Atmospheric River Reconnaissance Workshop Promotes Research and Operations Partnership
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anna-m.-wilson
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Annual Modulation of Diurnal Winds in the Tropical Oceans
Projections of future climate are sensitive to the representation of upper-ocean diurnal variability, including the diurnal cycle of winds. Two different methods suitable for …
donata-giglio
Uncertainty Quantification and Bayesian Inference of Cloud Parameterization in the NCAR Single Column Community Atmosphere Model (SCAM6)
Uncertainty quantification (UQ) in weather and climate models is required to assess the sensitivity of their outputs to various parameterization schemes and thereby improve …
raju-pathak
Tropical Pacific Air-Sea Interaction Processes and Biases in CESM2 and Their Relation to El Nino Development
Coupled processes and associated subsurface dynamics near the eastern edge of the Indo/western Pacific (WP) Warm Pool are important for air-sea interactions involved in tropical …
Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop
The most mature aspect of applying artificial intelligence (AI)/machine learning (ML) to problems in the atmospheric sciences is likely post-processing of model output. This …
sue-ellen-haupt
Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea
The Red Sea, home to the second-longest coral reef system in the world, is a vital resource for the Kingdom of Saudi Arabia. The Red Sea provides 90% of the Kingdom's potable …
ibrahim-hoteit
The Role of Air-Sea Interactions in Atmospheric Rivers: Case Studies Using the SKRIPS Regional Coupled Model
Atmospheric rivers (ARs) play a key role in California's water supply and are responsible for most of the extreme precipitation and major flooding along the west coast of North …
rui-sun
Monthly Modulations of ENSO Teleconnections: Implications for Potential Predictability in North America
Using a high-resolution atmospheric general circulation model simulation of unprecedented ensemble size, we examine potential predictability of monthly anomalies under El …
william-e.-chapman
Initialized Earth System prediction from subseasonal to decadal timescales
Initialized climate predictions offer distinct benefits for multiple stakeholders. This Review discusses initialized prediction on subseasonal to seasonal (S2S), seasonal to …
gerald-a.-meehl
Enhancing ensemble data assimilation into one-way-coupled models with one-step-ahead smoothing
This study investigates the filtering problem with one-way coupled (OWC) state-space systems, for which the joint ensemble Kalman filter (EnKF) is the standard solution. In this …
naila-f.-raboudi