Storm Identification and Tracking Algorithm for Modeling of Rainfall Fields Using 1-h NEXRAD Rainfall Data in Texas

Author:

Choi Janghwoan123,Olivera Francisco123,Socolofsky Scott A.123

Affiliation:

1. Research Assistant, Zachry Dept. of Civil Engineering, Texas A&M Univ., 3136 TAMU, College Station, TX 77843-3136.

2. Associate Professor, Zachry Dept. of Civil Engineering, Texas A&M Univ., 3136 TAMU, College Station, TX 77843-3136 (corresponding author).

3. Assistant Professor, Zachry Dept. of Civil Engineering, Texas A&M Univ., 3136 TAMU, College Station, TX 77843-3136.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Reference68 articles.

1. HYDRO_GEN: A spatially distributed random field generator for correlated properties

2. Hydrological Validation of a Radar-Based Nowcasting Technique

3. Blimes J. A. (1998). “A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models.” TR-97-021 International Computer Science Institute Univ. of California Berkeley Calif.

4. Aggregation-disaggregation properties of a stochastic rainfall model

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