Application of 4DVAR and EnKF approaches for assimilating vegetation temperature condition index

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 27, Issue 12, 2011, Pages 184-190

  Wang, Wei ^a   Liu, Xiangge ^a   Wang, Pengxin ^a   Liu, Chunhong ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Data assimilation; Models; Monitoring; Remote sensing; Vegetation temperature condition index

Indexed keywords

ADJACENT PIXELS; ASSIMILATION SYSTEM; CERES-WHEAT; DATA ASSIMILATION; DROUGHT MONITORING; ENSEMBLE KALMAN FILTER; GROUND SURVEYS; METEOROLOGICAL DATA; PRIOR KNOWLEDGE; REMOTE SENSING DATA; ROOT MEAN SQUARE ERRORS; SAMPLING SITE; SOIL SURFACES; STUDY AREAS; SUDDEN CHANGE; SURFACE SOIL MOISTURE; VEGETATION TEMPERATURE CONDITION INDEX;

COMPUTER SIMULATION; DROUGHT; GEOLOGIC MODELS; MEAN SQUARE ERROR; METEOROLOGY; MODELS; MONITORING; REMOTE SENSING; SOIL MOISTURE; VEGETATION;

DATA PROCESSING;

EID: 83255186832     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2011.12.035     Document Type: Article

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