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Messages - Alok Pandey

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The opportunity to Indian students and scientists to gain exposure at the world-class research facilities at the University of Nebraska-Lincoln and Daugherty Water for Food Global Institute but also to three additional universities; Purdue University, Texas Tech University and the University of Idaho.
For more information visit

Revival of the Kshipra river in Ujjain under river linking project (Initial cost INR 432 crore)
According to Executive Engineer Sanjay Joshi of Narmada Valley Development Authority, Narmada river water has been lifted to a height of 350 metres using electricity driven pumps, after which it has been diverted to the origin of the Kshipra river which is around 50 kilometres away.
3000 village and 70 towns of malwa region will benefit and 16 lakh hectares of land can be irrigated in Malwa region.

Source : (year 2015)

P.S. the whole idea of this post is to have repository of information regarding river linking project.

Announcements / An advertisement for PhD Research Scholars
« on: June 15, 2019, 06:16:26 PM »
An advertisement for PhD research scholars of WSU, Australia to work on Sustainable Management of Ground Water /Springs in Uttarakhand is attached for the interested.

Application close on 31st July 2019.

Thank you Dr. H J Shiva PRASAD (Professor of Civil Engineering, College of Technology, G B Pant University of Agriculture & Technology) for the information.


It will be inappropriate to tell which package is best without any work done on the same. One way to come up with which package to use is to see which articles have used them (or based on which published article it has been developed) and how relevant those articles are for your research work. Consider it only as a suggestion. All the best.

River Linking may have the potential to accelerate global warming on a short term in addition to its possible adverse effect  on monsoon rain-fall in India on a long term.

Article :
Rajamani, V., Mohanty, U.C., Ramesh, R., Bhat, G.S., Vinayachandran, P.N., Sengupta, D., PrasannaKumar, S. and Kolli, R.K., 2006. Linking Indian rivers vs Bay of Bengal monsoon activity. Indian Academy of Sciences.

Programming / List of R Packages for Hydro Research by Sam Zipper
« on: July 20, 2018, 03:42:50 PM »
Sam Zipper( @ZipperSam ) has compiled a list of packages which can be useful in water resources engineering and research.

Twitter Thread :
Link to Doc :

Models / Re: Statistical downscaling of GCMs
« on: October 18, 2017, 05:08:49 PM »

The problem you are facing needs thorough look into data used, model created and the results obtained. It will be very difficult for anyone to give satisfactory answer to this problem without checking all the steps followed. I would suggest plotting the raw data of variables of all grid points, bias corrected data, and the downscaled data and then comparing the all the plots for better understanding.

Programming / Re: Downscaling
« on: October 18, 2017, 05:01:31 PM »

We have discussed a lot about downscaling climate variables in our forum. A simple search would have yielded desired results on the same.

For e.g.
An R package for assessment of statistical downscaling methods for hydrological climate change impact,1307.msg3022.html#msg3022
Documentation of Musica R package:

Discussion on Statistical Downscaling,1216.msg3050.html#msg3050,1239.msg2919.html#msg2919 (Article reference is also given, do read it for better understanding)

Also, It would be well appreciated if the question asked precisely mentions the problem faced in the research activity.

Models / Re: Statistical downscaling of GCMs
« on: October 05, 2017, 05:38:50 PM »
But in the result it was found that  50% of downscaled temperature data has lesser value for higher RCP. i.e, temperature of RCP 8.5 is lower than that of RCP2.6 for certain days in the period between 2020-2100. I have checked the procedure that i have done. I am not able solve the above mentioned problem.

Can you please suggest any solution for the above mention problem?

My view :
50% of downscaled temperature data has lesser value for higher RCP is "an observation based on analysis performed and not a problem" . Also it doesn't say anything about trends (which may be present and should be look into) in the results obtained. Check for the frequency of events (above certain threshold) obtained in results.

Models / Re: Statistical downscaling of GCMs
« on: August 31, 2017, 04:17:57 PM »
You can use Grads to regrid and automate regriding for many variables/files.

Models / Re: Statistical downscaling of GCMs
« on: August 11, 2017, 10:00:29 AM »
Not needed. After standardization, you can perform PCA.

Post your question/information / River Geomorphology Videos
« on: August 07, 2017, 07:55:04 AM »
Little River Research and Design (LRRD) under contract with the Missouri Department of Conservation have produced these videos for educational purpose. Many videos were made using the Emriver movable bed model.

Link :

Models / Re: Statistical downscaling of GCMs
« on: May 09, 2017, 07:54:09 PM »

Eigenvalues of the covariance matrix of data matrix is used to select the number of newly formed variable (without any physical significance).
To learn more about PCA, go through this educational video :
Lecture series on Stochastic Hydrology by Prof. P. P. Mujumdar, Department of Civil Engineering, IISc Bangalore

Models / Re: Statistical downscaling of GCMs
« on: April 27, 2017, 03:34:25 PM »

In downscaling, we usually take grids which encompass the whole study area and not just the grid which falls into it. This way the minimum number of grids for the study comes out to be 4 (for one climate variable). Thus more number of variables necessitates use of PCA.

Abstract :
River piracy—the diversion of the headwaters of one stream into another one—can dramatically change the routing of water and sediment, with a profound effect on landscape evolution. Stream piracy has been investigated in glacial environments, but so far it has mainly been studied over Quaternary or longer timescales. Here we document how retreat of Kaskawulsh Glacier—one of Canada’s largest glaciers—abruptly and radically altered the regional drainage pattern in spring 2016. We use a combination of hydrological measurements and drone-generated digital elevation models to show that in late May 2016, meltwater from the glacier was re-routed from discharge in a northward direction into the Bering Sea, to southward into the Pacific Ocean. Based on satellite image analysis and a signal-to-noise ratio as a metric of glacier retreat, we conclude that this instance of river piracy was due to post-industrial climate change. Rapid regional drainage reorganizations of this type can have profound downstream impacts on ecosystems, sediment and carbon budgets, and downstream communities that rely on a stable and sustained discharge. We suggest that the planforms of Slims and Kaskawulsh rivers will adjust in response to altered flows, and the future Kaskawulsh watershed will extend into the now-abandoned headwaters of Slims River and eventually capture the Kluane Lake drainage.


Daniel H. Shugar, John J. Clague,   James L. Best, Christian Schoof, Michael J. Willis, Luke Copland & Gerard H. Roe

Article Link :

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