Results 1 to 10 of about 203,820 (287)
Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change [PDF]
Forests, 2021 Remote sensing has frequently been employed to monitor extreme climatic events, especially droughts, by identifying the anomalies of vegetation activity from the regional to global scale. However, limited research has addressed the performance of remote sensing on detecting extreme precipitation events.
Fengsong Pei, Yi Zhou
exaly +2 more sources
Geophysical Research Letters, 2016 AbstractIn winter, heavy precipitation and floods along the west coasts of midlatitude continents are largely caused by intense water vapor transport (integrated vapor transport (IVT)) within the atmospheric river of extratropical cyclones. This study builds on previous findings that showed that forecasts of IVT have higher predictability than ...
David A Lavers +2 more
exaly +2 more sources
Contribution of the Northeast Cold Vortex Index and Multiscale Synergistic Indices to Extreme Precipitation Over Northeast China [PDF]
Earth and Space Science, 2021 AbstractThe northeast cold vortex (NECV) is one of the major synoptic systems affecting Northeast China. The activity of NECV is an important reason for severe convective storms. However, research on extreme precipitation over Northeast China and their associations with the northeast cold vortex index (NECVI) is limited.
Xianghua Wu, Peng Liu, Jieqin Zhou
exaly +3 more sources
Using stochastic space-time models to map extreme precipitation in southern Portugal [PDF]
Natural Hazards and Earth System Sciences, 2008 The topographic characteristics and spatial climatic diversity are significant in the South of continental Portugal where the rainfall regime is typically Mediterranean.
A. C. Costa +3 more
doaj +2 more sources
Journal of Geoscience and Environment Protection, 2018 Based on the extreme forecast index (EFI) of ECMWF, the “observed” EFI (OEFI) of observation is defined and the EFI is calibrated. Then the EFI equivalent percentile (EFIEP) and EFI equivalent quantile (EFIEQ) are designed to forecast the daily extreme precipitation quantitatively.
exaly +3 more sources
Weather and Climate Extremes, 2022 Various climate extreme events in Thailand such as more recurrent and more intense floods, droughts, tropical storms, and extreme rainfall events pose increasing threats to the environment, water resources, and agricultural production. To assess the occurrence and impacts of extreme climate events, we have overviewed and investigated the changes of ...
S. Rojpratak, S. Supharatid
exaly +3 more sources
Impact of extreme weather events on faecal sludge management based on standardized precipitation index in Dar es Salaam. [PDF]
Sci RepIn developing countries, climate variability poses significant challenges to urban water resource management and faecal sludge management, particularly in flood- and drought-prone areas. Inadequate consideration of climate variability in faecal sludge management planning has led to service disruptions in flood- and drought-prone urban areas. This study
Mremi A +3 more
europepmc +3 more sources
AtmosphereRainfall regimes are experiencing variations due to climate change, and these variations are adequately simulated by Earth System Models at a daily scale for most regions. However, there are not enough raw outputs to study extreme and sub-daily precipitation patterns on a local scale.
David Santuy, Dario Redolat
exaly +3 more sources
Journal of Hydrology: Regional StudiesStudy region: Six regions in Algeria have been selected as follows: Ain Elhadjel, Msaad, Boussaada, Elkantara, M’sila and M’doukel.Study focus: This study focused on creating a novel hybrid VMD-ELM approach, established by combining the Variational Mode Decomposition (VMD) technique and the Extreme Learning Machine (ELM) algorithm as a preprocessing ...
Sabrina Ladouali +10 more
exaly +4 more sources
A new index to quantify the extremeness of precipitation across scales
Natural Hazards and Earth System Sciences, 2022 Abstract. Quantifying the extremeness of heavy precipitation allows for the comparison of events. Conventional quantitative indices, however, typically neglect the spatial extent or the duration, while both are important to understand potential impacts. In 2014, the weather extremity index (WEI) was suggested to quantify the extremeness of an event and
Voit, Paul, Heistermann, Maik
openaire +4 more sources