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1 IPTT-CWWCE, Geneva, 18. - 19.02.2019 Cataloguing database specifications Maya Körber, Stefan Rösner supported by Buhalqem Mamtimin Division Regional Climate Monitoring, Deutscher Wetterdienst

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Page 1: Cataloguing database specifications

1IPTT-CWWCE, Geneva, 18. - 19.02.2019

Cataloguing database specifications

Maya Körber, Stefan Rösnersupported by Buhalqem Mamtimin

Division Regional Climate Monitoring, Deutscher Wett erdienst

Page 2: Cataloguing database specifications

Steps of cataloguing hydro-meteorological events wi thin the test phase

� RCC Node-CM facilitates over-all technical coordination of the test phase including integration of information collected from countries;

� RCC Node-CM provides KML, GML files for the countries to get an overview of the reported events during the UUID test phase;

� RCC Node-CM will provide a report of the test phase, to enable a decision at the 2019 WMO Congress.

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Page 3: Cataloguing database specifications

Assignment of Universal Unique Identifier (UUID)

� Countries assign individual UUIDs to events they report;

� UUID as a means of tracking events and enabling them to be systematically linked to associated data on loss and damage routinely collected by relevant national authorities;

� UUID should be identified with a standard typology of high impact events;

� A single System UUID for hydro-meteorological events is assigned by RCC Node-CM to all events in order to link them with the originating source (e.g. tropical cyclone);

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WMO recommendation for collecting information

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WMO recommendation for collecting information

Minimum elements to be recorded during the recording process shown in red.

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WMO recommendation for collecting primary hazards (Event Type) and weather systems

Primary System

Rain

Snow

Temperature

Hail

Fog

Wind

Frost

Ice

Haze

Dust

Sand

Lighting

Tornado

Drought

Floods

Marine Waves

Avalanche

Thunderstorms*1

Cyclonic (e.g. Tropical, Extra-tropical cyclone,

mid-latitude cyclone)

Anti-cyclonic

Convective (thunderstorms)

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WMO headline of event type listHeadline

Hoar frost

Gale

Heavy rain

Extreme precipitation

Hurricane

Typhoon

Heavy rain

Ice Storm

Snowstorm

Squall

Tropical storm

Strong gale

Subtropical Storm

Hydrological drought

Meteorological drought

Coastal flood

Estuarine flood

Flash flood

Fluvial (riverine) flood

Ice and debris-jam flood

Multiple event flood

Seasonal flood

Single event flood

Snowmelt flood

Sand haze

Sand storm

Dust storm

Black carbon

Brown clouds

Pollen pollution episode

Polluted air

Blizzard

Dry Spell

Wet Spell

Cold wave

Heatwave

Landslide/Mudslide

Mud flow

Acid rain

Storm surges

Tsunami

Avalanche

Downburst

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Page 8: Cataloguing database specifications

The approach of the evaluation

� To describe a standard typology of high impact events;

� GIS is a support system for spatial thinking;

� To visualized the information collected/ reported, a layer-based model within GIS environment has been developed.

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We need a way to “think spatially”

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Event categories as data layers in ArcGIS framework

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Linkage by system UUID

The approach of the evaluation

20-25th: Storm Knud/Bronagh/Ali crossed Norway, Denmark, Netherlands, Luxembourg, Germany, UK and Ukraine. Since events reported stem from same weather systems, all related events get the same system ID for linkages.

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Sharing of preliminary results

To get an overview of the extreme events during the UUID test-phase, map and layers in KML and GML formats are provided for participating countries via RCC Node-CM website.

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KML Map in Google Earth

The way of sharing of preliminary results

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The way of sharing of preliminary results GML Layer for GIS user in free and open source Geographic Information System (QGIS)

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� The data is organized in event categories as data layers

� Fog: as a multipoint feature class� Hail: as a multipoint feature class � Storm: as a multipoint feature class� Drought: Multipart-Polygon-Features� RainPrimary: Multipart-Polygon-Features

� The spatial extent of the events is indicated through administrative areas of the participating countries. Therefore, for each country a corresponding template with the area name, which matches to the reference database, was provided. It was expected that the participating countries will send event data with excel template when the event record is completed to the RCC Node-CM

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• The reported area names are different than those from the template: Some of the participating countries do not use the area names from the provided template, they use their own names for the report. It should be emphasized that we use our reference database to enter the different event categories into the UUID database. This ensures that the spatial extent is well recorded. Therefore, we recommended the following to avoid this problem:We ask the focal-points either to use the template provided by us or to prepare an ESRI shapefile for the areas, for which area the report was sent. • Near-real-time product: Within the UUID test phase, a near-real-time product will be provided. It is not meant to forecasting extreme events. However, some of the focal points sent us the data using forecasts. Although prediction of events is important, whether an event has taken place or not and what kind of impacts have occurred following this event can only be determined after the event. Affected countries are invited to check what happened and then send the relevant information after the event. • Awareness of focal points:It is recommended that every focal point reports back to RCC Node-CM, even if no event has occurred. So, we know the focal points are aware of their task. In addition we suggest each focal point to decide and inform about the intended reporting frequency (weekly or monthly). Our preference would be to receive such reports once a week.

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� UUID: the countries assign a UUID number to each high impact event they wish to report,

� Integration: If two or more high impact events have the same source, they will be linked by a single System UUID.

� System UUID: identifies the weather system from which the different events originate;

� Allows connecting hydro-meteorological information with impact information (e.g. in context of Loss and Damage)

� GIS used to visualize spatial information reported on impact events

� KML and GML files provide access to information collected

Summary

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Thank you for your attention!

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Dipl.-Met. Stefan RösnerHead, Division Regional Climate Monitoring,Coordinator WMO RA VI RCC Network,Deputy GCOS German CoordinatorFrankfurter Str. 13563067 Offenbach

Germany

T: +49 (0)69 8062 4306F: +49 (0)69 8062 3759E: [email protected]

or: [email protected]: [email protected]: [email protected]

I: www.dwd.de/rcc-cmwww.rccra6.orgwww.gcos.de

Maya KörberDivision Regional Climate Monitoring,Office of Deutscher Klimadienst,

Frankfurter Str. 13563067 Offenbach

Germany

T: +49 (0)69 8062 2941F: +49 (0)69 8062 3759E: [email protected]

or: [email protected]: [email protected]: [email protected]

I: www.dwd.de/rcc-cmwww.rccra6.orgwww.gcos.de