Customized deep learning for precipitation bias correction and downscaling
Systematic biases and coarse resolutions are major limitations of current precipitation
datasets. Many deep learning (DL) based studies have been conducted for precipitation …
datasets. Many deep learning (DL) based studies have been conducted for precipitation …
Increases in extreme precipitation over the Northeast United States using high-resolution climate model simulations
Extreme precipitation is among the most destructive natural disasters. Simulating changes in
regional extreme precipitation remains challenging, partially limited by climate models' …
regional extreme precipitation remains challenging, partially limited by climate models' …
Multi‐Model Projection of Climate Extremes under 1.5° C–4° C Global Warming Levels across Iran
This study investigates the spatial and temporal patterns of climate extremes in Iran and
projects future changes using data from seven General Circulation Models (GCMs) that …
projects future changes using data from seven General Circulation Models (GCMs) that …
Contributions of tropical cyclones and atmospheric rivers to extreme precipitation trends over the Northeast US
Abstract The Northeast United States (NEUS) has faced the most rapidly increasing
occurrences of extreme precipitation within the US in the past few decades. Understanding …
occurrences of extreme precipitation within the US in the past few decades. Understanding …
Uncertainty of gridded precipitation at local and continent scales: a direct comparison of rainfall from SILO and AWAP in Australia
The uncertainty of gridded precipitation data, which have many engineering and scientific
applications, is investigated in this study by comparing two popular gridded products in …
applications, is investigated in this study by comparing two popular gridded products in …
[LIBRO][B] Improving the Modeling and Analysis of Tropical Convection and Precipitation Through Machine Learning Methods
G Mooers - 2023 - search.proquest.com
Our knowledge of the atmosphere has increased immensely in the last few decades
because of high-resolution" storm-resolving" climate models. With these models, we can …
because of high-resolution" storm-resolving" climate models. With these models, we can …
Study on the joint probability and return period of extreme precipitation in Baoji area based on Copula function
Y Liu, Y Su, J Bao, Z Luo - … on Industrial IoT, Big Data and …, 2023 - ieeexplore.ieee.org
The Copula function can quantitatively assess the risk of extreme precipitation under
different joint return periods. Taking Baoji area as an example, six extreme precipitation …
different joint return periods. Taking Baoji area as an example, six extreme precipitation …