Showing papers in "Atmospheric Research in 2017"

TL;DR: In this paper, the authors used multivariate adaptive regression splines (MARS), least square support vector machine (LSSVM), and M5Tree models by forecasting SPI in eastern Australia.

TL;DR: In this article, the performance and the hydrological utility of three satellite-based precipitation products (IMERG) were evaluated using the Variable Infiltration Capacity (VIC) distributed hydrologogical model, taking the Beijiang River Basin as the case study.

TL;DR: In this article, the authors assessed precipitation products from GPM, especially the Integrated Multi-satellitE Retrievals (GPM-3IMERGHH) and the Tropical Rainfall Measurement Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA), using gauge-based precipitation data from Far-East Asia during the pre-monsoon and monsoon seasons.

TL;DR: In this article, the authors evaluated the potential impacts of climate change on water resources of the Kelantan River Basin in north-eastern Peninsular Malaysia using the Soil and Water Assessment Tool (SWAT) model.

TL;DR: In this article, a wavelet-hybrid artificial neural network (ANN) model integrated with iterative input selection algorithm (IIS-W-ANN) is evaluated for its statistical preciseness in forecasting monthly streamflow, and it is then benchmarked against M5 Tree model.

TL;DR: Based on the precipitation data from 96 weather stations in Northwest China during 1960-2013, the Continuous Wavelet Transform (CWT) and the Mann-Kendall (MK) test were applied to analyze the precipitation spatiotemporal variations at different time scales.

TL;DR: In this article, a study has been conducted to assess the trends in temperature and temperature extremes in Iraq in recent years (1965-2015) using both ordinary Mann-Kendal (MK) test; and the modified MannKendall (m-MK) Test, which can differentiate the multi-decadal oscillatory variations from secular trends.

TL;DR: Wang et al. as discussed by the authors analyzed the temporal and spatial characteristics of atmospheric particulate matter (PM10 and PM2.5) and its relationship with meteorology over Shenyang, a city in northeast China, from January 2014 to May 2016.

TL;DR: In this article, the authors provide guidance on the use of precipitation data sets for climate research, including model validation and verification for improving physical parameterizations, and a protocol for quality assurance of both observational databases and models is discussed.

TL;DR: In this article, on-site measurements of straw smoldering in a residence with a Chinese ‘Heated Kang’ (Scenario 1) were done to determine the emissions factors (EFs) for pollutants.

TL;DR: Wang et al. as discussed by the authors investigated the effect of meteorological and chemical impacts on ozone formation in urban and suburban areas of Hangzhou, and concluded that the increasing automobiles and VOCs emissions from upwind area could result in ozone pollution in urban Hangzhou.

TL;DR: In this article, the authors examined the space-time variations of extreme precipitation across the MRC, and assessed the time-varying influences of the climate drivers using Bayesian dynamic linear regression and their combined nonlinear effects through fitting generalized additive models.

TL;DR: In this paper, a comparative analysis of three historical satellite-based precipitation datasets that include Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B43 version 7 (1998-2015), PERSIANN-CDR (1983-2015) and CHIRPS 2.0 (1981−2015) over Chile is presented.

TL;DR: In this paper, the evaluation of the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA v7) over Iran was conducted for a 16-year period extending between 1998 and 2013 using the rain gauge observation stations.

TL;DR: In this article, the mixing ratios of surface ozone (O 3 ) and nitrogen oxides (NO x ) at three different sites (urban, suburban and rural) of Ningbo were continuously measured to investigate the spatiotemporal characteristics of O 3 and its relationships with environmental variables.

TL;DR: In this article, water soluble inorganic species (WSIS) in the particulate matter (PM 10 : mean: 233.0± 124.6μgm −-3 and PM 2.5: mean: 108.0−86.22μg m −−3 ) have been used to study seasonal effect on the variation of total WSIS concentration, composition variability of inorganic aerosols and extent to which secondary formation of sulfate and nitrate aerosol occurred from their precursor gases.

TL;DR: In this paper, the authors examined the relationship between extreme ozone and PM2.5 (particular matter with an aerodynamic diameter less than 2.5μm) events and the representative meteorological parameters such as daily maximum temperature (Tmax), minimum relative humidity (RHmin), and minimum wind speed (Vmin), using the location-specific 95th or 5th percentile threshold derived from historical reanalysis data.

TL;DR: In this paper, the authors compared the performance of IMERG and RQPE with rain gauge-interpolated data, respectively, and showed that IMERG can estimate precipitation fairly well over the Ganjiang River basin, while RZPE significantly outperforms IMERG product in almost all the studied cases.

TL;DR: In this article, the authors compared the performance of five planetary boundary layer (PBL) schemes (YSU, Mellor-Yamada-Janjic scheme (MYJ), Aymmetric convective model version 2 (ACM2), Quasi Normal Scale Elimination scheme (QNSE), Mellor Yamsada-Nakanishi-Niino scheme (MYNN), and Quadratic Convolutional Model (QM) in different climatic zones over India.

TL;DR: In this paper, two years of aerosol spectral light absorption measurements, using filter based technique, from the central Indo-Gangetic plain (IGP), Gorakhpur (26.75°N, 83.38°E, 85 m aml), are analyzed to study their seasonal behavior and quantify their magnitude in terms of absorbing aerosols loading and source speciation.

TL;DR: In this article, the Clusterwise Linear Regression (CLR) technique is applied to predict monthly rainfall in Victoria, Australia using rainfall data with five input meteorological variables over the period of 1889-2014 from eight geographically diverse weather stations.

TL;DR: In this paper, a simple algorithm using matched DPR Ku/Ka radar reflectivities produces an increase of the fraction of snowfall mass detected by DPR up to 59% in an effort to increase DPR signal fidelity associated with snowfall.

TL;DR: In this paper, the authors assessed the possible changes in rainfall patterns of Sarawak in Borneo Island due to climate change through statistical downscaling of General Circulation Models (GCM) projections.

TL;DR: In this article, the authors used diagnostic ratios and positive matrix factorization (PMF) to characterize carbonaceous species, identify their possible sources, and apportion the contributions from each possible source.

TL;DR: In this paper, the average PM 2.5 levels in the field samples varied from 49.90 to 477.93μg/m 3 with the mean of 209.54 µm 3, which all largely exceeded the PM2.5 24-hour limitation value of 35.5 in Environmental Protection Administration of United States and 75 ǫm 3 in Ministry of Environmental Protection of China.

TL;DR: In this paper, the effects of climate change on various atmospheric processes are considered throughout this paper, in addition to a dedicated section on temperature and precipitation, and the atmospheric chemistry of the region is increasingly becoming of utmost importance for the area under study.

TL;DR: Wang et al. as discussed by the authors found that water-soluble organic carbon (WSOC) was the most abundant species in PM 2.5 and exhibited distinct seasonal variations: the lowest concentration occurred in spring (3.90 − 1.78μg/m 3 ) and the highest in autumn (5.82 − 3.73μg /m 3 ), indicating that OC was more aged, oxidized and hygroscopic during this season.

TL;DR: Wang et al. as discussed by the authors analyzed spatiotemporal variability of both temperature and precipitation based on the daily observation dataset at 29 meteorological stations over Gansu during 1951-2015.

TL;DR: In this article, the use of standardised precipitation index (SPI) and the enhanced vegetation index (EVI) as indicators of soil moisture was investigated and a drought sensitivity map (DSM) for vegetation cover using two one-class support vector machine (OC-SVM) algorithms.

TL;DR: In this paper, the sensitivity of boundary layer variables to five (two non-local and three local) planetary boundary layer (PBL) parameterization schemes, available in the Weather Research and Forecasting (WRF) mesoscale meteorological model, is evaluated in an experimental site in Calabria region (southern Italy), in an area characterized by a complex orography near the sea.