Two R functions for finding dry spells in precipitation time series.
-
Updated
Jul 10, 2018 - R
Two R functions for finding dry spells in precipitation time series.
AMIP experiments for surface forcings (sea ice, SST, QBO, Eurasian snow)
Large-scale atmospheric response to Antarctic sea ice loss
PAMIP simulations to understand role of sea surface temperatures on polar amplifications
Evaluating anomalously early spring onsets in the 21st century
Historical sea ice in the Bering Sea
Coupled Natural Human Systems at the Ridge-2-Reef Climate and Life program at UC Irvine, August 2018
Climate generator using Generative Adversarial Networks
Materials for ICTP Workshop on Mathematical Models of Climate Variability, Environmental Change and Infectious Diseases
A Statistician reads published Climate Science
Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
Assessing the influence of the QBO in Arctic sea ice perturbation experiments
Large ensemble to explore robustness of stratospheric response to Arctic sea-ice loss
Mid-Latitude Evaluation System
(Non)linear atmospheric response to Arctic Amplification forcing
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.
ANN detecting signal from internal variability
Code used to identify and analyze drought clusters from gridded data.
Analysis of manuscript "The impact of rainfall variability on conflict outbreaks at the monthly level
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."