Publications

@article{nokey,

title = {How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06?},

author = {Siyu Zhu and Zhi Li and Mengye Chen and Yixin Wen and Shang Gao and Jiaqi Zhang and Jiao Wang and Yi Nan and Sebastian Ferraro and Theresa Tsoodle and Yang Hong



},

doi = {10.1016/j.jhydrol.2024.132257},

year  = {2024},

date = {2024-12-01},

urldate = {2024-12-01},

journal = {Journal of Hydrology},

volume = {645},

keywords = {Flood modeling, Precipitation, Remote Sensing},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Introducing Flashiness-Intensity-Duration-Frequency (F-IDF): A New Metric to Quantify Flash Flood Intensity},

author = {Zhi Li and Shang Gao and Mengye Chen and Jiaqi Zhang and Jonathan Gourley and Yixin Wen and Tiantian Yang and Yang Hong},

doi = {10.1029/2023GL104992},

year  = {2023},

date = {2023-12-07},

urldate = {2023-12-07},

journal = {Geophysical Research Letters},

volume = {50},

issue = {23},

pages = {e2023GL104992},

keywords = {Flash floods, Flood modeling, Floods},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CONUS-wide model calibration and validation for CRESTv3.0 - an improved Coupled Routing and Excess STorage distributed hydrological model},

author = {Mengye Chen and Zhi Li and Humberto Vergara and Jonathan Gourley and Ming Xue and Yang Hong and Xiao-Ming Hu and Hector Mayol Novoa and Elinor Martin and Renee McPherson and Shang Gao and Andres Vitaliano Perez and Isaac Yanqui Morales},

doi = {10.1016/j.jhydrol.2023.130333},

year  = {2023},

date = {2023-10-17},

journal = {Journal of Hydrology},

abstract = {The Coupled Routing and Excess Storage (CREST) is a flood-centric distributed hydrological model that has been widely used by researchers, educators, and decision-makers around the world since 2011. With growing public concern about the impact of climate change on water security, hydrological models such as CREST need to continue improving to provide more accurate simulations, more output products, and reduced application difficulties for users. In this study, an improved version of the CREST model (version 3.0) was proposed to consider the groundwater component of the hydrological cycle. A CONUS-wide CREST model calibration was conducted to provide usable model parameters for CREST users worldwide. The calibration improved the overall NSCE score from -0.97 to 0.11 over 3,206 gauge points in CONUS. The validation results indicated that the CREST model performed well in the eastern CONUS but not in the Rocky Mountains and the Mountain West. The newly added groundwater module reduced the overestimation and the steepness of the falling limb during flood events in the eastern CONUS but drastically reduced the simulated water quantities in the mountainous regions.},

keywords = {Flood modeling},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region},

author = {Zhi Li and Mengye Chen and Shang Gao and Yixin Wen and Jonathan Gourley and Tiantian Yang and Randall Kolar and Yang Hong},

url = {https://doi.org/10.1016/j.envsoft.2022.105450},

doi = {10.1016/j.envsoft.2022.105450},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

journal = {Environmental Modelling and Software},

volume = {155},

pages = {105450},

note = {Answered the scientific question of whether re-infiltration process in Hydrology is important and can be ignored in flood inundation mapping during extreme events},

keywords = {Flood modeling, Floods},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts},

author = {Mengye Chen and Zhi Li and Shang Gao and Ming Xue and Jonathan Gourley and Randall Kolar and Yang Hong},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

journal = {Journal of Hydrology},

volume = {612},

pages = {128168},

note = {Comparing different QPFs and their impact on flood inundation},

keywords = {Flood modeling, Floods, Precipitation},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CREST-VEC: A framework towards more accurate and realistic flood simulation across scales},

author = {Zhi Li and Shang Gao and Mengye Chen and Jonathan Gourley and Naoki Mizukami and Yang Hong},

url = {https://doi.org/10.5194/gmd-15-6181-2022},

doi = {10.5194/gmd-15-6181-2022},

year  = {2022},

date = {2022-08-08},

urldate = {2022-08-08},

journal = {Geoscientific Model Development},

volume = {15},

pages = {6181-6196},

note = {Developed an efficient and accurate flood forecast framework that can operate globally in real time},

keywords = {Flood modeling},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CREST-iMAP v1. 0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction},

author = {Zhi Li and Mengye Chen and Shang Gao and Xiangyu Luo and Jonathan Gourley and Pierre Kirstetter and Tiantian Yang and Randall Kolar and Amy McGovern and Yixin Wen and Bo Rao and Teshome Yami and Yang Hong},

url = {https://doi.org/10.1016/j.envsoft.2021.105051},

doi = {10.1016/j.envsoft.2021.105051},

year  = {2021},

date = {2021-07-01},

journal = {Environmental Modelling and Software},

volume = {141},

pages = {105051},

note = {Developed a coupled system that integrates hydrologic process and hydraulic routing for flood prediction},

keywords = {Flood modeling, Floods, Remote Sensing},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CREST/EF5 capacity building to enhance resilience to hydrodynamic disasters in emerging regions},

author = {Yami Teshome and Gao Shang and Chen Mengye and Li Zhi and Labriola Laura and Wara Calvince and Beshah Feleke and Hong Yang},

url = {https://academicjournals.org/journal/AJEST/article-full-text-pdf/2DF9A4F67018},

doi = {10.5897/AJEST2021.2989},

year  = {2021},

date = {2021-06-30},

urldate = {2021-06-30},

journal = {African Journal of Environmental Science and Technology},

volume = {15},

issue = {6},

pages = {230-242},

note = {Capacity building project to use hydrologic models/tools to protect African local residents},

keywords = {Capacity building, Flood modeling},

pubstate = {published},

tppubtype = {article}

}