Physically constrained generative adversarial networks for improving precipitation fields from Earth system models

P Hess, M Drüke, S Petri, FM Strnad… - Nature Machine …, 2022 - nature.com
Precipitation results from complex processes across many scales, making its accurate
simulation in Earth system models (ESMs) challenging. Existing post-processing methods …

Deep learning for improving numerical weather prediction of heavy rainfall

P Hess, N Boers - Journal of Advances in Modeling Earth …, 2022 - Wiley Online Library
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 …

Assessment of precipitation and hydrological droughts in South America through statistically downscaled CMIP6 projections

GWS Ferreira, MS Reboita, JGM Ribeiro, CA De Souza - Climate, 2023 - mdpi.com
Drought events are critical environmental threats that yield several socioeconomic impacts.
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 …

South American monsoon lifecycle projected by statistical downscaling with CMIP6-GCMs

MS Reboita, GWS Ferreira, JGM Ribeiro, RP da Rocha… - Atmosphere, 2023 - mdpi.com
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 …

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 …

Impact of extreme heatwaves on population exposure in China due to additional warming

L Wang, RV Rohli, Q Lin, S Jin, X Yan - Sustainability, 2022 - mdpi.com
Extreme heatwaves are among the most important climate-related disasters affecting public
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 …

The trend and spatial spread of multisectoral climate extremes in CMIP6 models

OE Adeyeri, W Zhou, X Wang, R Zhang, P Laux… - Scientific reports, 2022 - nature.com
Climate change could exacerbate extreme climate events. This study investigated the global
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 …