RoadSurf library evaluation study dataset

DOI

Data related to manuscript: RoadSurf: Open-source Road Weather Model library Data contains: -Road weather station observations for Finnish road weather stations from 1 October 2022 to 1 April 2023 -Atmospheric forecast from Finnish Meteorological institute. The data is combination of forecast edited by meteorologist and automatically produced nowcast. -Simulated road surface temperature and amounts of water, snow, ice and black ice on the road -RMSE and bias calucated for the simulations for each month and forecast start time. Also, RMSE and bias for "same as yesterday" and persistence forecasts are included -ReadMe files that explain the data in more detail

Identifier
DOI https://doi.org/10.23728/fmi-b2share.f787e9188786481d936215755919e255
Source https://fmi.b2share.csc.fi/records/xakhc-29497
Metadata Access https://fmi.b2share.csc.fi/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share-:xakhc-29497
Provenance
Creator Karsisto, Virve
Publisher Finnish Meteorological Institute
Publication Year 2023
Rights CC-BY
OpenAccess true
Contact virve.karsisto(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format text/plain
Size 2.6 GB; 42 files
Discipline Meteorology; road weather observations, atmospheric forecast, road weather forecast