By means of Microsoft Visual Studio.NET 2003,a graphic editing and analyzing software was developed. Oriented to the needs of climatic chart editing and analyzing technology,it has been applied to the provincial-level...By means of Microsoft Visual Studio.NET 2003,a graphic editing and analyzing software was developed. Oriented to the needs of climatic chart editing and analyzing technology,it has been applied to the provincial-level climatic operation in展开更多
2012年陕西年平均气温略偏低,年降水总量、年日照时数大部偏少,气象条件对小麦、玉米、油菜以及果业等比较适宜,无较大影响。2012年陕西先后经历了持续低温、干旱、暴雨、高温、强寒潮等多种气象灾害。1—3月、11—12月陕西省平均气温...2012年陕西年平均气温略偏低,年降水总量、年日照时数大部偏少,气象条件对小麦、玉米、油菜以及果业等比较适宜,无较大影响。2012年陕西先后经历了持续低温、干旱、暴雨、高温、强寒潮等多种气象灾害。1—3月、11—12月陕西省平均气温持续偏低;7月下旬陕北佳县26、27日连续两日降水突破极值;6月12—24日出现连续13d的区域性高温天气;4月中旬强寒潮天气致榆林、延安等地24h内降温幅度达10～12 o C。据省民政厅灾情统计,2012年陕西各类自然灾害共造成835万人(次)受灾,58人死亡(含失踪16人);农作物受灾面积75.81万hm2,其中绝收面积6.625万hm2;因灾造成直接经济损失87.23亿元,其中农业经济损失41.21亿元。展开更多
Sparse and irregular climate observations in many developing countries are not enough to satisfy the need of assessing climate change risks and planning suitable mitigation strategies.The wideused statistical downscal...Sparse and irregular climate observations in many developing countries are not enough to satisfy the need of assessing climate change risks and planning suitable mitigation strategies.The wideused statistical downscaling model(SDSM)software tools use multi-linear regression to extract linear relations between largescale and local climate variables and then produce high-resolution climate maps from sparse climate observations.The latest machine learning techniques(e.g.SRCNN,SRGAN)can extract nonlinear links,but they are only suitable for downscaling low-resolution grid data and cannot utilize the link to other climate variables to improve the downscaling performance.In this study,we proposed a novel hybrid RBF(Radial Basis Function)network by embedding several RBF networks into new RBF networks.Our model can well incorporate climate and topographical variables with different resolutions and extract their nonlinear relations for spatial downscaling.To test the performance of our model,we generated high-resolution precipitation,air temperature and humidity maps from 34 meteorological stations in Bangladesh.In terms of three statistical indicators,the accuracy of high-resolution climate maps generated by our hybrid RBF network clearly outperformed those using a multi-linear regression(MLR),Kriging interpolation or a pure RBF network.展开更多
文摘By means of Microsoft Visual Studio.NET 2003,a graphic editing and analyzing software was developed. Oriented to the needs of climatic chart editing and analyzing technology,it has been applied to the provincial-level climatic operation in
文摘2012年陕西年平均气温略偏低,年降水总量、年日照时数大部偏少,气象条件对小麦、玉米、油菜以及果业等比较适宜,无较大影响。2012年陕西先后经历了持续低温、干旱、暴雨、高温、强寒潮等多种气象灾害。1—3月、11—12月陕西省平均气温持续偏低;7月下旬陕北佳县26、27日连续两日降水突破极值;6月12—24日出现连续13d的区域性高温天气;4月中旬强寒潮天气致榆林、延安等地24h内降温幅度达10～12 o C。据省民政厅灾情统计,2012年陕西各类自然灾害共造成835万人(次)受灾,58人死亡(含失踪16人);农作物受灾面积75.81万hm2,其中绝收面积6.625万hm2;因灾造成直接经济损失87.23亿元,其中农业经济损失41.21亿元。
基金supported by the European Commission's Horizon 2020 Framework Program(no.861584),and the Taishan distinguished professorship fund.
文摘Sparse and irregular climate observations in many developing countries are not enough to satisfy the need of assessing climate change risks and planning suitable mitigation strategies.The wideused statistical downscaling model(SDSM)software tools use multi-linear regression to extract linear relations between largescale and local climate variables and then produce high-resolution climate maps from sparse climate observations.The latest machine learning techniques(e.g.SRCNN,SRGAN)can extract nonlinear links,but they are only suitable for downscaling low-resolution grid data and cannot utilize the link to other climate variables to improve the downscaling performance.In this study,we proposed a novel hybrid RBF(Radial Basis Function)network by embedding several RBF networks into new RBF networks.Our model can well incorporate climate and topographical variables with different resolutions and extract their nonlinear relations for spatial downscaling.To test the performance of our model,we generated high-resolution precipitation,air temperature and humidity maps from 34 meteorological stations in Bangladesh.In terms of three statistical indicators,the accuracy of high-resolution climate maps generated by our hybrid RBF network clearly outperformed those using a multi-linear regression(MLR),Kriging interpolation or a pure RBF network.
