Nasser Najibi

Nasser Najibi
Cornell University | CU · Department of Biological and Environmental Engineering

Doctor of Philosophy

About

21
Publications
7,628
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405
Citations
Additional affiliations
August 2019 - present
Cornell University
Position
  • PostDoc Position

Publications

Publications (21)
Article
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In recent years, extreme hydro-climate events (such as floods and droughts) have occurred more frequently, leading to significant threats to lives and damage of property [...]
Article
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Plain Language Summary The intensification of precipitation with warming is a major impact of climate change, and is driven by the increased moisture holding capacity of the air as temperatures rise. The rate of intensification (i.e., the percent increase in precipitation for every degree of warming) is an important scientific question with major i...
Article
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This study investigates how extreme precipitation scales with dewpoint temperature across the northeastern United States, both in the observational record (1948–2020) and in a set of downscaled climate projections in the state of Massachusetts (2006–99). Spatiotemporal relationships between dewpoint temperature and extreme precipitation are assesse...
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We introduce the idea of simultaneous heavy precipitation events (SHPEs) to understand whether extreme precipitation has a spatial organization manifested as specified tracks or contiguous fields with inherent scaling relationships. For this purpose, we created a database of SHPEs using ground‐based precipitation observations recorded by the daily...
Article
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Weather regime based stochastic weather generators (WR‐SWGs) have recently been proposed as a tool to better understand multi‐sector vulnerability to deeply uncertain climate change. WR‐SWGs can distinguish and simulate different types of climate change that have varying degrees of uncertainty in future projections, including thermodynamic changes...
Article
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We present a physically based Bayesian network model for inference and prediction of flood duration that allows for a deeper understanding of the nexus of antecedent flow regime, atmospheric blocking, and moisture transport/release mechanisms. Distinct scaling factors at the land surface and regional atmospheric levels are unraveled using this Baye...
Article
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Frequency and duration of floods are analyzed using the global flood database of the Dartmouth Flood Observatory (DFO) to explore evidence of trends during 1985–2015 at global and latitudinal scales. Three classes of flood duration (i.e., short: 1–7, moderate: 8–20, and long: 21 days and above) are also considered for this analysis. The nonparametr...
Article
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Frequency and duration of flood events are analyzed using Dartmouth Flood Observatory's (DFO) global flood database to detect significant trends and regime shifts during 1985–2015 at global and latitudinal scales. Three classes of flood duration (i.e. short: 1–7, moderate: 8–20, and long: 21 days and above) are also considered for this analysis. Th...
Article
A comprehensive framework is developed to assess the flood types, their spatiotemporal characteristics and causes based on the rainfall statistics, antecedent flow conditions, and atmospheric teleconnections. The Missouri River Basin (MRB) is used as a case study for the application of the framework. Floods are defined using the multivariate charac...
Article
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The variability of snow accumulation and melting is one of the most important interactions of the Earth’s surface with atmosphere through energy transmission and mass balance. In this paper, the effects of snow accumulation and melting together with bare soil and fixed snow depth on the reflected global positioning system (GPS) signals are investig...
Chapter
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The GPS signals are RHCP that can be arrived at the GPS receiver via two different polarizations, including RHCP and LHCP. Although the GPS receivers are designed basically to obtain RHCP signals, but they can receive a low percentage of LHCP signals, which are coming mainly from the surroundings of the GPS receivers. If the incidence angle for a R...
Article
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The Global Positioning System (GPS) reflected signals are able to remotely sense the Earth surface characteristics, such as soil moisture, snow depth, vegetation growth and ocean wave height. Since the snow depth is coupling with surface temperature, it is possible to estimate the snow depth and surface air temperature by incorporating GPS-Reflecto...
Article
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GNSS-R (Global Navigation Satellite System-Reflectometry) can remotely sense Earth's surface characteristics and retrieve geophysical parameters, e.g., snow depth and soil moisture. However the surface reflectivity interaction and scattering characteristics from GNSS signals are not clear. In this paper, we model the scattering properties and inves...
Article
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Terrain-independent Rational Polynomial Coefficients (RPCs) are considered as most important part of the optical satellite and aerial imagery data processing especially those ones with high resolution since the proposed RPCs by the aerospace companies have some limitations in particular for using directly by the geoscientists in environmental studi...
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The in-situ measurements of snow surface temperature (SST) and snow height (SH) are very difficult with high costs, particularly in Greenland Ice Sheet (GrIS). In this paper, the reflected signals from ground GPS receivers are used to sense the SST and SH variations based on the thermophysical behavior and variations of snow layer from April to Jun...
Article
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Seasonal snow-covered surface has a critical role in global water resource supplement especially providing fresh water for humankind and flora's consumptions as well as local underground water storages. The in situ measurements of seasonal snow-covered variability are extensively prodigal and costly particularly in existence of severe climate condi...
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The Global Positioning System (GPS) reflected signal has been demonstrated to remotely sense the oceans, land surfaces and the cryosphere, including measuring snow depth, soil moisture, vegetation growth and wind direction. Since the Earth surface's characteristics are very complex, the surface reflectivity process and interaction with GPS signals...
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The establishment and maintenance of marine structures and near-shore constructions together require having sufficient and accurate information about sea level variations not only in the present time but also in the near future as a reliable prediction. It is therefore necessary to analyze and predict Mean Sea Level (MSL) for a specific time consid...
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This study proposes two methods to improve the strategy of updating Geospatial Information System (GIS) urban maps using satellite high-resolution remote sensed images. Both methods are based on the input of a priori knowledge provided by GIS data and a Digital Surface Model (DSM). In fact an object in the image that is semantically different from...
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In glaciology the sea ice has been explained as a frozen shape of ocean surface water which normally forms, grows, and melts strictly in the ocean so that up to 15 percent of the world's oceans are covered by sea ice while the glaciers, ice sheets, and ice shelves form on the land. In this study the variations of sea ice surface temperature of Baff...
Article
In recent two decades, the Global Positioning System (GPS) reflected signals demonstrated to remotely sense the surface characteristics and variabilities, such as measuring the soil moisture, sea level changes, snow depth and vegetation growth. Furthermore, GPS-Reflectometry has advantages to perform as a remote sensing tool when compared with trad...

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