Hydroclimate variability and its statistical links to the large-scale climate indices for the Upper Chao Phraya River Basin, Thailand [PDF]
, 2009 The local hydroclimates get impacts from the large-scale atmospheric variables via atmospheric circulation. The developing of their relationships could enhance the understanding of hydroclimate variability.
Babel, Mukand Singh +2 more
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Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information [PDF]
, 2018 Rainfall frequency analysis, which is an important tool in hydrologic engineering, has been traditionally performed using information from gauge observations.
Faridzad, M +4 more
core +1 more source
Seasonal variability of rainfall extremes [PDF]
Atmosphere, 1976 Abstract Monthly rainfall extremes have been analyzed for three stations in Southern Ontario. The double exponential probability distribution was fitted to the extreme values for each month considered, each duration selected, and sets of annual extremes.
openaire +1 more source
Gaoyuan qixiangBased on 109 hourly rain-gauge stations from June to August during 2005 -2020， the spatial and temporal distribution of annual rainfall amount， occurrence， rainfall intensity， and duration of summer hourly extreme rainfall events in the region of ...
Ruoying LI, Xiuping YAO
doaj +1 more source
Extreme event statistics of daily rainfall: Dynamical systems approach
, 2016 We analyse the probability densities of daily rainfall amounts at a variety of locations on the Earth. The observed distributions of the amount of rainfall fit well to a q-exponential distribution with exponent q close to q=1.3.
Beck, Christian +2 more
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NON-PARAMETRIC STATISTICAL APPROACH TO CORRECT SATELLITE RAINFALL DATA IN NEAR-REAL-TIME FOR RAIN BASED FLOOD NOWCASTING [PDF]
, 2010 Floods resulting from intense rainfall are one of the most disastrous hazards in many regions of the world since they contribute greatly to personal injury and to property damage mainly as a result of their ability to strike with little warning.
Nishshanka, Prasanna Premachandra
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MAX-STABLE PROCESS WITH GEOMETRIC GAUSSIAN MODEL ON RAINFALL DATA IN SEMARANG CITY
Media Statistika, 2023 Spatial extreme value (SEV) is a statistical technique for modeling extreme events at multiple locations with spatial dependencies between locations. High intensity rainfall can cause disasters such as floods and landslides.
Arief Rachman Hakim +3 more
doaj +1 more source
Stream ecosystem responses to an extreme rainfall event across multiple catchments in southeast Alaska [PDF]
, 2015 Floods are a key component of the flow regime of many rivers and a major structuring force of stream communities. Climate change is predicted to increase the frequency of extreme rainfall (i.e. return intervals > 100 years) leading to extensive flooding,
Anderson +51 more
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A synthetic view of rainfall intensification in the West African Sahel
Environmental Research Letters, 2022 The West African Sahel has been facing for more than 30 years an increase in extreme rainfall with strong socio-economic impacts. This situation challenges decision-makers to define adaptation strategies in a rapidly changing climate.
G Chagnaud +3 more
doaj +1 more source
Radiation Protection and Environment, 2021 Understanding of extreme weather conditions at the site of interest is essentially required in the design of engineering structures so that the structures can withstand weather stresses. This paper presents an analysis of extreme values of meteorological
Deepak Kumar +5 more
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