The Subseasonal Experiment (SubX): A Multimodel Subseasonal Prediction Experiment in:
Bulletin of the American Meteorological Society Volume 100 Issue 10 (2019) Jump to …

Upon landfall, atmospheric rivers (ARs)—plumes of intense water vapor transport—often
trigger weather and hydrologic extremes. Presently, no guidance is available to alert …

Weather and climate variations on subseasonal to decadal time scales can have enormous
social, economic, and environmental impacts, making skillful predictions on these time …

Spatially compounding droughts over multiple regions pose amplifying pressures on the
global food system, the reinsurance industry, and the global economy. Using observations …

Forecast skill of numerical weather prediction (NWP) models for precipitation accumulations
over California is rather limited at subseasonal time scales, and the low signal-to-noise ratio …

The extended range temperature prediction is of great importance for public health, energy
and agriculture. The two machine learning methods, namely, the neural networks and …

The prediction skill for precipitation anomalies in late spring and summer months—a
significant component of extreme climate events—has remained stubbornly low for years …

Prolonged shifts in long‐term average climate conditions and increasing variability in short‐
term weather conditions affect ecological processes, and represent a fundamental challenge …

Multimodel Ensembling of Subseasonal Precipitation Forecasts over North America in: Monthly
Weather Review Volume 145 Issue 10 (2017) Jump to Content Jump to Main Navigation Logo …

Compound drought and heatwaves (CDHWs) can cause significant socio-economic and
ecological impacts. A better understanding of historical spatiotemporal changes of …