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ZENODO
Dataset . 2024
License: CC BY SA
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY SA
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY SA
Data sources: Datacite
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Water Cycle Atlas of India (WCAI) v1.0 [1980-2022, Daily, 0.1°]

Authors: Magotra, Bhanu; Saharia, Manabendra;

Water Cycle Atlas of India (WCAI) v1.0 [1980-2022, Daily, 0.1°]

Abstract

WCAI ( Water Cycle Atlas of India) is a long term land surface reanalysis of the Indian subcontinent from Jan 1980 to Dec 2022. It is produced using the Indian Land Data Assimillation System (ILDAS) at the Indian Institute of Technology Delhi, New Delhi India. It provides daily estimates of 16 variables at 0.1 degree resolution. The hydrologic and hydrodynamic model combination used is NoahMP3.6 and HYMAP2 forced with Indian Meteorological Department (IMD) gridded precipitation and MERRA2 reanalysis data. This dataset will be valuable for water balance assessments at continental scale for multiple applications such as water resources planning, soil conservation, urban planning, and natural disaster risk mitigation. Changelog ------------------------------------ v1.0 - Uncalibrated Model outputs

Keywords

reanalysis, hydrological model, water cycle

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average