Capacity of the PERSIANN-CDR Product in Detecting Extreme Precipitation over Huai River Basin, China
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Shanlei Sun | Wanrong Shi | Rongfan Chai | Guojie Wang | Jiazhi Wang | Guojie Wang | Shanlei Sun | Rongfan Chai | Jiazhi Wang | Wanrong Shi
[1] Matteo Gentilucci,et al. Preliminary Data Validation and Reconstruction of Temperature and Precipitation in Central Italy , 2018, Geosciences.
[2] Bin He,et al. Floods and associated socioeconomic damages in China over the last century , 2016, Natural Hazards.
[3] Soroosh Sorooshian,et al. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau , 2016 .
[4] Sean Wilkinson,et al. Influence of temporal data aggregation on trend estimation for intense rainfall , 2018, Advances in Water Resources.
[5] Gholam Reza Rakhshandehroo,et al. Evaluation of satellite rainfall climatology using CMORPH, PERSIANN‐CDR, PERSIANN, TRMM, MSWEP over Iran , 2017 .
[6] D. Moorhead,et al. Increasing risk of great floods in a changing climate , 2002, Nature.
[7] Yanyan Gao,et al. Evaluation of precipitation trends from high-resolution satellite precipitation products over Mainland China , 2018, Climate Dynamics.
[8] Larry C. Brown,et al. Assessment of measurement errors and dynamic calibration methods for three different tipping bucket rain gauges , 2016 .
[9] A. Witze. Why extreme rains are gaining strength as the climate warms , 2018, Nature.
[10] D. Yan,et al. Projection of extreme precipitation in the context of climate change in Huang-Huai-Hai region, China , 2016, Journal of Earth System Science.
[11] Hoshin Vijai Gupta,et al. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling , 2009 .
[12] J. Michaelsen,et al. The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes , 2015, Scientific Data.
[13] Feng Gao,et al. Comparison of two long-term and high-resolution satellite precipitation datasets in Xinjiang, China , 2018, Atmospheric Research.
[14] P. Gavilán,et al. Guidelines on validation procedures for meteorological data from automatic weather stations , 2011 .
[15] Shujia Zhou,et al. Capacity of Satellite-Based and Reanalysis Precipitation Products in Detecting Long-Term Trends across Mainland China , 2020, Remote. Sens..
[16] J. Martins,et al. Recent intensification of extreme precipitation events in the La Plata Basin in Southern South America (1981–2018) , 2021 .
[17] Jie Liu,et al. Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China , 2019, Remote. Sens..
[18] Zongxue Xu,et al. Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China , 2018, Remote. Sens..
[19] Kuolin Hsu,et al. Evaluation of satellite-based precipitation estimation over Iran , 2013 .
[20] Arthur P. Cracknell,et al. Evaluation of Six High-Resolution Satellite and Ground-Based Precipitation Products over Malaysia , 2015, Remote. Sens..
[21] G. Können,et al. Homogeneity of 20th century European daily temperature and precipitation series , 2003 .
[22] F. Zwiers,et al. Attribution of extreme temperature changes during 1951–2010 , 2016, Climate Dynamics.
[23] Michael Sprenger,et al. The role of upper‐level dynamics and surface processes for the Pakistan flood of July 2010 , 2013 .
[24] F. Wei,et al. Oscillation characteristics of summer precipitation in the Huaihe River valley and relevant climate background , 2010 .
[25] F. Justino,et al. Recent Precipitation Trends and Floods in the Colombian Andes , 2019, Water.
[26] G. L. Wang. Lessons learned from protective measures associated with the 2010 Zhouqu debris flow disaster in China , 2013, Natural Hazards.