Evidence map›Paper›PMID 38168497›Full record

ArticleScientific data2024

Drought Atlas of India, 1901-2020.

Dipesh Singh Chuphal, Anuj Prakash Kushwaha, Saran Aadhar, Vimal Mishra

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Recent drying of the Ganga River is unprecedented in the last 1,300 years.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Drought Atlas of India, 1901-2020.Scientific data · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dipesh Singh Chuphal *Civil Engineering, Indian Institute of Technology (IIT) Gandhinagar, Gandhinagar, India.ORCID http://orcid.org/0000-0002-0662-2906
Anuj Prakash Kushwaha *Earth Sciences, Indian Institute of Technology (IIT) Gandhinagar, Gandhinagar, India.
Saran AadharCivil & Infrastructure Engineering, Indian Institute of Technology (IIT) Jodhpur, Jodhpur, India.
Vimal MishraCivil Engineering, Indian Institute of Technology (IIT) Gandhinagar, Gandhinagar, India. vmishra@iitgn.ac.in.ORCID http://orcid.org/0000-0002-3046-6296

Funding

Ministry of Earth Sciences (MoES) MoES32421
6 · The paper itself

Abstract

India has been considerably affected by droughts in the recent past. Despite the considerable impacts of droughts on agriculture and water resources, long-term datasets to examine droughts and their consequences at appropriate spatial and temporal scales have been lacking in India. Datasets that provide drought information are mostly available for a short period and at coarser resolutions, therefore, these do not comprehend the information regarding the major droughts that occurred in the distant past at administrative scales of decision-making. To fill this critical gap, we developed the high-resolution (0.05°) and long-term monthly precipitation and temperature datasets for the 1901-2021 period. We used long-term high-resolution precipitation and temperature to estimate droughts using standardized precipitation and evapotranspiration index (SPEI). As SPEI considers the role of air temperature in drought estimation, it can be used to examine meteorological, agricultural, and hydrological droughts. Using high-resolution SPEI, we developed drought atlas for India (1901-2020) that can provide comprehensive information on drought occurrence, impacts, and risks in India.

Identifiers

PMID38168497
PMCPMC10762040

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.