Modeling

Sources of uncertainty in climate projections and their relative importance for different variables, regions and seasons
June 29, 2020

A new collection of single model initial-condition large ensembles (SMILEs) can test statistical assumptions with a cleaner separation between sources of uncertainty in climate projections. In particular, the potential bias at regional scales or for variables with a lot of internal variability can be greatly reduced.

Time of emergence of the anthropogenic signal in storm-related extreme sea level at New York in the GFDL CM4 simulations.
June 1, 2020

Yin and coauthors use the new GFDL CM4 and CM4HR models to consider a series of climate change experiments under the CMIP6 protocol to study characteristics of extreme sea level events and their future evolution in a fully coupled weather, climate, sea level, and storm surge modeling system. They found that even in the absence of global warming, the Gulf Coast is most vulnerable to hurricane-induced storm surge.

A schematic of the transport structure across the Labrador Sea.
May 13, 2020

Zou and coauthors analyzed the transport and property fields across the Labrador Sea using OSNAP observations and an ocean reanalysis dataset GloSea5 to study why recent observations revealed minimal contribution of the Labrador Sea convection to the subpolar AMOC strength. They found that the density compensation has important consequences on the strength of the overturning circulation.

Efficacy of tropical width perturbations versus normalized extratropical static stability
April 14, 2020

Internal variability and anthropogenic forcing have contributed to the widening of the tropical belt during the last several decades. To better understand the effect of individual anthropogenic drivers (including aerosols) on the tropical belt, Zhao, Allen, and coauthors utilize idealized simulations with very large single forcing perturbations in comprehensive coupled ocean-atmosphere models from the PDRMIP.

Zonally averaged multi-model average shortwave low cloud feedbacks
March 25, 2020

Zelinka and coauthors compared ECS values derived from CO2 quadrupling experiments conducted with CMIP6 and CMIP5 models and found that the latest models warm more than their predecessors by about 0.5˚C. The primary culprit for the enhanced warming was shown to be clouds.

ean 2014-2016 sea surface temperature anomaly (SSTa) in the Northeast Pacific
February 28, 2020

A recent study explored sea surface temperature anomaly forecasts from an ensemble of eight global climate prediction systems contributing to NMME and found that predictability of warm temperature anomalies off the US West Coast was conditional on which process was driving the temperature anomalies in different phases of the heatwave.

Estimates of interannual variability from new and published coral records from the northern Line Islands
February 13, 2020

A recent study uses large ensembles of an idealized general circulation model to demonstrate how episodic surface warming in the Arctic can lead to delayed responses in the stratosphere that persist for about two months, even in the absence of stationary waves.

Multi-model mean evolution of the Hadley cell edge (defined by streamfunction at 500 hPa) in the 1 percent CO2 increase simulations. Copyright AGU.
January 14, 2020

Under exclusive CO2 forcing, climate models predicted twice as much Hadley cell expansion in the Southern Hemisphere as in the Northern Hemisphere. The finding was robust across models and all seasons except boreal fall.

Reconstruction of the weather on February 10, 1936 at 12 UTC
November 18, 2019

A new version 3 of the NOAA-CIRES-DOE 20th Century Reanalysis (20CRv3) recreates a 180-year history of temperature, precipitation, winds, humidity, and many other variables from below the land surface to the top of the atmosphere.

Graph image
October 10, 2019

A Bayesian network inference model was developed to account for and predict the likelihood of floods of various durations using physics informed predictors.

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