Near-term climate change: Projections and predictability

TL;DR: In this article, a set of human heat stress and strain indices have been developed to ascertain the thresholds of human health and wellbeing, which are broadly grouped as direct (climatic), rational (energy balance), perception (sensation voting, e.g., PMV) indices and CFD simulations.

TL;DR: In this paper, the authors used deep learning LSTM to predict the weather of a region by measuring the value of validation RMSE and RMSE update and also predictions some weather parameters in a few days later.

TL;DR: Temperature sensitivity of radial growth of two willow dwarf shrub species from two distinct High Arctic sites is characterized and the importance of both local and regional climatic drivers for dwarf willow shrub growth in harsh polar desert habitats is highlighted.

TL;DR: In this paper, the authors used the Variable Infiltration Capacity (VIC) hydrological model, including reservoirs and irrigation modules, to assess the main reasons for the decreased inflow using the VIC model and showed that climate change was the main contributor to this inflow reduction.

TL;DR: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance the authors' knowledge of climate variability and climate change.

TL;DR: The second edition of "Statistical Methods in the Atmospheric Sciences, Second Edition" as mentioned in this paper presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting.

TL;DR: In this paper, the authors provided an assessment of black-carbon climate forcing that is comprehensive in its inclusion of all known and relevant processes and that is quantitative in providing best estimates and uncertainties of the main forcing terms: direct solar absorption; influence on liquid, mixed phase, and ice clouds; and deposition on snow and ice.

TL;DR: The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010 as mentioned in this paper, which was designed and executed as a global, high-resolution coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over this period.