BOOK-CHAPTER

Radar Rainfall Estimation

Year: 2018 American Society of Civil Engineers eBooks Pages: 1-9   Publisher: American Society of Civil Engineers

Abstract

Radar-derived rainfall estimation is one of the most significant recent advances in hydrologic engineering and practice. This chapter describes common rainfall interpolation techniques, including Thiessen polygons, inverse distance squared weighting, and kriging. It also shows a rainfall “surface” interpolated from rainfall observed at gauge locations using the Thiessen polygon technique. Distributed hydrologic models are particularly well suited to utilizing radar rainfall. The National Centers for Environmental Information Climate Data Online provides access to NCDC’s archive of global historical weather and climate data in hourly, daily, monthly, seasonal, and yearly time steps. The chapter also presents an overview of the book’s key concepts.

Keywords:
Inverse distance weighting Radar Kriging Weather radar Meteorology Interpolation (computer graphics) Environmental science Polygon (computer graphics) Remote sensing Multivariate interpolation Geography Computer science Bilinear interpolation Machine learning

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Topics

Precipitation Measurement and Analysis
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change

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