Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation-Reference-Cited by-同舟云学术

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Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation

Published:2018-01 Issue: Volume:556 Page:1096-1109
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Kim Beomgeun,Seo Dong-Jun,Noh Seong Jin,Prat Olivier P.,Nelson Brian R.

Funder

National Science Foundation

National Oceanic and Atmospheric Administration

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference66 articles.

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2. Relation between measured radar reflectivity and surface rainfall;Austin;Mon. Weather Rev.,1987

3. Spatial rainfall estimation by linear and non-linear co-kriging of radar-rainfall and raingage data;Azimi-Zonooz;Stoch. Hydrol. Hydraul.,1989

4. Recent advances in classification of observations from dual polarization weather radars;Chandrasekar;Atmos. Res. Adv. Precip. Sci.,2013

5. The quantitative precipitation estimation system for Dallas-Fort Worth (DFW) urban remote sensing network;Chen;J. Hydrol.,2015

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