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Messages - Sat Kumar Tomer

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1
Hello,

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.
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2

In regression, we assume noise is independent of all measured predictors. What happens if it isn’t?

A number of key assumptions underlie the linear regression model – among them linearity and normally distributed noise (error) terms with constant variance In this post, I consider an additional assumption: the unobserved noise is uncorrelated with any covariates or predictors in the model.


Link: https://www.rdatagen.net/post/linear-regression-models-assume-noise-is-independent/
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4
Post your question/information / Re: Research topic suggestions
« on: September 27, 2018, 11:41:23 AM »
Hi

You may follow this post in this forum written by Dr. Arpita  http://wateradroit.com/forum/index.php/topic,368.msg1228.html#msg1228
She has given some good guidelines for initial stage research scholar. Hope this will help you.
Best wishes.
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5
Hi,
Recently, a comment was published in Hydrology and Earth System Science - Discussion (HESS-D) (https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-187/) on an article published in the same journal (HESS) in 2018 (https://www.hydrol-earth-syst-sci.net/22/595/2018/hess-22-595-2018.html). The nature of the comment does not contribute to constructive scientific debate. It is more like a rant, a vicious attack on the authors and their expertise, rather than on their work. This has evoked serious reactions from the hydrologic community (8 short comments in the last 3 days). I feel it is important for the Indian hydrologic community to be aware of such trolling and scientific harassments (thanks to Nandita Basu for pointing it out https://twitter.com/nanditabasu2/status/997325183844143104), and would request people to comment if they feel the need for it. Of course, all this is my personal opinion.
Link to original paper: https://www.hydrol-earth-syst-sci.net/22/595/2018/hess-22-595-2018.html
Link to commentary: https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-187

Cheers
Harsh
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6
Hydrological sciences / Using R in Hydrology - EGU2018 Short Course
« on: April 22, 2018, 02:37:21 PM »
This was a short course conducted during EGU this year. The course was divided into six workflows as follows:


Introduction to the short course - Louise Slater
  • Accessing hydrological data using web APIs (a demo of the rnrfa package) - Claudia Vitolo
  • Processing, modelling and visualising hydrological data in R (tidyverse; piping, mapping and nesting) - Alexander Hurley
  • Extracting netCDF climate data for hydrological analyses (reading and visualising gridded data) - Louise Slater
  • Hydrological modelling and teaching modelling (airGR and airGRteaching) - Guillaume Thirel
  • Typical hydrological tasks in R (List columns, Leaflet and coordinate transformation, Open Street Maps) - Tobias Gauster

Please follow the github link to access the necessary materials: https://github.com/hydrosoc/rhydro_EGU18/



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7
Interesting information / PICKING A COLOUR SCALE FOR SCIENTIFIC GRAPHICS
« on: January 10, 2018, 11:01:52 AM »
Here are some recommendations for making scientific graphics which help your audience understand your data as easily as possible. Your graphics should be striking, readily understandable, should avoid distorting the data (unless you really mean to), and be safe for those who are colourblind. Remember, there are no really “right” or “wrong” palettes (OK, maybe a few wrong ones), but studying a few simple rules and examples will help you communicate only what you intend.


Please find the link to the blog: https://betterfigures.org/2015/06/23/picking-a-colour-scale-for-scientific-graphics/
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8
Study material / Using tenses in scientific writing
« on: December 14, 2017, 11:07:53 AM »
Dear All

May be useful.. Pls find the attachment.
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9
Post your question/information / Re: Further Floods in Ladakh Imminent
« on: December 06, 2017, 03:36:29 PM »
Thanks Sat for the feedback. I shall include more info now onwards.
Hemant.
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10
Post your question/information / Further Floods in Ladakh Imminent
« on: November 30, 2017, 11:39:22 PM »
[The article focuses on policies to adopt to mitigate damages due to (potential) floods in Ladakh, and is not focused on research, but I felt that it should be shared. Please move it to the appropriate board.]
A workshop on Flood Disaster Risk Reduction has concluded that Ladakh will experience further floods (including mudflows) with the same or increasing frequency as in recent years. A report of the recommendations from the workshop.
https://pstobdan.wordpress.com/2017/11/30/further-floods-in-ladakh-imminent/
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11
Post your question/information / To the young students of hydrology
« on: October 25, 2017, 10:41:49 AM »
Dear All

Early career hydrologists can benefit from the advice of others who are more advanced in their careers. In the attached document, short answers from established hydrologists to (one or more of) the following questions:

Q1. What book or paper has been most influential to your career and why?
Q2. If I could only work on one problem in hydrology it would be […], because […]
Q3. What is your golden tip for current early career scientists?
Q4. What (avoidable) mistakes did you make early in your career?
Q5. How can young scientists improve their writing or presentations?

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12
The Variable Infiltration Capacity (VIC) hydrologic and river routing model simulates the water and energy fluxes that occur near the land surface and provides useful information regarding the quantity and timing of available water within a watershed system. However, despite its popularity, wider adoption is hampered by the considerable effort required to prepare model inputs and calibrate the model parameters. This study presents a user-friendly software package, named VIC-Automated Setup Toolkit (VIC-ASSIST), accessible through an intuitive MATLAB graphical user interface. VIC-ASSIST enables users to navigate the model building process through prompts and automation, with the intention to promote the use of the model for practical, educational, and research purposes. The automated processes include watershed delineation, climate and geographical input set-up, model parameter calibration, sensitivity analysis, and graphical output generation. We demonstrate the package's utilities in various case studies.


Link: http://www.sciencedirect.com/science/article/pii/S1364815216308131

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13
Models / Re: Statistical downscaling of GCMs
« on: October 04, 2017, 10:09:24 AM »
hi

I think it can be possible in the near future (maybe till 2050s), because rcp2.6 is a "peak and decline" scenario, which reaches the peak around 2050 and declines towards the end of century. While rcp8.5 is raising scenario towards end of the century.

You can refer this
Quote
DOI 10.1007/s10584-011-0148-z

I have not worked much with temperature data, but this is what i feel.

Rohith A N
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14
Announcements / 1-2 PhD positions and 1 Post-Doc position
« on: September 13, 2017, 06:56:57 AM »
FYI

I am looking for highly motivated students/scholars with good research aptitude, to work in the field of hydrological modeling focussing extremes. 1-2 PhD positions and 1 Post-Doc position are available.

Kindly circulate this among interested candidates. Those interested may write to dhanya@civil.iitd.ac.in; dhanyact@gmail.com, along with their CV. Thanks.

http://web.iitd.ac.in/~dhanya/

Contact
Dr Dhanya C.T.

Office: Block V, Room No.: 304
Department of Civil Engineering
Indian Institute of Technology (IIT) Delhi
Hauz Khas, New Delhi - 110016
Email: dhanya@civil.iitd.ac.in
Office Tel.: +91 11 2659 7328
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15
Daily temperature values are generally computed as the average of the daily minimum and maximum observations, which can lead to biases in the estimation of daily averaged values. This study examines the impacts of these biases on the calculation of climatology and trends in temperature extremes at 409 sites in North America with at least 25 years of complete hourly records. Our results show that the calculation of daily temperature based on the average of minimum and maximum daily readings leads to an overestimation of the daily values of ~10+% when focusing on extremes and values above (below) high (low) thresholds. Moreover, the effects of the data processing method on trend estimation are generally small, even though the use of the daily minimum and maximum readings reduces the power of trend detection (~5-10% fewer trends detected in comparison with the reference data).


Reference: http://www.sciencedirect.com/science/article/pii/S0169809517300765
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