Physically constrained generative adversarial networks for improving precipitation fields from Earth system models
Precipitation results from complex processes across many scales, making its accurate
simulation in Earth system models (ESMs) challenging. Existing post-processing methods …
simulation in Earth system models (ESMs) challenging. Existing post-processing methods …
Deep learning for improving numerical weather prediction of heavy rainfall
The accurate prediction of rainfall, and in particular of the heaviest rainfall events, remains
challenging for numerical weather prediction (NWP) models. This may be due to subgrid …
challenging for numerical weather prediction (NWP) models. This may be due to subgrid …
Assessment of precipitation and hydrological droughts in South America through statistically downscaled CMIP6 projections
Drought events are critical environmental threats that yield several socioeconomic impacts.
Such effects are even more relevant for South America (SA) since different activities …
Such effects are even more relevant for South America (SA) since different activities …
[HTML][HTML] An assessment of water management measures for climate change adaptation of agriculture in Seewinkel
RV Cotera, L Guillaumot, RK Sahu, C Nam… - Science of the Total …, 2023 - Elsevier
To develop appropriate climate change adaptation plans, evidence of the effectiveness of
adaptation measures is required. At a regional scale, however, this information is usually …
adaptation measures is required. At a regional scale, however, this information is usually …
South American monsoon lifecycle projected by statistical downscaling with CMIP6-GCMs
This study analyzed the main features (onset, demise, and length) of the South American
Monsoon System (SAMS) projected in different time slices (2020–2039, 2040–2059, 2060 …
Monsoon System (SAMS) projected in different time slices (2020–2039, 2040–2059, 2060 …
Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts
DR Gergel, SB Malevich, KE McCusker… - Geoscientific Model …, 2024 - gmd.copernicus.org
Global climate models (GCMs) are important tools for understanding the climate system and
how it is projected to evolve under scenario-driven emissions pathways. Their output is …
how it is projected to evolve under scenario-driven emissions pathways. Their output is …
Impact of extreme heatwaves on population exposure in China due to additional warming
Extreme heatwaves are among the most important climate-related disasters affecting public
health. Assessing heatwave-related population exposures under different warming …
health. Assessing heatwave-related population exposures under different warming …
Assessment of the wind power density over South America simulated by CMIP6 models in the present and future climate
GW de Souza Ferreira, MS Reboita, JGM Ribeiro… - Climate Dynamics, 2024 - Springer
Abstract Expanding the South American renewable energy matrix to ensure more
sustainable socio-economic development, mitigate the climate change effects, and meet the …
sustainable socio-economic development, mitigate the climate change effects, and meet the …
The trend and spatial spread of multisectoral climate extremes in CMIP6 models
Climate change could exacerbate extreme climate events. This study investigated the global
and continental representations of fourteen multisectoral climate indices during the historical …
and continental representations of fourteen multisectoral climate indices during the historical …
Resilient agriculture: water management for climate change adaptation in Lower Saxony
RV Cotera, S Egerer, C Nam… - Journal of Water and …, 2024 - iwaponline.com
Climate change has increased the intensity, frequency and duration of heatwaves and
droughts in Europe turning water management into an even more complicated issue …
droughts in Europe turning water management into an even more complicated issue …