Jianbing Ma^1,*, Xianghao Cui¹, Nan Jiang²

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1939-1949, 2022, DOI:10.32604/cmc.2022.025206

Abstract Sudden precipitations may bring troubles or even huge harm to people's daily lives. Hence a timely and accurate precipitation nowcasting is expected to be an indispensable part of our modern life. Traditionally, the rainfall intensity estimation from weather radar is based on the relationship between radar reflectivity factor (Z) and rainfall rate (R), which is typically estimated by location-dependent experiential formula and arguably uncertain. Therefore, in this paper, we propose a deep learning-based method to model the ZR relation. To evaluate, we conducted our experiment with the Shenzhen precipitation dataset. We proposed a combined method of deep learning and the… More >

José Carmen Soto-Correa¹, Abraham Saldaña-Vega¹, Víctor Hugo Cambrón-Sandoval¹, Laura Concostrina-Zubiri², Mariela Gómez-Romero^3,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 827-840, 2022, DOI:10.32604/phyton.2022.017929

Abstract Lichens are symbiotic organisms that comprise a fungus and a photosynthetic partner wich are recognized as a good indicator of climate change. However, our understanding of how aridity affects the diversity of saxicolous lichens in drylands is still limited. To evaluate the relationship between saxicolous lichen diversity and aridity in a central México dryland, a geographical transect was established of 100 km to build an aridity gradient in the semiarid zone of the State of Querétaro, Mexico, comprising ten sampling sites with a 10 km separation. Species richness, abundance and diversity of soil lichen species were recorded using two sampling methods: the… More >

LIXU JIANG¹, LIN NING², CHUNCHAO PU¹, ZIXIN WANG¹, BIFANG HE^1,3, JIAN HUANG^1,*

BIOCELL, Vol.46, No.2, pp. 547-557, 2022, DOI:10.32604/biocell.2021.016500

Abstract As nucleic acid-guided endonucleases, some prokaryotic Argonautes have been used as programmable nucleases. Natronobacterium gregoryi Argonaute (NgAgo) has also been proposed for gene editing, but this remains very controversial. Until now, the endogenous nucleic acids that bind to NgAgo in Natronobacterium gregoryi sp2 (N. gregoryi sp2) have not been characterized. We expressed the conserved PIWI domain of NgAgo and used it to induce anti-PIWI antibody. We also cultured the N. gregoryi sp2 strain and performed immunoprecipitation, chromatin immunoprecipitation (ChIP), and RNA immunoprecipitation (RIP) assays. The nucleic acids that endogenously bound NgAgo in N. gregoryi sp2 cells were sequenced and analyzed.… More >

Wei Fang^1,2,*, Lin Pang¹, Weinan Yi¹, Victor S. Sheng³

Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 453-466, 2021, DOI:10.32604/iasc.2021.016589

Abstract Precipitation nowcasting has become an essential technology underlying various public services ranging from weather advisories to citywide rainfall alerts. The main challenge facing many algorithms is the high non-linearity and temporal-spatial complexity of the radar image. Convolutional Long Short-Term Memory (ConvLSTM) is appropriate for modeling spatiotemporal variations as it integrates the convolution operator into recurrent state transition functions. However, the technical characteristic of encoding the input sequence into a fixed-size vector cannot guarantee that ConvLSTM maintains adequate sequence representations in the information flow, which affects the performance of the task. In this paper, we propose Attention ConvLSTM Encoder-Forecaster(AttEF) which allows… More >

Runzhe Tao^{1, *}, Yonghong Zhang¹, Lihua Wang¹, Pengyan Cai¹, Haowen Tan²

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2455-2474, 2020, DOI:10.32604/cmc.2020.011526

Abstract Aiming at the problem of radar base and ground observation stations on the Tibet is sparsely distributed and cannot achieve large-scale precipitation monitoring. UNet, an advanced machine learning (ML) method, is used to develop a robust and rapid algorithm for precipitating cloud detection based on the new-generation geostationary satellite of FengYun-4A (FY-4A). First, in this algorithm, the real-time multi-band infrared brightness temperature from FY-4A combined with the data of Digital Elevation Model (DEM) has been used as predictor variables for our model. Second, the efficiency of the feature was improved by changing the traditional convolution layer serial connection method of… More >

Shengchun Wang¹, Xiaozhong Yu¹, Lianye Liu², Jingui Huang^{1, *}, Tsz Ho Wong³, Chengcheng Jiang¹

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 459-479, 2020, DOI:10.32604/cmc.2020.010627

Abstract Radar quantitative precipitation estimation (QPE) is a key and challenging task for many designs and applications with meteorological purposes. Since the Z-R relation between radar and rain has a number of parameters on different areas, and the rainfall varies with seasons, the traditional methods are incapable of achieving high spatial and temporal resolution and thus difficult to obtain a refined rainfall estimation. This paper proposes a radar quantitative precipitation estimation algorithm based on the spatiotemporal network model (ST-QPE), which designs a convolutional time-series network QPE-Net8 and a multi-scale feature fusion time-series network QPE-Net22 to address these limitations. We report on… More >

Lu J^1,2, SX Zhang^1*, JP Fang², WL Zheng²

Phyton-International Journal of Experimental Botany, Vol.85, pp. 142-148, 2016, DOI:10.32604/phyton.2016.85.142

Abstract Precipitation, throughfall and stemflow were monitored and collected through the rainy season on a natural forest ecosystem of Pinus densata in the Gongbu Nature Reserve in Tibet. The concentrations of N, P, K, Na, Ca, Mg, Si, Mn, Fe, S, Zn and Cu were analyzed in the precipitation, throughfall and stemflow waters, Thereafter, and according to the amount of water of precipitation, throughfall and stemflow, the net input was calculated for each nutrient in the forest. The results showed that: (1) During the entire rainy season, the average concentration of different nutrients in the precipitation of the Pinus densata forest… More >

Zhang JT¹, B Xu¹, M Li²

Phyton-International Journal of Experimental Botany, Vol.80, pp. 161-166, 2011, DOI:10.32604/phyton.2011.80.161

Abstract The content of active compounds in Glycyrrhiza uralensis may vary among populations in different regions, and be influenced by environmental variables. We determined the effects of soil and climate on contents of glycyrrhizic acid and liquiritin in various populations of Glycyrrhiza uralensis. Fifty individuals from 5 rangeland populations in arid and semi-arid regions of North China were collected and analyzed. The contents of glycyrrhizic acid and liquiritin were determined using the HPLC method. Contents of glycyrrhizic acid and liquiritin varied significantly among populations as follows: Chifeng > Hangjinqi > Minqin > Aletai > Kashi. These contents were significantly correlated with… More >

Xin ZM^1,2, MH Liu², Q Lu^1,3, CA Busso⁵, YJ Zhu^1,3, Z Li², YR Huang², XL Li2, FM Luo², F Bao¹, JQ Qian^4*, YH Li^1,3*

Phyton-International Journal of Experimental Botany, Vol.87, pp. 144-155, 2018, DOI:10.32604/phyton.2018.87.144

Abstract Leaf δ¹³C is widely used to explain plant strategies related to resource availability in different environments. However, the coupled response of leaf δ¹³C to precipitation and temperature as well as the relationship between leaf δ¹³C and leaf traits remain unclear. The leaf δ¹³C and its relationship with leaf traits [leaf size (LS), leaf length (LL), leaf width (LW), leaf length to width ratio (L:W), specific leaf area (SLA) and mass-based leaf nitrogen concentration (N_mass)] were investigated on the dominant shrub species Nitraria tangutorum Bobr. in the arid region (Dengkou and Minqin) of northwestern China under the simulated increasing precipitation (PGS)… More >

Yi TANG^1,*, Carlos Alberto BUSSO²

BIOCELL, Vol.42, No.2, pp. 61-66, 2018, DOI:10.32604/biocell.2018.07015

Abstract Elm (Ulmus pumila L.) is the dominant tree species in the sparse elm woodland, the original vegetation in the Horqin Sandy Land. The effects of changes in precipitation on U. pumila trees have not been fully studied. We determined a dynamic model by considering the five stages in the U. pumila life cycle, i.e. seed, seedling, and juvenile, mature and over-mature tree stages. The effects of changes in precipitation on population density and age structure were then evaluated. Population density, after averaging all study developmental morphology stages, ranged from 16.67 individuals/m2 to 25.01 individuals/m2 under a mean annual precipitation (MAP)… More >