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Atmos. Meas. Tech., 7, 1605–1617, 2014 www.atmos-meas-tech.netdoi:amt © Author(sCC Attribution 3.0 License. The large-scale spatio-temporal variability of precipitation over
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Document Date: 2014-12-03 12:10:15


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Company

Ericsson / /

Country

United States / Sweden / /

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Event

Natural Disaster / /

Facility

Hydrological Institute / European Centre / /

IndustryTerm

energy production / satellite estimates / pressure systems / Satellite-based observations / climate applications / data processing / satellite sensors / climatological and hydrological applications / energy cycles / energy cycle / energy policy / hinder frontal systems / radar network / satellite observations / oscillatory systems / energy applications / weather radar network / radar signal processor / precursor frontal systems / operational applications / filter using satellite observations / frontal systems / operational meteorological applications / satellite-based long-term cloud climatologies / non-frontal systems / similar product / energy / /

MarketIndex

NAO / /

MusicGroup

Doppler / /

NaturalFeature

Alps / Norwegian Sea / North Atlantic Ocean / Atlantic/North Sea / Norwegian mountain ranges / Baltic Sea / Gotland / /

Organization

European Geosciences Union / Swedish Meteorological and Hydrological Institute / United Nations / Research and Development Department / National Oceanic and Atmospheric Administration / National Aeronautics and Space Administration / BALTEX Radar Data Centre / A. Devasthale and L. Norin Atmospheric Remote Sensing Unit / European Centre for Medium Range Weather Forecasts / Climate Prediction Centre / /

Person

Ase Karlskrona Ängelholm Vara / /

Position

dominant driver / /

Region

northern Sweden / continental Europe / northern Europe / southern Sweden / North Atlantic / Scandinavia / southwestern Sweden / southeastern Sweden / central Sweden / eastern Sweden / /

Technology

Remote Sensing / radar signal processor / PDF / /

URL

http /

SocialTag