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Messages - Hemant Kumar

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Job Location: Noida
Modeler – Hydrology or Water Resources, RMS  - NOIDA


RMS is the world's leading provider of analytics and decision science solutions for the quantification and management of catastrophe risks.  The models and consulting services of RMS are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide-range of natural and man-made perils such as - earthquake, flood, windstorm, terrorism, and disease pandemic.  RMS continues to grow and diversify to service and meet the requirement of its clients through research and technology innovation and superior client service.  The company's strength lies in its ability to use and develop the skills of its people across a wide remit of business activities.


The Model Development Department at RMS is responsible for the development of models to assess the risk from natural and man-made catastrophes. A group in Noida works in close collaboration with colleagues in Europe and US, to help quantifying catastrophe risk across all of RMS's products and services.

Objective of the role

Looking for a skilled scientist/technical specialist as catastrophe risk modeler, or a similar role to be a part of model development team that develops probabilistic flood models. He/ she should have an in-depth understanding of hydrodynamics, hydrology, hydraulics, and a good understanding of the integration of data and models. He/ she should have good problem-solving and communication abilities and adapt to work in a quick-paced and project oriented environment.

Key Accountabilities

·         Responsible for understanding, analyzing & developing hydrological models for development of flood hazard model, loss model, calibration and validation
·         Communication and interaction with colleagues in global offices
·         Responsible for research driven process enhancement initiatives in flood modeling
Experience Required

·         Sound knowledge of hydrological and hydraulic processes and modelling
·         Command in one or more of the programming languages: Python, R, FORTRAN, MATLAB
·         Knowledge of C#, C++, JavaScript would be valued
·         Linux/Shell scripting for data management
·         Experience working with large datasets
·         Basic knowledge and interest in catastrophe risk insurance industry
·         D. or Post Graduate in Water Resource Engineering/Hydraulics Engineering/Hydrology with 3 to 5 years or research or industry project experience from a reputed institute
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AbstractInspired by the work of Newton, Darwin, and Wegener, this paper tracks the drivers and dynamics that have shaped the growth of hydrological understanding over the last century. On the basis of an interpretation of this history, the paper then speculates about what kind of future is in store for hydrology and how we can better prepare for it. The historical narrative underpinning this analysis indicates that progress in hydrological understanding is brought about by changing societal needs and technological opportunities: new ideas are generated by hydrologists through addressing societal needs with the technologies of their time. We suggest that progress in hydrological understanding over the last century has expressed itself through repeated cycles of euphoria and disenchantment, which have served as stimuli for the progress. The progress, for it to happen, also needed inspirational leaders as well as a supportive scientific community that provided the backdrop to major advances in the field. The paper concludes that, in a similar way to how Newton, Darwin, and Wegener conducted their research, hydrology too can benefit from synthesis activities aimed at “connecting the dots.”

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The work carried out by Ila Chawla along with Prof. P.P. Mujumdar titled "Partitioning Uncertainty in Streamflow Projections under Nonstationary Model Conditions" was recently published in the Advances in Water Resources Journal.

In this work, the authors, in a novel attempt, have addressed the possibility of nonstationary hydrological model (here they have used the VIC land surface model coupled with a routing model). They found that the hydrological model parameters, which are influenced by climate variables, vary over time, and thus may not be assumed to be stationary. Further, the work also involves attribution the total uncertainty in the streamflow projections to multiple effects such as, model parameters, GCM simulations, emission scenarios, land use scenarios, the assumption of hydrological model stationarity, along with internal variability of the model. The Upper Ganga Basin (UGB) is considered as a case study for this analysis.

Further details on the work can be found here:

Authors are glad to share their article with interested readers.

Correspondence to:
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Announcements / Prof. Mike Wallace's visit to CAOS (November 8-12, 2016)
« on: November 03, 2016, 10:16:37 AM »

Prof. john m. wallace of the university of Washington, seattle will be
visiting CAOS during the period November 8-12, 2016.

he is scheduled to give two talks, one on November 8 (Tuesday) and one on
November 10, both at 4pm.

1) The tropical atmospheric signature of ENSO (8/11/2016)

2) The dominant patterns of variability of global SST (10/11/2016).


Speaker: John M Wallace
         University of Washington, Seattle, USA

Date:  November 8, 2016 (Tuesday)

Time: 4PM

Venue: CAOS Seminar Hall


The atmospheric signature of ENSO, obtained by regressing fields of
geopotential height Z, wind, vertical velocity, and rainfall upon the
Nino 3.4 index, is partitioned into zonally symmetric and eddy
components. The zonally symmetric component is mechanically forced by
the weakening of the upper tropospheric equatorial stationary waves
and thermally forced by the equatorward shifting of the tropical
rainfall during El Nino (and vice versa). The eddy component is made
up of a planetary wave signature, the sum of baroclinic and barotropic
contributions, plus a residual. The baroclinic contribution is defined
as the leading EOF of the eddy Z regression coefficient matrix: the
EOFs are horizontal patterns and PCs are vertical profiles of their
amplitude and polarity. It exhibits a nearly equatorially symmetric
planetary wave structure comprising three dumbbell-shaped features
suggestive of equatorial Rossby waves. The weaker barotropic
contribution reflects the more top-heavy vertical profiles of
planetary wave amplitude in the cooler regions of the tropics versus
more bottom-heavy profiles in the warmer regions. The planetary wave
component accounts for nearly all the eddy ENSO signature in the free
atmosphere. The residual is dominated by a shallow, convergent,
boundary layer signature forced by the weakening of the equatorial
cold tongue in SST. The anomalous boundary layer convergence drives a
deep convection signature whose upper tropospheric outflow is an
integral part of the planetary wave signature of ENSO.


Title: The dominant patterns of variability of global SST

Speaker: John M Wallace
         University of Washington, Seattle, USA

Date:  November 10, 2016 (Thursday)

Time: 4PM

Venue: CAOS Seminar Hall


Empirical  orthogonal function  (EOF) analysis  of global  sea surface
temperature yields  modes in which interannual  variability associated
with  ENSO and  the lower  frequency variability  associated with  the
Pacific  decadal  oscillation  (PDO)  and  the  Atlantic  multidecadal
oscillation (AMO) are scrambled together with one another and with the
signature of global warming. Some  of the scrambling results from mode
mixing --  a term  I will  use in reference  to commingled  modes with
different  time   scales.  Using  sequences  of   pairwise  orthogonal
rotations of  the EOFs, it is  possible, without recourse to  a priori
filtering, to  recover a  relatively smooth, monotonic  global warming
signature along with dynamical modes  that resemble ENSO, the PDO, and
the AMO.  Novel elements  in the  rotation protocol  are (1)  a simple
algorithm to eliminate mode mixing between the dynamical modes and the
global warming  mode by transferring the  linear trends in the  PCs of
the former into the PCs of the latter and (2) a rationale for choosing
a rotation angle  that reduces or eliminates  correlations between the
paired PCs in  different specified frequency ranges.  The algorithm in
(1) is used  to compare the contributions of the  Atlantic and Pacific
dynamical modes  to the variance of  global mean SST (GSST)  about its
own trend line. The Pacific modes account for a larger fraction of the
variance but the  Atlantic mode plays an important  role in modulating
the rate of rise of GSST on the multidecadal time scale.
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Post your question/information / Re: Cauvery (Kaveri) River Water Dispute
« on: October 07, 2016, 01:54:07 PM »
Hi Alok,

             In the past it was a hydrological problem, but now it has been turned into social, cultural even legal problem.  Some times, I was thinking, instead of dividing the state with respect to language or other criteria, we should have divided the states with respect to hydrological basis. 

Thanks for sharing.
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