Results 131 to 140 of about 4,088,927 (359)

A Statistical–Dynamical Downscaling for the Urban Heat Island and Building Energy Consumption—Analysis of Its Uncertainties

Journal of Applied Meteorology and Climatology, 2020
High-resolution maps of the urban heat island (UHI) and building energy consumption are relevant for urban planning in the context of climate change mitigation and adaptation.
Robert Schoetter, J. Hidalgo, Renaud Jougla, V. Masson, M. Rega, J. Pergaud   +5 more
semanticscholar   +1 more source

Evaluation of Dynamically Downscaled CMIP6‐CCAM Models Over Australia [PDF]

, 2023
Sarah Chapman, Jozef Syktus, Ralph Trancoso, Marcus Thatcher, Nathan Toombs, Kenneth Koon‐Ho Wong, Alicia Takbash   +6 more
openalex   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Using the Twentieth Century Reanalysis to assess climate variability for the European wind industry

, 2015
We characterise the long-term variability of European near-surface wind speeds using 142 years of data from the Twentieth Century Reanalysis (20CR), and consider the potential of such long-baseline climate data sets for wind energy applications.
Bett, Philip E., Clark, Robin T., Thornton, Hazel E.   +2 more
core   +1 more source

Reviewing and benchmarking ecological modelling practices in the context of land use

Ecography, EarlyView.
Despite habitat loss and degradation are the primary drivers of biodiversity loss, different conclusions have been drawn about the importance of land‐use or land‐cover (LULC) change for biodiversity. Differences may be due to the difficulty of framing a coherent model design to assess LULC effects.
Elie Gaget, Martin Jung, Matthew Lewis, Florian Hofhansl, Laura Jane Graham, Eleanor Warren‐Thomas, Piero Visconti   +6 more
wiley   +1 more source

Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction

npj Climate and Atmospheric Science
As our planet is entering into the “global boiling” era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target.
Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata   +8 more
doaj   +1 more source

GFDL hurricane model track data associated with "Dynamical downscaling projections of late 21st century U.S. landfalling hurricane activity"

, 2022
Thomas R. Knutson, Joe Sirutis, Morris A. Bender, Robert E. Tuleya, Ben Schenkel   +4 more
openalex   +2 more sources

Evaluation of the Dynamical–Statistical Downscaling Model for Extended Range Precipitation Forecasts in China [PDF]

, 2022
Hongke Cai, Zuosen Zhao, Jiawen Zheng, Wei Luo, Huaiyu Li   +4 more
openalex   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source

A Comparison of ETKF and Downscaling in a Regional Ensemble Prediction System

Atmosphere, 2015
Based on the operational regional ensemble prediction system (REPS) in China Meteorological Administration (CMA), this paper carried out comparison of two initial condition perturbation methods: an ensemble transform Kalman filter (ETKF) and a dynamical
Hanbin Zhang, Jing Chen, Xiefei Zhi, Yanan Wang   +3 more
doaj   +1 more source