bias difference distribution
Parameter description
:
bias difference, upper limit (95 % confidence)
Parameter name
:
standard deviation of the bias differences multiplied by z-value (1.96)
Parameter description
:
standard deviation of the bias differences multiplied by z-value (1.96)
Parameter name
:
Number of hits (correctly forecasted cases where road surface temperature < 0 C)
Parameter description
:
hits
Parameter name
:
Number of false alarms (forecasted cases where road surface temperature was forecasted < 0 C but observation was > 0 C)
Parameter description
:
false alarms
Parameter name
:
Number of misses (cases where forecast was > 0 C but observation > 0 C)
Parameter description
:
misses
Parameter name
:
Number of correct non-events (forecast and observation both > 0 C)
Parameter description
:
correct non-event