Huilin Gao Dataverse

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 5 of 5 Results

CMIP6-CONUS Reservoir Evaporation Dataset (CMIP6-CRED) Mar 12, 2023 Gao, Huilin, 2023, "CMIP6-CONUS Reservoir Evaporation Dataset (CMIP6-CRED)", https://doi.org/10.18738/T8/HC9P1Y, Texas Data Repository, V1, UNF:6:gWShnDRIM1OnpcIBiSffXA== [fileUNF] This dataset contains evaporation rates and losses for 678 major reservoirs (representing nearly 90% of total storage capacity) in the Contiguous United States (CONUS) over historical baseline (1980–2019), near-term (2020–2039), and mid-term (2040–2059) future periods.
Global Reservoir Surface Area Dataset (GRSAD) May 15, 2020 Gao, Huilin; Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository, V3 This dataset contains the time series of area values for 6817 global reservoirs (with an integrated capacity of 6099 km3) generated from 1984 to 2015. It was based on the dataset by Pekel et al. (2016), with the contaminations from clouds, cloud shadows, and terrain shadows corre...
Hydropower reservoir data in the CONUS May 15, 2020 Gao, Huilin, 2020, "Hydropower reservoir data in the CONUS", https://doi.org/10.18738/T8/HZQQWH, Texas Data Repository, V1 This dataset contains reservoir elevation, area, storage, and evaporartion data
Global Reservoir Bathymetry Dataset May 13, 2020 Gao, Huilin, 2020, "Global Reservoir Bathymetry Dataset", https://doi.org/10.18738/T8/TO5HJG, Texas Data Repository, V1 This dataset contains the high resolution 3D bathymetry of 347 global reservoirs, which represents 50% of the overall global storage capacity. It also provides the Area-Elevation (A-E) and Elevation-Volume (E-V) relationships for these reservoirs.
Replication Data for: CONUS Reservoir Evaporation Dataset (CRED) Mar 20, 2019 Gao, Huilin, 2019, "Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)", https://doi.org/10.18738/T8/S8CJ7X, Texas Data Repository, V1 By fusing remote sensing and modeling approaches, this study developed a novel method to accurately estimate the evaporation losses from 721 reservoirs in the contiguous United States (CONUS). Reservoir surface areas were extracted and enhanced from the Landsat based Global Surfa...

CMIP6-CONUS Reservoir Evaporation Dataset (CMIP6-CRED)

Mar 12, 2023

Gao, Huilin, 2023, "CMIP6-CONUS Reservoir Evaporation Dataset (CMIP6-CRED)", https://doi.org/10.18738/T8/HC9P1Y, Texas Data Repository, V1, UNF:6:gWShnDRIM1OnpcIBiSffXA== [fileUNF]

This dataset contains evaporation rates and losses for 678 major reservoirs (representing nearly 90% of total storage capacity) in the Contiguous United States (CONUS) over historical baseline (1980–2019), near-term (2020–2039), and mid-term (2040–2059) future periods.

Global Reservoir Surface Area Dataset (GRSAD)

May 15, 2020

Gao, Huilin; Zhao, Gang, 2019, "Global Reservoir Surface Area Dataset (GRSAD)", https://doi.org/10.18738/T8/DF80WG, Texas Data Repository, V3

This dataset contains the time series of area values for 6817 global reservoirs (with an integrated capacity of 6099 km3) generated from 1984 to 2015. It was based on the dataset by Pekel et al. (2016), with the contaminations from clouds, cloud shadows, and terrain shadows corre...

Hydropower reservoir data in the CONUS

May 15, 2020

Gao, Huilin, 2020, "Hydropower reservoir data in the CONUS", https://doi.org/10.18738/T8/HZQQWH, Texas Data Repository, V1

This dataset contains reservoir elevation, area, storage, and evaporartion data

Global Reservoir Bathymetry Dataset

May 13, 2020

Gao, Huilin, 2020, "Global Reservoir Bathymetry Dataset", https://doi.org/10.18738/T8/TO5HJG, Texas Data Repository, V1

This dataset contains the high resolution 3D bathymetry of 347 global reservoirs, which represents 50% of the overall global storage capacity. It also provides the Area-Elevation (A-E) and Elevation-Volume (E-V) relationships for these reservoirs.

Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)

Mar 20, 2019

Gao, Huilin, 2019, "Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)", https://doi.org/10.18738/T8/S8CJ7X, Texas Data Repository, V1

By fusing remote sensing and modeling approaches, this study developed a novel method to accurately estimate the evaporation losses from 721 reservoirs in the contiguous United States (CONUS). Reservoir surface areas were extracted and enhanced from the Landsat based Global Surfa...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications