Peirong Lin
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View article: Flood regulation as a multivariate challenge in the Anthropocene: a systematic modeling approach
Flood regulation as a multivariate challenge in the Anthropocene: a systematic modeling approach Open
Flood regulation is increasingly recognized as a complex, multivariate challenge in the Anthropocene due to accelerated floodplain urban sprawl and changing hydroclimatic conditions. However, existing research lacks a unified quantitative …
View article: Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing
Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing Open
To expand the spatial coverage of the conventional Basin Long Short‐Term Memory (LSTM) model for river discharge estimation beyond pre‐selected individual locations, we developed a discharge modeling scheme, Grid LSTM‐RAPID, to estimate di…
View article: Global patterns in river water storage dependent on residence time
Global patterns in river water storage dependent on residence time Open
View article: SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains
SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains Open
Floodplains are a vital part of the global riverine system. Among all the global floodplain delineation strategies empowered by remote sensing, digital elevation model (DEM)-based delineation is considered to be computationally efficient w…
View article: SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains
SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains Open
Description SHIFT (Spatial Heterogeneity Improved Floodplain by Terrain analysis) is a 90-m resolution global geomorphic floodplain map based on terrain analysis. It takes MERIT-Hydro as the terrain input and Floodplain Hydraulic Geometry …
View article: Global patterns in river water storage dependent on residence time
Global patterns in river water storage dependent on residence time Open
View article: A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies
A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Open
Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river's upstream basin characteristics. Recent proliferation of large sample hydrology (LSH) datasets has promoted mode…
View article: SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains
SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains Open
Floodplain is a vital part of the global riverine system. Among all the global floodplain delineation strategies empowered by remote sensing, DEM-based delineation is considered computationally efficient with relatively low uncertainties, …
View article: Revisiting At-a-Station Hydraulic Geometry Using Discharge Observations and Satellite-Derived River Widths
Revisiting At-a-Station Hydraulic Geometry Using Discharge Observations and Satellite-Derived River Widths Open
The power-function exponent b of at-a-station hydraulic geometry (AHG) depicts the temporal response of river hydraulic parameters to changing discharge and is crucial for hydraulic modeling, habitat assessment, and river management. Howev…
View article: Tracking global floodplain urban growth
Tracking global floodplain urban growth Open
View article: SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains
SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains Open
Description SHIFT (Spatial Heterogeneity Improved Floodplain by Terrain analysis) is a 90-m resolution global geomorphic floodplain map based on terrain analysis. It takes MERIT-Hydro as the terrain input and Floodplain Hydraulic Geometry …
View article: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1 Open
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies. GSHA covers 21,568 watersheds from 13 agencies for as long as 43 years based on the discharge obser…
View article: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1 Open
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies. GSHA covers 21,568 watersheds from 13 agencies for as long as 43 years based on the discharge obser…
View article: RRR input and output files corresponding to "Global patterns in river water storage dependent on residence time"
RRR input and output files corresponding to "Global patterns in river water storage dependent on residence time" Open
Corresponding peer-reviewed publication This dataset corresponds to all the RRR input and output files that were used in the study reported in: Collins, E. L., C. H. David, R. Riggs, G. H. Allen, T. M. Pavelsky, P. Lin, M. Pan, D. Yamazaki…
View article: RRR input and output files corresponding to "Global patterns in river water storage dependent on residence time"
RRR input and output files corresponding to "Global patterns in river water storage dependent on residence time" Open
Corresponding peer-reviewed publication This dataset corresponds to all the RRR input and output files that were used in the study reported in: Collins, E. L., C. H. David, R. Riggs, G. H. Allen, T. M. Pavelsky, P. Lin, M. Pan, D. Yamazaki…
View article: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1 Open
<p>A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies. GSHA covers 21,568 watersheds from 13 agencies for as long as 43 years based on the discha…
View article: Reply on RC2
Reply on RC2 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies V1.1 Open
<p>A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies. GSHA covers 21,568 watersheds from 13 agencies for as long as 43 years based on the discha…
View article: Reply on RC1
Reply on RC1 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: Comment on essd-2023-256
Comment on essd-2023-256 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: Global Daily Discharge Estimation Based on Grid-Scale Long Short-Term Memory (LSTM) Model and River Routing
Global Daily Discharge Estimation Based on Grid-Scale Long Short-Term Memory (LSTM) Model and River Routing Open
Accurate global river discharge estimation is crucial for advancing our scientific understanding of the global water cycle and supporting various downstream applications. In recent years, data-driven machine learning models, particularly t…
View article: Reply on CC3
Reply on CC3 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: Reply on CC4
Reply on CC4 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: Comment on essd-2023-256
Comment on essd-2023-256 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: Analysis of the Scale Effect and Temporal Stability of Groundwater in a Large Irrigation District in Northwest China
Analysis of the Scale Effect and Temporal Stability of Groundwater in a Large Irrigation District in Northwest China Open
The depth to groundwater table (DGT) and the stability sites of groundwater were closely related parameters in groundwater research. Controlling the DGT and identifying stability sites of DGT were of great significance to prevent soil sali…
View article: A reference dataset of global gridded average-state specific yield
A reference dataset of global gridded average-state specific yield Open
The uploaded data is related with our manuscript "A reference dataset of global gridded average-state specific yield".
View article: A reference dataset of global gridded average-state specific yield
A reference dataset of global gridded average-state specific yield Open
The uploaded data is related with our manuscript "A reference dataset of global gridded average-state specific yield".
View article: Comment on essd-2023-256
Comment on essd-2023-256 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: Reply on CC1
Reply on CC1 Open
Abstract. Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH)…
View article: A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies
A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies Open
Our understanding and predictive capability of streamflow processes largely rely on high-quality datasets that depict a river’s upstream basin characteristics. Recent proliferation of large sample hydrology (LSH) datasets has promoted mode…