MeteoInfo: GIS software for meteorological data visualization and analysis

Wang, Y. Q.

doi:10.1002/met.1345

Cited by 243 publications

(112 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…S11. Cluster analysis was conducted using MeteoInfo (Wang, 2014). By examining the total spatial variance (TSV), the number of clusters was determined to be four as shown in Fig.…”

Section: The Effect Of Air Mass Originmentioning

confidence: 99%

Quantifying black carbon light absorption enhancement with a novel statistical approach

Wang

2018

Atmos. Chem. Phys.

102

View full text Add to dashboard Cite

Abstract. Black carbon (BC) particles in the atmosphere can absorb more light when coated by non-absorbing or weakly absorbing materials during atmospheric aging, due to the lensing effect. In this study, the light absorption enhancement factor, E abs , was quantified using a 1-year measurement of mass absorption efficiency (MAE) in the Pearl River Delta region (PRD). A new approach for calculating primary MAE (MAE p ), the key for E abs estimation, is demonstrated using the minimum R squared (MRS) method, exploring the inherent source independency between BC and its coating materials. A unique feature of E abs estimation with the MRS approach is its insensitivity to systematic biases in elemental carbon (EC) and σ abs measurements. The annual average E abs550 is found to be 1.50±0.48 (±1 SD) in the PRD region, exhibiting a clear seasonal pattern with higher values in summer and lower in winter. Elevated E abs in the summertime is likely associated with aged air masses, predominantly of marine origin, along with long-range transport of biomassburning-influenced air masses from Southeast Asia. Coreshell Mie simulations along with measured E abs and absorption Ångström exponent (AAE) constraints suggest that in the PRD, the coating materials are unlikely to be dominated by brown carbon and the coating thickness is higher in the rainy season than in the dry season.

show abstract

“…S11. Cluster analysis was conducted using MeteoInfo (Wang, 2014). By examining the total spatial variance (TSV), the number of clusters was determined to be four as shown in Fig.…”

Section: The Effect Of Air Mass Originmentioning

confidence: 99%

Quantifying black carbon light absorption enhancement with a novel statistical approach

Wang

2018

Atmos. Chem. Phys.

102

View full text Add to dashboard Cite

show abstract

“…Backward trajectories and clusters were calculated using NOAA-HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) model (Draxler and Rolph, 2003; http: //ready.arl.noaa.gov/HYSPLIT.php) using TrajStat, which is a free software plug-in of MeteoInfo (Wang, 2014). Gridded meteorological data for backward trajectories in HYSPLIT and the planetary boundary layer height (PBLH) were obtained from the Global Data Assimilation System (GDAS-1) operated by the US National Oceanic and Atmospheric Administration (NOAA) with 1 • ×1 • latitude and longitude horizontal resolution and 23 vertical levels from 1000 to 20 hPa (http://www.arl.noaa.gov/gdas1.php).…”

Section: Meteorological Simulationsmentioning

confidence: 99%

Surface ozone at Nam Co in the inland Tibetan Plateau: variation, synthesis comparison and regional representativeness

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The topology trees of the nucleotide and amino acid puroindoline sequences were constructed using MEGA 6.0 (Tamura et al 2007). The protein tertiary and quaternary structures were modeled using evolutionary information (Biasini et al 2014), and the geographical distributions were drawn with The Meteorological Data Information System (Wang 2014).…”

Section: Bioinformatic Analysismentioning

confidence: 99%

Diversity and distribution of puroindoline-D1 genes in Aegilops tauschii

Liu

Chen

Zhang

et al. 2015

Genet Resour Crop Evol

View full text Add to dashboard Cite

Puroindoline-D1 genes are the key genes that decide kernel texture in bread wheat, but limited genetic resources have impeded the improvement of wheat quality. In this study, the puroindoline-D1 genes from 110 accessions of Aegilops tauschii Coss. (the D genomic ancestor of bread wheat) were isolated and sequenced to identify new alleles and discover their genetic diversities. Three new alleles: Pina-D1o, PinbD1dt and Pinb-D1it, were discovered, and they were only one nucleotide different to Pina-D1a, Pinb-D1a and Pinb-D1i, respectively. Two new puroindoline proteins were translated from the Pina-D1o and PinbD1dt. Pinb-D1it coded the same protein as Pinb-D1o, Pinb-D1m, Pinb-D1h, Pinb-D1n, AJ302108, Pinb-D1i and Pinb-d1it, which are common phenotypes found at the Pina-D1 and Pinb-D1 A. tauschii locus; Pina-D1h, Pina-D1f, Pina-D1e, Pina-D1d, Pina-D1c and AY608595 also coded the same amino acid at the Pina-D1 locus. Total eight Pina-D1 alleles, seven Pinb-D1 alleles and 20 haplotypes were found in these accessions. The synonymous mutations produced two kinds of synonymous haplotypes in our experiment. The first kind contained Pina-D1d/Pinb-D1i, Pina-D1c/ Pinb-D1h, Pina-D1c/Pinb-D1i, Pina-D1d/pinb-D1h, Pina-D1j/pinb-D1i and Pina-D1e/Pinb-D1i, and the second kind contained Pina-D1a/Pinb-D1i and PinaD1a/Pina-D1it. The eight synonymous haplotypes made up the majority of haplotypes, and covered also the majority of the geographical distribution. The large numbers of synonymous haplotypes and their wide distribution suggested that the puroindoline-D1 genes play important roles in A. tauschii survival. New puroindoline alleles and the haplotypes in A. tauschii will improve our understanding of puroindolines evolution and lead to increasing of wheat quality.

show abstract

MeteoInfo: GIS software for meteorological data visualization and analysis

Cited by 243 publications

References 30 publications

Quantifying black carbon light absorption enhancement with a novel statistical approach

Quantifying black carbon light absorption enhancement with a novel statistical approach

Surface ozone at Nam Co in the inland Tibetan Plateau: variation, synthesis comparison and regional representativeness

Diversity and distribution of puroindoline-D1 genes in Aegilops tauschii

Contact Info

Product

Resources

About