Hydrology, Hydromteorology, Hydroclimatology and Remote Sensing Laboratory (H3RS)
Publications

Publications

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2024

Evaluation of IMERG climate trends over land in the TRMM and GPM eras

Zhu, Siyu; Li, Zhi; Chen, Mengye; Wen, Yixin; Liu, Zhong; Huffman, George; Tsoodle, Theresa; Ferraro, Sebastian; Wang, Yuzhou; Hong, Yang

Evaluation of IMERG climate trends over land in the TRMM and GPM eras Journal Article

In: Environmental Research Letters, 2024.

Links | BibTeX | Tags: Climate change, Precipitation, Remote Sensing

How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06?

Zhu, Siyu; Li, Zhi; Chen, Mengye; Wen, Yixin; Gao, Shang; Zhang, Jiaqi; Wang, Jiao; Nan, Yi; Ferraro, Sebastian; Tsoodle, Theresa; Hong, Yang

How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06? Journal Article

In: Journal of Hydrology, vol. 645, 2024.

Links | BibTeX | Tags: Flood modeling, Precipitation, Remote Sensing

2023

Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements

Wang, Yaji; Li, Zhi; Gao, Lei; Zhong, Yong; Peng, Xinhua

Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements Journal Article

In: Remote Sensing, vol. 15, iss. 23, pp. 5622, 2023.

Links | BibTeX | Tags: Precipitation, Remote Sensing

Studying Brown Ocean Re-Intensification of Hurricane Florence Using CYGNSS and SMAP Soil Moisture Data and a Numerical Weather Model

Li, Zhi; Tiwari, Alka; Sui, Xinxin; Garrison, James; Marks, Frank; Niyogi, Dev

Studying Brown Ocean Re-Intensification of Hurricane Florence Using CYGNSS and SMAP Soil Moisture Data and a Numerical Weather Model Journal Article

In: Geophysical Research Letters, vol. 50, iss. 19, pp. e2023GL105102, 2023.

Links | BibTeX | Tags: Land-atmosphere interaction, Remote Sensing

Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product

Hong, Zhen; Moreno, Hernan; Alvarez, Laura; Li, Zhi; Hong, Yang

Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product Journal Article

In: Remote Sensing, vol. 15, iss. 13, 2023.

Links | BibTeX | Tags: Remote Sensing

2022

Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes

Chen, Mengye; Huang, Yongjie; Li, Zhi; Larico, Albert Johan Mamani; Xue, Ming; Hong, Yang; Hu, Xiao-Ming; Novoa, Hector Mayol; Martin, Elinor; McPherson, Renee; Zhang, Jiaqi; Gao, Shang; Wen, Yixin; Perez, Andres Vitaliano; Morales, Isaac Yanqui

Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes Journal Article

In: Atmosphere, vol. 13, iss. 10, pp. 1666, 2022, (A comparison of precipitation products from satellite observation, WRF simulation, and insitu gauges over Andes ).

Links | BibTeX | Tags: Precipitation, Remote Sensing

Disentangling error structures of precipitation datasets using decision trees

Sui, Xinxin; Li, Zhi; Tang, Guoqiang; Yang, Zong-Liang; Niyogi, Dev

Disentangling error structures of precipitation datasets using decision trees Journal Article

In: Remote Sensing of Environment, vol. 280, pp. 113185, 2022, (Interpret decision tree structures to infer spatiotemporal errors on satellite precipitation products.).

Links | BibTeX | Tags: Precipitation, Remote Sensing

Decadal development of CREST hydrological model family: review, improvements, applications, and outlook

Li, Zhi

Decadal development of CREST hydrological model family: review, improvements, applications, and outlook PhD Thesis

2022.

Links | BibTeX | Tags: Climate change, Flash floods, Flood modeling, Floods, Precipitation, Remote Sensing

Multisensor Remote Sensing and the Multidimensional Modeling of Extreme Flood Events: A Case Study of Hurricane Harvey–Triggered Floods in Houston, Texas, USA

Chen, Mengye; Li, Zhi; Gao, Shang

Multisensor Remote Sensing and the Multidimensional Modeling of Extreme Flood Events: A Case Study of Hurricane Harvey–Triggered Floods in Houston, Texas, USA Book Chapter

In: Zhang, Ke; Hong, Yang; AghaKouchak, Amir (Ed.): Remote Sensing of Water-related Hazards, Chapter 5, pp. 87-104, American Geophysical Union, 2022.

Links | BibTeX | Tags: Flood modeling, Floods, Precipitation, Remote Sensing

Evaluation of GPM IMERG and its constellations in extreme events over the conterminous United States

Li, Zhi; Tang, Guoqiang; Kirstetter, Pierre; Gao, Shang; Li, J-F; Wen, Yixin; Hong, Yang

Evaluation of GPM IMERG and its constellations in extreme events over the conterminous United States Journal Article

In: Journal of Hydrology, vol. 606, pp. 127357, 2022, (Continental-scale evaluation of satellite precipitation utilities during extreme rainfall events).

Links | BibTeX | Tags: Precipitation, Remote Sensing

2021

Spatiotemporal variability of global river extent and the natural driving factors revealed by decades of Landsat observations, GRACE gravimetry observations, and land surface model simulations

Gao, Shang; Li, Zhi; Chen, Mengye; Lin, Peirong; Hong, Zhen; Allen, Daniel; Neeson, Thomas; Hong, Yang

Spatiotemporal variability of global river extent and the natural driving factors revealed by decades of Landsat observations, GRACE gravimetry observations, and land surface model simulations Journal Article

In: Remote Sensing of Environment, vol. 267, pp. 112725, 2021, (A Global study of investigating spatiotemporal hydrologic processes using modern satellite products).

Links | BibTeX | Tags: Climate change, Remote Sensing, water resources

Mapping dynamic non-perennial stream networks using high-resolution distributed hydrologic simulation: A case study in the upper blue river basin

Gao, Shang; Chen, Mengye; Li, Zhi; Cook, Stephen; Allen, Daniel; Neeson, Thomas; Yang, Titantian; Yami, Teshome; Hong, Yang

Mapping dynamic non-perennial stream networks using high-resolution distributed hydrologic simulation: A case study in the upper blue river basin Journal Article

In: Journal of Hydrology, vol. 600, pp. 126522, 2021, (One of the first use of hydrological models to interpret stream intermittency).

Links | BibTeX | Tags: Remote Sensing, River intermittency

Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts

Gao, Shang; Li, Zhi; Chen, Mengye; Allen, Daniel; Neeson, Thomas; Hong, Yang

Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts Journal Article

In: vol. 13, iss. 17, pp. 3423, 2021, (The use of remote sensing optical sensors to detect river intermittency).

Links | BibTeX | Tags: Remote Sensing, River intermittency, water resources

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

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

CREST-iMAP v1. 0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction Journal Article

In: Environmental Modelling and Software, vol. 141, pp. 105051, 2021, (Developed a coupled system that integrates hydrologic process and hydraulic routing for flood prediction).

Links | BibTeX | Tags: Flood modeling, Floods, Remote Sensing

Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes.

Li, Zhi; Tang, Guoqiang; Hong, Zhen; Chen, Mengye; Gao, Shang; Kirstetter, Pierre; Gourley, Jonathan; Wen, Yixin; andd Soumaya Nabih, Teshome Yami; YangHong,

Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes. Journal Article

In: Journal of Hydrology, vol. 594, pp. 125975, 2021, (Global evaluation of satellite precipitation product utilities and its applicability in real time weather forecast).

Links | BibTeX | Tags: Precipitation, Remote Sensing

2020

Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China

Sui, Xinxin; Li, Zhi; Ma, Ziqiang; Xu, Jintao; Zhu, Siyu; Liu, Hui

Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China Journal Article

In: Remote Sensing, vol. 12, iss. 24, pp. 4154, 2020, (Satellite precipitation products error identification in coastal regions).

Links | BibTeX | Tags: Precipitation, Remote Sensing

Advancing Satellite Precipitation Retrievals with Data Driven Approaches: Is black box model explainable?

Li, Zhi; Wen, Yixin; Schreier, Mathias; Behrangi, Ali; Hong, Yang; Lambrigtsen, Bjorn

Advancing Satellite Precipitation Retrievals with Data Driven Approaches: Is black box model explainable? Journal Article

In: Earth and Space Science, vol. 8, pp. e2020EA001423, 2020, (One of the first machine learning interpretation used in satellite precipitation retrievals).

Links | BibTeX | Tags: Deep Learning, Precipitation, Remote Sensing

Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation

Li, Zhi; Chen, Mengye; Gao, Shang; Hong, Zhen; Tang, Guoqiang; Wen, Yixin; Gourley, Jonathan; Hong, Yang

Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation Journal Article

In: Remote Sensing, vol. 12, iss. 8, pp. 1258, 2020, (Investigate the uncertainties of precipitation products derived from three sources: satellite, weather radar, and in-situ gauges).

Links | BibTeX | Tags: Precipitation, Remote Sensing