Probabilistic radar rainfall nowcasts using empirical and theoretical uncertainty models

Author:

Dai Qiang1,Rico-Ramirez Miguel A.1,Han Dawei1,Islam Tanvir23,Liguori Sara4

Affiliation:

1. WEMRC, Department of Civil Engineering; University of Bristol; Bristol UK

2. NOAA/NESDIS Center for Satellite Applications and Research; College Park MD USA

3. Cooperative Institute for Research in the Atmosphere; Colorado State University; Fort Collins CO USA

4. School of Geographical Sciences; University of Bristol; Bristol UK

Publisher

Wiley

Subject

Water Science and Technology

Reference53 articles.

1. Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula;AghaKouchak;Advances in Water Resources,2010a

2. Copula-based uncertainty modelling: application to multisensor precipitation estimates;AghaKouchak;Hydrological Processes,2010b

3. An empirical method of estimating raingage and radar rainfall measurement bias and resolution;Barnston;Journal of Applied Meteorology,1991

4. Development of a precipitation nowcasting algorithm based upon optical flow techniques;Bowler;Journal of Hydrology,2004

5. STEPS: a probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP;Bowler;Quarterly Journal of the Royal Meteorological Society,2006

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