General Information

Employment History

CONTACT ME

OFFICE

The City College of New York

MR-927

Marshak Building

160 Convent Ave

New York, NY 10031

RESEARCH

Nexrad Project (2016 - Present)

Extratropical cyclones (ETC) are the most common cause of extreme precipitation in mid-latitudes. Vertical motion within an ETC can be driven by isentropic lifting, upright convection and slantwise convection. These different mechanisms can deliver different rain rates, might respond differently to global warming, and the profile of condensational heating associated with these different pathways impact the storms differently. In this project we compare different metrics for identifying convection within the ETCs and calculate the relative contribution of convection to total ETC precipitation. We also determine if convection occurs preferentially in specific regions of the storm and decide how to best utilize GPM retrievals covering other parts of the mid-latitudes.

SWE Algorithm (2013 - Present)

Snow is a key element of the water and energy cycles and the knowledge of spatio-temporal distribution of snow depth and snow water equivalent (SWE) is fundamental for hydrological and climatological applications. In this project, we develop a new operational algorithm applied to historical AMSR-E data. The new algorithm here proposed makes use of climatological data, electromagnetic modeling and artificial neural networks for estimating snow depth as well as a spatio-temporal dynamic density scheme to convert snow depth to SWE. The outputs of the new algorithm are compared with those of the current AMSR-E operational algorithm as well as in-situ measurements and other operational snow products, specifically the Canadian Meteorological Center (CMC) and GlobSnow datasets. Our results show that the AMSR-E algorithm here proposed generally performs better than the operational one and addresses some major issues identified in the spatial distribution of snow depth fields associated with the evolution of effective grain size.

Vertical Velocity (2013 - 2014)

Convective vertical velocity is derived from time-delayed (1–2 min) IR measurements from MODIS and IIR. Convective vertical velocities are found to be clustered around 2–4 m/s but the distributions are positively skewed with long tails extending to larger values. Land convection during the 13:30 overpasses has higher vertical velocities than those during the 1:30 overpasses; oceanic convection shows the opposite, albeit smaller, contrast. Our results also show that convection with larger vertical velocity tends to transport larger precipitation-size particle and/or greater amount of water substance to higher altitude and produces heavier rainfall. Finally, we discuss the implications of this study for the designs of future space-borne missions that focus on fast-evolving processes such as those related to clouds and precipitation.

SSMT/2 Calibration (2010 - 2014)

SSM/T2 satellites are first inter-calibrated within one another using relative calibration techniques such as zonal averages, natural target location and SNO. Tropical ocean analysis were highly valued to obtain bias between different combination of satellites. F14 was used as the base, because of the high availability of data and the overlap over all satellites. Brightness temperatures of F11 must be made cooler by 1K, F12 warmer by 0.5 K and F15 cooler by 0.5 K. Since F14 is used as the base of relative calibration, F14 was absolutely calibrated with simulated CRTM brightness temperatures obtained using MOZAIC ascent/descent profiles. Absolute calibration was limited by the number of data points available after the essential filtering. After 2004, F14 and F15 satellites have a sudden change in bias. Towards the end of F11 and F12 number of data points are much lower. Thus analysis over these years cannot be considered accurate. These years were therefore not included in the bias estimations.

Department of Transportation RWIS Network (2014)

The objective of this project was to develop a plan for deploying a statewide RWIS to support both current NYSDOT operations and future MDSS applications. The recommended RWIS network shall provide and monitor timely road weather condition for decision making by road maintenance agencies, which ultimately leads to a higher level of service and reduced weather-related congestion delay and accidents, reduced cost, redundancy and environmental/ecological impacts, more efficient use of manpower, contractor services, fleet and asset management, and increased accountability resulting in prudent and efficient spending. The optimal statewide RWIS network (i.e., typical RWIS stations) was recommended based on a bi-level optimization model considering weather severity and variability as well as the associated cost and benefit of each site.

Modele Atmospherique Regional (MAR) (2014 - Present)

In this study, we compare MAR outputs with other model outputs from RACMO and satellite outputs from RACMO.
I was involved in the modification of running MAR with MERRA2 reanalysis data over Himalayas, Antarctica and Greenland.
Analyzed MAR outputs to show that the persistence of an exceptional atmospheric ridge, centred over the Arctic Ocean, was responsible for a poleward shift of runoff, albedo and surface temperature records over the Greenland during the summer of 2015

Study of Hurricane Intensity (2009 - 2010)

In this study, we try to predicting the hurricane intensity by using the Moist Static Energy to estimate wind speeds, using Dr. Kerry Emanuel's method. We use data collected by NOAA hurricane hunters (reconnaissance data). Initially we find the Moist Static Energy using information gathered from the reconnaissance data and then estimate the MSE between the eyewall and the outer region of the hurricane. Using this, we then calculate the wind speeds using the Emanuel Method. Finally we compare these wind speeds with the actual recorded wind speeds obtained from the aircraft data.

PROJECTS

Ad Hoc Networking (2008)

Designed OPNET algorithm to improve quality of video transfer from one node to another via ad hoc Network, by using buffered smart nodes.

Created system-in-the-loop setup with multiple machines and real-life data packets to analyze bit rate, packet loss ratios and SNR.

Network Simulations (2011)

Created packet switched network in OPNET using dynamic routing protocol for specified network design.

Simulated VOIP scenario over ad hoc Network.

Built and improved performances of video transfer over a Bluetooth Mobile ad hoc Network.

USB Interface Board (Senior Project) (2009)

Designed USB interface device capable of controlling actuators.

Scripted software patch for use with Arduino Programming Language to program PIC.

Team leader of 5 holding weekly status meetings to monitor progress and resolve project obstacles.

PUBLICATIONS