气象资料的统计降尺度方法综述

刘永和, 郭维栋, 冯锦明, 张可欣 - 地球科学进展, 2011 - adearth.ac.cn
统计降尺度是解决由气象模式输出的低分辨率资料到流域尺度资料转换的手段之一,
已成为一个重要的研究领域. 统计降尺度方法十分丰富, 分为传递函数法, 天气形势法和天气发生 …

Improving monsoon precipitation prediction using combined convolutional and long short term memory neural network

Q Miao, B Pan, H Wang, K Hsu, S Sorooshian - Water, 2019 - mdpi.com
Precipitation downscaling is widely employed for enhancing the resolution and accuracy of
precipitation products from general circulation models (GCMs). In this study, we propose a …

Stationary and nonstationary generalized extreme value modelling of extreme precipitation over a mountainous area under climate change

D Panagoulia, P Economou, C Caroni - Environmetrics, 2014 - Wiley Online Library
The generalized extreme value (GEV) distribution is often fitted to environmental time series
of extreme values such as annual maxima of daily precipitation. We study two …

[HTML][HTML] Monitoring of rivers and streams conditions using biological indices with emphasis on Algae: a comprehensive descriptive review toward river management

E Atazadeh - River Basin Management-Under a Changing Climate, 2023 - intechopen.com
Algal communities are robust indicators of the effect and impact of environmental flows on
river-dependent ecosystems as they deflect directly and indirectly those physical chemical …

Assessment of climate change impacts on extreme high and low flows: an improved bottom-up approach

A Alodah, O Seidou - Water, 2019 - mdpi.com
A quantitative assessment of the likelihood of all possible future states is lacking in both the
traditional top-down and the alternative bottom-up approaches to the assessment of climate …

Quantifying uncertainties in temperature projections: A factorial-analysis-based multi-ensemble downscaling (FAMED) method

YR Liu, YP Li, YK Ding - Atmospheric Research, 2021 - Elsevier
In this study, a factorial-analysis-based multi-ensemble downscaling (FAMED) method is
developed through incorporating multi-level factorial analysis and multiple statistical …

Spatio-temporal precipitation changes and their localized predictors in the Taihang Mountain region, North China

T Fu, H Gao, H Liang, J Liu - Stochastic Environmental Research and Risk …, 2021 - Springer
Spatial–temporal variations in precipitation significantly influence infiltration, runoff, and
other hydrological processes; and thus, in turn, they influence the risk of natural disasters …

[PDF][PDF] A multi-stage methodology for selecting input variables in ANN forecasting of river flows

D Panagoulia, GJ Tsekouras, G Kousiouris - Glob. Nest J, 2017 - users.ntua.gr
The scientific community has recognized the necessity for more efficiently selected inputs in
artificial neural network models (ANNs) in river flows and has worked on this despite some …

Daily rainfall prediction using generalized linear bivariate model–a case study

J George, J Letha, PG Jairaj - Procedia Technology, 2016 - Elsevier
The present study focuses on the simulation of daily rainfall series based on atmospheric
predictors and historical data using a bivariate Generalized Linear Model. Temperature and …

Nonlinear dynamics and recurrence analysis of extreme precipitation for observed and general circulation model generated climates

D Panagoulia, EI Vlahogianni - Hydrological Processes, 2014 - Wiley Online Library
A statistical framework based on nonlinear dynamics theory and recurrence quantification
analysis of dynamical systems is proposed to quantitatively identify the temporal …