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Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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A Long-Term Land Surface Hydrologic Fluxes and States Dataset for China

Authors: Zhang, Xuejun; Tang, Qiuhong;

A Long-Term Land Surface Hydrologic Fluxes and States Dataset for China

Abstract

** VIC_forcings_4vars: 1/4 Degree Gridded Daily Meteorological VIC Forcing Data Set over China domain 1. Data sources This dataset is from 1/1/1952 to 12/31/2012, which were derived by interpolating gauged daily precipitation, maximum temperature, minimum temperature and wind speed of 756 ground mornitoring stations from Chinese Meteorological Administration (CMA). ** This section provides only a very brief description of the data source. For a full explanation, the user need refer to the published papers in the references ** 2. References to Cite We request that users of this data set cite Zhang et al.(2014) in any reports or publications using it. Zhang, X., Tang, Q., Pan, M., Tang, Y., 2014. A Long-Term Land Surface Hydrologic Fluxes and States Dataset for China. Journal of Hydrometeorology. (Accepted) 3. Dataset format This data set is available in netCDF (which cannot be read directly by VIC). Please click the year number in the table below to download the corresponding daily forcings (i.e., precipitation, maximum temperature, minimum temperature and wind speed). ** VICoutput_fluxes: VIC Retrospective Land Surface Dadaset over China: 1952-2012 1. Background The Variable Infiltration Capacity (VIC) model was driven using the gridded daily observed forcings (including precipitation, maximum temperature, minimum temperature, and wind speed; if necessary, please download the VIC forcings from http://hydro.igsnrr.ac.cn/public/vic_forcings_4vars.html) to simulate the land surface hydrological cycle from 1952-2012 over China. The modeling study was done at a 3-hourly time step and at a spatial resolution of 0.25 degree. Details can be found in the journal article: Zhang, X., Q. Tang, M. Pan, and Y. Tang, 2014: A Long-Term Land Surface Hydrologic Fluxes and States Dataset for China. Journal of Hydrometeorology. doi: 10.1175/JHM-D-13-0170.1 2. Archived data information and format This website provides access to parts of the model derived variables(including the water balance variables and states and energy balance varibales) at daily scale. This dataset is available in netCDF format. Please click the varible names below to download the corresponding variable. 3. Download the dataset Model Derived Variables, 1952-2012 (Water Balance Variables and States) Evaporation Runoff Baseflow Soil Moisture Layer 1 Soil Moisture Layer 2 Soil Moisture Layer 3 Snow Water Equivalent Contact: tangqh@igsnrr.ac.cn

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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
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