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Results:
1-7
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Results: 7
Authors:
GUPTA HV
SOROOSHIAN S
YAPO PO
Citation: Hv. Gupta et al., TOWARD IMPROVED CALIBRATION OF HYDROLOGIC-MODELS - MULTIPLE AND NONCOMMENSURABLE MEASURES OF INFORMATION, Water resources research, 34(4), 1998, pp. 751-763
Authors:
WINCHELL M
GUPTA HV
SOROOSHIAN S
Citation: M. Winchell et al., ON THE SIMULATION OF INFILTRATION-EXCESS AND SATURATION-EXCESS RUNOFFUSING RADAR-BASED RAINFALL ESTIMATES - EFFECTS OF ALGORITHM UNCERTAINTY AND PIXEL AGGREGATION, Water resources research, 34(10), 1998, pp. 2655-2670
Authors:
YAPO PO
GUPTA HV
SOROOSHIAN S
Citation: Po. Yapo et al., MULTIOBJECTIVE GLOBAL OPTIMIZATION FOR HYDROLOGIC-MODELS, Journal of hydrology, 204(1-4), 1998, pp. 83-97
Authors:
HSU KL
GAO XG
SOROOSHIAN S
GUPTA HV
Citation: Kl. Hsu et al., PRECIPITATION ESTIMATION FROM REMOTELY-SENSED INFORMATION USING ARTIFICIAL NEURAL NETWORKS, Journal of applied meteorology, 36(9), 1997, pp. 1176-1190
Authors:
GAO XG
SOROOSHIAN S
GUPTA HV
Citation: Xg. Gao et al., SENSITIVITY ANALYSIS OF THE BIOSPHERE-ATMOSPHERE TRANSFER SCHEME, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 101(D3), 1996, pp. 7279-7289
Authors:
YAPO PO
GUPTA HV
SOROOSHIAN S
Citation: Po. Yapo et al., AUTOMATIC CALIBRATION OF CONCEPTUAL RAINFALL-RUNOFF MODELS - SENSITIVITY TO CALIBRATION DATA, Journal of hydrology, 181(1-4), 1996, pp. 23-48
Authors:
HSU KL
GUPTA HV
SOROOSHIAN S
Citation: Kl. Hsu et al., ARTIFICIAL NEURAL-NETWORK MODELING OF THE RAINFALL-RUNOFF PROCESS, Water resources research, 31(10), 1995, pp. 2517-2530
Risultati:
1-7
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