Showing papers in "Atmospheric Research in 2022"

TL;DR: In this article, the difference in historical simulations and future projections of rainfall and temperature of CMIP5 (RCP4.5 and 8.5) and CMIP6 (SSP2.4, 4.5, and 5.8) models over Southeast Asia (SEA) were evaluated to assess their capability to reproduce the spatial distribution and seasonality of European Reanalysis (ERA) rainfall and temperatures.

TL;DR: In this paper , the difference in historical simulations and future projections of rainfall and temperature of CMIP5 (RCP4.5 and 8.5) and CMIP6 (SSP2.4, 4.5, and 5.8) models over Southeast Asia (SEA) were evaluated to assess their capability to reproduce the spatial distribution and seasonality of European Reanalysis (ERA) rainfall and temperatures.

TL;DR: In this paper , the relationship between atmospheric boundary layer and temperature inversion layer was investigated based on the micropulse lidar and radiosonde measurements from February 2017 to September 2021 at atmospheric radiation measurement southern great plains site.

TL;DR: In this article, the performance of 29 CMIP6 hindcasts was evaluated according to their capability to replicate the spatial patterns of annual, winter, and summer precipitation for 1971-2014 to select a suitable GCM subset to form a robust multimodel ensemble (MME).

TL;DR: Wang et al. as mentioned in this paper presented a comprehensive evaluation on 3 high-resolution satellite-based quantitative precipitation estimates (QPEs) with reliable and independent ground-based measurements, namely, the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), the latest non-real-time post-processing version of Tropical Rainfall Measuring Mission (TRMM 3B42 V7), and the PrecIPitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), in 3

TL;DR: In this article , the occurrence of atmospheric rivers over northwest Africa towards Europe, which were accompanied by intense episodes of Saharan dust transport all the way to Scandinavia, in the winter season was highlighted.

TL;DR: In this paper , the performance of 29 CMIP6 hindcasts was evaluated according to their capability to replicate the spatial patterns of annual, winter, and summer precipitation for 1971-2014 to select a suitable GCM subset to form a robust multimodel ensemble (MME).

TL;DR: In this article , a comprehensive evaluation of these two PWV reanalysis products over China has been systematically evaluated based on 339 GNSS sites and in-situ ground meteorological observations from year 2016 to 2018.

TL;DR: In this paper , the authors presented an updated assessment of projected climate change over Greece in the near future and at the end of the 21st century, focusing on near surface temperature, precipitation, and related heat (Hot Days and Tropical Nights), cold (Frost Days), and drought (Consecutive Dry Days) climate indices.

TL;DR: In this paper , the authors assessed spatiotemporal changes in global aridity over the period 1901-2019, using five aridity indices, i.e., De Martonne aridity index (AIDM), Emberger and AIE, AIM, Pinna combinative index, and United Nations Environment Programme (UNEP) index (AIUNEP).

TL;DR: Wang et al. as discussed by the authors presented a comprehensive evaluation on 3 high-resolution quantitative precipitation estimates (QPEs) namely, the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), the latest non-real-time post-processing version of Tropical Rainfall Measuring Mission (TRMM 3B42 V7), and the PrecIPitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), in 3 basins with different climates in China.

TL;DR: In this article , the authors investigated the changes in precipitation extremes across South Asia and its five climatic zones for each 0.5 °C of global warming above the pre-industrial level from 1.5°C to 3.0°C.

TL;DR: In this article , a stacked generalization ensemble consisting of multilayer perceptron neural network (MLP), support vector machine (SVM), and random forest (RF) combined through a meta-learning algorithm with/without rescanning input covariates was applied to generate high-resolution precipitation estimates.

TL;DR: Wang et al. as mentioned in this paper evaluated the accuracy of six widely used satellite precipitation products (GSMaP, IMERG, TMPA, CMORPH, PERSIANN, and CHIRPS) from 2000 to 2017 over mainland China using 2372 rain gauges.

TL;DR: In this article , a complete analysis of low-visibility events prediction problems, formulated as both regression and classification problems, is carried out, and the performance of a large number of ML approaches in each type of problem, and evaluate their performance under a common comparison framework.

TL;DR: Wang et al. as mentioned in this paper evaluated the applicability of different potential evapotranspiration (ET0) assessment methods and the response mechanism of ET0 to climate change in environmental sensitive areas of China (ESAC).

TL;DR: In this article , the use of alternative data sources (i.e., interpolation methods and ERA5-Land reanalysis data) was combined for improving the spatially distributed precipitation estimates at the Simeto river basin, located in Eastern Sicily (Italy).

TL;DR: In this article , a comparative analysis of twelve gridded rainfall datasets in representing the spatial and temporal variation of extreme rainfall events and trends in the recent past (1983-2015) in India is presented.

TL;DR: In this paper , the authors presented the spatiotemporal variability of satellite-measured aerosol components (such as, black carbon, brown carbon, iron oxides contained in mineral dust etc.) over North China Plain (36-41°N, 113-123°E) for a heavily haze-polluted case, to demonstrate the first successful retrievals of aerosol component content and optical property directly from the Directional Polarimetric Camera (DPC)/GF-5 instrument measurements.

TL;DR: In this article , the authors evaluated the IMERG V06B final run product over Greece for a 5-year period (January 2015 to December 2019) using as reference measurements from 263 rain gauges.

TL;DR: Wang et al. as discussed by the authors analyzed and compared the dynamic impact of urban form on PM2.5 concentration in the whole country and urban agglomerations, and found that urban form and meteorological factors were closely related to the concentration of PM 2.5.

TL;DR: In this article, the authors examined the urbanization effects on changes in a set of extreme climate indices for large cities across Thailand, where has undergone rapid urbanization in recent decades, and found that significant urbanization-induced increases in the amount, frequency, intensity and magnitude of rainfall extremes at the urban stations in the Bangkok metropolis and the central part of the country.

TL;DR: In this article , the authors investigated fundamental issues on diurnal cycle variations over Sumatra, especially concerning land - sea contrasts and rain event propagations according to changing rain duration and seasons.

TL;DR: Wang et al. as mentioned in this paper analyzed the characteristics of drought and flood alternation in the Yangtze River Basin (YRB) based on precipitation data, and explored the driving forces of the YRB alternation by combining relevant meteorological factors.

TL;DR: In this paper , the authors investigate changes in population exposure to wet, dry, heat and cold extremes with 1.5 and 2.0 °C warming levels and adopt a 4-bit binary number as a compound index to represent the size of exposure increase to different extremes under different warming levels.

TL;DR: In this article , an improved integrated framework (Distribution-Evolution-Equilibrium, abbreviated as DEE) was developed to analyze the spatiotemporal characteristics of climate change, in which the precipitation (Pr) and temperature (Te) were selected as typical elements.

TL;DR: In this article , the authors investigated changes to air quality and temperature in China using the coupled regional climate-ecology model RegCM-Chem-YIBs and showed that regional emission reduction is the main factor affecting future air quality, whereas global climate change is the primary driver of future increases in air temperature.

TL;DR: In this paper , the authors investigated the spatiotemporal variability of extreme rainfall events (EREs) using India's first highest resolution regional atmospheric reanalysis, Indian Monsoon Data Assimilation and Analysis (IMDAA) during Indian Summer Monsoon (ISM) for the period 1979-2018.

TL;DR: In this article , the authors applied a CNN model to predict the next few hours of rainfall observation imagery from NASA's Global Precipitation Measurement mission and its IMERG Early Run product in assist of hurricane predictions over the U.S.-Mexico Gulf coastal region.

TL;DR: In this article , the authors constructed the XGBoost algorithm through the process of data cleaning, feature selection and super parameter optimization, and the optimized simulation of PM 2.5 and O 3 concentrations in Beijing was then carried out based on the constructed algorithm.