Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China LZ Jian Fang, Wentao Yang, Yibo Luan, Juan Du, Aiwen Lin Atmospheric Research, 2019 | 209 | 2019 |
Changes in global vegetation activity and its driving factors during 1982–2013 L Zhao, A Dai, B Dong Agricultural and Forest Meteorology 249, 198-209, 2018 | 206 | 2018 |
Drought hazard assessment and spatial characteristics analysis in China B He, A Lü, J Wu, L Zhao, M Liu Journal of Geographical Sciences 21, 235-249, 2011 | 206 | 2011 |
Assessing disaster impacts and response using social media data in China: A case study of 2016 Wuhan rainstorm LZ Jian Fang, Jiameng Hu, Xianwu Shi International Journal of Disaster Risk Reduction 34, 275-282, 2019 | 129 | 2019 |
Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China J Wu, B He, A Lü, L Zhou, M Liu, L Zhao Natural Hazards 56, 785-801, 2011 | 106 | 2011 |
Quantitative assessment and spatial characteristic analysis of agricultural drought risk in China B He, J Wu, A Lü, X Cui, L Zhou, M Liu, L Zhao Natural hazards 66, 155-166, 2013 | 90 | 2013 |
Impact of meteorological drought on streamflow drought in Jinghe River Basin of China L Zhao, A Lyu, J Wu, M Hayes, Z Tang, B He, J Liu, M Liu Chinese Geographical Science 24, 694-705, 2014 | 86 | 2014 |
Observed changes in hydrological extremes and flood disaster in Yangtze River Basin: spatial–temporal variability and climate change impacts. LZ Jian Fang, Feng Kong, Jiayi Fang Natural Hazards 93, 89-107, 2018 | 61 | 2018 |
Impacts of preseason drought on vegetation spring phenology across the Northeast China Transect M Yuan, L Zhao, A Lin, L Wang, Q Li, D She, S Qu Science of the Total Environment 738, 140297, 2020 | 59 | 2020 |
Comparison of remotely sensed and meteorological data-derived drought indices in mid-eastern China L Zhou, J Zhang, J Wu, L Zhao, M Liu, A Lü, Z Wu International journal of remote sensing 33 (6), 1755-1779, 2012 | 57 | 2012 |
Regional differences in the relationship between climatic factors, vegetation, land surface conditions, and dust weather in China’s Beijing-Tianjin Sand Source Region J Wu, L Zhao, Y Zheng, A Lü Natural hazards 62, 31-44, 2012 | 56 | 2012 |
The development of a Nonstationary Standardized Precipitation Index using climate covariates: a case study in the middle and lower reaches of Yangtze River Basin, China Z Song, J Xia, D She, L Zhang, C Hu, L Zhao Journal of Hydrology 588, 125115, 2020 | 52 | 2020 |
Spatial patterns of climatological temperature lapse rate in mainland China: A multi–time scale investigation Y Li, Z Zeng, L Zhao, S Piao Journal of Geophysical Research: Atmospheres 120 (7), 2661-2675, 2015 | 45 | 2015 |
黄淮海平原及其附近地区干旱时空动态格局分析——基于标准化降雨指数 刘明, 刘晓晨, 吕爱锋, 武建军, 赵林 资源科学 33 (3), 468-476, 2011 | 43 | 2011 |
Exploring the potential of deep factorization machine and various gradient boosting models in modeling daily reference evapotranspiration in China Z Zhou, L Zhao, A Lin, W Qin, Y Lu, J Li, Y Zhong, L He Arabian Journal of Geosciences 13, 1-20, 2020 | 31 | 2020 |
The integrated surface drought index (ISDI) as an indicator for agricultural drought monitoring: theory, validation, and application in Mid-Eastern China L Zhou, J Wu, J Zhang, S Leng, M Liu, J Zhang, L Zhao, F Zhang, Y Shi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 30 | 2013 |
How do climatic and non-climatic factors contribute to the dynamics of vegetation autumn phenology in the Yellow River Basin, China? M Yuan, L Zhao, A Lin, Q Li, D She, S Qu Ecological Indicators 112, 106112, 2020 | 29 | 2020 |
Robust response of streamflow drought to different timescales of meteorological drought in Xiangjiang River Basin of China L Zhao, J Wu, J Fang Advances in Meteorology 2016 (1), 1634787, 2016 | 24 | 2016 |
黄淮海平原典型区冬小麦水分胁迫规律与灌溉策略 刘明, 武建军, 吕爱锋, 赵林 农业工程学报 26 (5), 40-44, 2010 | 21 | 2010 |
A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China C Hu, J Xia, D She, C Xu, L Zhang, Z Song, L Zhao Atmospheric research 230, 104629, 2019 | 16 | 2019 |