This study presents a new Data-Enabled Design Model for high-rise buildings driven by pressure datasets, DEDM-HRP, which seamlessly combines synchronous pressure measurement databases with a rigorous computational framework to offer convenient estimation of wind load effects on high-rise buildings for their preliminary design. To respond to the need for practical applications, DEDM-HRP employs a web-based on-the-fly framework designed with user-friendly/intuitive web interfaces for the assessment of wind-induced responses as well as equivalent static wind loads in the three principal response directions, for any incident wind angle of interest, with minimum added complications or requirements of knowledge of comprehensive background theories for its use. Architectural Institute of Japan American Society of Civil Engineering Data-Enabled Design Data-Enabled Design Module for High-Rise buildings driven by Pressure datasets Equivalent Static Wind Load High Frequency Base Balance NatHaz Aerodynamic Loads Database Synchronous Pressure Measurement Tokyo Polytechnic University x and y coordinates of the point on the top floor where the acceleration is to be estimated (Fig. 1 ) x and y distances of the design column, respectively (Fig. 1) x and y coordinates of the point on the top floor where the displacement is to be estimated x and y components of the eccentricity of the mass center at the ith floor, respectively (Fig. 1) inter-story drift responses in the x and y directions at the ith floor, respectively acceleration responses in the x and y directions at point p, respectively number of building stories response directions (Fig. 1) mean loading sub-vector in the s direction zero mean aerodynamic loading sub-vector in the s direction mass and inertia sub-matrices, respectively damping and stiffness sub-matrices in the sl direction, respectively displacement, velocity, and acceleration response sub-vectors in the s direction, respectively number of modes kept in the model truncation jth generalized mass, force, damping ratio, circular frequency, mode shape sub-matrix in the s direction, respectively jth generalized displacement, velocity, and acceleration response, as well as standard deviation of the resonant modal response, respectively jth modal participation coefficient for R a generic response parameter, e.g., base moments, shears and displacements, etc. mean and standard deviation of the response process R as well as the standard deviation of its derivative, respectively peak factor, background peak factor and resonant peak factor, respectively Hermite model coefficients skewness and excess kurtosis, respectively Euler’s constant zero crossing rate observation period in seconds background and resonant base moment/torque, respectively weighting factors with respect to Mb and Mr , respectively covariance of the aerodynamic loads acting in the s direction s direction gust loading envelope and inertial ESWL, respectively s direction background, resonant and total ESWLs, respectively wind direction mean wind speed profile building height mean wind speed at the building height H power law exponent of the mean wind velocity profile building width and depth, respectively air and building bulk density drag coefficient 
A cyberbased Data-Enabled Design framework for high-rise buildings driven by synchronously measured surface pressures