Yiwen Xu

ORCID: 0000-0002-7767-0235
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About
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Research Areas
  • Atmospheric chemistry and aerosols
  • Climate variability and models
  • Yeasts and Rust Fungi Studies
  • Wheat and Barley Genetics and Pathology
  • Atmospheric and Environmental Gas Dynamics
  • Tree-ring climate responses
  • Atmospheric Ozone and Climate
  • Atmospheric aerosols and clouds
  • Marine and coastal ecosystems
  • Microbial Community Ecology and Physiology
  • Plant Disease Resistance and Genetics
  • Hydrological Forecasting Using AI
  • Environmental and Agricultural Sciences
  • Hydrology and Watershed Management Studies
  • Marine Biology and Ecology Research
  • Plant-Microbe Interactions and Immunity
  • Hydrology and Drought Analysis
  • Meteorological Phenomena and Simulations
  • Plant Water Relations and Carbon Dynamics
  • Plant responses to elevated CO2
  • Aeolian processes and effects
  • Mycorrhizal Fungi and Plant Interactions
  • Energy Load and Power Forecasting
  • Species Distribution and Climate Change
  • Soil erosion and sediment transport

Northwest A&F University
2020-2024

Nanjing University of Information Science and Technology
2019-2023

China Meteorological Administration
2019

Université Paris-Est Créteil
2018

Institut Pierre-Simon Laplace
2018

Université Paris Cité
2018

Centre National de la Recherche Scientifique
2018

Laboratoire Interuniversitaire des Systèmes Atmosphériques
2018

Laboratoire Techniques, Territoires et Sociétés
2018

East China Normal University
2013-2016

Abstract. Fluctuant and complicated hydrological processes can result in the uncertainty of runoff forecasting. Thus, it is necessary to apply multi-method integrated modeling approaches simulate runoff. Integrating ensemble empirical mode decomposition (EEMD), back-propagation artificial neural network (BPANN) nonlinear regression equation, we put forward a hybrid model annual (AR) Kaidu River northwest China. We also validate simulated effects by using coefficient determination (R2) Akaike...

10.5194/hess-20-1447-2016 article EN cc-by Hydrology and earth system sciences 2016-04-18

Abstract An integrated winter field campaign was conducted to investigate the atmospheric boundary layer structure and PM 2.5 concentration at three sites over Yangtze River delta (YRD) in China: Shouxian (a rural area), a site northern suburb of Nanjing, Dongshan residential area). Two temperature inversion layers air pollution events occurred simultaneously from 30 31 December 2016, local time, YRD. It found that two were related presence high pressure system, resulting divergence upper...

10.1175/jamc-d-19-0008.1 article EN Journal of Applied Meteorology and Climatology 2019-08-07

Stripe rust fungus Puccinia striiformis f. sp. tritici (Pst) is a destructive pathogen of wheat worldwide. Pst has macrocyclic-heteroecious lifecycle, in which one-celled urediniospores are dikaryotic, each nucleus containing one haploid genome. We successfully generated the first fully haplotype-resolved and nearly gap-free chromosome-scale genome assembly by combining PacBio HiFi sequencing trio-binning strategy. The size two assemblies was 75.59 Mb 75.91 with contig N50 4.17 4.60 Mb, both...

10.1038/s41597-024-03361-6 article EN cc-by Scientific Data 2024-05-16

Taking the Yarkand River as an example, this paper conducted integrative approach combining Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze climatic-hydrological process inland river, Northwest China from a multitime scale perspective. The main findings are follows. (1) hydrologic climatic variables, that is, annual runoff (AR), average temperature, (AAT)...

10.1155/2013/272715 article EN cc-by Advances in Meteorology 2013-01-01

Extreme surface winds and temperatures were estimated by the dynamical downscaling method combined with generalized extreme value theory for construction of Hardanger Suspension Bridge maintenance Sotra in southwestern Norway. The Weather Research Forecasting Model was used to downscale Norwegian Earth System data from 2.5° × 1.8° 1 km horizontal grids. Simulations performed control period, 1990s, projection 2050s, under RCP8.5 radiative forcing scenario. Monthly maximum compared...

10.1016/j.wace.2019.100234 article EN cc-by Weather and Climate Extremes 2019-10-13

Puccinia striiformis f. sp. tritici is the causal agent of wheat stripe rust that causes severe yield losses all over world. As a macrocyclic heteroecious fungus, it able to infect two unrelated host plants, and barberry. Its urediniospores cause disease epidemic, while its basidiospores parasitize barberry fulfill sexual reproduction. This complex life cycle poses interesting questions on different mechanisms pathogenesis underlying infection hosts. In present study, transcriptomes P....

10.1094/mpmi-08-20-0244-r article EN cc-by-nc-nd Molecular Plant-Microbe Interactions 2020-10-29

Yancheng National Nature Reserve (YNNR) in Jiangsu province is the largest wintering habitat for red-crowned cranes (Grus japonensis) world.However, Spartina alterniflora (S. alterniflora) expansion had caused a series of ecological problems.In paper, by using ETM + images as data source, GIS technology and InVEST model were used to analyze influence S. on landscape pattern quality through scenario simulation.We found that: from 2000 2020, under current conditions, percentage (PLAND) marsh...

10.15666/aeer/1803_46694683 article EN Applied Ecology and Environmental Research 2020-01-01

Experimental and population genetic approaches have reshaped our view of how fungal pathogens reproduce, with consequences for understanding invasions. Puccinia striiformis f. sp. tritici, the causal agent stripe rust, poses a severe threat to wheat production worldwide. The sexual stage P. tritici was discovered >10 years ago, but it affects evolution pathogen, especially emergence new virulent races, remains largely unknown. Here, using analyses, we demonstrate that reproduction plays an...

10.1094/phyto-08-21-0331-r article EN Phytopathology 2021-11-17

<p>In the framework of EU <span>C</span><span>opernicus</span> <span>Climate Change Service </span><span>(</span>C3S) program, a new coupled system has been developed at Météo-France (MF) to carry out seasonal forecasts 7-month range. This (called S7) is in operation real time since October 2019. S7 based upon MF climate model CNRM-CM6 used...

10.5194/egusphere-egu21-10185 article EN 2021-03-04

The hydro-climatic process in arid areas is an important academic issue, which has been paid more and attentions since the 1990s. But to date, it not received satisfactory answers. From a perspective of multi-time scales, this paper studied relationship between stream flow inland river its related climatic factors area northwest China by integrated approach combining wavelet decomposition (WD), multiple linear regression (MLR), back propagation artificial neural network (BPANN), investigated...

10.1109/geoinformatics.2013.6626099 article EN 2013-06-01

Land data assimilation aims to monitor the evolution of soil and vegetation variables. These variables are driven by climatic conditions anthropogenic factors such as agricultural practices. Monitoring terrestrial surfaces involves a number soil-plant system land cover, snow, surface albedo, water content leaf area index. can be monitored integrating satellite observations into models. This process is called assimilation. Integrating models particularly important in changing climate because...

10.5194/egusphere-egu23-1095 preprint EN 2023-02-22
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