おhe water-bearing numerical model is undergone all round examinations during the operational forecasting experiments from 1994 to 1996. A lot of difficult problems arising from the model′s water-bearing are successf...おhe water-bearing numerical model is undergone all round examinations during the operational forecasting experiments from 1994 to 1996. A lot of difficult problems arising from the model′s water-bearing are successfully resolved in these experiments through developing and using a series of technical measures. The operational forecasting running of the water-bearing numerical model is realized stably and reliably, and satisfactory forecasts are obtained.展开更多
The real time operational severe convective weather forecast experiment carried out during May to July in 1990 over the Changjiang Delta is briefly described. The heavy rainfall and severe conveetive weather forecast ...The real time operational severe convective weather forecast experiment carried out during May to July in 1990 over the Changjiang Delta is briefly described. The heavy rainfall and severe conveetive weather forecast worksheets for the Changjiang Delta have been proposed and used in the daily forecasting. Results show that the ability of 0-12h convective weather prediction has been improved significantly after the development of the forecast methods and the establishment of a mesoscale forecast base at Shanghai Meteorological Center during 1986 to 1990.Three cases of convective weather systems (meso-alpha, meso-beta, meso-gamma) during the experiment period are described and discussed.展开更多
In this paper, based on heavy rain numerical forecast model AREM(Advanced Regional Eta Model), two different initialization schemes, LAPS and GRAPES-3DVAR, are used to run assimilation experiments of AREM-LAPS and ARE...In this paper, based on heavy rain numerical forecast model AREM(Advanced Regional Eta Model), two different initialization schemes, LAPS and GRAPES-3DVAR, are used to run assimilation experiments of AREM-LAPS and AREM-3DVAR with the same data source(NCEP forecast field, surface data and radio-soundings) during the period from 21 May to 30 July 2008 to investigate the effect of the two initialization schemes on the rainfall simulation. The result suggests that:(1) the forecast TS score by the AREM-LAPS is higher than that by the AREM-3DVAR for rainfall in different areas, at different valid time and with different intensity, especially for the heavy rain, rainstorm and extremely heavy rain;(2) the AREM-3DVAR can generally simulate the average rainfall distribution, but the forecast area is smaller and rainfall intensity is weaker than the observation, while the AREM-LAPS significantly improves the forecast;(3) the AREM-LAPS gives a better forecast for the south-north shift of rainfall bands and the rainfall intensity variation than the AREM-3DVAR;(4) the AREM-LAPS can give a better reproduction for the daily change in the mean-rainfall-rate of the main rain band, and rainfall intensity changes in the eastern part of Southwest China, the coastal area in South China, the middle-lower valleys of Yangtze river, the Valleys of Huaihe river, and Shandong peninsula, with the rainfall intensity roughly close to the observation, while the rainfall intensity simulated by the AREM-3DVAR is clearly weaker than the observation, especially in the eastern part of Southwest China; and(5) the comparison verification between the AREM-LAPS and AREM-3DVAR for more than 10 typical rainfall processes in the summer of 2008 indicates that the AREM-LAPS gives a much better forecast than AREM-3DVAR in rain-band area, rainfall location and intensity, and in particular, the rainfall intensity forecast is improved obviously.展开更多
The authors use numerical model integral products in a third level forecast of synthetically multi-level analog forecast technology.This is one of the strongest points of this study,which also includes the re-ducing m...The authors use numerical model integral products in a third level forecast of synthetically multi-level analog forecast technology.This is one of the strongest points of this study,which also includes the re-ducing mean vacant-forecast rate method,which pos-sesses many advantages with regard to filtering the analog term.Moreover,the similitude degree between samples is assessed using a combination of meteorological elements,which works better than that described using a single element in earlier analog forecast studies.Based on these techniques,the authors apply the model output,air sounding,surface observation and weather map data from 1990 to 2002 to perform an analog experiment of the quasi-stationary front rainstorm.The most important re-sults are as follows:(1) The forecast successful index is 0.36,and was improved after the forecast model was re-vised.(2) The forecast precise rate (0.59) and the lost-forecast rate (0.33) are also better than those of other methods.(3) Based on the model output data,the syn-thetically multilevel analog forecast technology can pro-duce more accurate forecasts of a quasi-stationary front rainstorm.(4) Optimal analog elements reveal that trig-gering mechanisms are located in the lower troposphere while upper level systems are more important in main-taining the phase of the rainstorm.These variables should be first taken into account in operational forecasts of the quasi-stationary front rainstorm.(5) In addition,experi-ments reveal that the position of the key zone is mainly decided by the position of the system causing the heavy rainfall.展开更多
Based on the dynamic frame of a 6-layer primitive equations model, a mesoscale primitive equations model is designed that includes larger range of physical processes. It is run in (x, y, σ) system with the model atmo...Based on the dynamic frame of a 6-layer primitive equations model, a mesoscale primitive equations model is designed that includes larger range of physical processes. It is run in (x, y, σ) system with the model atmosphere topping at 10 hPa and availability of multiple conditions of horizontal boundaries, both horizontal and vertical resolution are adjustable; the precipitation scheme includes large scale and deep cumulus convective precipitation; the ground temperature is computed using surface heat budget equations; exchanges between land atmosphere and between ocean and atmosphere are considered, the Liouis format is used in the computation of vertical exchange budget; a scheme that combines the second and fourth order is employed in horizontal diffusion in which the coefficient is the function of the location of grid points and wind fields; the integration scheme is in the form of economic central difference.With the resolution that horizontal grids are spaced at intervals of 80 km and vertical length is unequally spaced into 16 layers, the model is experimented with 26 cases of forecast. The result has shown stable model computation, good prediction of major synoptic patterns and close reproduction of real precipitation. Statistics for a number of assessment indexes are given in this paper and comparisons are made to the original 6-layer model in respect of the forecasting ability and model properties.展开更多
The numerical product of hurricane tracks vastly depends on initial observation fields. However, the forecast error is very large because of lack of observational data, especially when hurricanes are over the sea. Thi...The numerical product of hurricane tracks vastly depends on initial observation fields. However, the forecast error is very large because of lack of observational data, especially when hurricanes are over the sea. This paper shows that extra non-real-time data (dropsonde data) can improve hurricane track forecasts compared with real-time observational data, and that the wind and relative humidity components of the dropsonde data have the greatest impact on the track forecasts.展开更多
Understanding the drifting motion of a small semi-submersible drifter is of vital importance regarding monitoring surface currents and the floating pollutants in coastal regions. This work addresses this issue by esta...Understanding the drifting motion of a small semi-submersible drifter is of vital importance regarding monitoring surface currents and the floating pollutants in coastal regions. This work addresses this issue by establishing a mechanistic drifting forecast model based on kinetic analysis. Taking tide–wind–wave into consideration, the forecast model is validated against in situ drifting experiment in the Radial Sand Ridges. Model results show good performance with respect to the measured drifting features, characterized by migrating back and forth twice a day with daily downwind displacements. Trajectory models are used to evaluate the influence of the individual hydrodynamic forcing. The tidal current is the fundamental dynamic condition in the Radial Sand Ridges and has the greatest impact on the drifting distance. However, it loses its leading position in the field of the daily displacement of the used drifter. The simulations reveal that different hydrodynamic forces dominate the daily displacement of the used drifter at different wind scales. The wave-induced mass transport has the greatest influence on the daily displacement at Beaufort wind scale 5–6; while wind drag contributes mostly at wind scale 2–4.展开更多
This study provides a preliminary evaluation of the ensemble forecasting capabilities of the Model for Prediction Across Scales-Atmosphere(MPAS-A)for tropical cyclones(TCs)affecting Zhejiang Province and adjacent offs...This study provides a preliminary evaluation of the ensemble forecasting capabilities of the Model for Prediction Across Scales-Atmosphere(MPAS-A)for tropical cyclones(TCs)affecting Zhejiang Province and adjacent offshore waters in the East China Sea.Five recent high-impact TCs were retrospectively simulated using a global 60-3 km variable-resolution mesh and an eight-member ensemble that samples key physics parameterizations,including cumulus,microphysics,boundary layer,and surface layer schemes.Ensemble-mean and spread characteristics of track and intensity forecasts were assessed against best-track data from the China Meteorological Administration(CMA),while near-surface wind predictions were evaluated using tower-based observations during Typhoon Muifa(2022).Track forecasts exhibited promising skill,with median errors under 50 km at 24 h and 100 km at 48 h,while the ensemble mean was typically more accurate than the median and comparable to operational forecasts.Intensity forecasts showed larger spread and systematic biases,particularly in maximum wind speed,highlighting the influence of boundary-layer physics on ensemble variance.Case studies illustrate how differing physics choices drive divergence in storm translation,steering flow,and inner-core structure.Comparison with tower observations confirmed that the ensemble has the potential to bracket uncertainty in near-surface wind forecasts,although storm position errors remain a key limiting factor.Despite high computational cost,MPAS-A ensembles demonstrate strong potential for probabilistic TC forecasting and offshore wind risk management in this region.展开更多
Investigating the proton exchange membrane fuel cell(PEMFC)stack performance degradation phenomena is of vital importance for product development.In the study,the 1000 h durability experiment of a 5-kW fuel cell stack...Investigating the proton exchange membrane fuel cell(PEMFC)stack performance degradation phenomena is of vital importance for product development.In the study,the 1000 h durability experiment of a 5-kW fuel cell stack was performed under dynamic cyclic test conditions,and the test data containing 16 key parameters was utilized to develop the performance prediction framework based on long short-term memory(LSTM)model and LSTM model incorporating attention mechanism(Attention-LSTM).Data preprocessing and postprocessing for eight current modes as well as incremental learning approach were also presented.Experimental results show that the voltage degradation ratio is about 2.0%at the total dynamic cyclic duration of 500 h and approximately 4.8%at 1000 h.The degradation ratio at higher stack operating currents is found larger than that of lower operating currents.The calculated voltage degradation speeds among all current modes fall within the range of 25~60μV h^(-1).When it comes to model prediction performances,both LSTM and Attention-LSTM models could effectively capture the voltage variations under current rising and dropping conditions.The LSTM model exhibits superior transient prediction capabilities near current change moments while the Attention-LSTM model demonstrates smaller prediction deviations at relatively stable conditions.When the advanced forecast time reaches or exceeds 200 h,the Attention-LSTM model predictions agree better with the bench test data,and it maintains consistent prediction accuracy across different current modes.The study contributes to fuel cell stack durability performance analysis and degradation prediction.展开更多
With a mesoscale model (MM5) nested with the global spectral model of NationalMeteorological Center/CMA and especially with the forecast experiments as to rainfall andtemperature of twenty-seven sampling stations in E...With a mesoscale model (MM5) nested with the global spectral model of NationalMeteorological Center/CMA and especially with the forecast experiments as to rainfall andtemperature of twenty-seven sampling stations in East China for six months (February, March,April in 1997 and June, July, August in 1998), it has been found that the better prediction can beperformed on the condition that the surface physical process of practical land-use categories andphysical parameters is parameterized in particular forecast domain. limited-area model, land-use category, forecast展开更多
文摘おhe water-bearing numerical model is undergone all round examinations during the operational forecasting experiments from 1994 to 1996. A lot of difficult problems arising from the model′s water-bearing are successfully resolved in these experiments through developing and using a series of technical measures. The operational forecasting running of the water-bearing numerical model is realized stably and reliably, and satisfactory forecasts are obtained.
文摘The real time operational severe convective weather forecast experiment carried out during May to July in 1990 over the Changjiang Delta is briefly described. The heavy rainfall and severe conveetive weather forecast worksheets for the Changjiang Delta have been proposed and used in the daily forecasting. Results show that the ability of 0-12h convective weather prediction has been improved significantly after the development of the forecast methods and the establishment of a mesoscale forecast base at Shanghai Meteorological Center during 1986 to 1990.Three cases of convective weather systems (meso-alpha, meso-beta, meso-gamma) during the experiment period are described and discussed.
基金Scientific Research Projects Specially for Public Welfare Industries(GYHY200906010)National Natural Science Foundation of China(41075034)Project 1009 for Wuhan Heavy Rain Institute
文摘In this paper, based on heavy rain numerical forecast model AREM(Advanced Regional Eta Model), two different initialization schemes, LAPS and GRAPES-3DVAR, are used to run assimilation experiments of AREM-LAPS and AREM-3DVAR with the same data source(NCEP forecast field, surface data and radio-soundings) during the period from 21 May to 30 July 2008 to investigate the effect of the two initialization schemes on the rainfall simulation. The result suggests that:(1) the forecast TS score by the AREM-LAPS is higher than that by the AREM-3DVAR for rainfall in different areas, at different valid time and with different intensity, especially for the heavy rain, rainstorm and extremely heavy rain;(2) the AREM-3DVAR can generally simulate the average rainfall distribution, but the forecast area is smaller and rainfall intensity is weaker than the observation, while the AREM-LAPS significantly improves the forecast;(3) the AREM-LAPS gives a better forecast for the south-north shift of rainfall bands and the rainfall intensity variation than the AREM-3DVAR;(4) the AREM-LAPS can give a better reproduction for the daily change in the mean-rainfall-rate of the main rain band, and rainfall intensity changes in the eastern part of Southwest China, the coastal area in South China, the middle-lower valleys of Yangtze river, the Valleys of Huaihe river, and Shandong peninsula, with the rainfall intensity roughly close to the observation, while the rainfall intensity simulated by the AREM-3DVAR is clearly weaker than the observation, especially in the eastern part of Southwest China; and(5) the comparison verification between the AREM-LAPS and AREM-3DVAR for more than 10 typical rainfall processes in the summer of 2008 indicates that the AREM-LAPS gives a much better forecast than AREM-3DVAR in rain-band area, rainfall location and intensity, and in particular, the rainfall intensity forecast is improved obviously.
基金financially supported by the National Basic Research Program of China (Grant No. 2009CB421 401)
文摘The authors use numerical model integral products in a third level forecast of synthetically multi-level analog forecast technology.This is one of the strongest points of this study,which also includes the re-ducing mean vacant-forecast rate method,which pos-sesses many advantages with regard to filtering the analog term.Moreover,the similitude degree between samples is assessed using a combination of meteorological elements,which works better than that described using a single element in earlier analog forecast studies.Based on these techniques,the authors apply the model output,air sounding,surface observation and weather map data from 1990 to 2002 to perform an analog experiment of the quasi-stationary front rainstorm.The most important re-sults are as follows:(1) The forecast successful index is 0.36,and was improved after the forecast model was re-vised.(2) The forecast precise rate (0.59) and the lost-forecast rate (0.33) are also better than those of other methods.(3) Based on the model output data,the syn-thetically multilevel analog forecast technology can pro-duce more accurate forecasts of a quasi-stationary front rainstorm.(4) Optimal analog elements reveal that trig-gering mechanisms are located in the lower troposphere while upper level systems are more important in main-taining the phase of the rainstorm.These variables should be first taken into account in operational forecasts of the quasi-stationary front rainstorm.(5) In addition,experi-ments reveal that the position of the key zone is mainly decided by the position of the system causing the heavy rainfall.
文摘Based on the dynamic frame of a 6-layer primitive equations model, a mesoscale primitive equations model is designed that includes larger range of physical processes. It is run in (x, y, σ) system with the model atmosphere topping at 10 hPa and availability of multiple conditions of horizontal boundaries, both horizontal and vertical resolution are adjustable; the precipitation scheme includes large scale and deep cumulus convective precipitation; the ground temperature is computed using surface heat budget equations; exchanges between land atmosphere and between ocean and atmosphere are considered, the Liouis format is used in the computation of vertical exchange budget; a scheme that combines the second and fourth order is employed in horizontal diffusion in which the coefficient is the function of the location of grid points and wind fields; the integration scheme is in the form of economic central difference.With the resolution that horizontal grids are spaced at intervals of 80 km and vertical length is unequally spaced into 16 layers, the model is experimented with 26 cases of forecast. The result has shown stable model computation, good prediction of major synoptic patterns and close reproduction of real precipitation. Statistics for a number of assessment indexes are given in this paper and comparisons are made to the original 6-layer model in respect of the forecasting ability and model properties.
文摘The numerical product of hurricane tracks vastly depends on initial observation fields. However, the forecast error is very large because of lack of observational data, especially when hurricanes are over the sea. This paper shows that extra non-real-time data (dropsonde data) can improve hurricane track forecasts compared with real-time observational data, and that the wind and relative humidity components of the dropsonde data have the greatest impact on the track forecasts.
基金supported by the National Key Research and Development Program of China(Grant No.2017YFC0405401)the National Science&Technology Pillar Program(Grant No.2012BAB03B01)+1 种基金the Fundamental Research Funds for the Central Universities,Hohai University(Grant No.2014B30914)the Natural Science Foundation of Jiangsu Province(Grant No.BK2012411)
文摘Understanding the drifting motion of a small semi-submersible drifter is of vital importance regarding monitoring surface currents and the floating pollutants in coastal regions. This work addresses this issue by establishing a mechanistic drifting forecast model based on kinetic analysis. Taking tide–wind–wave into consideration, the forecast model is validated against in situ drifting experiment in the Radial Sand Ridges. Model results show good performance with respect to the measured drifting features, characterized by migrating back and forth twice a day with daily downwind displacements. Trajectory models are used to evaluate the influence of the individual hydrodynamic forcing. The tidal current is the fundamental dynamic condition in the Radial Sand Ridges and has the greatest impact on the drifting distance. However, it loses its leading position in the field of the daily displacement of the used drifter. The simulations reveal that different hydrodynamic forces dominate the daily displacement of the used drifter at different wind scales. The wave-induced mass transport has the greatest influence on the daily displacement at Beaufort wind scale 5–6; while wind drag contributes mostly at wind scale 2–4.
基金supported by Zhejiang Provincial Natural Science Foundation of China under Grant No.LQ24D050001.
文摘This study provides a preliminary evaluation of the ensemble forecasting capabilities of the Model for Prediction Across Scales-Atmosphere(MPAS-A)for tropical cyclones(TCs)affecting Zhejiang Province and adjacent offshore waters in the East China Sea.Five recent high-impact TCs were retrospectively simulated using a global 60-3 km variable-resolution mesh and an eight-member ensemble that samples key physics parameterizations,including cumulus,microphysics,boundary layer,and surface layer schemes.Ensemble-mean and spread characteristics of track and intensity forecasts were assessed against best-track data from the China Meteorological Administration(CMA),while near-surface wind predictions were evaluated using tower-based observations during Typhoon Muifa(2022).Track forecasts exhibited promising skill,with median errors under 50 km at 24 h and 100 km at 48 h,while the ensemble mean was typically more accurate than the median and comparable to operational forecasts.Intensity forecasts showed larger spread and systematic biases,particularly in maximum wind speed,highlighting the influence of boundary-layer physics on ensemble variance.Case studies illustrate how differing physics choices drive divergence in storm translation,steering flow,and inner-core structure.Comparison with tower observations confirmed that the ensemble has the potential to bracket uncertainty in near-surface wind forecasts,although storm position errors remain a key limiting factor.Despite high computational cost,MPAS-A ensembles demonstrate strong potential for probabilistic TC forecasting and offshore wind risk management in this region.
基金supported by the National Key Research and Devel-opment Program of China(No.2023YFE0109200).
文摘Investigating the proton exchange membrane fuel cell(PEMFC)stack performance degradation phenomena is of vital importance for product development.In the study,the 1000 h durability experiment of a 5-kW fuel cell stack was performed under dynamic cyclic test conditions,and the test data containing 16 key parameters was utilized to develop the performance prediction framework based on long short-term memory(LSTM)model and LSTM model incorporating attention mechanism(Attention-LSTM).Data preprocessing and postprocessing for eight current modes as well as incremental learning approach were also presented.Experimental results show that the voltage degradation ratio is about 2.0%at the total dynamic cyclic duration of 500 h and approximately 4.8%at 1000 h.The degradation ratio at higher stack operating currents is found larger than that of lower operating currents.The calculated voltage degradation speeds among all current modes fall within the range of 25~60μV h^(-1).When it comes to model prediction performances,both LSTM and Attention-LSTM models could effectively capture the voltage variations under current rising and dropping conditions.The LSTM model exhibits superior transient prediction capabilities near current change moments while the Attention-LSTM model demonstrates smaller prediction deviations at relatively stable conditions.When the advanced forecast time reaches or exceeds 200 h,the Attention-LSTM model predictions agree better with the bench test data,and it maintains consistent prediction accuracy across different current modes.The study contributes to fuel cell stack durability performance analysis and degradation prediction.
文摘With a mesoscale model (MM5) nested with the global spectral model of NationalMeteorological Center/CMA and especially with the forecast experiments as to rainfall andtemperature of twenty-seven sampling stations in East China for six months (February, March,April in 1997 and June, July, August in 1998), it has been found that the better prediction can beperformed on the condition that the surface physical process of practical land-use categories andphysical parameters is parameterized in particular forecast domain. limited-area model, land-use category, forecast
