Showing papers in "Atmospheric Research in 2020"

TL;DR: In this article, the authors compared the performance of models available in CMIP5 and CMIP6 consortium and their multi-model average (MMA) and found a significant improvement in model performance in capturing the spatiotemporal pattern of monsoon over Indian landmass, especially in the Western Ghats and North-east foothills of Himalayas.

TL;DR: In this paper, a five-model ensemble mean from CMIP6 was chosen to project drought characteristics in South Asia under the latest SSPs-RCPs emission scenarios (SSP1-26, SSP2-45, and SSP5-85) for the period 2020-2099.

TL;DR: In this article, an innovative trend analysis (ITA) method with a significant test is used for rainfall trend detection at 14 stations in the Yangtze River Delta (YRD) during 1961-2016.

TL;DR: In this article, the performance of precipitation simulated in the historical runs of the Climate Model Intercomparison Project Phase 6 (CMPI6) in capturing the complex spatial and temporal patterns observed over Southwestern South America (SWSA).

TL;DR: In this article, the effects of BVOC emissions on ozone and secondary organic aerosol (SOA) formation were investigated using the WRF-CMAQ modeling system, which indicated that anthropogenic emissions can interact with biogenic emissions then facilitate biogenic SOA formation.

TL;DR: In this paper, the authors developed and compared several advanced Artificial Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized with Particle Swarm Optimization (PSOANFIS), Artificial Neural Networks (ANN) and Support Vector Machines (SVM) for the prediction of daily rainfall in Hoa Binh province, Vietnam.

TL;DR: In this article, the authors evaluated the performance of MMEs developed using machine learning (ML) algorithms with different combinations of GCMs ranked based on their performance and determine the optimum number of GCM to be included in an MME.

TL;DR: In this article, the average hourly total VOCs (TVOCs) concentration was 35 −± 21 ppbv which was mainly contributed by different alkanes (41%) followed by halohydrocarbons and oxygenated volatile organic compounds (31%), aromatics (16%), alkenes (9%), and alkyne (3%).

TL;DR: In this paper, the authors evaluated the use of the daily rainfall dataset from CHIRPS with spatial resolution of 0.05° for different purposes in the states of the Brazilian Legal Amazon.

TL;DR: Regional Climate Models (RCMs) emerged 30 years ago as a transient tool to provide detailed estimates of meteorological parameters (temperature, precipitation, humidity, wind, and others) for regional applications.

TL;DR: In this article, the authors compared the performance of three satellite precipitation products (GSMaP, IMERG, and CHIRPS) over Bali Island from 2015 to 2017 in terms of ground rain gauge data over a high density of rain gauge stations (27 in-situ rain gauges) and at various elevations, rainfall intensities, and temporal scales.

TL;DR: In this article, the Pearson correlation analysis between monthly Standardized Precipitation Index accumulated periods of 1-24 months and monthly Standardizing Streamflow Index was applied to detect the propagation time between meteorological drought and hydrological drought in the upper Shaying River Basin, China.

TL;DR: Wang et al. as discussed by the authors used the cross wavelet method to explore the teleconnection between temperature and large-scale climate patterns to investigate possible causes of temperature variations of this region, and found that the warming trend in autumn was the most significant and the variation range in winter was the greatest.

TL;DR: In this paper, the performance of ten Regional Climate Model (RCMs) from the latest version of Rossby Centre of Atmospheric models (RCA4) in the simulation of precipitation over Greater Horn of Africa (GHA) from 1951-2005 was evaluated.

TL;DR: In this article, the modified version of Mann-Kendall (MK) test was used for the assessment of unidirectional changes in ETo and the driving meteorological variables.

TL;DR: In this article, the authors applied eight data mining algorithms including random forest (RF), support vector machine (SVM), SVM, bayesian additive regression trees (BART), radial basis function (RBF), extreme gradient boosting (XGBoost), regression tree analysis (RTA), Cubist model and boosted regression tree (BRT) and an ensemble modelling (EM) approach for generating spatial maps of dust provenance in the Khuzestan province, a main region with active sources for producing dust in southwestern Iran.

TL;DR: Wang et al. as mentioned in this paper evaluated the accuracy of the spatial and temporal dimensions of satellite precipitation products (SPPs) and found that the performance of SPPs in summer is relatively good and the bias (relative bias, frequency bias) in spring is large.

TL;DR: In this paper, two representative satellite-based precipitation products (Tropical Rainfall Measuring Mission (TRMM) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (CDR)) and two reanalysis-based rainfall products (China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (CMADS) and National Centers for Environmental Prediction - Climate Forecast System Reanalysis (CFSR)) were selected for evaluation and corrected against OBS.

TL;DR: The spatial and temporal changes in annual and seasonal aridity, the shift of land from one arid class to another and the effect of this shift on different landuses in Iran during 1951-2016 have been assessed in this paper.

TL;DR: In this article, three widely used Machine Learning (ML) methods namely, Support Vector Machines (SVM), Random Forests (RF), and Bayesian Artificial Neural Networks (BANN) were used for the prediction of rainfall and rainfall related extremes during Northeast Monsoon (NEM) in Peninsular Malaysia from synoptic predictors.

TL;DR: In this paper, the authors identify a large number of regional heavy rainfall events and categorize them into two major types based on the strength of synoptic forcing, i.e., frontal heavy rainfalls associated with fronts or shear lines mainly occurs over inland regions, whereas warm-sector heavy rainfall under weakly forced synoptical environment is observed in coastal areas.

TL;DR: Wang et al. as discussed by the authors evaluated the performance of the IMERG and GSMaP products over mainland China from 1 January 2015 to 31 December 2017, using daily precipitation data from 778 meteorological stations.

TL;DR: In this article, the performance of multiple datasets for the arid region of northwestern China (ARNC) over the period 1980-2014 using the observed gridded precipitation dataset (OBS) from the China Meteorological Administration (CMA).

TL;DR: In this article, performance of 31 general circulation models (GCMs) of Coupled Model Intercomparison Project Phase 5 (CMIP5) was assessed according to their ability to reconstruct the different properties of heat waves; HW frequency, HW duration and HW index estimated using Princeton Global Meteorological Forcing (PGF) daily temperature data for the period 1961 to 2005 in order to generate an ensemble for the projection of HWs in Pakistan.

TL;DR: In this paper, the authors analyzed the changing of the Aral Sea from 1960 to 2018, and detected the time for slowdown of retreat, then explored the driving forces, which led to a slowing down of the sea's notorious shrinkage.

TL;DR: In this paper, a set of models was used to assess the spatial and temporal distributions of droughts for the arid, the semi-arid and semi-humid, as well as the humid climatic zones in China for 1961-2017.

TL;DR: In this article, the authors examined the changes in precipitation, temperature and climate extremes (23 indices) in the Teesta River basin in Eastern Himalayas for the period 1951-2100.

TL;DR: Li et al. as mentioned in this paper comprehensively evaluated the Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (IMERG), especially on heavy and extreme rainfall events, by using 144 rain gauge observations at daily/hourly scale from April 1, 2014 to December 31, 2017 over the Sichuan Province, China.

TL;DR: In this article, the authors explored the impact of coal-to-gas project on air pollution around Beijing, the pollution observation data during the heating periods (from Nov.15 to Mar.15) of 2017 and 2018 at Xianghe Observatory in Langfang, Hebei Province of China, were analyzed in combination with meteorological data and fuel incremental statistics.

TL;DR: The temporal variability of the aridity index (AI) in Greece is examined over an almost century period (1900-1997) and for a number of meteorological stations according to data availability.