Assessing current and future trends of climate extremes across Brazil based on reanalyses and earth system model projections
Brazil experiences extreme weather and climate events that cause numerous economic and
social losses, and according to climate change projections, these events will increase in …
social losses, and according to climate change projections, these events will increase in …
[HTML][HTML] Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction
Cities are not only major contributors to global climate change but also stand at the forefront
of climate change impact. Quantifying and assessing the risk potentially induced by climate …
of climate change impact. Quantifying and assessing the risk potentially induced by climate …
Sequence-based statistical downscaling and its application to hydrologic simulations based on machine learning and big data
In this study, a recurrent neural network (RNN) was used to perform statistical downscaling,
and its advantages were showed compared to the traditional artificial neural network (ANN) …
and its advantages were showed compared to the traditional artificial neural network (ANN) …
The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production
J Rajbanshi, S Das - Journal of Hydrology, 2021 - Elsevier
The drought events during the summer monsoon season (June-September) have a
considerable impact on the water availability and major staple crop production in India. In …
considerable impact on the water availability and major staple crop production in India. In …
Novel statistical downscaling emulator for precipitation projections using deep Convolutional Autoencoder over Northern Africa
Abstract This study employed Machine Learning (ML) technique known as Convolutional
Autoencoder to build Statistical Downscaling Model (SDM) emulator. Eight General …
Autoencoder to build Statistical Downscaling Model (SDM) emulator. Eight General …
Impacts of land surface model and land use data on WRF model simulations of rainfall and temperature over Lake Tana Basin, Ethiopia
Abstract The Weather Research and Forecasting (WRF) model is one of the regional climate
models for dynamically downscaling climate variables at finer spatial and temporal scales …
models for dynamically downscaling climate variables at finer spatial and temporal scales …
Modeling the impact of climate change on hydrological responses in the Lake Tana basin, Ethiopia
Quantifying the impact of climate change on the spatial and temporal hydrological processes
is important for integrated water resource management. This study aimed to investigate the …
is important for integrated water resource management. This study aimed to investigate the …
Projected changes in precipitation characteristics over the Drakensberg Mountain Range
RR Takong, BJ Abiodun - International Journal of Climatology, 2023 - Wiley Online Library
This study examines the potential impacts of climate change on the characteristics of
precipitation over the Drakensberg Mountain Range (DMR) at different global warming …
precipitation over the Drakensberg Mountain Range (DMR) at different global warming …
Improving simulations of extreme precipitation events in China by the CMIP6 global climate models through statistical downscaling
J Zhang, C Li, X Zhang, T Zhao - Atmospheric Research, 2024 - Elsevier
The recently released NASA Earth Exchange Global Daily Downscaled Projections (NEX-
GDDP) dataset is a high-resolution daily downscaled dataset derived from the Coupled …
GDDP) dataset is a high-resolution daily downscaled dataset derived from the Coupled …
An effective downscaling model for operational prediction of summer precipitation over China
H Dai, K Fan - Atmospheric Research, 2021 - Elsevier
A hybrid downscaling model for operational prediction of summer precipitation at 160
stations over China is proposed in this paper. The prediction model is conducted in …
stations over China is proposed in this paper. The prediction model is conducted in …