Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

Atmospheric Research

Volumn 184, Issue , 2017, Pages 149-175

  Deo, Ravinesh C ^a   Kisi, Ozgur ^b   Singh, Vijay P ^c,d  

^a UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^b International Black Sea University   (Georgia)

^c Texas A and M University   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Drought forecasting; Least square support vector machine; M5Tree model; Multivariate adaptive regression spline; Standardized precipitation index

Indexed keywords

ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; CLIMATOLOGY; DROUGHT; FORECASTING; MEAN SQUARE ERROR; OCEANOGRAPHY; PRECIPITATION (METEOROLOGY); RAIN; REGRESSION ANALYSIS; SPLINES; STREAM FLOW; SURFACE WATERS; WATER RESOURCES; WEATHER FORECASTING;

COEFFICIENT OF DETERMINATION; HYDROLOGY AND WATER RESOURCE; LEAST SQUARE SUPPORT VECTOR MACHINES; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; PACIFIC DECADAL OSCILLATION; SEA SURFACE TEMPERATURE (SST); SOUTHERN OSCILLATION INDEX; STANDARDIZED PRECIPITATION INDEX;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; DROUGHT; EL NINO-SOUTHERN OSCILLATION; LEAST SQUARES METHOD; MULTIVARIATE ANALYSIS; PACIFIC DECADAL OSCILLATION; PERIODICITY; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; WEATHER FORECASTING;

AUSTRALIA;

EID: 84994060685     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2016.10.004     Document Type: Article

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