Uncertainty analysis of climate change impacts on flood frequency by using hybrid machine learning methods
In the present study, for the first time, a new framework is used by combining metaheuristic
algorithms, decomposition and machine learning for flood frequency analysis under climate …
algorithms, decomposition and machine learning for flood frequency analysis under climate …
Inter-comparisons and applicability of CMIP5 GCMs, RCMs and statistically downscaled NEX-GDDP based precipitation in India
The applicability of GCMs (produced at 2° to 4°) and RCMs (produced at~ 0.5°) vary and
they might produce lots of ambiguity in their outcomes, because of their resolutions. This is …
they might produce lots of ambiguity in their outcomes, because of their resolutions. This is …
Long-term performance evaluation of the latest multi-source weighted-ensemble precipitation (MSWEP) over the highlands of indo-pak (1981–2009)
The paucity of in-situ records, particularly in the glaciated mountainous region, is an
obstacle in cryosphere ecology and environmental studies. Generally, available gauge …
obstacle in cryosphere ecology and environmental studies. Generally, available gauge …
Simulating the impact of climate change on the hydrological regimes of a sparsely gauged mountainous basin, Northern Pakistan
Projected climate changes for the 21st century may cause great uncertainties on the
hydrology of a river basin. This study explored the impacts of climate change on the water …
hydrology of a river basin. This study explored the impacts of climate change on the water …
Impacts of climate change on wheat phenology and yield in Indus Basin, Pakistan
Aim of this study is to quantify the impacts of climate change on phenology and yield of
winter wheat in rainfed and irrigated regions of Pakistan by using integration of two well …
winter wheat in rainfed and irrigated regions of Pakistan by using integration of two well …
Development of high resolution daily gridded precipitation and temperature dataset for potohar plateau of indus basin
Reliable spatial and temporal meteorological estimates are essential for accurately
modeling hydrological, ecological, and climatic processes. High-resolution gridded datasets …
modeling hydrological, ecological, and climatic processes. High-resolution gridded datasets …
An uncertainty-based regional comparative analysis on the performance of different bias correction methods in statistical downscaling of precipitation
Abstract Statistical downscaling of General Circulation Models (GCM) simulations is widely
used for projecting precipitation at different spatiotemporal scales. However, the …
used for projecting precipitation at different spatiotemporal scales. However, the …
Projections of future anthropogenic climate change in Switzerland using multi-GCM modeling
M Kobuliev - Modeling Earth Systems and Environment, 2023 - Springer
Global climate change has become a serious ecological concern, particularly in
mountainous areas. Therefore, identifying and assessing future climate change are critical …
mountainous areas. Therefore, identifying and assessing future climate change are critical …
Comparison of dynamical and statistical rainfall downscaling of CMIP5 ensembles at a small urban catchment scale
Downscaling of future projections of climatic variables from global climate models (GCMs) to
urban catchment scales is required for stormwater studies as existing GCMs are unable to …
urban catchment scales is required for stormwater studies as existing GCMs are unable to …
Effect of Distinct Evaluation Objectives on Different Precipitation Downscaling Methods and the Corresponding Potential Impacts on Catchment Runoff Modelling
X Zhang, S Qu, J Shen, Y Chen, X Yang… - Water Resources …, 2023 - Springer
As an essential tool to bridge the gap between climatic output and hydrological input, the
precipitation spatial downscaling (PSD) method exhibits divergent performance in terms of …
precipitation spatial downscaling (PSD) method exhibits divergent performance in terms of …