Annual (Overshooting Top Days/Year) (Australia Convection Climatology)
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ArcGIS Image ServiceTime Interval: Annual With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological statistics averaged Annually with Hourly Timesteps. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Full Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Seasonal Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Full Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological diurnal statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Monthly Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service provides monthly gridded overshooting cloud top detection, specifically the Overshooting Top Days/Month over Australia. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
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