The MIRAGE-Shanghai experiment was designed to characterize the factors controlling regional air pollution near a Chinese megacity (Shanghai) and was conducted during September 2009. This paper provides information on the measurements conducted for this study. In order to have some deep analysis of the measurements, a regional chemical/dynamical model (version 3 of Weather Research and Forecast...

Abstract This study presents a comprehensive assessment of dynamical downscaling ERA5 Reanalysis recently performed over Italy through the COSMO-CLM model at convection-permitting scale (0.02°) period 1989–2020. Results are analysed against several independent observational datasets and reanalysis products. The capability to realistically represent climatology for 2 m temperature precipitation ...

Abstract. This study develops a neural-network-based approach for emulating high-resolution modeled precipitation data with comparable statistical properties but at greatly reduced computational cost. The key idea is to use combination of low- and simulations (that differ not only in spatial resolution also geospatial patterns) train neural network map from the former latter. Specifically, we d...

during recent years, a series of climate projections provided for surface temperature increase and precipitation changes over the next century in various time slices. national institutes are using downscaling projections for more precise results. in this research study, various climate change projections in global, continental, regional and local scales have been examined in special forest ecos...

sufficient measurements of effective parameters with suitable temporal and spatial distributions for all phenomena are needed. however, providing the data and informations are difficult and costly. so, temporal and/or spatial downscaling is of prime importance. by downscaling, one can generate data from available ones. there are diffent downscaling methods in literature but they are not compare...

A novel algorithm is developed to downscale soil moisture (SM), obtained at satellite scales of 10-40 km by utilizing its temporal correlations to historical auxiliary data at finer scales. Including such correlations drastically reduces the size of the training set needed, accounts for time-lagged relationships, and enables downscaling even in the presence of short gaps in the auxiliary data. ...