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High-resolution near real-time drought monitoring in South Asia

Overview of attention for article published in Scientific Data, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
13 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
102 Mendeley
Title
High-resolution near real-time drought monitoring in South Asia
Published in
Scientific Data, October 2017
DOI 10.1038/sdata.2017.145
Pubmed ID
Authors

Saran Aadhar, Vimal Mishra

Abstract

Drought in South Asia affect food and water security and pose challenges for millions of people. For policy-making, planning, and management of water resources at sub-basin or administrative levels, high-resolution datasets of precipitation and air temperature are required in near-real time. We develop a high-resolution (0.05°) bias-corrected precipitation and temperature data that can be used to monitor near real-time drought conditions over South Asia. Moreover, the dataset can be used to monitor climatic extremes (heat and cold waves, dry and wet anomalies) in South Asia. A distribution mapping method was applied to correct bias in precipitation and air temperature, which performed well compared to the other bias correction method based on linear scaling. Bias-corrected precipitation and temperature data were used to estimate Standardized precipitation index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) to assess the historical and current drought conditions in South Asia. We evaluated drought severity and extent against the satellite-based Normalized Difference Vegetation Index (NDVI) anomalies and satellite-driven Drought Severity Index (DSI) at 0.05°. The bias-corrected high-resolution data can effectively capture observed drought conditions as shown by the satellite-based drought estimates. High resolution near real-time dataset can provide valuable information for decision-making at district and sub-basin levels.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 33%
Student > Master 15 15%
Researcher 13 13%
Student > Doctoral Student 11 11%
Other 4 4%
Other 11 11%
Unknown 14 14%
Readers by discipline Count As %
Environmental Science 21 21%
Earth and Planetary Sciences 16 16%
Engineering 14 14%
Agricultural and Biological Sciences 7 7%
Social Sciences 5 5%
Other 14 14%
Unknown 25 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2019.
All research outputs
#769,835
of 14,110,335 outputs
Outputs from Scientific Data
#257
of 1,060 outputs
Outputs of similar age
#25,623
of 275,836 outputs
Outputs of similar age from Scientific Data
#1
of 1 outputs
Altmetric has tracked 14,110,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.0. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them