Article-Journal

Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important …

subhankar-ghosh
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Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference

The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric and oceanic drivers. However, the details of its underlying thermodynamic causes are …

sahara-ali
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Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference

The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric and oceanic drivers. However, the details of its underlying thermodynamic causes are …

sahara-ali
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Observed and projected changes in snow accumulation and snowline in California's snowy mountains

The Sierra Nevada and Southern Cascades-California's snowy mountains-are primary freshwater sources and natural reservoirs for the states of California and Nevada. These …

tamara-shulgina
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Multi-Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western US

Subseasonal-to-seasonal (S2S) forecasts of atmospheric rivers (ARs) are in high demand in the water supply management and flood control communities. This study focuses on a new …

zhenhai-zhang
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Impacts of Northeastern Pacific Buoy Surface Pressure Observations

Under the Atmospheric River Reconnaissance (AR Recon) Program, ocean drifting buoys (drifters) that provide surface pressure observations were deployed in the northeastern …

carolyn-a.-reynolds
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Development of a Statistical Subseasonal Forecast Tool to Predict California Atmospheric Rivers and Precipitation Based on MJO and QBO Activity

This paper examines the empirical relationship between the Madden-Julian oscillation (MJO), the quasi-biennial oscillation (QBO), and atmospheric river (AR) activity and …

christopher-m.-castellano
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Assessing the Impact of Ocean In Situ Observations on MJO Propagation Across the Maritime Continent in ECMWF Subseasonal Forecasts

Despite the well-recognized initial value nature of the subseasonal forecasts, the role of subsurface ocean initialization in subseasonal forecasts remains underexplored. Using …

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Danni Du
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A variational Bayesian approach for ensemble filtering of stochastically parametrized systems

Modern climate models use both deterministic and stochastic parametrization schemes to represent uncertainties in their physics and inputs. This work considers the problem of …

boujemaa-ait-el-fquih
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A Machine Learning Augmented Data Assimilation Method for High-Resolution Observation

The accuracy of initial conditions is an important driver of the forecast skill of numerical weather prediction models. Increases in the quantity of available measurements, in …

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Lucas Howard
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