Operational dust prediction

Mineral Dust: A Key Player in the Earth System

Volumn , Issue , 2014, Pages 223-265

  Benedetti, Angela ^a   Baldasano, José Maria ^b   Basart, Sara ^b   Benincasa, Francesco ^b   Boucher, Olivier ^c   Brooks, Malcolm E ^d   Chen, Jen Ping ^e   Colarco, Peter R ^f   Gong, Sunlin ^g   Huneeus, Nicolas ^h   Jones, Luke ^a   Lu, Sarah ⁱ   Menut, Laurent ^c   Morcrette, Jean Jacques ^a   Mulcahy, Jane ^d   Nickovic, Slobodan ^j,k   Pérez García Pando, Carlos ^l   Reid, Jeffrey S ^m   Sekiyama, Thomas T ⁿ   Tanaka, Taichu Y ⁿ   Terradellas, Enric ^o   Westphal, Douglas L ^m   Zhang, Xiao Ye ^g   Zhou, Chun Hong ^g   more..

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

^b BARCELONA SUPERCOMPUTING CENTER   (Spain)

^c LABORATOIRE DE MÉTÉOROLOGIE DYNAMIQUE   (France)

^d MET OFFICE   (United Kingdom)

^e NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^f NASA GODDARD SPACE FLIGHT CENTER   (United States)

^g STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^h UNIVERSITY OF CHILE   (Chile)

ⁱ CLIMATE PREDICTION CENTER   (United States)

^j UNIVERSITY OF BELGRADE   (Serbia)

^k UNIVERSITY OF ARIZONA   (United States)

^l Department of Applied Physics and Applied Maths Goddard Institute for Space Studies Columbia University ^*  (United States)

^m NAVAL RESEARCH LABORATORY   (United States)

ⁿ METEOROLOGICAL RESEARCH INSTITUTE   (Japan)

^o AEMET   (Spain)

more..

Author keywords

Aerosol analysis; Data assimilation; Dust models; Forecast; Multi model ensembles; Observations; Prediction; Real time evaluation; Verification metrics

Indexed keywords

EID: 84921050850     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-94-017-8978-3_10     Document Type: Chapter

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