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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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CONUS NG-IDF 2.0: Crop

Authors: Hongxiang Yan; Mark S. Wigmosta; Zhuoran Duan; Ning Sun;

CONUS NG-IDF 2.0: Crop

Abstract

The NG-IDF: Crop datasets cover more than 200,000 sites at approximately 6 km resolution in the years 1951–2013 across the CONUS for the Crop land use land cover (LULC). These [daily time series + annual maximum] datasets provide information on extreme hydrological events and their associated hydrometeorological drivers at a continental scale. They include 1) daily time series of precipitation (P), throughfall (TF), water available for runoff (W), and snow water equivalent (SWE); 2) annual maximum time series of P, W, TF, snowmelt, rain-on-snow (ROS); and 3) NG-IDF curves and their uncertainties. See the "Crop_readmefirst.txt" file for details.

Related Organizations
Keywords

Hydrologic Extremes, CONUS, Snowmelt, ROS, Crop, SWE

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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