Systematic estimation errors of rain intensities in accumulation bias corrected Z-R relationships

Daniel Rosenfeld; Eyal Amitai

Systematic estimation errors of rain intensities in accumulation bias corrected Z-R relationships

Daniel Rosenfeld^*
, Eyal Amitai

^*Corresponding author for this work

Fredy & Nadine Herrmann Institute of Earth Sciences

Research output: Contribution to conference › Paper › peer-review

Abstract

A sufficient condition for large domain unbiased rainfall is a Z-R relation that matches correctly the median volume rain intensity, regardless of the slope. However, point rain intensities can still be systematically grossly erroneous, typically underestimating the high intensities and overestimating the low intensity rainfall. This can lead to underestimation of local flash floods risk, and overestimation of the stratiform component of the rainfall.

Original language	English
Pages	272-273
Number of pages	2
State	Published - 1997
Event	Proceedings of the 1997 28th Conference on Radar Meteorology - Austin, TX, USA Duration: 7 Sep 1997 → 12 Sep 1997

Conference

Conference	Proceedings of the 1997 28th Conference on Radar Meteorology
City	Austin, TX, USA
Period	7/09/97 → 12/09/97

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Cite this

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title = "Systematic estimation errors of rain intensities in accumulation bias corrected Z-R relationships",

abstract = "A sufficient condition for large domain unbiased rainfall is a Z-R relation that matches correctly the median volume rain intensity, regardless of the slope. However, point rain intensities can still be systematically grossly erroneous, typically underestimating the high intensities and overestimating the low intensity rainfall. This can lead to underestimation of local flash floods risk, and overestimation of the stratiform component of the rainfall.",

author = "Daniel Rosenfeld and Eyal Amitai",

year = "1997",

language = "אנגלית",

pages = "272--273",

note = "Proceedings of the 1997 28th Conference on Radar Meteorology ; Conference date: 07-09-1997 Through 12-09-1997",

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T1 - Systematic estimation errors of rain intensities in accumulation bias corrected Z-R relationships

AU - Rosenfeld, Daniel

AU - Amitai, Eyal

PY - 1997

Y1 - 1997

N2 - A sufficient condition for large domain unbiased rainfall is a Z-R relation that matches correctly the median volume rain intensity, regardless of the slope. However, point rain intensities can still be systematically grossly erroneous, typically underestimating the high intensities and overestimating the low intensity rainfall. This can lead to underestimation of local flash floods risk, and overestimation of the stratiform component of the rainfall.

AB - A sufficient condition for large domain unbiased rainfall is a Z-R relation that matches correctly the median volume rain intensity, regardless of the slope. However, point rain intensities can still be systematically grossly erroneous, typically underestimating the high intensities and overestimating the low intensity rainfall. This can lead to underestimation of local flash floods risk, and overestimation of the stratiform component of the rainfall.

UR - https://www.scopus.com/pages/publications/0031339620

M3 - ???researchoutput.researchoutputtypes.contributiontoconference.paper???

AN - SCOPUS:0031339620

SP - 272

EP - 273

T2 - Proceedings of the 1997 28th Conference on Radar Meteorology

Y2 - 7 September 1997 through 12 September 1997

ER -

Systematic estimation errors of rain intensities in accumulation bias corrected Z-R relationships

Abstract

Conference

UN SDGs

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