Reduction of used memory ensemble Kalman filtering (RumEnKF): A data assimilation scheme for memory intensive, high performance computing

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Keywords

@article{a2888d770c114644a5c1e1eaf3fd3133,

title = "Reduction of used memory ensemble Kalman filtering (RumEnKF): A data assimilation scheme for memory intensive, high performance computing",

keywords = "CWTS 0.75 <= JFIS < 2.00",

author = "RW Hut and BA Amisigo and SC Steele-Dunne and {van de Giesen}, NC",

year = "2015",

doi = "10.1016/j.advwatres.2015.09.007",

language = "English",

volume = "86 B",

pages = "273--283",

journal = "Advances in Water Resources",

issn = "0309-1708",

publisher = "Elsevier",

number = "December",

}

TY - JOUR

T1 - Reduction of used memory ensemble Kalman filtering (RumEnKF): A data assimilation scheme for memory intensive, high performance computing

AU - Hut, RW

AU - Amisigo, BA

AU - Steele-Dunne, SC

AU - van de Giesen, NC

PY - 2015

Y1 - 2015

KW - CWTS 0.75 <= JFIS < 2.00

U2 - 10.1016/j.advwatres.2015.09.007

DO - 10.1016/j.advwatres.2015.09.007

M3 - Article

VL - 86 B

SP - 273

EP - 283

JO - Advances in Water Resources

JF - Advances in Water Resources

SN - 0309-1708

IS - December

ER -