Data for the manuscript "Cell tracking -based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall" by Ritvanen et al.

DOI

This repository contains the data used in the manuscript "Cell tracking -based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall" by Ritvanen, J., Pulkkinen, S., Moisseev, D., and Nerini, D. submitted to the Geoscientific Model Development journal.

A description of the data files is provided below.

observations.zip

The observation data is provided as a single hdf5 file swiss_composite_bbox_26012024.h5, with the structure

txt ├YYYY-mm-dd HH:MM:SS │ └measurements │ ├data [uint8: 640 × 704] │ │ └2 attributes: │ │ ├CLASS: b'IMAGE' │ │ └IMAGE_VERSION: b'1.2' │ └what │ └1 attributes: │ ├quantity: 'RATE' │ ├units: 'mm/h'

The values are packed using a lookup table, which is provided in the metranet_lookup.py file, where the variable METRANET_RR_8BIT contains the rain rate values in units of mm/h corresponding to the packed values from 0 to 255.

The data is saved in a metric coordinate system with the following projection string: +proj=somerc +lat_0=46.95240555555556 +lon_0=7.439583333333333 +k_0=1 +x_0=2600000 +y_0=1200000 +ellps=bessel +towgs84=674.374,15.056,405.346,0,0,0,0 +units=m +no_defs

The corner coordinates of the data are:

"UR_lon": 12.463400010413896, "UR_lat": 49.36540000898943, "LL_lon": 3.2432298672374404, "LL_lat": 43.63301754190871,

nowcasts.zip

The zip file contains the nowcast data used in the study.

NOTE: the uncompressed size of the files is approximately 53GB.

The following files contain the nowcast data:

  • extrapolation_swiss_composite_bbox_26012024.h5: the advection nowcast
  • lcnn_diff_rmse_swiss_31012024.h5: the L-CNN nowcast
  • linda_domain_swiss_composite_bbox_26012024.h5: the LINDA nowcast
  • sprog_swiss_composite_bbox_26012024.h5: the S-PROG nowcast

The files have the following structure:

```txt ├YYYY-mm-dd HH:MM:SS

├ │ ├data [uint8: 640 × 704] │ │ └2 attributes: │ │ ├CLASS: b'IMAGE' │ │ └IMAGE_VERSION: b'1.2' │ └what │ └13 attributes: │ ├LL_lat: 43.63301754190871 │ ├LL_lon: 3.2432298672374404 │ ├UR_lat: 49.36540000898943 │ ├UR_lon: 12.463400010413896 │ ├description: │ ├institution: 'MeteoSwiss' │ ├lookup: 'METRANET_RR_8BIT' │ ├projdef: '`+proj=somerc +lat_0=46.95240555555556 +lon_0=7.439583333333333 +k_0=1 +x_0=2600000 +y_0=1200000 +ellps=bessel +towgs84=674.374,15.056,405.346,0,0,0,0 +units=m +no_defs' │ ├qty: 'RATE' │ ├timestep: 5 │ ├unit: 'mm/h' │ ├xsize: 704 │ └ysize: 640 ├ │ ├data [uint8: 640 × 704] │ │ └2 attributes: │ │ ├CLASS: b'IMAGE' │ │ └IMAGE_VERSION: b'1.2' │ └what │ └13 attributes: ...

```

where is the name of the nowcasting model and is the index of the lead time of the nowcast starting from 1 (e.g. 1=5min, 2=10min, 3=15min, ...). The model names are:

  • extrapolation: the advection nowcast
  • linda: the LINDA nowcast
  • sprog: the S-PROG nowcast
  • lcnn-diff-rmse-31012024: the L-CNN nowcast

The values are packed using a lookup table, which is provided in the metranet_lookup.py file, where the variable METRANET_RR_8BIT contains the rain rate values in units of mm/h corresponding to the packed values from 0 to 255.

The data is saved in a metric coordinate system with the following projection string: +proj=somerc +lat_0=46.95240555555556 +lon_0=7.439583333333333 +k_0=1 +x_0=2600000 +y_0=1200000 +ellps=bessel +towgs84=674.374,15.056,405.346,0,0,0,0 +units=m +no_defs

The corner coordinates of the data are:

"UR_lon": 12.463400010413896, "UR_lat": 49.36540000898943, "LL_lon": 3.2432298672374404, "LL_lat": 43.63301754190871

Identifier
DOI https://doi.org/10.57707/fmi-b2share.627e6133c2594dc3945d14fe0ef9c922
Source https://fmi.b2share.csc.fi/records/627e6133c2594dc3945d14fe0ef9c922
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/627e6133c2594dc3945d14fe0ef9c922
Provenance
Creator Ritvanen, Jenna; Pulkkinen, Seppo; Moisseev, Dmitri; Nerini, Daniele
Publisher Finnish Meteorological Institute
Publication Year 2024
Rights CC-BY; info:eu-repo/semantics/openAccess
OpenAccess true
Contact jenna.ritvanen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format py; zip
Size 49.7 GB; 3 files
Discipline Environmental science
Temporal Coverage 2021-04-30T21:00:00.000Z 2023-09-29T21:00:00.000Z