observation data obtained in a mesoscale convective system are compared to Weather Research and Forecasting(WRF)model simulations using four microphysics schemes(Morrison,WSM6,P3,SBM)with different complexities.The ma...observation data obtained in a mesoscale convective system are compared to Weather Research and Forecasting(WRF)model simulations using four microphysics schemes(Morrison,WSM6,P3,SBM)with different complexities.The main purpose of this paper is to assess the performance of the microphysics ensemble in terms of cloud microphysical properties.Results show that although the vertical distributions of liquid water content(LWC)and ice water content(IWC)simulated by the four members are quite different in the convective cloud region,they are relatively uniform in the stratiform cloud region.Overall,the results of the Morrison scheme are very similar to the ensemble average,and both of them are closer to the observations compared to the other schemes.Besides,the authors also note that all members still overpredict the LWC by a factor of 2–8 in some regions,resulting in large deviation between the observation and ensemble average.展开更多
The prediction of the particle number concentration and liquid/ice water content of cloud is significant for many aspects of atmospheric science.However,given the uncertainties in the initial and boundary conditions a...The prediction of the particle number concentration and liquid/ice water content of cloud is significant for many aspects of atmospheric science.However,given the uncertainties in the initial and boundary conditions and imperfections of microphysical schemes,the accurate prediction of these microphysical properties of cloud is still a big challenge.The ensemble approach may be a viable way to reduce forecast uncertainties.In this paper,a large-scale stratiform cloud precipitation process is studied by comparing results of a 10-member ensemble forecast model with aircraft observation data.By means of the ensemble average,the prediction of bulk parameters such as liquid water content and ice water content can be improved in comparison with the control member,but the particle number concentrations are still one to two orders of magnitude less than those from observations.Intercomparison of raindrop size spectra reveals a big distinction between observations and predictions for particles with a diameter less than 1000μm.展开更多
This paper presents the data from two-year experiments concerning with doses of sewage sludge （0, 7, 14 and 21 ton.ha^-1） and inorganic nitrogen doses （0, 50, 100 and 150 kg.ha^-1） from the Municipality of Van, wh...This paper presents the data from two-year experiments concerning with doses of sewage sludge （0, 7, 14 and 21 ton.ha^-1） and inorganic nitrogen doses （0, 50, 100 and 150 kg.ha^-1） from the Municipality of Van, which is located at an altitude of 1,725 m of eastern Anatolia in Turkey. A study was conducted to assess two different N sources on sandy-silty-clay soils grown to crested wheatgrass Agropyron cristatum （L.） Gaertn, grass pasture which had been amended with sewage sludge for two years. Plant tissue and DTPA （diethylenetriamine pentaacetic acid） extractable soil nutrient were evaluated; twelve elements were analyzed in the plant tissue and six elements in the soil extract in different soil depths. The research demonstrated that the applications produced increase contents of N, P, Mg, Mn, Zn and Pb in the plant. There was a significant （P 〈 0.01） accumulation of DTPA extractable concentrations of Fe, Mn, Cu, Zn and Pb in the top soil horizon. Also, sewage sludge resulted in 51 folded increase in extractable P in 0-20 cm soil horizon. However, DTPA concentrations of in soil showed that Fe exhibited a significant positive correlation with the concentrations of exchangeable fractions of Mn, Cu, Zn and Pb with the correlation. Positive correlations were also observed between Cu-Mn, Mn-Zn, Mn-Pb, Cu-Zn, Cu-Pb and Zn-Pb concentrations. In the same way, plant uptake of the Mn, Zn and Pb was highly correlated with concentrations of Cu, Zn and Pb in the soil. It was concluded that sewage sludge is a valuable source of nutrient and also provides an opportunity to increase soil organic matter.展开更多
基金supported by the National Key R&D Program of Chinagrant number 2018YFC1507900the Demonstration Project of Artificial Precipitation Enhancement and Hail Suppression Operation Technology at the Eastern Side of the Taihang Mountains grant number hbrywcsy-2017-2sponsored by the National Natural Science Foundation of China grant numbers 41530427 and 41875172。
文摘observation data obtained in a mesoscale convective system are compared to Weather Research and Forecasting(WRF)model simulations using four microphysics schemes(Morrison,WSM6,P3,SBM)with different complexities.The main purpose of this paper is to assess the performance of the microphysics ensemble in terms of cloud microphysical properties.Results show that although the vertical distributions of liquid water content(LWC)and ice water content(IWC)simulated by the four members are quite different in the convective cloud region,they are relatively uniform in the stratiform cloud region.Overall,the results of the Morrison scheme are very similar to the ensemble average,and both of them are closer to the observations compared to the other schemes.Besides,the authors also note that all members still overpredict the LWC by a factor of 2–8 in some regions,resulting in large deviation between the observation and ensemble average.
基金supported by the National Key R&D Program of China grant number 2018YFC1507900the Demonstration Project of Artificial Precipitation Enhancement and Hail Suppression Operation Technology at the Eastern Side of the Taihang Mountains grant number hbrywcsy-2017-2sponsored by the National Natural Science Foundation of China grant numbers 41530427 and 41875172。
文摘The prediction of the particle number concentration and liquid/ice water content of cloud is significant for many aspects of atmospheric science.However,given the uncertainties in the initial and boundary conditions and imperfections of microphysical schemes,the accurate prediction of these microphysical properties of cloud is still a big challenge.The ensemble approach may be a viable way to reduce forecast uncertainties.In this paper,a large-scale stratiform cloud precipitation process is studied by comparing results of a 10-member ensemble forecast model with aircraft observation data.By means of the ensemble average,the prediction of bulk parameters such as liquid water content and ice water content can be improved in comparison with the control member,but the particle number concentrations are still one to two orders of magnitude less than those from observations.Intercomparison of raindrop size spectra reveals a big distinction between observations and predictions for particles with a diameter less than 1000μm.
文摘This paper presents the data from two-year experiments concerning with doses of sewage sludge （0, 7, 14 and 21 ton.ha^-1） and inorganic nitrogen doses （0, 50, 100 and 150 kg.ha^-1） from the Municipality of Van, which is located at an altitude of 1,725 m of eastern Anatolia in Turkey. A study was conducted to assess two different N sources on sandy-silty-clay soils grown to crested wheatgrass Agropyron cristatum （L.） Gaertn, grass pasture which had been amended with sewage sludge for two years. Plant tissue and DTPA （diethylenetriamine pentaacetic acid） extractable soil nutrient were evaluated; twelve elements were analyzed in the plant tissue and six elements in the soil extract in different soil depths. The research demonstrated that the applications produced increase contents of N, P, Mg, Mn, Zn and Pb in the plant. There was a significant （P 〈 0.01） accumulation of DTPA extractable concentrations of Fe, Mn, Cu, Zn and Pb in the top soil horizon. Also, sewage sludge resulted in 51 folded increase in extractable P in 0-20 cm soil horizon. However, DTPA concentrations of in soil showed that Fe exhibited a significant positive correlation with the concentrations of exchangeable fractions of Mn, Cu, Zn and Pb with the correlation. Positive correlations were also observed between Cu-Mn, Mn-Zn, Mn-Pb, Cu-Zn, Cu-Pb and Zn-Pb concentrations. In the same way, plant uptake of the Mn, Zn and Pb was highly correlated with concentrations of Cu, Zn and Pb in the soil. It was concluded that sewage sludge is a valuable source of nutrient and also provides an opportunity to increase soil organic matter.
