Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chuanyou Ren"'
Publikováno v:
Frontiers in Agronomy, Vol 6 (2024)
Global climate change poses a great impact on crop growth, development and yield. Soybean production in Northeast China, which is one of the traditional dominant soybean production areas in China, is of great significance for developing the domestic
Externí odkaz:
https://doaj.org/article/7a7333c742c14f11ba5ec193492eef25
Autor:
Jing Wang, Zexin Sun, Xinning Wang, Ying Tang, Xinyi Li, Chuanyou Ren, Jingyao Ren, Xiaoguang Wang, Chunji Jiang, Chao Zhong, Shuli Zhao, He Zhang, Xibo Liu, Shuli Kang, Xinhua Zhao, Haiqiu Yu
Publikováno v:
Frontiers in Plant Science, Vol 13 (2023)
Although foxtail millet, as small Panicoid crop, is of drought resilient, drought stress has a significant effect on panicle of foxtail millet at the yield formation stage. In this study, the changes of panicle morphology, photosynthesis, antioxidant
Externí odkaz:
https://doaj.org/article/e6b8d749f0d24df1940c684c65060f9a
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Drought is the most common environmental stress and has had dramatic impacts on soybean (Glycine max L.) growth and yield worldwide. Therefore, to investigate the response mechanism underlying soybean resistance to drought stress, the drought-sensiti
Externí odkaz:
https://doaj.org/article/73e305b250904a8998f79123ecd5aba6
Publikováno v:
Meteorological Applications, Vol 27, Iss 1, Pp n/a-n/a (2020)
Abstract A spatially and temporally varying Bayesian inflation algorithm was applied to the assimilation of the real radar data of a mesoscale convective system (MCS), which occurred on May 8–9, 2007 in Oklahoma and Texas (USA), using the ensemble
Externí odkaz:
https://doaj.org/article/0353a991b0bf46a780ba55898e8aa046
Drought indices have been commonly used in drought monitoring and assessments, but selecting the most appropriate one under different geographical and climatic conditions is difficult. We constructed a multi-timescale integrated drought index, the En
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93b8ae03579abeb507b31de8a49db6a8
https://doi.org/10.21203/rs.3.rs-1612942/v1
https://doi.org/10.21203/rs.3.rs-1612942/v1
Publikováno v:
Advances in Atmospheric Sciences. 38:132-146
An ensemble three-dimensional ensemble-variational (3DEnVar) data assimilation (E3DA) system was developed within the Weather Research and Forecasting model’s 3DVar framework to assimilate radar data to improve convective forecasting. In this syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f0abde0902e917bb575518a8c53157f
https://doi.org/10.1007/s00376-020-0081-z
https://doi.org/10.1007/s00376-020-0081-z
Publikováno v:
Atmospheric Research. 271:106116
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dc71c3646bd2f5f1d2bccd71eb66810
https://doi.org/10.1016/j.atmosres.2022.106116
https://doi.org/10.1016/j.atmosres.2022.106116
Publikováno v:
Meteorological Applications. 27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c70cf1eb49ba48c16dfab2800c57d5
https://doi.org/10.1002/met.1801
https://doi.org/10.1002/met.1801
Publikováno v:
Atmospheric Research. 245:105070
An adaptive localization method using the hierarchical ensemble filter (HEF) technique was first applied to the ensemble Kalman filter (EnKF) radar data assimilation (DA) though observing system simulation experiments (OSSEs) for an idealized superce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5beb759c1b80825635c191982a8ffbfb
https://doi.org/10.1016/j.atmosres.2020.105070
https://doi.org/10.1016/j.atmosres.2020.105070
Publikováno v:
Chinese Geographical Science. 18:70-76
Using the daily maximum and minimum temperature dataset from 128 stations from 1960 to 2004 in Northwest China, daily extreme high temperature (EHT) and extreme low temperature (ELT) thresholds were determined by centesimal method for different stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc930eddbb7041338dd8dbf79a667dfa
https://doi.org/10.1007/s11769-008-0070-0
https://doi.org/10.1007/s11769-008-0070-0