| Title |
Effect of rain gauge density over the accuracy of rainfall: a case study over Bangalore, India
|
|---|---|
| Published in |
SpringerPlus, July 2013
|
| DOI | 10.1186/2193-1801-2-311 |
| Pubmed ID | |
| Authors |
Anoop Kumar Mishra |
| Abstract |
Rainfall is an extremely variable parameter in both space and time. Rain gauge density is very crucial in order to quantify the rainfall amount over a region. The level of rainfall accuracy is highly dependent on density and distribution of rain gauge stations over a region. Indian Space Research Organisation (ISRO) have installed a number of Automatic Weather Station (AWS) rain gauges over Indian region to study rainfall. In this paper, the effect of rain gauge density over daily accumulated rainfall is analyzed using ISRO AWS gauge observations. A region of 50 km × 50 km box over southern part of Indian region (Bangalore) with good density of rain gauges is identified for this purpose. Rain gauge numbers are varied from 1-8 in 50 km box to study the variation in the daily accumulated rainfall. Rainfall rates from the neighbouring stations are also compared in this study. Change in the rainfall as a function of gauge spacing is studied. Use of gauge calibrated satellite observations to fill the gauge station value is also studied. It is found that correlation coefficients (CC) decrease from 82% to 21% as gauge spacing increases from 5 km to 40 km while root mean square error (RMSE) increases from 8.29 mm to 51.27 mm with increase in gauge spacing from 5 km to 40 km. Considering 8 rain gauges as a standard representative of rainfall over the region, absolute error increases from 15% to 64% as gauge numbers are decreased from 7 to 1. Small errors are reported while considering 4 to 7 rain gauges to represent 50 km area. However, reduction to 3 or less rain gauges resulted in significant error. It is also observed that use of gauge calibrated satellite observations significantly improved the rainfall estimation over the region with very few rain gauge observations. |
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 % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| Vietnam | 1 | <1% |
| Unknown | 99 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 22% |
| Researcher | 13 | 13% |
| Student > Master | 13 | 13% |
| Student > Bachelor | 9 | 9% |
| Student > Postgraduate | 8 | 8% |
| Other | 14 | 14% |
| Unknown | 23 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 27% |
| Earth and Planetary Sciences | 21 | 21% |
| Environmental Science | 18 | 18% |
| Physics and Astronomy | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 27 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 July 2013.
All research outputs
#14,755,656
of 22,714,025 outputs
Outputs from SpringerPlus
#835
of 1,852 outputs
Outputs of similar age
#115,623
of 194,295 outputs
Outputs of similar age from SpringerPlus
#31
of 70 outputs
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