Results 61 to 70 of about 8,971 (314)

Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa

Climate Services, 2018
Within the FP7 EUPORIAS project we have assessed the utility of dynamical and statistical downscaling to provide seasonal forecast for impact modelling in eastern Africa.
Grigory Nikulin, Shakeel Asharaf, María Eugenia Magariño, Sandro Calmanti, Rita M. Cardoso, Jonas Bhend, Jesús Fernández, María Dolores Frías, Kristina Fröhlich, Barbara Früh, Sixto Herrera García, Rodrigo Manzanas, José Manuel Gutiérrez, Ulf Hansson, Michael Kolax, Mark A. Liniger, Pedro M.M. Soares, Christoph Spirig, Ricardo Tome, Klaus Wyser   +19 more
doaj   +1 more source

Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia [PDF]

Proceedings of the International Association of Hydrological Sciences, 2015
Downscaling of climate projections is the most adopted method to assess the impacts of climate change at regional and local scale. In the last decade, downscaling techniques which provide reasonable improvement to resolution of General Circulation ...
H. M. S. M. Herath, P. R. Sarukkalige, V. T. V. Nguyen   +2 more
doaj   +1 more source

An NDVI-Based Statistical ET Downscaling Method [PDF]

Water, 2017
This study proposes a new method for downscaling ETWatch 1-km actual evapotranspiration (ET) products to a spatial resolution of 30 m using Landsat8 normalized difference vegetation index (NDVI) data. The NDVI is employed as an indicator of land-surface vegetation, which displays periodic spatial patterns on the land surface.
Shen Tan, Bingfang Wu, Nana Yan, Weiwei Zhu   +3 more
openaire   +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

Examining the Robustness of Weakened Orographic Influence on Precipitation in Downscaled Climate Projections Over the Western US

Geophysical Research Letters
Assessing local climate change impacts often requires downscaling coarse global climate model (GCM) output to finer resolution. Two main approaches exist: dynamical downscaling using high‐resolution regional climate models, and statistical downscaling ...
Nicholas Siler, Matthew Koszuta, Stefan Rahimi, Jesse Norris, Alex Hall, Paul Ullrich   +5 more
doaj   +1 more source

Experimental and Theoretical Investigation on the Progressive Breaking Law of Thick and Hard Rock Strata in Deep Mining

Energy Science &Engineering, EarlyView.
This work reveals the “C‐Y,” double “Y,” “π,” and “Y” fracture modes of thick, hard strata and their progressive breaking process (O‐F‐R/S mode), providing a theoretical basis for controlling strong ground pressure in deep mining. ABSTRACT In response to the dynamic hazards caused by the fracture of thick‐hard strata in deep mining, this study ...
Meilu Yu, Jianping Zuo
wiley   +1 more source

Statistical downscaling with the downscaleR package: Contribution to the VALUE intercomparison experiment [PDF]

, 2019
Abstract. The increasing demand for high-resolution climate information has attracted a growing attention for statistical downscaling methods (SD), due in part to their relative advantages and merits as compared to dynamical approaches (based on regional climate model simulations), such as their much lower computational cost and their fitness-for ...
Joaquín Bedia, Jorge Baño-Medina, Mikel N. Legasa, Maialen Iturbide, Rodrigo Manzanas, Sixto Herrera, Ana Casanueva, Daniel San-Martín, Antonio S. Cofiño, Jose Manuel Gutiérrez   +9 more
openaire   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

Energy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia

International Journal of Climatology, EarlyView.
Estimating water resources is important for regional climate impact analysis and risk estimation. The Middle East and Central Asia have largely reached the limit of sustainably usable water across their river basins and ecosystems. Strategies designed to mitigate environmental risks require a reliable estimation of water availability trends.
Paolo Reggiani, Amal Talbi, Oleksiy Boyko, Poolad Karimi, Ezio Todini   +4 more
wiley   +1 more source

Assessing Climate Change Impacts on Runoff Variability and Extremes in China Using High‐Resolution Simulations

International Journal of Climatology, EarlyView.
Future runoff in China shows strong regional and seasonal disparities, with the Southeast basin seeing the largest increase in annual runoff. Wetter summers and drier winters are expected in the south, whilst the northwest will face the opposite. Over 56% of regions are expected to experience more extreme high runoff, and over 40% face intensified low ...
Danyang Gao, Toby Richard Marthews, Guangtao Fu, Li Zhou, Fayyaz Ali Memon   +4 more
wiley   +1 more source