陈上，生态与应用气象学院应用气象系讲师。2022年于西北农林科技大学获工学博士学位，同年入职南京信息工程大学。研究方向为作物产量预测和干旱影响评估。相关成果发表论文二十余篇，其中以第一作者发表SCI论文5篇、EI论文1篇。

部分代表论文：

• Chen S, Feng W, He L, Xiao W, Feng H, Yu Q, et al. 2024. Parameterization of the Ångström–Prescott formula based on machine learning benefit estimation of reference crop evapotranspiration with missing solar radiation data. Hydrological Processes, 38(2): e15091.

• Chen S, He L, Dong W, Li R, Jiang T, Li L, et al. 2022. Weather records from recent years performed better than analogue years when merging with real-time weather measurements for dynamic within-season predictions of rainfed maize yield. Agricultural and Forest Meteorology, 315: 108810.

• Chen S, He C, Huang Z, Xu X, Jiang T, He Z, et al. 2022. Using support vector machine to deal with the missing of solar radiation data in daily reference evapotranspiration estimation in China. Agricultural and Forest Meteorology, 316:108864.

• Chen S, Liang He, Cao Y, Wang R, Wu L, Wang Z, et al. 2021 Comparisons among four different  pscaling strategies for cultivar genetic parameters in rainfed spring wheat phenology simulations with the DSSAT-CERES-Wheat model, Agricultural Water Management, 258: 107181.

• Chen S, Jiang T, Ma H, He C, Xu F, Malone RW, et al. 2020. Dynamic within-season irrigation scheduling for maize production in Northwest China: a method based on weather data fusion and yield prediction by DSSAT. Agricultural and Forest Meteorology, 285-286: 107928.

• 陈上, 窦子荷, 蒋腾聪, 李华龙, 马海姣, 冯浩, 等. 2017. 基于聚类法筛选 历史相似气象数据的玉米产量DSSAT-CERES-Maize预测. 农业工程学报, 33(19): 147-155.

其他论文：

• He Z, Gong K, Qu M, Ru X, Chen S, Jiang T, Zhang J, Feng H, Yu Q, He L, He J. 2024. Clarifying the impacts of climatic coupling on plastic-mulching potato production in the loess plateau of China. Agricultural Systems, 221: 104140. 
  

• 陈治仲, 陈上, 缐子仪, 周聪, 肖薇. 2024. 黄淮海平原植被日光诱导叶绿素荧光对骤旱的响应. 农业机械学报, 55(10): 327-338.

• 冯文哲, 和志豪, 陈上, 董文彪, 李若彤, 于强,等. 2024. 基于机器学习的Angstrom-Prescott公式系数的估算. 节水灌溉, 07: 108-118.

• Li L, Wang B, Feng P, Jägermeyr J, Asseng S, Müller C, Macadam I,  Liu D L,  Waters C, Zhang Y, He Q, Shi Y, Chen S, Guo X, Li Y, He J, Feng H, Yang G, Tian H, Yu Q. 2023. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections. Communications Earth & Environment, 4(1): 362.

• He Z, JiangT, Jiang Y, Luo Q, Chen S, Gong K, et al. 2022. Gated recurrent unit models outperform other Machine learning models in prediction of minimum temperature in greenhouse Based on local weather data. Computers and Electronics in Agriculture, 202: 107416.

• 黄卓,曹银轩,徐喜娟,陈上,冯浩,王钊等. 2022. 基于多源GPP和ET产品的秦岭生态系统水分利用效率研究.水土保持学报, 36(05): 181-194+203.

• He C, Liu J, Xu F, Zhang T, Chen S, Sun Z, et al. 2020. Improving solar radiation estimation in China based on regional optimal combination of meteorological factors with machine learning methods. Energy Conversion and Management, 220: 113111.

• Ma H, Malone RW, Jiang T, Yao N, Chen S, Song L, et al. 2020. Estimating crop genetic parameters for DSSAT with modified PEST software. European Journal of Agronomy, 115: 126017.

• Jiang T, Dou Z, Liu J, Gao Y, Malone ML, Chen S, et al. 2020. Simulating the Influences of Soil Water Stress on Leaf Expansion and Senescence of Winter Wheat. Agricultural and Forest Meteorology, 291: 108061.

• Jiang T, Liu J, Gao Y, Z. Sun Z, Chen S, et al. 2020. Simulation of plant height of winter wheat under soil Water stress using modified growth functions. Agricultural Water Management, 232: 106066.

• Yao N, Li Y, Xu F, Liu J, Chen S, Ma H, et al. 2020. Permanent wilting point plays an important role in simulating winter wheat growth under water deficit conditions. Agricultural Water Management, 229: 105954.

邮编 : 210044

通讯/办公地址 : 南京信息工程大学气象楼211

邮箱 : ching@nuist.edu.cn

2017.9 -- 2022.6
西北农林科技大学       农业工程       博士       工学博士

2014.9 -- 2017.6
西北农林科技大学       农业水土工程       硕士       工学硕士

2010.9 -- 2014.6
西北农林科技大学       水利水电工程       本科       工学学士

2022.7 -- 至今

南京信息工程大学      生态与应用气象学院      中级      在岗