The use of radar in Quantitative Precipitation Estimation (QPE) for radar-rainfall measurement is significantly beneficial. Radar has advantages in terms of high spatial and temporal condition in rainfall measurement and also forecasting. In Malaysia, radar application in QPE is still new and needs to be explored. This paper focuses on the Z/R derivation works of radarrainfall estimation based on rainfall classification. The works developed new Z/R relationships for Klang River Basin in Selangor area for three different general classes of rain events, namely low (10mm/hr, 30mm/hr) and also on more specific rain types during monsoon seasons. Looking at the high potential of Doppler radar in QPE, the newly formulated Z/R equations will be use...
Abstract. The method of measurement a radar rainfall is studied using both a standard Z-R, B=200 and...
This case study evaluates the suitability of radar-based quantitative precipitation estimates (QPEs)...
Radar rainfall is an alternative input data to a rainfall-runoff model and potentially can improve t...
(QPE) in radar-rainfall measurement for hydrological purposes is significantly important. For more t...
Flooding is a natural disaster that often occurs in Malaysia due to its heavy rainfall distribution....
Abstract. Over the years, research has been directed to investigate radar as potential tools for es...
and rainfall rate (R), identified as Z-R relationships have been derived to facilitate the rainfall...
Abstract— Various relationships between radar reflectivity Z and rainfall rate R commonly identifie...
Accurate rainfall estimation from radar reflectivity is crucial in hydrological modeling and quantit...
In traditional hydrologic and water resource applications, rain gauges are the commonly used rainfal...
Weather radar can offer synoptic measurement at a higher temporal and spatial resolution to extract ...
ABSTRACT: Weather radar can potentially provide high-resolution spatial and temporal rainfall estim...
Abstract—A number of factors can certainly affect the accuracy of Z-R relationships; including poor ...
Abstract—A number of factors can certainly affect the accuracy of Z-R relationships; including poor ...
This study focuses on a technique to improve runoff modeling based on radar-derived rainfall and hyd...
Abstract. The method of measurement a radar rainfall is studied using both a standard Z-R, B=200 and...
This case study evaluates the suitability of radar-based quantitative precipitation estimates (QPEs)...
Radar rainfall is an alternative input data to a rainfall-runoff model and potentially can improve t...
(QPE) in radar-rainfall measurement for hydrological purposes is significantly important. For more t...
Flooding is a natural disaster that often occurs in Malaysia due to its heavy rainfall distribution....
Abstract. Over the years, research has been directed to investigate radar as potential tools for es...
and rainfall rate (R), identified as Z-R relationships have been derived to facilitate the rainfall...
Abstract— Various relationships between radar reflectivity Z and rainfall rate R commonly identifie...
Accurate rainfall estimation from radar reflectivity is crucial in hydrological modeling and quantit...
In traditional hydrologic and water resource applications, rain gauges are the commonly used rainfal...
Weather radar can offer synoptic measurement at a higher temporal and spatial resolution to extract ...
ABSTRACT: Weather radar can potentially provide high-resolution spatial and temporal rainfall estim...
Abstract—A number of factors can certainly affect the accuracy of Z-R relationships; including poor ...
Abstract—A number of factors can certainly affect the accuracy of Z-R relationships; including poor ...
This study focuses on a technique to improve runoff modeling based on radar-derived rainfall and hyd...
Abstract. The method of measurement a radar rainfall is studied using both a standard Z-R, B=200 and...
This case study evaluates the suitability of radar-based quantitative precipitation estimates (QPEs)...
Radar rainfall is an alternative input data to a rainfall-runoff model and potentially can improve t...