Climate generator using Generative Adversarial Networks
-
Updated
Apr 14, 2020
Climate generator using Generative Adversarial Networks
An analysis of the correlations between incidents of armed conflict, fatalities, high temperatures, and cities of traditional cultural crossroads, specifically, an analysis on the Silk Road cities, as hotbeds of violence, high heat, and cultural diversity.
A Statistician reads published Climate Science
Climate drivers of the springtime North America cooling pattern
Using neural networks to detect effects of rapid climate mitigation
Using explainable to identify regional climate signals to stratospheric aerosol injection
Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss
Timing of emergence of CONUS summertime temperatures
Analysis of manuscript "The impact of rainfall variability on conflict outbreaks at the monthly level
Two R functions for finding dry spells in precipitation time series.
Materials for ICTP Workshop on Mathematical Models of Climate Variability, Environmental Change and Infectious Diseases
(Non)linear atmospheric response to Arctic Amplification forcing
Using a neural network to predict changes in the rate of global mean surface temperature warming
PAMIP simulations to understand role of sea surface temperatures on polar amplifications
Large-scale atmospheric response to Antarctic sea ice loss
Coupled Natural Human Systems at the Ridge-2-Reef Climate and Life program at UC Irvine, August 2018
Evaluating anomalously early spring onsets in the 21st century
ANN detecting signal from internal variability
AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)
Add a description, image, and links to the climate-variability topic page so that developers can more easily learn about it.
To associate your repository with the climate-variability topic, visit your repo's landing page and select "manage topics."