High-Resolution Drought Data for India - Villages with no Irrigation

This geo-database consists of a 0.05 degree (5 x 5 km) SPEI (Standardised Precipitation-Evapotranspiration Index) that was calculated using CHIRPS precipitation data and resampled GLEAM data. We use the Priestley-Taylor equation to estimate potential evapotranspiration (PET), taking additional variables into account relevant for the Indian context.

We merge the SPEI database with all Indian villages that show very little irrigation coverage over agricultural lands, and villages where we see a strong outflow out of agrarian work among males. The Indian censuses of 2001 and 2011 are used to include this information.

The data is provided as a Shapefile, and can be opened with open-source geospatial software such as QGIS.

The dataset also includes the original tabular data in Comma Separated Values (.csv) format.

Identifier
DOI https://doi.org/10.17026/dans-zwz-mb93
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-75-a3oi
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:308706
Provenance
Creator Duijne, R.J. van ORCID logo
Publisher Data Archiving and Networked Services (DANS)
Contributor Columbia Univerisity, Climate School
Publication Year 2023
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format mid/mif; .csv
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage India