Using continuous ground-based radar and lidar measurements for evaluating the representation of clouds in four operational models

Journal of Applied Meteorology and Climatology

Volumn 49, Issue 9, 2010, Pages 1971-1991

  Bouniol, Dominique ^a   Protat, Alain ^b,c   Delanoë, Julien ^d   Pelon, Jacques ^e   Piriou, Jean Marcel ^a   Bouyssel, François ^a   Tompkins, Adrian M ^f,j   Wilson, Damian R ^g   Morille, Yohann ^e   Haeffelin, Martial ^e   O'Connor, Ewan J ^d,h   Hogan, Robin J ^d   Illingworth, Anthony J ^d   Donovan, David P ⁱ   Baltink, Henk Klein ⁱ  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

^b Bureau of Meteorology Centre for Australian Weather and Climate Research   (Australia)

^c STATION DE RADIOASTRONOMIE DE NANÇAY   (France)

^d UNIVERSITY OF READING   (United Kingdom)

^e CNRS   (France)

^f EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^g MET OFFICE   (United Kingdom)

^h FINNISH METEOROLOGICAL INSTITUTE   (Finland)

ⁱ ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

^j ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS   (Italy)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC CLIMATE; CLOUD FRACTION; CLOUD RADAR; DATA SETS; ECHELLE; EVALUATING MODELS; FORCINGS; FREQUENCY OF OCCURRENCES; GROUND BASED; GROUND BASED RADAR; ICE WATER CONTENT; LIDAR MEASUREMENTS; LIDAR OBSERVATION; LOW-LEVEL CLOUDS; NETHERLANDS; NUMERICAL WEATHER FORECASTS; OPERATIONAL MODEL; REMOTE SENSORS; SEASONAL CYCLE; SEASONAL SCALE; SEASONAL VARIATION; STATISTICAL PROPERTIES; STATISTICAL REPRESENTATIONS; UNITED KINGDOM; WEATHER FORECAST MODELS; WESTERN EUROPE;

CLOUDS; DATA PROCESSING; ICE; OPTICAL RADAR; RADAR; RADAR MEASUREMENT; REMOTE SENSING; TIME SERIES; WATER CONTENT; WEATHER FORECASTING;

CLIMATE MODELS;

CLIMATE MODELING; CLOUD CLASSIFICATION; CONVECTIVE CLOUD; DOPPLER LIDAR; NUMERICAL METHOD; OBSERVATIONAL METHOD; SEASONAL VARIATION; TIME SERIES ANALYSIS; WEATHER FORECASTING;

WESTERN EUROPE;

EID: 77957739358     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JAMC2333.1     Document Type: Article

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