Decadal climate variability and predictability: challenges and opportunities

The study of Decadal Climate Variability (DCV) and Predictability is the interdisciplinary endeavor to characterize, understand, attribute, simulate, and predict the slow, multi-year variations of climate at global (e.g. the recent slowdown of global mean temperature rise in the early 2000s) and regional scales (e.g. decadal modulation of hurricane activity in the Atlantic, ongoing drought in California or in the Sahel in the 1970s-1980s, etc.). This study remains very challenging in spite of decades of research, extensive progress in climate system modeling and improvements in the availability and coverage of a wide variety of observations. Considerable obstacles in applying this knowledge to actual predictions remain. This short article is a succint review paper about DCV and predictability. Based on listed issues and priorities, it also proposes a unifying theme referred to as “drivers of teleconnectivity” as a backbone to address and structure the core DCV research challenge. This framework goes beyond a preoccupation with changes in the global mean temperature and directly addresses the regional impacts of external (natural and anthropogenic) climate forcing and internal climate interactions; it thus explicitly deals with the societal needs for region-specific climate information. Such a framework also enables the integration of efforts in a large international research community towards advancing the observation, characterization, understanding and prediction of DCV. Recommendations to make progress are provided as part of the contribution of the CLIVAR “DCVP Research Focus” group

Solid-state NMR of a paramagnetic DIAD-Fe-II catalyst: Sensitivity, resolution enhancement, and structure-based assignments

A general protocol for the structural characterization of paramagnetic molecular solids using solid-state NMR is provided and illustrated by the characterization of a high-spin FeII catalyst precursor. We show how good NMR performance can be obtained on a molecular powder sample at natural abundance by using very fast (> 30 kHz) magic angle spinning (MAS), even though the individual NMR resonances have highly anisotropic shifts and very short relaxation times. The results include the optimization of broadband heteronuclear (proton-carbon) recoupling sequences for polarization transfer; the observation of single or multiple quantum correlation spectra between coupled spins as a tool for removing the inhomogeneous bulk magnetic susceptibility (BMS) broadening; and the combination of NMR experiments and density functional theory calculations, to yield assignments

Solid-State NMR of a Paramagnetic DIAD-Fe II Catalyst: Sensitivity, Resolution Enhancement, and Structure-Based Assignments

International audienc

Preparation of Single Site Catalysts on Oxides and Metals Prepared via Surface Organometallic Chemistry

International audienc