Date (Revision)

2023-02-28

Identifier

RMI-be / belgian_composite_hail

Status

On going

Maintenance and update frequency

Continual

GEMET - INSPIRE themes, version 1.0

• Atmospheric conditions

Keywords

• federal government
• hail
• observation

Spatial scope

• National

Access constraints

Other restrictions

Other constraints

No limitations on public access

Use constraints

Intellectual property rights

Classification

Unclassified

Spatial representation type

Grid

Distance

500  http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resources /uom/ML_gmxUom.xml#m

Metadata language

English

Topic category

• Climatology, meteorology, atmosphere

Begin date

2016-04-01T00:00:00

Unique resource identifier

EPSG:4258

Distribution format

• HDF ( 5 )

OnLine resource

RMI opendata portal ( WWW:LINK-1.0-http--link )

RMI opendata portal

Hierarchy level

Dataset

Other

dataset

Statement

Hail detection module is an implementation of two hail detection algorithms: of Witt and of Waldvogel (Waldvogelet al., 1979). The module takes radar observations and temperature information and estimates probability of hail (POH, %), probability of severe hail (POSH, %) and maximum expected size of hail (MESH, mm). The implementation of the Waldvogel algorithm is based on the Holleman s equation (I. Holleman, 2001), which was verified for Belgium by Delobbe et al. (2003). The POH is derived in the algorithm from the presence of a substantial updraft detected above the freezing level (0º-isoterm). The implementation of the Witt algorithm is based on the weighted integration of the reflectivity values between the heights of 0º-isoterm and -20º-isotherm (Witt et al., 1998). This algorithm provides POSH and MESH estimates.

File identifier

RMI_DATASET_BELGIAN_COMPOSITE_HAIL XML

Metadata language

English

Hierarchy level

Dataset

Date stamp

2023-02-28