Optimization of Radar Rainfall Estimation Using Line,Area, and Volume Integrations of Gauge and Radar Data

John Lane; Takis Kasparis; Bradley M. Muller

Optimization of Radar Rainfall Estimation Using Line,Area, and Volume Integrations of Gauge and Radar Data

John Lane, Takis Kasparis, Bradley M. Muller

Research output: Contribution to conference › Presentation

Abstract

A general conceptual framework is proposed to estimate rainfall rate (R) from reflectivity (Z). In particular, a radar-derived advection velocity, spatial/temporal interpolation, and three forms of integrations are introduced to ensure that rainfall rates derived from gauges and radar are, to the extent possible, representative of the same sample volume. The result is optimized spatially varying Z-R relations that may be updated in near-real time.

Original language	American English
State	Published - Jul 1999
Externally published	Yes
Event	29th International Conference on Radar Meteorology - Montreal, Quebec, Canada Duration: Jul 1 1999 → …

Conference

Conference	29th International Conference on Radar Meteorology
Period	7/1/99 → …

Keywords

Interpolation
meteorological radar
radar reflection
rain gauges

Disciplines

Meteorology

Cite this

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title = "Optimization of Radar Rainfall Estimation Using Line,Area, and Volume Integrations of Gauge and Radar Data",

abstract = " A general conceptual framework is proposed to estimate rainfall rate (R) from reflectivity (Z). In particular, a radar-derived advection velocity, spatial/temporal interpolation, and three forms of integrations are introduced to ensure that rainfall rates derived from gauges and radar are, to the extent possible, representative of the same sample volume. The result is optimized spatially varying Z-R relations that may be updated in near-real time. ",

keywords = "Interpolation, meteorological radar, radar reflection, rain gauges",

author = "John Lane and Takis Kasparis and Muller, {Bradley M.}",

year = "1999",

month = jul,

language = "American English",

note = "29th International Conference on Radar Meteorology ; Conference date: 01-07-1999",

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TY - CONF

T1 - Optimization of Radar Rainfall Estimation Using Line,Area, and Volume Integrations of Gauge and Radar Data

AU - Lane, John

AU - Kasparis, Takis

AU - Muller, Bradley M.

PY - 1999/7

Y1 - 1999/7

N2 - A general conceptual framework is proposed to estimate rainfall rate (R) from reflectivity (Z). In particular, a radar-derived advection velocity, spatial/temporal interpolation, and three forms of integrations are introduced to ensure that rainfall rates derived from gauges and radar are, to the extent possible, representative of the same sample volume. The result is optimized spatially varying Z-R relations that may be updated in near-real time.

AB - A general conceptual framework is proposed to estimate rainfall rate (R) from reflectivity (Z). In particular, a radar-derived advection velocity, spatial/temporal interpolation, and three forms of integrations are introduced to ensure that rainfall rates derived from gauges and radar are, to the extent possible, representative of the same sample volume. The result is optimized spatially varying Z-R relations that may be updated in near-real time.

KW - Interpolation

KW - meteorological radar

KW - radar reflection

KW - rain gauges

M3 - Presentation

T2 - 29th International Conference on Radar Meteorology

Y2 - 1 July 1999

ER -